Observation List
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/?format=api&offset=8400
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=8500", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=8300", "results": [ { "ob_id": 37776, "uuid": "caf598e54c674d219f2e245df32dbc1a", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.18 (v20220718)", "abstract": "Data for Figure 8.18 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.18 shows projected long-term relative changes in seasonal mean runoff.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global maps of projected relative change (%) in runoff seasonal mean for:\r\n \r\n - December–January–February (DJF; left panels)\r\n - June–July–August (JJA; right panels)\r\n\r\n The data are averaged across CMIP6 models for the SSP1.2-6, SSP2-4.5 and SSP5-8.5 scenarios. All changes are estimated in 2081–2100 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreemeent' or 'slashes' in the filename\r\n\r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, multi-model, seasonal, mean, runoff, change, long-term", "publicationState": "citable", "dataPublishedTime": "2023-01-25T15:23:13", "doiPublishedTime": "2023-05-15T12:27:48.368935", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37777/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_08/ch8_fig18/v20220718", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3487819, "numberOfFiles": 15, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10436/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62731/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12483/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32723/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180261/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37778/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37779, "uuid": "b03a4577108545c2a05bbae2d9759f9d", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.21 (v20220718)", "abstract": "Data for Figure 8.21 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.21 is a schematic depicting understanding of large-scale circulation changes and effects of the regional water cycle.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The three maps subpanels in the middle of the figure have data provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Precipitation minus evaporation (P–E) changes at 3°C of global warming relative to an 1850–1900 base period (mean of 23 CMIP6 SSP5-8.5 simulations) for:\r\n . Annual mean changes\r\n . Seasonal mean changes (DJF, JJA)\r\n \r\n - Precipitation minus evaporation (P–E) climatology (annual mean, 1850-1900).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The map for the annual case (subdir ANN) has two data files :\r\n 1. One for the colored , P-E change, field :\r\n - Fig8-21_ANN_P-E_mean-change_ssp585_ANN_1850-1900_plus3K.nc\r\n \r\n 2. One for the P-E climatology (for red isoline 0) :\r\n - Fig8-21_ANN_P-E_mean_piControl_ANN_1850-1900_.nc. The solid and dashed contours are isolines 0 of that data, masked out over continents. The decision between solid and dashed line is a manual one, based on the latitude of the line. \r\n\r\nThe seasonal panels (subdirs DJF and JJA) have a single file for the colored, P-E change, field.\r\npanel_DJF: Fig8-21_DJF_P-E_mean-change_ssp585_DJF_1850-1900_plus3K.nc\r\npanel_JJA: Fig8-21_JJA_P-E_mean-change_ssp585_JJA_1850-1900_plus3K.nc\r\n\r\nCLARIFICATION: The following file names have been changed from the original, for the purposes of conforming to the file naming standards for the CEDA catalogue. \r\n- panel_ANN: Fig8-21_ANN_P-E_mean-change_ssp585_ANN_1850-1900_+3K.nc -> Fig8-21_ANN_P-E_mean-change_ssp585_ANN_1850-1900_plus3K.nc\r\n- panel_DJF: Fig8-21_DJF_P-E_mean-change_ssp585_DJF_1850-1900_+3K.nc -> Fig8-21_DJF_P-E_mean-change_ssp585_DJF_1850-1900_plus3K.nc\r\n- panel_JJA: Fig8-21_JJA_P-E_mean-change_ssp585_JJA_1850-1900_+3K.nc -> Fig8-21_JJA_P-E_mean-change_ssp585_JJA_1850-1900_plus3K.nc\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation, evaporation, change, scenario, P-E", "publicationState": "citable", "dataPublishedTime": "2023-01-25T15:28:05", "doiPublishedTime": "2023-05-15T12:30:42.127715", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37780/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_08/ch8_fig21/v20220718", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1092598, "numberOfFiles": 7, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10437/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63571/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12484/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32723/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180271/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37781/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37782, "uuid": "47961b1927b8492990ed92f10a514b6b", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.25 (v20220718)", "abstract": "Data for Figure 8.25 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.25 shows the effect of first versus second 2°C of global warming relative to 1850-1900 on seasonal mean precipitation.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains CMIP6 multi-model ensemble mean December–January–February (left panels) and June–July–August (right panels) precipitation difference for:\r\n \r\n - SSP5-8.5 scenario at +2°C\r\n - SSP5-8.5 scenario at +4°C minus SSP5-8.5 at +2°C (second 2°C warming)\r\n - Second minus first 2°C fast warming.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreement' or 'slashes' in the filename\r\n \r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation, response to warming, non-linear, 2 degrees", "publicationState": "citable", "dataPublishedTime": "2023-01-25T15:34:35", "doiPublishedTime": "2023-05-15T12:33:03.266040", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37783/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_08/ch8_fig25/v20220718", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3477999, "numberOfFiles": 15, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10438/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88542/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12485/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32723/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180281/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37784/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37785, "uuid": "ef3dd7efa4f442b2812c4ee905f794c2", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.26 (v20220718)", "abstract": "Data for Figure 8.26 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 8.26 shows the rate of change in basin-scale annual mean runoff with increasing global warming levels.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There is one single NetCDF file for data for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains relative changes (%) in basin-averaged annual mean runoff estimated as multi-model ensemble median from a variable subset of CMIP6 models for each SSP over nine major river basins:\r\n \r\n - Mississippi (a),\r\n - Danube (b),\r\n - Lena (c),\r\n - Amazon (d),\r\n - Euphrates (e),\r\n - Yangtze (f),\r\n - Niger (f),\r\n - Indus (g),\r\n - Murray (h).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The NetCDF file contains a multi-dimensionnal variable 'mrro_mean' which matches the various curves showing in the figure. These are parametric curves, and the parameter is a period index. The file also contains a variable 'tas' for the value of global warming for the period, for each scenario.\r\n \r\n Dimension 'period' is a period index, which is the parameter for the parametric curves linking variables 'mrro_mean' and 'tas'. Period value 1 stands for 1901-1920, 2 for 1911-1920 ...,\r\n \r\n Dimension ssp is the SSP index, for that order : ssp585 , ssp245 , ssp126.\r\n \r\n Variable 'tas' is the change of globally averaged surface temperature w.r.t. 1850-1900 average, indexed by period.\r\n \r\n Variable mrro_mean provide statistics of relative changes (%) of runoff in basin-averaged annual mean runoff. The basin averages have been estimated after a first-order conservative remapping of the model outputs on the 0.5° by 0.5° river network of (Decharme et al., 2019). It is indexed by :\r\n - dimension 'stats' for statistics over a CMIP6 multi-model ensemble, in that order : percentile 5, mean, and percentile 95,\r\n - dimension 'basin' for this ordered list : Mississippi, Danube, Lena, Amazon, Euphrates, Yangtze, Niger, Indus, Murray\r\n \r\n Variable mrro_std is not used in the figure.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP stands for Shared Socioeconomic Pathway.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Curves are parametric curves. The parameter is the period index.\r\n\r\n So each curve for a given statistics 'stat', scenario 'ssp' and basin 'basin' is defined by varying period_index in:\r\n \r\n x=tas(ssp,period_index),\r\n \r\n y=mrro_mean(ssp, basin, stat, period_index)\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, runoff, runoff change, runoff rate of change, runoff change with warming, basin runoff, multi-model, scenarios, Mississipi , Danube, Lena, Amazon, Euphrates, Yangtze, Niger, Indus, Murray", "publicationState": "citable", "dataPublishedTime": "2023-01-25T15:46:36", "doiPublishedTime": "2023-05-15T12:37:10.660000", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37786/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_08/ch8_fig26/v20220718", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 29728, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10439/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63569/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12486/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32723/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180291/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37787/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37789, "uuid": "a1247fe8044946d29b205d655f61c9dd", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Kufstein, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Kufstein, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11130.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2022-07-08T23:09:30", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37788/?format=api", "dataPath": "/badc/eprofile/data/daily_files/austria/kufstein/zamg-vaisala-cl51_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1000783409, "numberOfFiles": 401, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10440/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3570/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). 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This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-826-300-3.\r\nSee online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2022-07-11T08:34:26", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37802/?format=api", "dataPath": "/badc/eprofile/data/daily_files/uk/chilbolton-atmospheric-observatory/ncas-vaisala-cl51_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3379160034, "numberOfFiles": 1273, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10444/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3571/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46598/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32779/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34905/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180343/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/37804/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2527/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/cuncgl", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 37805, "uuid": "399a75d2538a471cb529d1f0fa01410e", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.18 (v20220721)", "abstract": "Input Data for Figure 7.18 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.18 shows a summary of the equilibrium climate sensitivity and transient climate response assessments using different lines of evidence. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with input data provided for both panels. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Equilibrium climate sensitivity (ECM) estimates. \r\n Assessment methods:\r\n - Process understanding\r\n - Instrumental record\r\n - Paleoclimates\r\n - Emergent constraints\r\n - Combined assessment\r\n - CMIP6 ESMs\r\n\r\n- (b) Transient climate response (TCR) estimates. \r\n Assessment methods:\r\n - Process understanding\r\n - Instrumental record\r\n - Paleoclimates\r\n - Emergent constraints\r\n - Combined assessment\r\n - CMIP6 ESMs\r\n\r\nAssessed ranges are taken from Tables 7.13 and 7.14 for ECS and TCR respectively. \r\nNote that for the ECS assessment based on both the instrumental record and paleoclimates, limits (i.e., one-sided distributions) are given, which have twice the probability of being outside the maximum/minimum value at a given end, compared to ranges (i.e., two-tailed distributions) which are given for the other lines of evidence. For example, the extremely likely limit of greater than 95% probability corresponds to one side of the very likely (5–95%) range. Best estimates are given as either a single number or by a range represented by a grey box. CMIP6 model values are not directly used as a line of evidence but presented on the Figure for comparison.\r\n \r\nECS values are taken from Schlund et al. (2020) and TCR values from Meehl et al. (2020); see Supplementary Material 7.SM.4. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.18:\r\n \r\n - Data file: ecs_for_faq.csv\r\n - Data file: tcr_for_faq.csv\r\n\r\nData is also provided in xlsx format, which is the format used by the plotting script linked in the Related Documents section.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nESM stands for Earth System Model. \r\nACCESS1-0 is the Australian Community Climate and Earth System Simulator coupled climate model version 1.0.\r\nACCESS1-3 is the Australian Community Climate and Earth System Simulator coupled climate model version 1.3.\r\nACCESS-CM2 is the Australian Community Climate and Earth System Simulator coupled climate model.\r\nACCESS-ESM1-5 is the Australian Community Climate and Earth System Simulator Earth system model version designed to participate in CMIP6 simulations.\r\nAWI-CM-1-1-MR is the Alfred Wegener Institute Climate Model version 1.1 - Medium Resolution, with locally-increased horizontal resolution over energetically active ocean areas.\r\nBCC-CSM1-1 is the Beijing Climate Center Climate System Model version 1.1.\r\nBCC-CSM1-1-M is the Beijing Climate Center Climate System Model version 1.1, with a moderate resolution.\r\nBCC-CSM2-MR is the Beijing Climate Center Climate System Model version 2 - moderate vertical resolution.\r\nBNU-ESM is the Beijing Normal University Earth System Model.\r\nBNU-ESM1 is the Beijing Normal University Earth System Model version 1.\r\nCAMS-CSM1-0 is the Chinese Academy of Meteorological Sciences Climate System Model version 1.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nCanESM2 is the Canadian Earth System Model version 2.\r\nCCSM3 is the Community Climate System Model version 3.\r\nCAS-ESM2-0 is the Chinese Academy of Sciences Earth System Model version 2.0.\r\nCESM2 is the Community Earth System Model version 2.\r\nCESM2-FV2 is the Community Earth System Model version 2 - Finite Volume with a 2 degree resolution. \r\nCESM2-WACCM is the Community System Model version 2 - Whole Atmosphere Community Climate Model.\r\nCMCC-CM2-SR5 is the Euro-Mediterranean Centre on Climate Change Coupled Climate Model version 2 - standard configuration.\r\nCNRM-CM5 is the Centre National de Recherches Météorologiques Climate Model for CMIP5.\r\nCNRM-CM5-2 is the Centre National de Recherches Météorologiques Climate Model for CMIP5, version 2.\r\nCNRM-CM6-1 is the Centre National de Recherches Météorologiques Climate Model for CMIP6.\r\nCNRM-CM6-1-HR is the Centre National de Recherches Météorologiques Climate Model for CMIP6 - altered Horizontal Resolution.\r\nCNRM-ESM2-1 is the Centre National de Recherches Météorologiques Earth System Model, derived from CNRM-CM6-1.\r\nCSIRO-Mk3-6-0 is the Commonwealth Scientific and Industrial Research Organisation Atmosphere Ocean Global Climate Model (GCM).\r\nE3SM-1-0 is the Energy Exascale Earth System Model version 1.0.\r\nEC-Earth3-Veg is the European Community Earth-system model version 3, with the Global Circulation Model (GCM) coupled to the dynamic vegetation model.\r\nFGOALS-f3-L is the Flexible Global Ocean-Atmosphere-Land System Model, Finite-volume version 3, low horizontal resolution. \r\nFGOALS-g2 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2.\r\nFGOALS-g3 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 3.\r\nGFDL-CM3 is the Geophysical Fluid Dynamics Laboratory - Climate Model 3.\r\nGFDL-ESM2G is the Geophysical Fluid Dynamics Laboratory - Earth System Model version 2, multi-centennial warming.\r\nGFDL-ESM2M is the Geophysical Fluid Dynamics Laboratory - Earth System Model version 2, multi-centennial cooling. \r\nGISS-E2-1-G is the Goddard Institute for Space Studies - chemistry-climate model version E2.1, using the GISS Ocean v1 (G01) model.\r\nGISS-E2-H is the Goddard Institute for Space Studies coupled general circulation model (CGCM) - ocean configuration coupled to the \r\nHYCOM is the Hybrid Coordinate Ocean Model.\r\nGISS-E2-R is the Goddard Institute for Space Studies coupled general circulation model (CGCM) - ocean configuration coupled to the Russell OGCM.\r\nHadGEM2-ES is the Met Office Hadley Centre Global Environment Model version 2 - Earth System. \r\nHadGEM3-GC31-LL is the Met Office Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N96/ORCA1.\r\nHadGEM3-GC31-MM is the Met Office Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N216/ORCA025.\r\nHYCOM is the Hybrid Coordinate Ocean Model. \r\nINMCM4 is the Institute for Numerical Mathematics Climate Model version 4.0. \r\nINM-CM4-8 is the Institute for Numerical Mathematics Climate Model version 4.8.\r\nINM-CM5-0 is the Institute for Numerical Mathematics Climate Model version 5.0. \r\nIPSL-CM5A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP5 - Low Resolution, with re-parameterised cloud configuration.\r\nIPSL-CM5A-MR is the Institut Pierre-Simon Laplace Climate Model for CMIP5 - Mixed Resolution, with a higher horizontal atmospheric resolution.\r\nIPSL-CM5B-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP5 - Low Resolution, with a LMDZ5B atmospheric component.\r\nIPSL-CM6A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP6 - Low Resolution.\r\nKACE-1-0-G is the Korean Advanced Community Earth system model. \r\nMCM-UA-1-0 is the Manabe Climate Model - University of Arizona - version 1.0. \r\nMIROC-ES2L is the Model for Interdisciplinary Research on Climate - Earth System version 2 for Long-term simulations.\r\nMIROC-ESM is the Model for Interdisciplinary Research on Climate - Earth System Model.\r\nMIROC5 is the Model for Interdisciplinary Research on Climate version 5.\r\nMIROC6 is the Model for Interdisciplinary Research on Climate version 6.\r\nMPI-ESM-1-2-HAM is the Max Planck Institute Earth System Model - version 2 - Hamburg Aerosol Model.\r\nMPI-ESM1-2-HR is the Max Planck Institute Earth System Model - version 2 - altered Horizontal Resolution.\r\nMPI-ESM1-2-LR is the Max Planck Institute Earth System Model - version 2 - Low Resolution.\r\nMPI-ESM-LR is the Max Planck Institute Earth System Model - Low Resolution.\r\nMPI-ESM-MR is the Max Planck Institute Earth System Model - Mixed Resolution.\r\nMPI-ESM-P is the Max Planck Institute Earth System Model - with reconfiguration of orbit and vegetation. \r\nMRI-CGCM3 is the Meteorological Research Institute - Coupled General Circulation Model version 3. \r\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model version 2.0.\r\nNESM3 is the Nanjing University of Information Science and Technology Earth System Model version 3.\r\nNorCPM1 is the Norwegian Climate Prediction Model version 1.\r\nNorESM1-LM is the Norwegian Earth System Model version 1 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-LM is the Norwegian Earth System Model version 2 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-MM is the Norwegian Earth System Model version 2 - 1 degree resolution for all model components.\r\nRussell OGCM is the Russell Ocean General Circulation Model. \r\nSAM0-UNICON is the Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme.\r\nTaiESM1 is the Taiwan Earth System Model version 1.\r\nUKESM1-0-LL is the UK Earth System Model - version 1 - 2 degree resolution for all model components.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The input data provided is used in the notebook to output figure 7.18. To reproduce the figure from the input data, you will need to edit the path 'datadir' in box 6 of the notebook based on your local directory structure. The notebook runs with data in .xlsx format but the data is also provided in .csv format here.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.\r\n - Link to notebook for plotting figure from the Chapter 7 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ECS, TCR, palaeoclimate, process, emergent constraints, observations", "publicationState": "citable", "dataPublishedTime": "2023-05-15T16:48:02", "doiPublishedTime": "2023-07-10T14:43:04.464631", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38064/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig18/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 38366, "numberOfFiles": 7, "fileFormat": "XLSX, CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12641/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180607/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39592/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37806, "uuid": "b9303c07edb24582b45088795f347ca9", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.17 (v20220721)", "abstract": "Data for Figure 7.17 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.17 shows time evolution of the effective radiative forcing (ERF) to the CO2 concentration increased by 1% per year until year 70 (equal to the time of doubling) and kept fixed afterwards, and surface temperature response to the CO2 forcing calculated using the emulator.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Idealized radiative forcing. Time evolution of the effective radiative forcing (ERF) to the CO2 concentration increased by 1% per year until year 70 (equal to the time of doubling) and kept fixed afterwards (white line). The likely and very likely ranges of ERF indicated by light and dark orange have been assessed in Section 7.3.2.1. \r\n\r\n- (b) Emulated temperature response. Surface temperature response to the CO2 forcing calculated using the emulator with a given value of ECS, considering uncertainty in ΔF2×CO2, α, and κ associated with the ocean heat uptake and efficacy (white line). The likely and very likely ranges are indicated by cyan and blue, respectively. For comparison, the temperature response to abrupt doubling of the CO2 concentration is displayed by a grey curve. \r\n\r\nThe mean, likely and very likely ranges of ECS and TCR are shown at the right (the values of TCR also presented in panel b). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.17:\r\n \r\n - Data file: 'Figure_17_values_panel_a.csv'\r\n - Data file: 'Figure_17_values_panel_b.csv'\r\n - Data file: 'Figure_17_values_panel_b_side.csv'\r\n\r\nERF stands for Effective Radiative Forcing.\r\nTCR stands for Transient Climate Response.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures for Chapter 7 are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. \r\nThe data provided for this figure is the output plotted data as provided by the author.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 7 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ECS, TCR, forcing, temperature, ERF, CO2", "publicationState": "citable", "dataPublishedTime": "2023-05-15T16:04:42", "doiPublishedTime": "2023-07-10T14:34:37.211653", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40052/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/ch7_fig17/v20221017", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19825, "numberOfFiles": 6, "fileFormat": "CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12640/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180605/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39591/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37807, "uuid": "6fcc9d2c792243c1bb99de9c3cfdef2f", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.16 (v20220721)", "abstract": "Data for Figure 7.16 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.16 shows probability distributions of ERF to CO2 doubling and the net climate feedback, derived from process-based assessments in Sections 7.3.2 and 7.4.2. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels, with data written into the plotting script in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Probability distributions of ERF to CO2 doubling and ECS distribution quantile (ΔF2×CO2; top) \r\n- Net climate feedback (climate feedback parameter vs. effective radiative forcing from 2xCO2, bottom left) and probability density (α; bottom right)\r\n\r\nCentral panel shows the joint probability density function calculated on a two-dimensional plane of ΔF2×CO2 and α (red), on which the 90% range shown by an ellipse is imposed to the background theoretical values of ECS (colour shading). The white dot, and thick and thin curves inside the ellipse represent the mean, likely and very likely ranges of ECS. \r\n\r\nAn alternative estimation of the ECS range (pink) is calculated by assuming that ΔF2×CO2 and α have a covariance. The assumption about the co-dependence between ΔF2×CO2 and α does not alter the mean estimate of ECS but affects its uncertainty. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n No data is provided for Figure 7.16 as the data is written in to the notebook used to plot the figure. This notebook is linked in the Related Documents section of this catalogue record.\r\n\r\nERF stands for Effective Radiative Forcing.\r\nECS stands for Equilibrium Climate Sensitivity.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nWithin the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the notebook on the Chapter 7 GitHub repository used to plot figure", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, feedbacks, forcing, ECS, ERF, CO2", "publicationState": "published", "dataPublishedTime": "2023-05-31T14:42:18", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40275/?format=api", "dataPath": "https://github.com/IPCC-WG1/Chapter-7/blob/main/notebooks/020_chapter7_fig7.16.ipynb", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Jupyter notebook on the Chapter 7 GitHub repository" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195203/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39590/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2627/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://github.com/IPCC-WG1/Chapter-7/blob/main/LICENSE", "licenceClassifications": "" } ], "discoveryKeywords": [] }, { "ob_id": 37810, "uuid": "4dbd3ccb85d747188586735133f1d3d9", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.13 (v20220118)", "abstract": "Input Data for Figure 7.13 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.13 shows polar amplification in paleo proxies and models of the Early Eocene Climatic Optimum (EECO), the Mid-Pliocene Warm Period (MPWP) and the Last Glacial Maximum (LGM). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 12 subpanels, with input data provided for panels a-l.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nTemperature anomalies compared with pre-industrial (equivalent to CMIP6 simulation ‘piControl’) for:\r\n - the high-CO2 EECO and MPWP time periods\r\n - the low-CO2 LGM (expressed as pre-industrial minus LGM)\r\n\r\n(a), (b) and (c) Modelled near-surface air temperature anomalies for ensemble-mean simulations of the (a) EECO (Lunt et al., 2021); (b) MPWP (Haywood et al., 2020; Zhang et al., 2021); and (c) LGM (Kageyama et al., 2021; Zhu et al., 2021). Also shown are proxy near-surface air temperature anomalies (coloured circles). \r\n\r\n(d), (e) and (f) Proxy near-surface air temperature anomalies (grey circles), including published uncertainties (grey vertical bars), model ensemble mean zonal mean anomaly (solid red line) for the same model ensembles as in (a–c), light-red lines show the modelled temperature anomaly for the individual models that make up each ensemble (LGM, N=9; MPWP, N=17; EECO, N=5). \r\n\r\n(g), (h) and (i) Proxy sea surface temperature (SST) anomalies, including published uncertainties (grey vertical bars), model ensemble mean zonal mean anomaly (solid red line) for the same model ensembles as in (j-l), light-red lines show the modelled temperature anomaly for the individual models that make up each ensemble (LGM, N=9; MPWP, N=17; EECO, N=5).\r\n\r\n(j), (k) and (l) Modelled sea surface temperature (SST) for ensemble-mean simulations of the (a) EECO (Lunt et al., 2021); (b) MPWP (Haywood et al., 2020; Zhang et al., 2021); and (c) LGM (Kageyama et al., 2021; Zhu et al., 2021). \r\n\r\nBlack dashed lines show the average of the proxy values in each latitude band: 90°S–30°S, 30°S–30°N, and 30°N–90°N. \r\nRed dashed lines show the same banded average in the model ensemble mean, calculated from the same locations as the proxies. \r\nBlack and red dashed lines are only shown if there are five or more proxy points in that band. \r\n\r\nMean differences between the 90°S/N to 30°S/N and 30°S to 30°N bands are quantified for the models and proxies in each plot. \r\n\r\nFor the EECO maps – (a) and (j) – the anomalies are relative to the zonal mean of the pre-industrial, due to the different continental configuration. Proxy datasets are: (a) and (d) Hollis et al. (2019); (b) and (e) Salzmann et al. (2013); Vieira et al. (2018), (c) and (f) Cleator et al. (2020) at the sites defined in Bartlein et al. (2011); (g) and (j) Hollis et al. (2019); (h) and (k) McClymont et al. (2020); (i) and (l) Tierney et al. (2020b). Where there are multiple proxy estimations at a single site, a mean is taken. \r\n\r\nModel ensembles are:\r\n(a), (d), (g) and (j) DeepMIP (only model simulations carried out with a mantle-frame paleogeography, and carried out under CO2 concentrations within the range assessed in Table 2.2, are shown);\r\n(b), (e), (h) and (k) PlioMIP;\r\n(c), (f), (i) and (l) PMIP4. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.13:\r\n \r\nObserved data:\r\n - Data file: Figure7_13_obs.csv \r\n\r\nModel data:\r\n- model data in net-CDF files is contained in the directory 'Figure_7_13_mod' in separate directories for Eocene '/eocene', Mid-pliocene '/pliocene' and Last Glacial Maximum '/lgm' periods \r\n\r\nlandsea mask data:\r\n - Data file: Plio_enh_topo_v1.0_regrid.nc\r\n - Data file: peltier_ice4g_orog_21_regrid.nc\r\n - Data file: herold_etal_eocene_topo_1x1.nc\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nDeepMIP is The Deep-Time Model Intercomparison Project.\r\nPlioMIP is the Pliocene Model Intercomparison Project\r\nPMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data provided is the input data of plotting scripts which can be used to reproduce the figure. Plotting scripts for reproducing this figure are linked in the Related Documents section of this catalogue record. The notebook 'ipcc_figure_7.13.ipynb' can be run with the provided data to reproduce the figure, you need to edit the directory paths to match your local directory within the notebook.\r\nThe original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the plotting scripts to reproduce the figure \r\n - Link to the Chapter 7 GitHub repository\r\n - Link to the code for Chapter 7, archived on Zenodo", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, palaeoclimate, polar amplification, near-surface air temperature, sea surface temperature, SST, EECO, MPWP, LGM", "publicationState": "citable", "dataPublishedTime": "2023-06-01T08:20:58", "doiPublishedTime": "2023-07-10T13:19:45.627735", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40092/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig13/v20230118", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3794647, "numberOfFiles": 81, "fileFormat": "NetCDF, CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22883/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63566/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12639/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195340/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39589/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37812, "uuid": "a95ffffa5a734724b9cf307411208569", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.11 (v20220721)", "abstract": "Data for Figure 7.11 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.11 shows the temperature dependence of the feedback parameter, α (W m–2 °C–1), as a function of global mean surface air temperature anomaly relative to pre-industrial, for ESM simulations and paleoclimate proxies. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for the panel.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Feedback parameter α as a function of mean GSAT anomaly relative to pre-industrial for ESM simulations (red circles and lines)\r\n- Feedback parameter α as a function of mean GSAT anomaly relative to pre-industrial for paleoclimate proxies (grey squares and lines)\r\n\r\nReferences for ESM simulations: Caballero and Huber, 2013; Jonko et al., 2013; Meraner et al., 2013; Good et al., 2015; Duan et al., 2019; Mauritsen et al., 2019; Stolpe et al., 2019; Zhu et al., 2019a.\r\n\r\nReferences for paleoclimate proxies: von der Heydt et al., 2014; Anagnostou et al., 2016, 2020; Friedrich et al., 2016; Royer, 2016; Shaffer et al., 2016; Köhler et al., 2017; Snyder, 2019; Stap et al., 2019). \r\n\r\nFor the ESM simulations, the value on the x-axis refers to the average of the temperature before and after the system has equilibrated to a forcing (in most cases a CO2 doubling), and is expressed as an anomaly relative to an associated pre-industrial global mean temperature from that model. The light blue shaded square extends across the assessed range of α (Table 7.10) on the y-axis, and on the x-axis extends across the approximate temperature range over which the assessment of α is based (taken as from zero to the assessed central value of ECS; see Table 7.13). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.11:\r\n \r\n - Data file: Figure7_11.csv\r\n\r\nESM stands for Earth System Model.\r\nGSAT stands for Global Surface Air Temperature.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data provided is the output data of the figure which can be used to reproduce the figure. Plotting scripts for reproducing this figure are linked in the Related Documents section of this catalogue record.\r\nThe original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the code for Chapter 7, archived on Zenodo\r\n - Link to scripts used to reproduce figure from data\r\n - Link to the Chapter 7 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, feedbacks, palaeoclimate, Earth System models, sensitivity, non-linearity", "publicationState": "citable", "dataPublishedTime": "2023-05-31T13:59:00", "doiPublishedTime": "2023-07-10T12:47:50.080400", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40088/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/ch7_fig11/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6794, "numberOfFiles": 4, "fileFormat": "CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12638/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195307/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39588/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37813, "uuid": "80380cfc0b10478b8b5821c0facdbdda", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.10 (v20220721)", "abstract": "Input Data for Figure 7.10 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.10 shows global mean climate feedbacks estimated in abrupt4xCO2 simulations of 29 CMIP5 models and 49 CMIP6 models, compared with those assessed in this Report. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Global mean climate feedbacks estimated in abrupt4xCO2 simulations of 29 CMIP5 models and 49 CMIP6 models, compared with those assessed in AR6. The radiative kernels represented are the following:\r\n - Water vapour & lapse rate\r\n - Surface albedo\r\n - Cloud\r\n - Biogeophysical and non-CO2 biogeochemical\r\n - Net feedback\r\n - Planck response\r\n\r\nCMIP5 - light blue\r\nCMIP6 - orange\r\nThis Assessment Report - red\r\n\r\nIndividual feedbacks for CMIP models are averaged across six radiative kernels as computed in Zelinka et al. (2020). \r\nThe white line, black box and vertical line indicate the mean, 66% and 90% ranges, respectively. The shading represents the probability distribution across the full range of GCM/ESM values and for the 2.5–97.5 percentile range of the AR6 normal distribution. The unit is W m–2 °C–1. \r\nFeedbacks associated with biogeophysical and non-CO2 biogeochemical processes are assessed in AR6, but they are not explicitly estimated from general circulation models (GCMs)/Earth system models (ESMs) in CMIP5 and CMIP6. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.10:\r\n \r\n - Data file: cmip56_feedbacks_AR6.json\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The input json file provided is used in the notebook to output figure 7.10. To reproduce the figure from the input data, you will need to run the notebook from the same directory as the input data.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the notebook for plotting the figure on GitHub\r\n - Link to Zelinka et al. (2020)", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, feedbacks, sensitivity, climate sensitivity, CMIP6, CMIP5, global mean climate feedbacks, cloud, surface albedo, water vapour, water vapor, lapse rate, Planck response, Biogeophysical and non-CO2 biogeochemical, net feedback", "publicationState": "citable", "dataPublishedTime": "2023-05-15T15:46:55", "doiPublishedTime": "2023-07-10T11:49:19", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38063/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig10/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22130, "numberOfFiles": 4, "fileFormat": "json" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12637/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180599/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39587/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37815, "uuid": "5ef11ad195844a59b83393870a5860e1", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.8 (v20220721)", "abstract": "Data for Figure 7.8 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.8 shows attributed global surface air temperature change (GSAT) from 1750 to 2019 produced using the two-layer emulator (Supplementary Material 7.SM.2), forced with ERF derived in this chapter (displayed in Figure 2.10) and climate response constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nAttributed global surface air temperature change (GSAT) from 1750 to 2019 produced using the two-layer emulator (Supplementary Material 7.SM.2), forced with ERF derived in this chapter (displayed in Figure 2.10) and climate response constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1. The temperature contributions are expressed as follows:\r\n - carbon dioxide (CO2)\r\n - methane (CH4)\r\n - nitrous oxide (N2O)\r\n - other well-mixed greenhouse gases (WMGHGs)\r\n - ozone (O3)\r\n - aerosols\r\n - other anthropogenic forcings\r\n - total anthropogenic \r\n - solar\r\n - volcanic\r\n - total forcing\r\n\r\nThe results shown are the medians from a 2237-member ensemble that encompasses uncertainty in forcing and climate response (year-2019 best estimates and uncertainties are shown in Figure 7.7 for several components). Shaded uncertainty bands show very likely (5–95%) ranges. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.8:\r\n \r\n - Data file: fig7.8.csv\r\n\r\nERF stands for Effective Radiative Forcing. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository, which is linked in the 'Related Documents' section. Within the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo\r\n- Link to the Chapter 7 GitHub repository \r\n- Link to the notebook for plotting figure", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, temperature, anthropogenic, natural, greenhouse gases, aerosols, Global Surface Air Temperature, GSAT", "publicationState": "citable", "dataPublishedTime": "2023-05-15T15:18:27", "doiPublishedTime": "2023-07-06T15:44:02.369757", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39755/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/ch7_fig08/v20220721/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 190785, "numberOfFiles": 4, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10471/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12635/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180598/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39586/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37817, "uuid": "0dd364e74c254b64bb5fddb5dceed364", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.6 (v20220721)", "abstract": "Data for Figure 7.6 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.6 shows the change in effective radiative forcing (ERF) from 1750 to 2019 by contributing forcing agents (carbon dioxide, other well-mixed greenhouse gases (WMGHGs), ozone, stratospheric water vapour, surface albedo, contrails and aviation-induced cirrus, aerosols, anthropogenic total, and solar). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nChange in effective radiative forcing (ERF) from 1750 to 2019 by the following contributing forcing agents:\r\n - Carbon dioxide\r\n - Other well-mixed greenhouse gases (WMGHGs)\r\n - Ozone\r\n - Stratospheric water vapour\r\n - Surface albedo\r\n - Contrails and aviation-induced cirrus\r\n - Aerosols\r\n - Anthropogenic total\r\n - Solar \r\n\r\nSolid bars represent best estimates, and very likely (5–95%) ranges are given by error bars. \r\nNon-CO2 WMGHGs are further broken down into contributions from methane (CH4), nitrous oxide (N2O) and halogenated compounds. \r\nSurface albedo is broken down into land-use changes and light-absorbing particles on snow and ice. \r\nAerosols are broken down into contributions from aerosol–cloud interactions (ERFaci) and aerosol–radiation interactions (ERFari). For aerosols and solar, the 2019 single-year values are given (Table 7.8), which differ from the headline assessments in both cases. Volcanic forcing is not shown due to the episodic nature of volcanic eruptions. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.6:\r\n \r\n - Data file: AR6_ERF_1750-2019.csv\r\n - Data file: AR6_ERF_1750-2019_pc05.csv\r\n - Data file: AR6_ERF_1750-2019_pc95.csv\r\n\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data for the bars in this figure correspond to the 2019 data in final line of the csv files provided.\r\n\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository, which is linked in the 'Related Documents' section. Within the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the Chapter 7 GitHub repository \r\n- Link to the notebook for plotting figure", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, forcing, anthropogenic, natural, greenhouse gases, aerosols, effective radiative forcing, ERF", "publicationState": "citable", "dataPublishedTime": "2023-05-15T15:12:55", "doiPublishedTime": "2023-07-06T15:35:49.930488", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38061/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/ch7_fig06/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 314172, "numberOfFiles": 6, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10459/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12634/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180596/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39584/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37819, "uuid": "d32090ff8fe342788191683eb4416411", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.4 (v20230517)", "abstract": "Input Data for Figure 7.4 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.4 shows radiative adjustments at top of atmosphere for seven different climate drivers as a proportion of forcing. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with input data provided. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Radiative adjustment for tropospheric temperature (orange)\r\n- Radiative adjustment for stratospheric temperature (yellow)\r\n- Radiative adjustment for water vapour (blue)\r\n- Radiative adjustment for surface albedo (green)\r\n- Radiative adjustment for clouds (grey)\r\n- Total adjustment (black) \r\n\r\nFor the greenhouse gases (carbon dioxide, methane, nitrous oxide and CFC-12) the adjustments are expressed as a percentage of stratospheric-temperature-adjusted radiative forcing (SARF), whereas for aerosol, solar and volcanic forcing they are expressed as a percentage of instantaneous radiative forcing (IRF). Land surface temperature response (outline red bar) is shown, but included in the definition of forcing. Data from Smith et al. (2018b) for carbon dioxide and methane; Smith et al. (2018b) and Gray et al. (2009) for solar; Hodnebrog et al. (2020b) for nitrous oxide and CFC-12; Smith et al. (2020b) for aerosol, and Marshall et al. (2020) for volcanic. \r\nIRFs come from offline calculations by Chris and Gunnar (for CAM4)\r\n\r\ntas_SW, ta_trop_SW, ta_strat_SW. alb_LW are always set to zero. Variables are included in netcdf anyways for consistency.\r\nWhen LW or SW IRFs is not available, The value is set to NaN in the netcdf.\r\nWhen the IRFs are NaN, the corresponding cloud adjustments are also set to NaN.\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nCanESM2 is the Canadian Earth System Model version 2.\r\nECHAM-HAM is the atmospheric General Circulation Model (GCM) from the MPI (Max Planck Institute for Meteorology) - Hamburg Aerosol Model.\r\nGISS-E2-R is the Goddard Institute for Space Studies coupled general circulation model (CGCM) - ocean configuration coupled to the Russell OGCM. \r\nHadGEM2 is the Met Offfice Hadley Centre Global Environment Model version 2.\r\nHadGEM3 is the Met Offfice Hadley Centre Global Environment Model version 3.\r\nIPSL-CM5A is the Institut Pierre-Simon Laplace Climate Model for CMIP5.\r\nMIROC-SPRINTARS is the Model for Interdisciplinary Research on Climate - Spectral Radiation-Transport Model for Aerosol Species.\r\nMPI-ESM is the Max Planck Institute Earth System Model.\r\nNCAR-CESM1-CAM4 is the National Center for Atmospheric Research - Community Earth System Model version 1 - Community Atmosphere Model version 4. \r\nNCAR-CESM1-CAM5 is the National Center for Atmospheric Research - Community Earth System Model version 1 - Community Atmosphere Model version 5. \r\nHadGEM2 is the Met Offfice Hadley Centre Global Environment Model version 2.\r\nGFDL is the Geophysical Fluid Dynamics Laboratory.\r\nBMRC is the Australian Bureau of Meteorology Research Centre.\r\nCCSM4 is the Community Climate System Model version 4.\r\nCESM is the Community Earth System Model.\r\nERF stands for Effective Radiative Forcing.\r\nIRF stands for Instantaneous Radiative Forcing. \r\nTAS stands for Temperature at Surface. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nThe CSV file used to plot Figure 7.4 is provided:\r\n\r\n- 'fig7.4.csv'\r\n\r\nThe github repository contains all input files to the plotting script for the figure except 'rcmip-concentrations-annual-means-v5-1-0.csv'. These are processed and combined in the code to create a single file 'fig7.4.csv' which is provided. The figure can be reproduced using just this file by running the notebook from box 22 by reading in the csv as variable 'adjustments_df'.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository linked in the Related Documents section. The github repository contains all input files to the notebook except 'rcmip-concentrations-annual-means-v5-1-0.csv'. These are processed and combined in the code to create a single file 'fig7.4.csv' which is provided. The figure can be reproduced using just this file by running the notebook from box 22 by reading in the csv as variable 'adjustments_df'.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the notebook for plotting the figure from the Chapter 7 GitHub repository which also contains input data files", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, forcing, adjustments, greenhouse gases, aerosols, solar, volcanic, radiative adjustment, tropospheric temperature, stratospheric temperature, water vapour, water vapor, surface albedo, clouds", "publicationState": "citable", "dataPublishedTime": "2023-05-17T09:46:45", "doiPublishedTime": "2023-07-06T09:46:47.856874", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38059/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig04/v20230517", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21705, "numberOfFiles": 4, "fileFormat": "CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12632/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195202/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39582/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37820, "uuid": "6842c53c516746ea860e11512dc133c2", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.3 (v20220721)", "abstract": "Input Data for Figure 7.3 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.3 shows anomalies in global mean all-sky top-of-atmosphere (TOA) fluxes from CERES-EBAF Ed4.0 and various CMIP6 climate models in terms of reflected solar, emitted thermal and net TOA fluxes. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 subpanels, with input data provided for panels a-c. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Anomalies in global mean all-sky top-of-atmosphere (TOA) fluxes from CERES-EBAF Ed4.0 in terms of reflected solar, emitted thermal and net TOA fluxes. \r\n- Anomalies in various CMIP6 climate models in terms of reflected solar, emitted thermal and net TOA fluxes. \r\n\r\n(a) Global mean solar flux anomaly.\r\n(b) Global mean thermal flux anomaly.\r\n(c) Global mean net flux anomaly.\r\n\r\nAnomalies in global mean all-sky top-of-atmosphere (TOA) fluxes from CERES-EBAF Ed4.0 are depicted as solid black lines.\r\nAnomalies in CMIP6 climate models are depicted as coloured lines.\r\nThe multi-model means are additionally depicted as solid red lines. \r\n\r\nModel fluxes stem from simulations driven with prescribed sea surface temperatures (SSTs) and all known anthropogenic and natural forcings. Shown are anomalies of 12-month running means. All flux anomalies are defined as positive downwards, consistent with the sign convention used throughout this chapter. The correlations between the multi-model means (solid red lines) and the CERES records (solid black lines) for 12-month running means are: 0.85 for the global mean reflected solar; 0.73 for outgoing thermal radiation; and 0.81 for net TOA radiation. Figure adapted from Loeb et al. (2020). \r\n\r\nThe models from which the input data are derived are the following:\r\n- CERES\r\n- CESM2\r\n- CanESM5\r\n- EC-Earth3\r\n- ECHAM\r\n- GFDL\r\n- HadGEM3\r\n- IPSL\r\n- multimodel\r\n- EC-Earth3-Veg\r\n- ECHAM6.3\r\n- GFDL-AM4\r\n- IPSL-CM6A\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCERES stands for Clouds and the Earth's Radiant Energy System.\r\nCERES-EBAF Ed4.0 is the Clouds and the Earth's Radiant Energy System - Energy Balanced and Filled data product version 4.\r\nCESM2 is the Community Earth System Model version 2.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nEC-Earth3 is the European Community Earth-system model version 3.\r\nECHAM is an atmospheric General Circulation Model (GCM) from the MPI (Max Planck Institute for Meteorology).\r\nGFDL is the Geophysical Fluid Dynamics Laboratory.\r\nHadGEM3 is the Met Offfice Hadley Centre Global Environment Model version 3.\r\nIPSL is the Institut Pierre-Simon Laplace. \r\nEC-Earth3-Veg is the European Community Earth-system model version 3, with the Global Circulation Model (GCM) coupled to the dynamic vegetation model.\r\nECHAM6.3 is version 6.2 of the atmospheric General Circulation Model (GCM) ECHAM from the MPI (Max Planck Institute for Meteorology).\r\nGFDL-AM4 is the Geophysical Fluid Dynamics Laboratory Atmosphere and Land Model version 4.\r\nIPSL-CM6A is the Institut Pierre-Simon Laplace Climate Model for CMIP6.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.3:\r\n\r\n - Data file: Global_Net_Anomaly_Timeseries_12monthMean.txt\r\n - Data file: Global_SW_Anomaly_Timeseries_12monthMean.txt\r\n - Data file: Global_LW_Anomaly_Timeseries_12monthMean.txt\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The input data provided is used in the notebook to output figure 7.3. To reproduce the figure from the input data, you will need to edit the path 'datadir' in box 3 of the notebook based on your local directory structure.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo\r\n- Link to the notebook for plotting the figure on the Chapter 7 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, energy budget, CERES, CMIP6, top-of-atmosphere fluxes, TOA, reflected solar flux, emitted thermal flux", "publicationState": "citable", "dataPublishedTime": "2023-05-15T15:34:13", "doiPublishedTime": "2023-07-05T09:02:32.809061", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38058/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig03/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 77658, "numberOfFiles": 6, "fileFormat": "txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10473/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12631/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180592/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39581/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37823, "uuid": "9ce84c3a242e4b999c24dc1647c89794", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.19 (v20220721)", "abstract": "Data for Figure 7.19 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.19 shows global mean temperature anomaly in models and observations from five time periods. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 5 subpanels, with data provided for panels a-e.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Global mean temperature anomaly in:\r\n(a) Historical (CMIP6 models); \r\n(b) post-1975 (CMIP6 models); \r\n(c) Last Glacial Maximum (LGM; Cross-Chapter Box 2.1; PMIP4 models; Kageyama et al., 2021; Zhu et al., 2021); \r\n(d) mid-Pliocene Warm Period (MPWP; Cross-Chapter Box 2.4; PlioMIP models; Haywood et al., 2020; Zhang et al., 2021); \r\n(e) Early Eocene Climatic Optimum (EECO; Cross-Chapter Box 2.1; DeepMIP models; Zhu et al., 2020; Lunt et al., 2021). \r\n\r\nGrey circles show models with ECS in the assessed very likely range; models in red have an ECS greater than the assessed very likely range (>5°C); models in blue have an ECS lower than the assessed very likely range (<2°C). Black ranges show the assessed temperature anomaly derived from observations (Section 2.3). The historical anomaly in models and observations is calculated as the difference between 2005–2014 and 1850–1900, and the post-1975 anomaly is calculated as the difference between 2005–2014 and 1975–1984. \r\n\r\nFor the LGM, MPWP and EECO, temperature anomalies are compared with pre-industrial (equivalent to CMIP6 simulation ‘piControl’). All model simulations of the MPWP and LGM were carried out with atmospheric CO2 concentrations of 400 and 190 ppm respectively. However, CO2 during the EECO is relatively more uncertain, and model simulations were carried out at either 1120ppm or 1680 ppm (except for the one high-ECS EECO simulation which was carried out at 840 ppm; Zhu et al., 2020). The one low-ECS EECO simulation was carried out at 1680 ppm. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nECS stands for Equilibrium Climate Sensitivity.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.19:\r\n \r\n - Data file: Figure7_19_mod.csv\r\n - Data file: Figure7_19_obs.csv\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data provided is the output data of the figure which can be used to reproduce the figure. Link to the plotting script for reproducing this figure 'ipcc_figure_7.19.ipynb' can be found in the Related Documents section of this catalogue record.\r\nThe original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for Chapter 7, archived on Zenodo\r\n- Link to scripts used to reproduce figure from data\r\n- Link to the Chapter 7 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, temperature, palaeoclimate, historical, global mean temperature", "publicationState": "citable", "dataPublishedTime": "2023-06-01T08:21:22", "doiPublishedTime": "2023-07-10T14:46:22.692247", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40120/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/ch7_fig19/v20230118", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9063, "numberOfFiles": 5, "fileFormat": "CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12642/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195476/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39593/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37824, "uuid": "f94821849dfb4ee2bd1a367a81a6b6f7", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.21 (v20220721)", "abstract": "Input Data for Figure 7.21 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.21 shows emissions metrics for two short-lived greenhouse gases: HFC-32 and methane (CH4; lifetimes of 5.4 and 11.8 years). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels, with data provided for panels a-d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Emissions metrics for HFC-32 and methane (CH4):\r\n(a) Temperature response to a step change in short-lived greenhouse gas emissions. \r\n(b) Temperature response to a pulse CO2 emission. \r\n(c) Conventional GTP metrics (pulse vs pulse). \r\n(d) Combined GTP metric (step versus pulse). \r\n\r\nThe temperature response function comes from Supplementary Material 7.SM.5.2. Values for non-CO2 species include the carbon cycle response (Section 7.6.1.3). Results for HFC-32 have been divided by 100 to show on the same scale. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nGTP stands for Global Temperature-change Potential.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.21:\r\n \r\n - Data file: cgtp.csv\r\n\r\nThe data in this files is identical to the original data in .npz format. Link to the orginal data in this format used with the code for reproducing the figure is provided in the 'Related Documents' section.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The link to the input .npz file provided is used in the notebook to output figure 7.21. To reproduce the figure from the input data, you will need to run the notebook from the same directory as the input data and adjust the path to the data in box 3.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the original data in .npz format used in the code\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the notebook on the Chapter 7 GitHub repository for plotting the figure", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, metrics, step, pulse, GTP, CGTP, HFC-32, CH4, methane", "publicationState": "citable", "dataPublishedTime": "2023-06-01T11:01:06", "doiPublishedTime": "2023-07-10T14:50:20.257961", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38065/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig21/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 58873, "numberOfFiles": 4, "fileFormat": "CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).\r\nData converted to CSV format for archival from original .npz format by CEDA Staff.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12643/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195204/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39595/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37826, "uuid": "47586c6f52a9473ea0b1f909fb231bfc", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for FAQ 7.3, Figure 1 (v20220721)", "abstract": "Input Data for FAQ 7.3 Figure 1, from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFAQ 7.3 Figure 1 shows equilibrium climate sensitivity and future warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with input data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (left) Equilibrium climate sensitivities for the current generation (CMIP6) climate models, and the previous (CMIP5) generation. The assessed range in this Report (AR6) is also shown. \r\n\r\n- (right) Climate projections of CMIP5, CMIP6 and AR6 for the very high-emissions scenarios RCP8.5, and SSP5-8.5, respectively. \r\n\r\nThe thick horizontal lines represent the multi-model average and the thin horizontal lines represent the results of individual models. The boxes represent the model ranges for CMIP5 and CMIP6 and the range assessed in AR6.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to FAQ 7.3 Figure 1.\r\n \r\n - Data file: ecs_for_faq.csv\r\n - Data file: tcr_for_faq.csv\r\n - Data files: CMIP5_means/dtas_\"+model+\".nc\r\n - Data files: CMIP5_means/tas_\"+model+\"_rcp85.nc\r\n - Data files: CMIP5_means/tas_\"+model+\"_piControl.nc\r\n - Data files: CMIP6_means/dtas_\"+model+\".nc\r\n - Data files: CMIP6_means/tas_\"+model+\"_ssp585.nc\r\n - Data files: CMIP6_means/tas_\"+model+\"_piControl.nc\r\n\r\nModels to be substituted in file names where +model+ exists:\r\n- ACCESS-CM2\r\n- ACCESS-ESM1-5\r\n- AWI-CM-1-1-MR\r\n- BCC-CSM2-MR\r\n- CAMS-CSM1-0\r\n- CESM2-WACCM\r\n- CESM2\r\n- CIESM\r\n- CMCC-CM2-SR5\r\n- CNRM-CM6-1-HR\r\n- CNRM-CM6-1\r\n- CNRM-ESM2-1\r\n- CanESM5\r\n- EC-Earth3-Veg\r\n- FGOALS-f3-L\r\n- FGOALS-g3\r\n- FIO-ESM-2-0\r\n- GISS-E2-1-G\r\n- HadGEM3-GC31-LL\r\n- HadGEM3-GC31-MM\r\n- IITM-ESM\r\n- INM-CM4-8\r\n- INM-CM5-0\r\n- IPSL-CM6A-LR\r\n- KACE-1-0-G\r\n- MCM-UA-1-0\r\n- MIROC-ES2L\r\n- MIROC6\r\n- MPI-ESM1-2-HR\r\n- MPI-ESM1-2-LR\r\n- MRI-ESM2-0\r\n- NESM3\r\n- NorESM2-LM\r\n- NorESM2-MM\r\n- TaiESM1\r\n- UKESM1-0-LL\r\nThis means the _ssp585.nc and _piControl.nc files have 36 versions each, for both CMIP5 and CMIP6 (a total of 144 netCDF files).\r\n\r\nThe above files are from the 'contributed' folder on the 'master' GitHub repository, rather than in data_input or data_output. \r\n\r\nCMIP5 is the fifth stage of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth stage of the Coupled Model Intercomparison Project.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nACCESS-CM2 is the Australian Community Climate and Earth System Simulator coupled climate model.\r\nACCESS-ESM1-5 is the Australian Community Climate and Earth System Simulator Earth system model version designed to participate in CMIP6 simulations.\r\nAWI-CM-1-1-MR is the Alfred Wegener Institute Climate Model version 1.1 - Medium Resolution, with locally-increased horizontal resolution over energetically active ocean areas.\r\nBCC-CSM2-MR is the Beijing Climate Center Climate System Model version 2 - moderate vertical resolution.\r\nCAMS-CSM1-0 is the Chinese Academy of Meteorological Sciences Climate System Model version 1.\r\nCESM2-WACCM is the Community System Model version 2- Whole Atmosphere Community Climate Model.\r\nCESM2 is the Community Earth System Model version 2.\r\nCIESM is the Community Integrated Earth System Model.\r\nCMCC-CM2-SR5 is the Euro-Mediterranean Centre on Climate Change Coupled Climate Model version 2 - standard configuration.\r\nCNRM-CM6-1-HR is the Centre National de Recherches Météorologiques Climate Model for CMIP6 - altered Horizontal Resolution.\r\nCNRM-CM6-1 is the Centre National de Recherches Météorologiques Climate Model for CMIP6.\r\nCNRM-ESM2-1 is the Centre National de Recherches Météorologiques Earth System Model, derived from CNRM-CM6-1.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nEC-Earth3-Veg is the European Community Earth-system model version 3, with the Global Circulation Model (GCM) coupled to the dynamic vegetation model.\r\nFGOALS-f3-L is the Flexible Global Ocean-Atmosphere-Land System Model, Finite-volume version 3, low horizontal resolution. \r\nFGOALS-g3 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 3.\r\nFIO-ESM-2-0 is the First Institute of Oceanography Earth System Model version 2.0.\r\nGISS-E2-1-G is the Goddard Institute for Space Studies - chemistry-climate model version E2.1, using the GISS Ocean v1 (G01) model.\r\nHadGEM3-GC31-LL is the Met Offfice Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N96/ORCA1.\r\nHadGEM3-GC31-MM is the Met Offfice Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N216/ORCA025.\r\nIITM-ESM is the Indian Institute of Tropical Meteorology Earth System Model.\r\nINM-CM4-8 is the Institute for Numerical Mathematics Climate Model version 4.8. \r\nINM-CM5-0 is the Institute for Numerical Mathematics Climate Model version 5.0. \r\nIPSL-CM6A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP6 - Low Resolution.\r\nKACE-1-0-G is the Korean Advanced Community Earth system model. \r\nMCM-UA-1-0 is the Manabe Climate Climate - University of Arizona - version 1.0. \r\nMIROC-ES2L is the Model for Interdisciplinary Research on Climate - Earth System version 2 for Long-term simulations.\r\nMIROC6 is the Model for Interdisciplinary Research on Climate version 6.\r\nMPI-ESM1-2-HR is the Max Planck Institute Earth System Model - version 2 - altered Horizontal Resolution.\r\nMPI-ESM1-2-LR is the Max Planck Institute Earth System Model - version 2 - Low Resolution.\r\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model version 2.0.\r\nNESM3 is the Nanjing University of Information Science and Technology Earth System Model version 3.\r\nNorESM2-LM is the Norwegian Earth System Model version 2 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-MM is the Norwegian Earth System Model version 2 - 1 degree resolution for all model components.\r\nTaiESM1 is theTaiwan Earth System Model version 1.\r\nUKESM1-0-LL is the The UK Earth System Model - version 1 - 2 degree resolution for all model components.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nThe notebook used to plot this figure is linked in the 'Related Documents' section. The output figure data is also archived at CEDA.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the Jupyter notebook for plotting this figure from the Chapter 7 GitHub repository\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ECS, CMIP6, CMIP5", "publicationState": "citable", "dataPublishedTime": "2023-06-01T11:04:48", "doiPublishedTime": "2023-07-10T15:03:22.110240", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38055/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_faq3_fig1/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8047857, "numberOfFiles": 231, "fileFormat": "XLSX, netCDF, txt" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12645/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180616/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39598/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37828, "uuid": "f0f622f4e9d14f95949a5cc44451e8bb", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.SM.1 (v20220721)", "abstract": "Data for Figure 7.SM.1 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.SM.1 shows total effective radiative forcing from SSP scenarios with respect to 1750 for 2000-2500, 14 showing best estimate and 5–95% uncertainty range. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 13 subpanels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Total effective radiative forcing from SSP scenarios with respect to 1750 for 2000-2500, 14 showing best estimate and 5–95% uncertainty range. \r\n- Graph (top panel) showing radiative forcing trajectories for (shaded regions):\r\n - SSP5-8.5 (brown line)\r\n - SSP3-7.0-lownNTCF (red dashed line)\r\n - SSP3-7.0 (red line)\r\n - SSP3-7.0-lowNTCFCH4 (red dotted line)\r\n - SSP4-6.0 (orange line)\r\n - SSP2-4.5 (yellow line)\r\n - SSP5-3.4-over (early overshoot of purple line)\r\n - SSP4-3.4 (light blue line)\r\n - SSP1-2.6 (purple line)\r\n - SSP1-1.9 (green line)\r\n- Radiative forcing component breakdowns (smaller subpanels):\r\n - CO2 (carbon dioxide)\r\n - CH4 (methane)\r\n - N2O (nitrous oxide)\r\n - Halogenated gases\r\n - O3 (ozone)\r\n - Strat H2O (stratospheric water)\r\n - Contrails and aviation induced cirrus\r\n - Aerosol-radiation interactions\r\n - Aerosol-cloud interactions\r\n - Light absorbing particles on snow and ice\r\n - Land use\r\n - Solar\r\n\r\nUncertainty ranges are not shown for SSP3-7.0-lowNTCF and SSP3-7.0-NTCFCH4 for visual clarity. Bottom matrix shows the best estimate ERF for each anthropogenic component, and solar (volcanic ERF is zero beyond 2024).\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP119 is the Shared Socioeconomic Pathway which represents the lowest scenario of radiative forcing and development scenarios, consistent with RCP1.9.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nNTCF stands for Near-Term Climate Forcer.\r\nERF stands for Effective Radiative Forcing.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.SM.1:\r\n\r\n - Data file: ERF_%_1750-2500.csv'\r\n - Data file: ERF_%_1750-2500_pc05.csv\r\n - Data file: ERF_%_1750-2500_pc95.csv\r\n - Data file: ERF_%_minorGHGs_1750-2500.csv\r\n\r\nEach % is substituted for one of the following scenarios:\r\nSSP119 - best estimate.\r\nSSP119 - 5th percentile.\r\nSSP119 - 95th percentile.\r\nSSP119 minor GHGs - best estimate.\r\n\r\nSSP126 - best estimate.\r\nSSP126 - 5th percentile.\r\nSSP126 - 95th percentile.\r\nSSP126 minor GHGs - best estimate. \r\n\r\nSSP245 - best estimate.\r\nSSP245 - 5th percentile.\r\nSSP245 - 95th percentile.\r\nSSP245 minor GHGs - best estimate.\r\n\r\nSSP334 - best estimate.\r\n\r\nSSP370 - best estimate.\r\nSSP370 - 5th percentile.\r\nSSP370 - 95th percentile.\r\nSSP370 minor GHGs - best estimate.\r\nSSP370 low NTCF - best estimate.\r\nSSP370 low NTCF - 5th percentile.\r\nSSP370 low NTCF - 95th percentile.\r\nSSP370 low NTCF minor GHGs - best estimate.\r\nSSP370 low NTCFCH4 - best estimate.\r\nSSP370 low NTCFCH4 - 5th percentile.\r\nSSP370 low NTCFCH4 - 95th percentile.\r\nSSP370 low NTCFCH4 minor GHGs - best estimate.\r\n\r\nSSP434 - best estimate.\r\nSSP434 - 5th percentile.\r\nSSP434 - 95th percentile.\r\nSSP434 minor GHGs - best estimate.\r\n\r\nSSP460 - best estimate.\r\nSSP460 - 5th percentile.\r\nSSP460 - 95th percentile.\r\nSSP460 minor GHGs - best estimate.\r\n\r\nSSP534 over - best estimate.\r\nSSP534 over - 5th percentile.\r\nSSP534 over - 95th percentile.\r\nSSP534 over minor GHGs - best estimate.\r\n\r\nSSP585 - best estimate.\r\nSSP585 - 5th percentile.\r\nSSP585 - 95th pecentile.\r\nSSP585 minor GHGs - best estimate.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nWithin the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the Jupyter notebook for plotting the figure from the Chapter 7 GitHub repository\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Chapter 7, Figure 7.SM.1, effective radiative forcing, ERF", "publicationState": "citable", "dataPublishedTime": "2023-06-01T11:14:26", "doiPublishedTime": "2023-07-10T15:06:54.951011", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38054/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/ch7_SM_1/v20220721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12241439, "numberOfFiles": 44, "fileFormat": "CSV, txt" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12646/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180615/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39599/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37832, "uuid": "45283390b97c4a27861d74b3d915b0bd", "title": "Monthly mean climate data from a transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 2015 to 2070", "abstract": "This dataset comprises monthly mean data from a global, transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 2015 to 2070. WACCM-X is a global atmosphere model covering altitudes from the surface up to ~500 km, i.e., including the troposphere, stratosphere, mesosphere and thermosphere. WACCM-X version 2.0 (Liu et al., 2018) was used, part of the Community Earth System Model (CESM) release 2.1.0 (http://www.cesm.ucar.edu/models/cesm2) made available by the National Center for Atmospheric Research. The model was run in free-running mode with a horizontal resolution of 1.9 degrees latitude and 2.5 degrees longitude (giving 96 latitude points and 144 longitude points) and 126 vertical levels. Further description of the model and simulation setup is provided by Cnossen (2022) and references therein. A large number of variables is included on standard monthly mean output files on the model grid, while selected variables are also offered interpolated to a constant height grid or vertically integrated in height (details below). Zonal mean and global mean output files are included as well.\r\n\r\nThe data are provided in NetCDF format and file names have the following structure: \r\n\r\nf.e210.FXHIST.f19_f19.h1a.cam.h0.[YYYY]-[MM][DFT].nc\r\n\r\nwhere [YYYY] gives the year with 4 digits, [MM] gives the month (2 digits) and [DFT] specifies the data file type. The following data file types are included:\r\n\r\n1)\tMonthly mean output on the full grid for the full set of variables; [DFT] = \r\n2)\tZonal mean monthly mean output for the full set of variables; [DFT] = _zm\t\r\n3)\tGlobal mean monthly mean output for the full set of variables; [DFT] = _gm\r\n4)\tHeight-interpolated/-integrated output on the full grid for selected variables; [DFT] = _ht\r\n\r\nA cos(latitude) weighting was used when calculating the global means.\r\n\r\nData were interpolated to a set of constant heights (61 levels in total) using the Z3GM variable (for variables output on midpoints, with 'lev' as the vertical coordinate) or the Z3GMI variable (for variables output on interfaces, with ilev as the vertical coordinate) stored on the original output files (type 1 above). Interpolation was done separately for each longitude, latitude and time. \r\n\r\nMass density (DEN [g/cm3]) was calculated from the M_dens, N2_vmr, O2, and O variables on the original data files before interpolation to constant height levels. \r\n\r\nThe Joule heating power QJ [W/m3] was calculated using \r\nQ_J = (sigma_P*B^2)*((u_i - U_n)^2 + (v_i-v_n)^2 + (w_i-w_n)^2) \r\nwith sigma_P = Pedersen conductivity[S], B = geomagnetic field strength [T], ui, vi, and wi = zonal, meridional, and vertical ion velocities [m/s] and un, vn, and wn = neutral wind velocities [m/s]. QJ was integrated vertically in height (using a 2.5 km height grid spacing rather than the 61 levels on output file type 4) to give the JHH variable on the type 4 data files. The QJOULE variable also given is the Joule heating rate [K/s] at each of the 61 height levels.\r\n\r\nAll data are provided as monthly mean files with one time record per file, giving 672 files for each data file type for the period 2015-2070 (56 years).\r\n\r\nReferences:\r\n\r\nCnossen, I. (2022), A realistic projection of climate change in the upper atmosphere into the 21st century, in preparation.\r\n\r\nLiu, H.-L., C.G. Bardeen, B.T. Foster, et al. (2018), Development and validation of the Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X 2.0), Journal of Advances in Modeling Earth Systems, 10(2), 381-402, doi:10.1002/2017ms001232.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2022-07-29T08:48:18", "doiPublishedTime": "2022-07-29T08:49:03", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37833/?format=api", "dataPath": "/badc/deposited2022/WACCM-X_2015-2070", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 436008541109, "numberOfFiles": 2691, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10446/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3573/?format=api", "nonGeographicFlag": false, "phenomena": [ 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50338/?format=api" ], "dataLineage": "The FOCAL OCO-2 XCO2 retrieval development, data processing and analysis has received co-funding from ESA’s Climate Change Initiative (CCI+) via project GHG-CCI+ (contract 4000126450/19/I-NB, https://climate.esa.int/en/projects/ghgs) EUMETSAT via the FOCAL-CO2M study (contract EUM/CO/19/4600002372/RL), the European Union via the Horizon 2020 (H2020) projects VERIFY (Grant Agreement No. 776810, http://verify.lsce.ipsl.fr) and CHE (Grant Agreement No. 776186, https://www.che-project.eu) and by the State and the University of Bremen.\r\n\r\nData were supplied to CEDA for archiving as part of the ESA CCI Open Data Portal.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12336/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180644/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33058/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2564/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37849, "uuid": "91c218d3a80f4c43ac665d0bdf0ed5e7", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.5 (v20220804)", "abstract": "Input Data for Figure 12.5 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.5 shows projected changes in selected climatic impact-driver indices for Africa.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Africa of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - Shoreline position change over Africa (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n - regional averages in Africa of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages in Africa of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nSAH, ARP, WAF, CAF, NEAF, SEAF, WSAF, ESAF, MDG, NEU, WCE and MED are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.5:\r\n\r\n Panel a:\r\n - Q100_map_panel_a_AFR_less_MED_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the data is from the AFR CORDEX domain, without the MED AR6 region\r\n - Q100_map_panel_a_MED_for_AFR_from_EUR_divdra.nc: same as previous file but for the MED AR6 region, taken from the EUR CORDEX domain\r\n\r\n Panel b:\r\n - CoastalRecession_AFRICA_RCP85_2100.json: pointwise values (color points on the map) for Africa of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\n Panel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\n Panel d:\r\n - globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nCORDEX is Coordinated Regional Downscaling Experiment from the WCRP. \r\nWCRP is the World Climate Research Programme. SSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script ch12_fig12.5_plotting_code_Q100_AFR.py (see data tables and code on Github) draws the rivers and uses a subroutine (dranetwrite) to identify the rivers to plot them individually with lines, using the data from the Q100_map_panel_a_AFR_less_MED_divdra.nc and Q100_map_panel_a_MED_for_AFR_from_EUR_divdra.nc netcdf files; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n For panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n- Link to the Chapter 12 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Africa, regional, river discharge, extreme, shoreline position, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-04-18T10:42:48", "doiPublishedTime": "2023-06-30T14:25:27.530077", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38042/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/inputdata_ch12_fig05/v20220804", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15964042, "numberOfFiles": 73, "fileFormat": "NetCDF, CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10450/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3576/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80034/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12538/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180658/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37851/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37852, "uuid": "537b22f0230448fdb9a4ec806ed54d84", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.7 (v20220804)", "abstract": "Input Data for Figure 12.7 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.7 shows projected changes in selected climatic impact-driver indices for Australasia.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Australasia of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - Shoreline position change over Australasia (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n - regional averages in Australasia of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages in Australasia of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nNAU, CAU, EAU, SAU and NZ are domains used in the model.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.7:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_AUS_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the AUS CORDEX domain\r\n\r\nPanel b:\r\n - CoastalRecession_Australasia_RCP85_2100.json: pointwise values (color points on the map) for Australasia of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nPanel d:\r\n - globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo.\r\n- Link to the Chapter 12 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Australasia, regional, river discharge, extreme, shoreline position, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-04-19T12:41:11", "doiPublishedTime": "2023-06-30T15:05:55.255984", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38044/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/inputdata_ch12_fig07/v20220804", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7341861, "numberOfFiles": 42, "fileFormat": "NetCDF, CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10451/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3577/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49807/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12540/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180670/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37854/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37855, "uuid": "7c2c37c3c5d14aac87377c7673e35a0b", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.9 (v20220804)", "abstract": "Input Data for Figure 12.9 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.9 shows projected changes in selected climatic impact-driver indices for Europe.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Europe of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - spatial field of changes of number of days per year with snow water equivalent over 100mm (SWE100) from EURO-CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n - the associated mask showing the areas with more than 80% of model agreement in the sign of change\r\n - regional averages in Europe of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages of number of days per year with snow water equivalent over 100mm (SWE100) in Europe for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and EURO-CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n The grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\nNEU, WCE and MED are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.9:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_EUR_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2014 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the EUR CORDEX domain\r\n\r\n Panel b:\r\n - SWE_panel_b_RCP85_mce_minus_baseline.nc: spatial field (colors) of changes of number of days per year with snow water equivalent over 100mm (SWE100) from EURO-CORDEX models for 2041-2060 relative to 1995-2014 for RCP8; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero\r\n - mask_80perc-agreement_SWE_panel_b_RCP85_mce_minus_baseline.nc: spatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: 1 where true, 0 where false\r\n \r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 or 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n \r\nPanel d:\r\n - CMIP5_EUR-11_snw_mask14_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in Europe for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2099) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n - EURO-CORDEX_SWE_mask14_AR6_regional_averages.json: same as previous file for the EURO-CORDEX multimodel ensemble\r\n - CMIP6_EUR-11_snw_mask14_AR6_regional_averages.json: same as previous file for CMIP6 (ssp126 instead of RCP2.6 and ssp585 instead of RCP8.5)\r\n\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\nSSP stands for Shared Socioeconomic Pathway. \r\n\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\n\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n\r\nRCP stands for Representative Concentration Pathway. \r\n\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Europe, regional, river discharge, extreme, snow water equivalent, CMIP6, CMIP5, EURO-CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-06-19T08:45:23", "doiPublishedTime": "2023-06-30T15:15:51.081909", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38046/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/inputdata_ch12_fig09/v20220804", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6793223, "numberOfFiles": 38, "fileFormat": "NetCDF, CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10452/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3578/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49809/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12542/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180682/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37857/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37858, "uuid": "b6a36a7fe12644bfa28bc4ec8bfcb028", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.10 (v20220804)", "abstract": "Input Data for Figure 12.10 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.10 shows projected changes in selected climatic impact-driver indices for North-America.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over North-America of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - spatial field of changes of number of days per year with snow water equivalent over 100mm (SWE100) from CORDEX-core models for 2041-2060 relative to 1995-2014 for RCP8.5; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n - the associated mask showing the areas with more than 80% of model agreement in the sign of change\r\n - regional averages in North-America of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX-core historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n The grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\nCAR, SCA, NWN, NEN, WNA, CNA, ENA and NCA are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.9:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_NAM_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2014 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the NAM CORDEX domain\r\n - Q100_map_panel_a_CAM_for_NAM_divdra.nc: same as above for the CAM CORDEX domain\r\n\r\n Panel b:\r\n - SWE_panel_b_RCP85_2041-2060_minus_1995-2014.nc: spatial field (colors) of changes of number of days per year with snow water equivalent over 100mm (SWE100) from CORDEX-core NAM-22 models for 2041-2060 relative to 1995-2014 for RCP8; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero\r\n - mask_80perc-agreement_SWE_panel_b_RCP85_2041-2060_minus_1995-2014.nc: spatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: 1 where true, 0 where false\r\n \r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2081-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nPanel d:\r\n- CMIP5_NORTH-AMERICA_snw_mask14_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2100) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars) - grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- CMIP6_NORTH-AMERICA_snw_mask14_AR6_regional_averages.json: same as previous file for CMIP6 (ssp126 instead of RCP2.6 and ssp585 instead of RCP8.5) - grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- NAM-22_CORDEX_NORTH-AMERICA_snw_mask14_AR6_regional_averages.json: same as previous file for the CORDEX-core NAM-22 multimodel ensemble - grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\n- NAM-22_CORDEX_NORTH-AMERICA_snw_mask30_AR6_regional_averages.json: same as previous file for the CORDEX-core NAM-22 multimodel ensemble, but grid points with less than 30 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- CMIP5_NORTH-AMERICA_snw_mask30_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2100) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars) - grid points with less than 30 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- CMIP6_NORTH-AMERICA_snw_mask30_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2100) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars) - grid points with less than 30 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\nSSP stands for Shared Socioeconomic Pathway. SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\n\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n\r\nRCP stands for Representative Concentration Pathway. \r\n\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 12 GitHub repository.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, North-America, regional, river discharge, extreme, snow water equivalent, CMIP6, CMIP5, EURO-CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-05-31T13:36:35", "doiPublishedTime": "2023-06-30T15:21:59.594839", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40119/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/inputdata_ch12_fig10/v20220804", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15117492, "numberOfFiles": 80, "fileFormat": "net-CDF, json, csv, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10453/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3579/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49808/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12543/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180694/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37860/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37861, "uuid": "d46d733725d64f45afc1e70054f2f51d", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.6 (v20220804)", "abstract": "Input Data for Figure 12.6 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.6 shows projected changes in selected climatic impact-driver indices for Asia.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Asia of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - Shoreline position change over Asia (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n - regional averages in Asia of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages in Asia of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nTIB, ECA, EAS, SEA, ARP and SAS are domains used in the model.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.6:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_EAS_for_ASIA_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the EAS CORDEX domain\r\n - Q100_map_panel_a_SEA_for_ASIA_divdra.nc: same as previous file for the regions from the SEA CORDEX domain\r\n - Q100_map_panel_a_WAS_for_ASIA_divdra.nc: same as previous file for the regions from the WAS CORDEX domain\r\n \r\nPanel b:\r\n - CoastalRecession_ASIA_RCP85_2100.json: pointwise values (color points on the map) for Asia of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n \r\nPanel d:\r\n - globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo.\r\n- Link to the Chapter 12 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Asia, regional, river discharge, extreme, shoreline position, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-04-19T12:38:49", "doiPublishedTime": "2023-06-30T14:39:04.744967", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38043/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/inputdata_ch12_fig06/v20220804", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20365611, "numberOfFiles": 104, "fileFormat": "NetCDF, CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10454/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3580/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80034/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12539/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180706/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37863/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37868, "uuid": "38e7a3f35ced465283debd6cac1cae50", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.6 (v20220808)", "abstract": "Data for Figure 12.SM.6 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.6 shows regional projections of extreme sea level (1-in-100 year return period extreme total water level). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 39 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the changes in mean wind speed in percentage of the recent past value (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.6\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in four json files (Vousdoukas et al 2018 dataset) and one csv file (Kiresci et al 2020:\r\n\r\n- Vousdoukas_ETWL_by_AR6_region_${scenario}_${horizon}.json: contains the regional averages (median and 5th/95th percentiles uncertainty range) for the Vousdoukas et al 2018 dataset for the horizon ${horizon} (2050 or 2100) and the scenario ${scenario} (RCP45 or RCP85)\r\n\r\n- Vousdoukas_ETWL_by_AR6_region_modern.json contains the regional averages for the recent past period (median and 5th/95th percentiles uncertainty range) for the Vousdoukas et al 2018 dataset \r\n\r\n- Kirezci_ESL.csv contains the regional averages of the Kirezci et al (2020) dataset for future horizons and recent past (median and 5th/95th percentiles uncertainty range)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Global, regional, AR6 regions, extreme total water level, sea level, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-05-11T13:02:59", "doiPublishedTime": "2023-06-30T16:30:18.386883", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38053/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_sm_06/v20220808", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 70789, "numberOfFiles": 9, "fileFormat": "csv, json" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10456/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12549/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180749/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40235/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37869, "uuid": "8418e1f0c9d64a758490a14daeb22574", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.5 (v20220808)", "abstract": "Data for Figure 12.SM.5 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.5 shows regional projections for changes in mean wind speed for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the changes in mean wind speed in percentage of the recent past value (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.5\r\n \r\nThe regional averages of the changes in mean wind speed in percentage of the recent past value for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_sfcWind_diff-perc-baseline_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_sfcWind_diff-perc-baseline_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_sfcWind_diff-perc-baseline_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Global, regional, AR6 regions, mean wind speed, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-05-11T12:58:13", "doiPublishedTime": "2023-06-30T16:13:24.112250", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38052/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_sm_05/v20220808", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 131854, "numberOfFiles": 6, "fileFormat": "json" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10413/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12548/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180761/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40030/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37871, "uuid": "8c58b12e8fd541428b1b25b0d572ce94", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.4 (v20220808)", "abstract": "Data for Figure 12.SM.4 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.4 shows regional projections for changes in soil moisture for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n This figure has 41 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nThis figure has 41 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.4\r\n \r\nThe regional averages of the changes in soil moisture in percentage of the recent past value for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_SM_diff_perc2020_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_SM_diff_perc2020_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_SM_diff_perc2020_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Global, regional, AR6 regions, soil moisture, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-06-19T10:01:37", "doiPublishedTime": "2023-06-30T16:07:01.562979", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38051/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_sm_04/v20220808", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 127417, "numberOfFiles": 6, "fileFormat": "CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10413/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12547/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180771/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40179/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37872, "uuid": "e8975cc3195b487d9ec482cb8ef5f07d", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.3 (v20220808)", "abstract": "Data for Figure 12.SM.3 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.3 shows regional projections for the number of negative precipitation anomaly events per decade using the 6-month Standardised Precipitation Index for different scenarios, time horizons and global warming levels.. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the number of negative precipitation anomaly events per decade (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.3\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_DF6_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_DF6_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_DF6_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Global, regional, AR6 regions, negative precipitation anomaly, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-06-19T09:51:13", "doiPublishedTime": "2023-06-30T16:01:10.878175", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38050/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_sm_03/v20220808", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 145672, "numberOfFiles": 6, "fileFormat": "json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10413/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12546/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180782/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40178/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37873, "uuid": "660a0224eee04d0880b78f538510f416", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.2 (v20220808)", "abstract": "Data for Figure 12.SM.2 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.2 shows regional projections for the number of days per year with NOAA Heat Index exceeding 41°C for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the number of days per year with NOAA Heat Index exceeding 41°C (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.2\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_HI41_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_HI41_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_HI41_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n NOAA is the National Oceanic and Atmospheric Administration.\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, NOAA Heat Index, 41°C, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-06-19T09:11:32", "doiPublishedTime": "2023-06-30T15:46:55.092099", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38049/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_sm_02/v20220808", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 139570, "numberOfFiles": 6, "fileFormat": "json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10413/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12545/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180791/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40025/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37875, "uuid": "156e4a10ddfb418aa24aadf244fbadf6", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.1 (v20220808)", "abstract": "Data for Figure 12.SM.1 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.1 shows regional projections for the number of days per year with maximum temperature exceeding 35°C for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the number of days per year with maximum daily temperature exceeding 35°C (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.1:\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_tx35isimip_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_tx35isimip_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_tx35isimip_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Global, regional, AR6 regions, tx35, extreme, temperature, number of days with maximum temperature above 35°C, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-05-10T16:02:38", "doiPublishedTime": "2023-06-30T15:34:41.242003", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38048/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_sm_01/v20220808", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 146406, "numberOfFiles": 6, "fileFormat": "CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10413/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12544/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180800/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40023/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37886, "uuid": "288d2cfa740f4e60a369b5778064bd5a", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.22 (v20220815)", "abstract": "Data for Figure 6.22 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.22 shows time evolution of the effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs). \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Effects of net aerosols, methane, tropospheric ozone and hydrofluorocarbons (HFCs; with lifetimes <50years), and the sum of these, relative to the year 2019 and to the year 1750. \r\n\r\nThe GSAT changes are based on the assessed historic and future evolution of effective radiative forcing (ERF; Section 7.3.5). The temperature responses to the ERFs are calculated with an impulse response function with an equilibrium climate sensitivity of 3.0°C for a doubling of atmospheric CO2 (feedback parameter of –1.31 W m–2 °C–1, see Cross-Chapter Box 7.1). The vertical bars to the right in each panel show the uncertainties (5–95% ranges) for the GSAT change between 2019 and 2100. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.22:\r\n \r\n - Data file: fig_timeseries_dT_p95-p50_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_Sum_SLCF_Aerosols_Methane_Ozone_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_aerosol-total-with_bc-snow_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_ch4_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_o3_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_Sum_SLCF_Aerosols_Methane_Ozone_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_aerosol-total-with_bc-snow_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_ch4_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_o3_2019-2100_refyear2019.csv\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n- Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, scenario warming, short-lived climate forcers, aerosol, methane, ozone, HFCs", "publicationState": "citable", "dataPublishedTime": "2023-01-24T16:38:41", "doiPublishedTime": "2023-03-22T10:58:32.566124", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38037/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/ch6_fig22/v20220815", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 216577, "numberOfFiles": 13, "fileFormat": "Data are csv formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10458/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49840/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12427/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32721/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180950/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39578/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37887, "uuid": "8855e410adf547b4afd039a5b88487f4", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.12 (v20220815)", "abstract": "Data for Figure 6.12 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.12 shows contribution to effective radiative forcing (ERF) and global mean surface air temperature (GSAT) change from component emissions between 1750 to 2019 based on CMIP6 models. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Contribution to effective radiative forcing (ERF) (a) and global mean surface air temperature (GSAT) change (b) from component emissions between 1750 to 2019 based on CMIP6 models\r\n\r\nERFs for the direct effect of well-mixed greenhouse gases (WMGHGs) are from the analytical formulae in section 7.3.2, H2O (strat) is from Table 7.8. ERFs for other components are multi-model means from Thornhill et al. (2021b) and are based on ESM simulations in which emissions of one species at a time are increased from 1850 to 2014 levels. The derived emissions-based ERFs are rescaled to match the concentration-based ERFs in Figure 7.6.\r\n\r\nError bars are 5–95% and for the ERF account for uncertainty in radiative efficiencies and multi-model error in the means. ERFs due to aerosol–radiation (ERFari) and cloud effects are calculated from separate radiation calls for clear-sky and aerosol-free conditions (Ghan, 2013; Thornhill et al., 2021b). \r\n\r\n‘Cloud’ includes cloud adjustments (semi-direct effect) and ERF from indirect aerosol-cloud to –0.22 W m–2 for ERFari and –0.84 W m–2 interactions (ERFaci). The aerosol components (SO2, organic carbon and black carbon) are scaled to sum to –0.22 W m–2 for ERFari and –0.84 W m–2 for ‘cloud’ (Section 7.3.3). \r\n\r\nFor GSAT estimates, time series (1750–2019) for the ERFs have been estimated by scaling with concentrations for WMGHGs and with historical emissions for SLCFs. The time variation of ERFaci for aerosols is from Chapter 7. The global mean temperature response is calculated from the ERF time series using an impulse response function (Cross-Chapter Box 7.1) with a climate feedback parameter of –1.31 W m–2 °C–1. \r\n\r\nContributions to ERF and GSAT change from contrails and light-absorbing particles on snow and ice are not represented, but their estimates can be seen on Figure 7.6 and 7.7, respectively. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.12:\r\n \r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF.csv\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF_uncertainty.csv\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT.csv\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT_uncertainty.csv\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interactions.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interactions. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n- Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, historical effective radiative forcing, attributed historical warming", "publicationState": "citable", "dataPublishedTime": "2023-01-24T16:37:46", "doiPublishedTime": "2023-03-22T10:36:33.811580", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38035/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/ch6_fig12/v20220815", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13255, "numberOfFiles": 7, "fileFormat": "Data are csv 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49829/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12424/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32721/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180948/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39577/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37888, "uuid": "ca4127fb1be14ea68fefd5643fe3677f", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.24 (v20220815)", "abstract": "Data for Figure 6.24 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.24 shows effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Effects of net aerosols, methane, tropospheric ozone and hydrofluorocarbons (HFCs; with lifetimes <50years) compared with those of total anthropogenic forcing for 2040 and 2100 relative to the year 2019. \r\n\r\nThe GSAT changes are based on the assessed historic and future evolution of effective radiative forcing (ERF; Section 7.3.5). The temperature responses to the ERFs are calculated with an impulse response function with an equilibrium climate sensitivity of 3.0°C for a doubling of atmospheric CO2 (feedback parameter of –1.31 W m–2 °C–1; Cross-Chapter Box 7.1). Uncertainties are 5–95% ranges. The scenario total (grey bar) includes all anthropogenic forcings (long- and short-lived climate forcers, and land-use changes) whereas the white diamonds and bars show the net effects of SLCFs and HFCs and their uncertainties. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.24:\r\n \r\n - Data file: fig_dT_2040_2100_stacked_bar_5th-50th__2020-2040_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_5th-50th__2020-2100_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_95th-50th__2020-2040_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_95th-50th__2020-2100_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_mean__2019-2040_refyear2019.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_mean__2019-2100_refyear2019.csv\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n- Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, scenario warming, short versus long term warming, short-lived climate forcers, aerosol, methane, ozone, HFCs", "publicationState": "citable", "dataPublishedTime": "2023-01-24T16:42:48", "doiPublishedTime": "2023-03-22T11:02:24.708472", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38038/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/ch6_fig24/v20220815", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13863, "numberOfFiles": 9, "fileFormat": "Data are csv formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10458/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49846/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12429/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32721/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180952/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39579/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37889, "uuid": "b96e2225918348e1ae47b1fedee881a6", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.4 (v20220623)", "abstract": "Data for Figure 12.4 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.4 shows median projected changes in selected climatic impact-driver indices based on CMIP6 models for ssp126 and ssp585 scenarios, and RCP4.5 and RCP8.5 scenarios (for extreme total water level), for mid-term and long-term (relative to recent past).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 18 panels (panel a to panel r), with data provided for all panels in the 12.4 figure directory; for each panel, the panel name is indicated in the file name with panel_X (with X being panel letter between a and r).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains median projected changes in selected climatic impact-driver indices based on CMIP6 models for ssp126 and ssp585 scenarios for mid-term (2041-2060) and long-term (2081-2100), relative to recent past (1995-2014), and their associated masks of model agreement (with values -1 where at least 80% of the models agree in the sign of change, 0 elsewhere) for:\r\n \r\n - the mean number of days per year with maximum temperature exceeding 35°C\r\n - the mean number of days per year with NOAA Heat Index over 41°C\r\n - the number of negative precipitation anomaly events per decade using the 6-month Standardised Precipitation Index\r\n - the mean soil moisture\r\n - the mean surface wind speed\r\n \r\n It also contains the files of global projected median extreme total water level for CMIP5 RCP4.5 and RCP8.5 scenarios covering both mid-term (2041-2060) and long-term (2081-2100) horizons, and one for the recent past. The data is organized as points with their associated lon/lat coordinates.\r\n\r\nNOAA stands for the US National Oceanic and Atmospheric Administration.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nPlease note the following filenames have been changed to ensure continuity with filenames on GitHub repository:\r\npanel p (ETWL):\r\n- panel_p_globalTWL_RCP45.nc -> globalTWL_RCP45.nc\r\n- panel_p_q_r_globalTWL_baseline.nc -> globalTWL_baseline.nc\r\npanel q (ETWL):\r\n- panel_q_globalTWL_RCP45.nc -> globalTWL_RCP85.nc\r\n- panel_p_q_r_globalTWL_baseline.nc -> globalTWL_baseline.nc\r\npanel r (ETWL):\r\n- panel_r_globalTWL_RCP45.nc -> globalTWL_RCP85.nc\r\n- panel_p_q_r_globalTWL_baseline.nc -> globalTWL_baseline.nc\r\n\r\nData provided in relation to Figure 12.4:\r\n\r\nPanels a-c (tx35) where X is replaced with a,b or c:\r\n- 'tx35_panel_X_ssp126_2081-2100_minus_baseline.nc' :\r\nglobal spatial field of changes in mean number of days per year with maximum temperature exceeding 35°C for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_tx35_panel_X_ssp126_2081-2100_minus_baseline.nc' : \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanels d-f (HI41) where X is replaced with d,e or f:\r\n- 'HI41_panel_X_ssp126_2081-2100_minus_baseline.nc' :\r\nglobal spatial field of changes in mean number of days per year with NOAA Heat Index over 41°C for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_HI41_panel_X_ssp126_2081-2100_minus_baseline.nc' : \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanel g-i (DF6) where X is replaced with g, h or i:\r\n- 'DF6_panel_X_ssp126_farch_minus_baseline.nc' : \r\nglobal spatial field of changes in number of negative precipitation anomaly events per decade using the 6-month Standardised Precipitation Index for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_DF6_panel_X_ssp126_farch_minus_baseline.nc' : \r\nspatial mask (for hatching) showing where at least :80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanel j-l (SM) where X is replaced with j, k or l:\r\n- 'SM_panel_X_ssp126_2081-2100_minus_baseline.nc' : \r\nglobal spatial field of changes in mean soil moisture for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_SM_panel_X_ssp126_2081-2100_minus_baseline.nc': \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\n\r\nPanels m-o (sfcWind) where X is replaced with m, n or o:\r\n- 'sfcWind_panel_X_ssp126_2081-2100_minus_baseline.nc': \r\nglobal spatial field of changes in mean surface wind speed for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_sfcWind_panel_X_ssp126_2081-2100_minus_baseline.nc': \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanel p (ETWL):\r\n- globalTWL_RCP45.nc; global spatial field of median extreme sea level for CMIP5 RCP4.5, long-term (colors); long-term corresponds to decades=2100 in the file\r\n\r\nPanels q and r (ETWL):\r\n- globalTWL_RCP85.nc; global spatial field of median extreme sea level for RCP8.5, mid-term and long-term (colors)\r\n\r\nPanels p, q and r (ETWL):\r\n- globalTWL_baseline.nc; global spatial field of median extreme sea level for baseline\r\n\r\nFor panels p, q and r:\r\n- the data shown on the plot is the difference between the future projections (globalTWL_RCP45.nc and globalTWL_RCP85.nc) and the baseline (globalTWL_baseline.nc)\r\n- the variable used is TWL; it is three dimensional: npoints, npercentiles (value given by variable percentile(npercentiles)), nsdec (value given by variable decades(nsdec))\r\n- we use percentile=50\r\n- mid-term corresponds to decades=2050\r\n- long-term corresponds to decades=2100\r\n- the baseline file has no time (decades) dimension\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure\r\n---------------------------------------------------\r\nScripts for plotting figure panels can be found in the dedicated Chapter 12 GitHub repository which is linked in the Related Documents section of this catalogue record. Code used for the figure is archived on Zenodo.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 12 GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, temperature, extreme, heat, tx35, CMIP6, ssp126, ssp585, long term, mid term, HI41, SM, soil moisture, DF6, drought frequency, sfcWind, surface wind speed, extreme total water level, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-04-18T10:26:12", "doiPublishedTime": "2023-06-30T14:10:55.691844", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37890/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/ch12_fig04/v20220623", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 49171533, "numberOfFiles": 36, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10457/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3591/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63904/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12537/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180892/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37891/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37892, "uuid": "568fb4b2e6464a50a30c7140bb88a497", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box 7.2, Figure 1. (v20220817)", "abstract": "Input Data for Box 7.2, Figure 1 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox 7.2, Figure 1 shows estimates of the net cumulative energy change (ZJ = 1021 Joules) for the period 1971–2018 associated with: (a) observations of changes in the Global Energy Inventory (b) Integrated Radiative Forcing; (c) Integrated Radiative Response. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with input data provided for panels a-f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Estimates of the net cumulative energy change (ZJ = 1021 Joules) for the period 1971–2018 associated with: \r\n(a) observations of changes in the Global Energy Inventory \r\n(b) Integrated Radiative Forcing; \r\n(c) Integrated Radiative Response.\r\n\r\nBlack dotted lines indicate the central estimate with likely and very likely ranges as indicated in the legend. The grey dotted lines indicate the energy change associated with an estimated pre-industrial Earth energy imbalance of 0.2 W m–2 (a), and an illustration of an assumed pattern effect of –0.5 W m–2 °C–1 (c). \r\n\r\nBackground grey lines indicate equivalent heating rates in W m–2 per unit area of Earth’s surface. \r\nPanels (d) and (e) show the breakdown of components, as indicated in the legend, for the global energy inventory and integrated radiative forcing, respectively. Panel (f) shows the global energy budget assessed for the period 1971–2018, that is, the consistency between the change in the global energy inventory relative to pre-industrial and the implied energy change from integrated radiative forcing plus integrated radiative response under a number of different assumptions, as indicated in the legend, including assumptions of correlated and uncorrelated uncertainties in forcing plus response. \r\n\r\nShading represents the very likely range for observed energy change relative to pre-industrial levels and likely range for all other quantities. \r\nForcing and response time series are expressed relative to a baseline period of 1850–1900. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box 7.2, Figure 1:\r\n \r\n - Data file: AR6_ERF_1750-2019.csv\r\n - Data file: AR6_energy_GMSL_timeseries_FGD_1971to2018_IMBIEupdate.csv\r\n - Data file: AR6_energy_GMSL_timeseries_FGD_1971to2018_corrigendum.csv\r\n - Data file: Box7.2_ERF_ZJ_percentiles_FGD_1971to2018.csv\r\n - Data file: Box7.2_Response_ZJ_percentiles_FGD_1971to2018.csv\r\n - Data file: Box7.2_ERFResp_uncorrelated_ZJ_percentiles_FGD_1971to2018.csv\r\n - Data file: Box7.2_ERFResp_correlated_ZJ_percentiles_FGD_1971to2018.csv\r\n\r\nData files are converted to csv from pickle format for archival. A link to the original files on GitHub is provided in the 'Related Documents' section.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nThe data provided here is converted from pickle files which are used in the plotting script. The link to the original pickle files on GitHub is provided. To reproduce the figure from the input data provided, you will need to edit the filepaths within the notebook based on your local directory structure.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the notebook to plot the figure on the Chapter 7 GitHub repository\r\n - Link to the original pickle files on GitHub\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to Cross-Chapter Box 9.1, Figure 1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ocean heat content, energy budget, ocean, cryosphere, land, net cumulative energy change, radiative forcing, radiative response", "publicationState": "citable", "dataPublishedTime": "2023-06-07T09:38:05", "doiPublishedTime": "2023-07-10T15:14:20.512246", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38057/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_BOX2_fig1/v20220817", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 190006, "numberOfFiles": 10, "fileFormat": "CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10474/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).\r\nData converted to CSV from pickle format for archival by CEDA staff.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12647/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195481/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39600/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37893, "uuid": "923b94820acd42a1888eaae24de328f8", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS4, Figure 1 (v20220817)", "abstract": "Data for Box TS4 from Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox TS4, Figure 1 shows global mean sea level change on different time scales and under different scenarios.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nWhen citing the SSP-based sea-level projections, please also include the following citation:\r\nGarner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. https://doi.org/10.5281/zenodo.5914710.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has three panels. Panel a shows global mean sea level (GMSL) change from 1900 to 2150, observed (1900–2018) and projected under the Shared Socioeconomic Pathway (SSP) scenarios (2000–2150). Panel b shows GMSL change on 100-, 2,000-, and 10,000-year time scales as a function of global surface temperature. Panel c shows timing of exceedance of different GMSL thresholds under different SSPs. \r\n\r\nFinal data is only available for panel c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nGlobal mean sea level change time-series from 1901-2150 for:\r\n- Observed global mean sea level change (1901-2018).\r\n- Projected global mean sea level change (2005-2150).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box TS4, Figure 1:\r\n\r\nSSP-based global mean sea level projections are archived as\r\n\r\nGarner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., Nowicki, S., Palmer, M. D., Smith, C., Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout, S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Krinner, G., Mix, A., … Pearson, B. (2021). IPCC AR6 Sea Level Projections (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914710\r\n\r\nPanel c:\r\n\r\n- FigTS4-1c-milestone_ssp119_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n\r\nSee sections 9.6.3.2 and 9.6.3.3 for detailed information on the SSP-based global mean sea level projections and their production.\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanel c data were plotted using standard open-source R software - code is available via the link in the documentation.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Technical Summary)\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level", "publicationState": "citable", "dataPublishedTime": "2023-06-06T14:12:45", "doiPublishedTime": "2023-08-02T12:56:38.612730", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38007/?format=api", "dataPath": "/badc/ar6_wg1/data/TS/BOX_ts4_fig1/v20220817", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11599, "numberOfFiles": 8, "fileFormat": "NetCDF, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10464/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63010/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12666/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39213/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193607/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40142/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37894, "uuid": "2727525bf80c4798b7319116a0c15353", "title": "Coral larval dispersal simulations for the southwestern Indian Ocean (1993-2020)", "abstract": "This dataset, contributing towards the Marine dispersal and retention in the western Indian Ocean project, contains raw coral larval connectivity data computed by the SECoW (Simulating Ecosystem Connectivity with WINDS) dispersal model. 1024 virtual coral larvae are generated every day from 1993-2020 at c. 8000 coral reef sites across the southwestern Indian Ocean, and advected for 120 days following surface-currents from the 1/50° WINDS-M simulation (http://dx.doi.org/10.5285/BF6F0CFBD09E47498572F21081376702) using OceanParcels. 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The simulations were funded through PhD project NE/S007474/1, Marine dispersal and retention in the western Indian Ocean, held by Noam Vogt-Vincent who was supervised by Helen Johnson, both at University of Oxford. The outputs are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. 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Through postprocessing, debris ‘connectivity’ matrices can be computed, providing predictions for the main terrestrial and marine source regions of plastic debris accumulating at remote islands in the western Indian Ocean. These simulations include beaching and sinking processes, and a set of example matrices is provided here (https://doi.org/10.5287/bodleian:DEdqwXZQw) However, these matrices can be recomputed for different sinking and beaching rates using the scripts archived here (https://doi.org/10.5281/zenodo.7351695) or see here (https://github.com/nvogtvincent/WIO_Marine_Debris/) for the live version with documentation. These predictions will be useful for environmental practitioners in the western Indian Ocean to assess source regions for marine debris accumulating at islands of interest, and when this debris is likely to beach. The data were produced as part of the Marine Dispersal and Retention in the Western Indian Ocean project funded by the Natural Environment Research Council (NERC) grant NE/S007474/1. See linked online references on this record for cited items given above.", "keywords": "Indian Ocean, Plastic, Pollution, Marine debris, Seychelles, Fisheries, ALDFG, Lagrangian, Monsoon, Model", "publicationState": "citable", "dataPublishedTime": "2022-12-13T16:01:29", "doiPublishedTime": "2022-12-13T16:15:35", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37900/?format=api", "dataPath": "/bodc/UOX220126/WIO_marine_debris_accumulation", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1039187221309, "numberOfFiles": 12001, "fileFormat": "Data are CF-Compliant NetCDF formatted data files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10462/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3594/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63970/?format=api" ], "dataLineage": "This dataset consists of modelled large scale dispersal experiments across the southwestern Indian Ocean. The simulations were funded through PhD project NE/S007474/1, Marine dispersal and retention in the western Indian Ocean, held by Noam Vogt-Vincent who was supervised by Helen Johnson, both at University of Oxford. The outputs are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12313/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37624/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180934/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37896/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 37901, "uuid": "df7d665d7b7c4cadbd08558ea2e103c8", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box TS4, Figure 1 (v20220817)", "abstract": "Input Data for Box TS4 from Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox TS4, Figure 1 shows global mean sea level change on different time scales and under different scenarios.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nWhen citing the SSP-based sea-level projections, please also include the following citation:\r\nGarner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. https://doi.org/10.5281/zenodo.5914710.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has three panels. Panel a shows global mean sea level (GMSL) change from 1900 to 2150, observed (1900–2018) and projected under the Shared Socioeconomic Pathway (SSP) scenarios (2000–2150). Panel b shows GMSL change on 100-, 2,000-, and 10,000-year time scales as a function of global surface temperature. Panel c shows timing of exceedance of different GMSL thresholds under different SSPs. \r\n\r\nInput data is only available for panel a and c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nGlobal mean sea level change time-series from 1901-2150 for:\r\n- Observed global mean sea level change (1901-2018).\r\n- Projected global mean sea level change (2005-2150).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box TS4, Figure 1:\r\n\r\nSSP-based global mean sea level projections are archived as\r\n\r\nGarner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., Nowicki, S., Palmer, M. D., Smith, C., Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout, S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Krinner, G., Mix, A., … Pearson, B. (2021). IPCC AR6 Sea Level Projections (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914710\r\n\r\nPanel a:\r\n\r\nConsensus observational GMSL curve: gmsl_altimeter+TG_ensemble_28012021.mat\r\nThis file is not provided but a link to the Chapter 9 GitHub repository which contains this file is provided.\r\n\r\nSSP-based GMSL projections through 2100, medium confidence:\r\n- pbox1e_total_ssp119_globalsl_figuredata.nc\r\n- pbox1e_total_ssp126_globalsl_figuredata.nc\r\n- pbox1e_total_ssp245_globalsl_figuredata.nc\r\n- pbox1e_total_ssp370_globalsl_figuredata.nc\r\n- pbox1e_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections after 2100, medium confidence:\r\n- pbox1f_total_ssp119_globalsl_figuredata.nc\r\n- pbox1f_total_ssp126_globalsl_figuredata.nc\r\n- pbox1f_total_ssp245_globalsl_figuredata.nc\r\n- pbox1f_total_ssp370_globalsl_figuredata.nc\r\n- pbox1f_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections through 2100, low confidence:\r\n- pbox2e_total_ssp126_globalsl_figuredata.nc\r\n- pbox2e_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections after 2100, low confidence:\r\n- pbox2f_total_ssp126_globalsl_figuredata.nc\r\n- pbox2f_total_ssp245_globalsl_figuredata.nc\r\n- pbox2f_total_ssp585_globalsl_figuredata.nc\r\n\r\nPanel c:\r\n\r\nThreshold exceedance timing under different SSPs, medium confidence, with parametric emulator for Antarctic ice sheet:\r\n- wf_1f_ssp119_milestone_figuredata.nc\r\n- wf_1f_ssp126_milestone_figuredata.nc\r\n- wf_1f_ssp245_milestone_figuredata.nc\r\n- wf_1f_ssp370_milestone_figuredata.nc\r\n- wf_1f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, medium confidence, with LARMIP-2 emulator for Antarctic ice sheet:\r\n- wf_2f_ssp119_milestone_figuredata.nc\r\n- wf_2f_ssp126_milestone_figuredata.nc\r\n- wf_2f_ssp245_milestone_figuredata.nc\r\n- wf_2f_ssp370_milestone_figuredata.nc\r\n- wf_2f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, low confidence, with DeConto et al. 2021-based Antarctic ice sheet projections incorporating Marine Ice Cliff Instability:\r\n- wf_3f_ssp126_milestone_figuredata.nc\r\n- wf_3f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, low confidence, with Bamber et al. 2019-based structured expert judgement ice sheet projections:\r\n- wf_4_ssp126_milestone_figuredata.nc\r\n- wf_4_ssp585_milestone_figuredata.nc\r\n\r\nSee sections 9.6.3.2 and 9.6.3.3 for detailed information on the SSP-based global mean sea level projections and their production.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanel a data were plotted using standard matplotlib software and a Linux shell script, - code is available via the link in the documentation. The code requires the input data provided here and the additional gmsl_altimeter+TG_ensemble_28012021.mat file from Figure 9.27. The link to this file from the Chapter 9 GitHub is provided. \r\n\r\nPanel c data were plotted using standard open-source R software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Technical Summary)\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report, archived on Zenodo.\r\n - Link to figure data in matlab format on github", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level", "publicationState": "citable", "dataPublishedTime": 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"Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.8 (v20220804)", "abstract": "Input Data for Figure 12.8 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.8 shows projected changes in selected climatic impact-driver indices for Central and South America.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over South-America and Central-America of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n\r\n- Shoreline position change over South-America (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\n- regional averages in South-America and Central-America of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n- regional averages in South-America and Central-America of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nNWS, NSA, SAM, NES, SWS, SES, SSA, CAR and SCA are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.8:\r\n\r\nPanel a:\r\n\r\n- Q100_map_panel_a_SAM_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the SAM CORDEX domain\r\n\r\n- Q100_map_panel_a_CAM_for_SAM_divdra.nc: same as previous file for the regions from the CAM CORDEX domain\r\n\r\nPanel b:\r\n\r\n- CoastalRecession_SOUTH-AMERICA_RCP85_2100.json: pointwise values (color points on the map) for South-America and Central-America of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\nPanel c:\r\n\r\n- txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2081-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\n- txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nPanel d:\r\n\r\n- globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nCORDEX is Coordinated Regional Downscaling Experiment from the WCRP. \r\nWCRP is the World Climate Research Programme. SSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nFor panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 12GitHub repository", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, South-America, Central-America, regional, river discharge, extreme, shoreline position, CMIP6, CMIP5, CORDEX, global warming levels, GWL, +1.5°C, +2°C, +4°C, ssp126, ssp585, recent past, mid-term, long-term, 1995-2014, 2041-2060, 2081-2100, RCP4.5, RCP8.5", "publicationState": "citable", "dataPublishedTime": "2023-04-19T12:57:15", "doiPublishedTime": "2023-06-30T15:11:27.971731", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38045/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_12/inputdata_ch12_fig08/v20220804", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10729091, "numberOfFiles": 73, "fileFormat": "NetCDF, CSV, json, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10413/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3596/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80034/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12541/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32728/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180967/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39939/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 37906, "uuid": "3069833ab06a4968a90fa9f649b87ed7", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.7 (v20220721)", "abstract": "Input Data for Figure 7.7 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.7 shows the contribution of forcing agents to 2019 temperature change relative to 1750 produced using the two-layer emulator (Supplementary Material 7.SM.2), constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Contribution of forcing agents to 2019 temperature change relative to 1750 produced using the two-layer emulator (Supplementary Material 7.SM.2), constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1. The forcing agents represented are the following:\r\n - carbon dioxide\r\n - other well-mixed greenhouse gases (WMGHGs)\r\n - ozone\r\n - stratospheric water vapour\r\n - surface albedo\r\n - contrails and aviation-induced cirrus\r\n - aerosols\r\n - solar\r\n - volcanic\r\n - total\r\n\r\nThe results are from a 2237-member ensemble. \r\nSolid bars represent best estimates, and very likely (5–95%) ranges are given by error bars. Dashed error bars show the contribution of forcing uncertainty alone, using best estimates of ECS (3.0°C), TCR (1.8°C) and two-layer model parameters representing the CMIP6 multi-model mean. \r\nSolid error bars show the combined effects of forcing and climate response uncertainty using the distribution of ECS and TCR from Tables 7.13 and 7.14, and the distribution of calibrated model parameters from 44 CMIP6 models. \r\nNon-CO2 WMGHGs are further broken down into contributions from methane (CH4), nitrous oxide (N2O) and halogenated compounds. \r\nSurface albedo is broken down into land-use changes and light-absorbing particles on snow and ice. \r\nAerosols are broken down into contributions from aerosol–cloud interactions (ERFaci) and aerosol–radiation interactions (ERFari). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.7:\r\n \r\n - Data file: AR6 FGD assessment time series - GMST and GSAT.xlsx\r\n\r\nECS stands for Equilibrium Climate Sensitivity.\r\nTCR stands for Transient Climate Response.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nWithin the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, temperature, anthropogenic, natural, greenhouse gases, aerosols", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { 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Data processing software found in: https://github.com/ncasuk/AMF_CVs/releases/tag/v1.0.0\r\nXACT obtains data exists for PM10 Aerosols only for data prior to December 2020, and both PM2.5 and PM10 are analysed between December 2020 and Febuary 2022.\r\nOnce complete, data are uploaded to CEDA for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37963/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37907/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181318/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/38000/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38002, "uuid": "c6b366dabf9b4536b5500e5f1f7a7235", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.12 (v20220824)", "abstract": "Input Data for Figure 6.12 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.12 shows contribution to effective radiative forcing (ERF) and global mean surface air temperature (GSAT) change from component emissions between 1750 to 2019 based on CMIP6 models. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Contribution to effective radiative forcing (ERF) (a) and global mean surface air temperature (GSAT) change (b) from component emissions between 1750 to 2019 based on CMIP6 models\r\n\r\nERFs for the direct effect of well-mixed greenhouse gases (WMGHGs) are from the analytical formulae in section 7.3.2, H2O (strat) is from Table 7.8. ERFs for other components are multi-model means from Thornhill et al. (2021b) and are based on ESM simulations in which emissions of one species at a time are increased from 1850 to 2014 levels. The derived emissions-based ERFs are rescaled to match the concentration-based ERFs in Figure 7.6.\r\n\r\nError bars are 5–95% and for the ERF account for uncertainty in radiative efficiencies and multi-model error in the means. ERFs due to aerosol–radiation (ERFari) and cloud effects are calculated from separate radiation calls for clear-sky and aerosol-free conditions (Ghan, 2013; Thornhill et al., 2021b). \r\n\r\n‘Cloud’ includes cloud adjustments (semi-direct effect) and ERF from indirect aerosol-cloud to –0.22 W m–2 for ERFari and –0.84 W m–2 interactions (ERFaci). The aerosol components (SO2, organic carbon and black carbon) are scaled to sum to –0.22 W m–2 for ERFari and –0.84 W m–2 for ‘cloud’ (Section 7.3.3). \r\n\r\nFor GSAT estimates, time series (1750–2019) for the ERFs have been estimated by scaling with concentrations for WMGHGs and with historical emissions for SLCFs. The time variation of ERFaci for aerosols is from Chapter 7. The global mean temperature response is calculated from the ERF time series using an impulse response function (Cross-Chapter Box 7.1) with a climate feedback parameter of –1.31 W m–2 °C–1. \r\n\r\nContributions to ERF and GSAT change from contrails and light-absorbing particles on snow and ice are not represented, but their estimates can be seen on Figure 7.6 and 7.7, respectively. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3)\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interactions.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interactions. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.12:\r\n \r\n - Data file: hodnebrog_tab3.csv: Radiative forcing for HFCs from Hodnebrog et al (2020)\r\n - Data file: recommended_irf_from_2xCO2_2021_02_25_222758.csv: Impulse response function (IRF) from AR6\r\n - Data file: table2_thornhill2020.csv: ERF from Thornhill et al (2021)\r\n - Data file: attribution_input.csv\r\n - Data file: attribution_input_sd.csv\r\n\r\nThe folder: 'LLGHG_history_AR6_v9_updated' - contains csv files for each sheet in excel file 'LLGHG_history_AR6_v9_updated.xlsx' which gives historical concentrations from AR6.\r\n\r\nThe folder CEDS_v2021-02-05_emissions (historical emissions of SLCFs from CEDS) contains the following file formats:\r\n\r\n${component}$_${region}$_CEDS_emissions_by${category}$_${type}$_2021_02_05.csv, with:\r\n\r\n- ${component}: BC, CH4, CO2, CO, N2O, NH3, NMVOC, NOx, OC, SO2\r\n- ${region}: blank, or 'global'\r\n- ${category}: sector, country, sector and country\r\n- ${type}: blank, or 'fuel'\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, historical effective radiative forcing, attributed historical warming", "publicationState": "citable", "dataPublishedTime": "2023-05-10T14:51:20", "doiPublishedTime": "2023-07-03T14:31:37.517526", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38039/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/inputdata_ch6_fig12/v20220824", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 168322757, "numberOfFiles": 58, "fileFormat": "CSV, XLSX, txt, net-CDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10459/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12570/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32721/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192697/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39580/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38003, "uuid": "0ca27ce794324ec086d6a6c60d5567ac", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.22 and Figure 6.24 (v20220824)", "abstract": "Input data for figures 6.22 and 6.24 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.22 shows time evolution of the effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs). \r\n\r\nFigure 6.24 shows effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nFigure 6.22 has 1 panel, with input data provided for this panel.\r\n\r\nFigure 6.24 has 2 subpanels, with input data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Effects of net aerosols, methane, tropospheric ozone and hydrofluorocarbons (HFCs; with lifetimes <50years), and the sum of these, relative to the year 2019 and to the year 1750. \r\n\r\n- The GSAT changes are based on the assessed historic and future evolution of effective radiative forcing (ERF; Section 7.3.5). The temperature responses to the ERFs are calculated with an impulse response function with an equilibrium climate sensitivity of 3.0°C for a doubling of atmospheric CO2 (feedback parameter of –1.31 W m–2 °C–1, see Cross-Chapter Box 7.1). The vertical bars to the right in each panel show the uncertainties (5–95% ranges) for the GSAT change between 2019 and 2100. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figures\r\n ---------------------------------------------------\r\n Data provided in relation to figures 6.22 and 6.24:\r\n \r\n - Data file: AR6_ERF_1750-2019.csv: ERF derived from FAiR\r\n - Data file: AR6_ERF_minorGHGs_1750-2019.csv: ERF derived from FAiR\r\n - Data file: recommended_irf_from_2xCO2_2021_02_25_222758.csv: Impulse response function (IRF) from AR6\r\n\r\nThe folder SSPs (SSP scenario ERF from FAIR) contains the following file formats:\r\n\r\nERF_${scenario}$_${component}$_1750-2500.csv, with:\r\n\r\n- $(scenario): the name of the scenario : ssp119, ssp126, ssp245, ssp334, ssp370, ssp370-low-nTCF-aerchemmip, ssp370-low-nTCF-gidden, ssp434, ssp460, ssp534-over, ssp585\r\n- $(component): blank, or 'minor GHGs'\r\n\r\nThe folder slcf_warming_ranges (uncertainties in dGSAT from FAIR) contains the following file formats:\r\n\r\nslcf_warming_ranges_${scenario)_$(uncertainty).csv, with:\r\n\r\n- ${scenario}: the name of the scenario : ssp119, ssp126, ssp245, ssp334, ssp370, ssp370-lowNTCF-aerchemmip, ssp370-lowNTCF-gidden, ssp434, ssp460, ssp534-over, ssp585\r\n- ${uncertainty}: percentiles of warming: p05, p16, p50, p84, p95\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figures from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to Figure 6.22 on the IPCC AR6 website\r\n - Link to Figure 6.24 on the IPCC AR6 website\r\n - Link to the report component containing the figures (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with these figures.\r\n - Link to the code for the figures, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, scenario warming, short-lived climate forcers, aerosol, methane, ozone, HFCs", "publicationState": "citable", "dataPublishedTime": "2023-05-10T15:13:03", "doiPublishedTime": "2023-07-03T14:42:39.190510", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": 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The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2021.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. 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The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2021. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version (202107) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2021, and additional historical data for Colmonell (Ayrshire, 1924-1960), Camps Reservoir (Lanarkshire, 1934-1960), and Greenock (Renfrewshire, 1910-1960).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. 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The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2021.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2021.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2021.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light. \r\n\r\nFor details about the different measurements made and the limited number of sites making them please see the MIDAS Solar Irradiance table linked to in the online resources section of this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2021.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2021.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.", "keywords": "Met Office, MIDAS, UK, meteorology, solar irradiance, hourly, global, diffuse, direct", "publicationState": "citable", "dataPublishedTime": "2022-09-09T13:42:54", "doiPublishedTime": "2022-09-22T15:46:54", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38082/?format=api", "dataPath": "/badc/ukmo-midas-open/data/uk-radiation-obs/dataset-version-202207/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2844877616, "numberOfFiles": 5369, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10493/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/17/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31162/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31349/?format=api" ], "dataLineage": "Data collated by the Met Office and archived in the Met Office's MIDAS database. Data are extracted from a sub-set of available tables and delivered to Centre for Environmental Data Analysis (CEDA) approximately on a yearly basis.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12200/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/1186/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26184/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181460/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/1240/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38092, "uuid": "aff921a9f2a34f008744342f0baaa9a5", "title": "HadCM3 general circulation model forced simulations of oscillating last glacial maximum forced with deglacial meltwater", "abstract": "This dataset contains HadCM3 model global forced simulations of the last glacial maximum, inputs and outputs, as used in the publication Rome et al. 2022 (DOI:10.1002/essoar.10511015.1). Seven simulations outputs are included under the names XOUPA, TFGBD_XOUPD, XOUPH, TFGBR_XOUPL, TFGBI, XOUPF and TFGBJ. The simulations were created using the general circulation model HadCM3 over the entire globe under last glacial maximum (21,000 years ago) conditions and forced with snapshots of meltwater derived from the early deglaciation (21,500 to 17,800 years ago). The outputs consist of sea-ice concentration, ocean overturning circulation, mixed layer depth, sea surface salinity, sea surface temperature, precipitation and surface air temperature. For reproducibility, the meltwater input files used for the forcing (lgm_inputs), the model input files (mw_inputs), the pre-industrial climatologies (pi_climate) and the crash diagnostics (crash_data) are included.", "keywords": "last glacial maximum, last deglaciation, HadCM3", "publicationState": "citable", "dataPublishedTime": "2022-09-27T14:35:34", "doiPublishedTime": "2022-09-27T14:36:40", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38093/?format=api", "dataPath": "/badc/deposited2022/lgm_oscillations", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53536747877, "numberOfFiles": 107, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10500/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3615/?format=api", "nonGeographicFlag": false, "phenomena": [ 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49982/?format=api" ], "dataLineage": "Data were generated using the HadCM3 climate model with a 19 layers x 2.5 degrees x 3.75 degrees atmosphere model coupled to a 20 layers x 1.25 degrees x 1.25 degrees ocean model, and land and vegetation models. Data were converted to the netCDF format and compiled the field of interest in time series for each field and simulation. The data were then archived at CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12207/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/38094/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181513/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/38095/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38099, "uuid": "605bdfe77b0a4c7493c0477f5a95fc0a", "title": "CALIOP and OMPS-LP satellite retrievals of the aerosol extinction coefficient for the Australian wildfires stratospheric impact study, Southern Hemisphere Data Set 2020", "abstract": "This dataset contains zonally averaged data from NASA's Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and NASA's Ozone Mapping and Profiler Suite -Limb Profiler (OMPS-LP) satellite retrievals of the aerosol extinction coefficient and ozone anomalies during 2020. These data were used for the experiments of Damany-Pearce et al. in the publication \"Australian Wildfires cause the largest stratospheric warming since Pinatubo and extends the lifetime of the Antarctic ozone hole\" 2022. \r\n\r\nThe ozone anomalies are given at monthly intervals, throughout all of 2020, at 1˚ latitude bands over the whole Southern Hemisphere, based on OMPS-LP retrievals. The aerosol extinction coefficient anomalies are given at weekly intervals, from 2020-12-29 through to the end of 2020, at 10˚ latitude bands from 20˚S to 70˚S. These are given as a combined dataset based off both CALIOP and OMPS-LP retrievals, the full details of how the retrievals were combined and all anomalies were calculated is outlined in Damany-Pearce et al., (2020). NetCDF files of the total uncertainty in both the CALIOP and OMPS-LP retrieved aerosol extinction coefficient anomalies are also included.\r\n\r\nThe dataset also includes 8 files that would be needed to reproduce the experiments of Damany-Pearce et al. (2022) on the (UK Earth System Model) UKESM1 platform, these are the satellite retrievals of aerosol extinction coefficient and ozone anomalies, that have been converted into the input required by UKESM1 and full descriptions of these are provided in the readme.txt file.", "keywords": "SASSO, NE/S00212X/1", "publicationState": "published", "dataPublishedTime": "2022-09-30T11:18:45", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38100/?format=api", "dataPath": "/badc/deposited2022/sasso_aus_wildfires_stratosphere", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1521084402, "numberOfFiles": 15, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10502/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3617/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49997/?format=api" ], "dataLineage": "These data were downloads of CALIOP and OMPS-LP satellite retrievals that have been zonally averaged and placed into subsets and then converted into the products required as input by the UKESM1 model by the project team. Data were then uploaded to CEDA for archival", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/38101/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181553/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/38108/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38103, "uuid": "e0b4e1e56c1c4460b796073a31366980", "title": "CRU TS4.06: Climatic Research Unit (CRU) Time-Series (TS) version 4.06 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2021)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.06 data are month-by-month variations in climate over the period 1901-2021, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.06 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2021.\r\n\r\nThe CRU TS4.06 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.06 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.", "keywords": "CRU, CRU TS, 4.06, CRU TS4.06, CRU TS 4, CRU TS 4.06,atmosphere, earth science, climate,", "publicationState": "published", "dataPublishedTime": "2022-09-30T09:09:34", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38104/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.06", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7033543050, "numberOfFiles": 409, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10503/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The CRU TS data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of the CRU TS data include:\r\n\r\nCRU TS 4.06 was provided to CEDA for archival in May 2022.\r\n\r\nCRU TS 4.05 was provided to CEDA for archival in June 2021.\r\n\r\nCRU TS 4.04 was provided to CEDA for archival in April 2020.\r\n\r\nCRU TS 4.03 was provided to CEDA for archival in May 2019. \r\n\r\nCRU TS 4.02 was provided to CEDA for archival in December 2018. \r\n\r\nCRU TS 4.01 was provided to CEDA for archival in September 2017. \r\n\r\nCRU TS 4.00 was provided to CEDA for archival in March 2017. \r\n\r\nCRU TS 3.24.01 was provided to CEDA for archival in January 2017. This is the latest version available and is a replacement for the withdrawn dataset 3.24, it supersedes all previous data versions (which are available to allow user comparisons)\r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons), v3.24 has been withdrawn.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In July 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.10.01 In July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27513/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181570/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38111, "uuid": "dd4d20c8626f4b9d99bc14358b1b50fe", "title": "Airborne LiDAR and RGB imagery from Sepilok Reserve and Danum Valley in Malaysia in 2020", "abstract": "This dataset contains LiDAR and RedGreenBlue (RGB) Imagery data collected from a helicopter over two forest sites in Sabah, Malaysia in February 2020.\r\n\r\nPoint cloud data are included in LAS (LASer) format as well as RGB data summary rasters in .tif format. The raster images were processed with LAStools using default parameters. Canopy Height Model (CHM), Digital Surface Model (DSM), Digital Terrain Model (DTM) and pulse density (pd) are also present. The RGB data are provided as jpgs and are organised by flight julian day (JD). \r\n\r\nThe Sepilok Reserve was scanned in full between 15 February 2020 (julian day 46). This is a total area of 27 square kilometres. In Danum Valley the scanning was distributed into two contiguous areas, the protected area (20 square kilometres) and the reduced impact logging area (9 square kilometres) on the 19-22 February 2020 (julian day 50-53). Importantly, these areas were chosen because of the availability of prior airborne LiDAR data collected by NERC in 2014 and by Ground Data Solutions in 2013. \r\n\r\nThe helicopter flew at approximately 350 m altitude above the forest canopy and at a speed of approximately 100 km/hr. The data were georeferenced using ground control points and are provided in the UTM 50N coordinate system.", "keywords": "Lidar, Sepilok, Danum Valley", "publicationState": "citable", "dataPublishedTime": "2022-09-29T14:21:15", "doiPublishedTime": "2022-10-03T08:57:31", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38112/?format=api", "dataPath": "/badc/deposited2022/Airborne_Imagery_Sabah_2020", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1010598480479, "numberOfFiles": 9982, "fileFormat": "Data are tif images, shape files and LASer (.las) formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10504/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3618/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "All data was collected by Ground Data Solutions R&D Sdn Bhd from a helicopter. The raw LiDAR waveform data were then discretized into point cloud data (in LAS1.2 format). Data were prepared by the project team before uploading to CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12208/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/38113/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40623/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/181596/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/38114/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38128, "uuid": "1f359da21c4041b4ab0977d05c7d38f0", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.15 (v20220916)", "abstract": "Data for Figure TS.15 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure TS.15 shows contribution to ERF and global surface temperature change from component emissions between 1750 to 2019 based on CMIP6 models, and net aerosol effective radiative forcing (ERF) from different lines of evidence.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with data provided for all panels in the underlying chapter figures (6.12 and 7.5).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n Figure 6.12:\r\n - Contribution to effective radiative forcing (ERF) (a) and global mean surface air temperature (GSAT) change (b) from component emissions between 1750 to 2019 based on CMIP6 models\r\n\r\n\r\nFigure 7.5:\r\n - Net aerosol effective radiative forcing (ERF), in W m-2, from:\r\n - AR5 assessment\r\n - AR6 assessment comprising the following:\r\n (Energy balance constraints [–2 to 0 W m–2 with no best estimate])\r\n (Observational evidence from satellite retrievals of –1.4 [–2.2 to –0.6] W m–2)\r\n (Combined model-based evidence of –1.25 [–2.1 to –0.4] W m–2)\r\n\r\n\r\nDetails about the dataset in the catalogue records of the underlying chapter figures (6.12 and 7.5)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a and panel b:\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF.csv.\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF_uncertainty.csv.\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT.csv.\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT_uncertainty.csv.\r\n \r\n Panel c:\r\n - Data file: table7.6.csv: input data for figure 7.5\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n ERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\n ERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\n IRFari stands for Instantaneous Radiative Forcing of aerosol-radiation interaction.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel a and panel b are identical to panel a and panel b of figure 6.12. 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"99120ddac5004caa85358f5250e2eece", "title": "CRU CY4.06: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.06 (Jan. 1901 - Dec. 2021)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.06 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2022 by CRU at the University of East Anglia and extends the CRU CY4.06 data to include 2021. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.06 is derived directly from the CRU time series (TS) 4.06 dataset. CRU CY version 4.06 spans the period 1901-2021 for 292 countries.\r\n\r\nTo understand the CRU CY4.06 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.06. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.06 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.", "keywords": "CRU, CRU CY, CY, climate", "publicationState": "published", "dataPublishedTime": "2022-09-30T09:07:25", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38217/?format=api", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.06/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 51408645, "numberOfFiles": 2925, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10531/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The Climatic Research Unit (CRU) CY data are derived directly from the CRU TS data, and version numbering is matched between the two datasets. The CRU CY data are produced by the CRU unit at the University of East Anglia and passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of CRU CY include:\r\nCRU CY 4.06 data were passed to CEDA for archival and distribution by CRU in May 2022.\r\n\r\nCRU CY 4.05 data were passed to CEDA for archival and distribution by CRU in June 2021.\r\n\r\nCRU CY 4.04 data were passed to CEDA for archival and distribution by CRU in October 2020.\r\n\r\nCRU CY 4.03 data were passed to CEDA for archival and distribution by CRU in May 2019.\r\n\r\nCRU CY 4.02 data were passed to CEDA for archival and distribution by CRU in November 2018.\r\n\r\nCRU CY 4.01 data were passed to CEDA for archival and distribution by CRU in September 2017.\r\n\r\nCRU CY 4.00 data were passed to CEDA for archival and distribution by CRU in March 2017.\r\n\r\nCRU CY 3.24.01 data files supplied to CEDA for long term archival by CRU in January 2017.\r\n\r\nThe CRU CY 3.24 data were withdrawn by CRU and CEDA in January 2017 due to known issues with the data.\r\n\r\nCRU CY 3.24 data files supplied to CEDA for long term archival by CRU in October 2016.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27835/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182015/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38218, "uuid": "38715b12b22043118a208acd61771917", "title": "CRU JRA v2.3: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2021.", "abstract": "The CRU JRA V2.3 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2021.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.06 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001", "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate", "publicationState": "published", "dataPublishedTime": "2022-09-30T09:11:50", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38219/?format=api", "dataPath": "/badc/cru/data/cru_jra/cru_jra_2.3/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 410346066565, "numberOfFiles": 1212, "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10532/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The CRU JRA data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26851/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182028/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27185/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38227, "uuid": "f99ec964a6f345beadb000e295ac2e5b", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.9 v20220922", "abstract": "Data for Figure TS.9 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure TS.9 shows changes in well-mixed greenhouse gas (WMGHG) concentrations and effective radiative forcing (EFR).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nPlease also include citations of the related publications for Figure 2.4b provided at the end of this abstract.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panels b and c. Links to the code which contains the data for other panels are provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Panel TS.9a => Figure 2.3 c\r\n - Panel TS.9b => Figure 2.4 b\r\n - Panel TS.9c => Figure 2.5 a,b,c\r\n - Panel TS.9d => Figure 2.10\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Panel TS.9b => Figure 2.4 b\r\n - Panel TS.9c => Figure 2.5 a,b,c\r\n\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from 450 Ma to 2020. \r\nMa refers to millions of years before present.\r\n\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure from the provided data\r\n---------------------------------------------------\r\nData for figures 2.3 c and 2.10 are contained within the code to generate the figures which is linked in the Related Documents section of this catalogue record and data for Figure 2.5 and 2.4 panel b are provided. The corresponding catalogue records for Figure 2.5 and 2.4 are linked in the Related Records section below.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Technical Summary)\r\n - Link to the report component of the underlying chapter figures from which this figure was generated (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n- Links to catalogue records of relevant figures the data is taken from in the Related Records section of this catalogue record\r\n- Link to code which contains data for figure 2.3 and 2.10\r\n\r\n\r\n---------------------------------------------------\r\nRelated publications for figure 2.4 panel b datasets\r\n---------------------------------------------------\r\nPlease include the following citations of related publications from which the figure 2.4 panel b datasets originate. Relations to individual datasets are listed at the top of each dataset. Links are provided in the Related Documents section of the figure 2.4 catalogue record which is linked to this record.\r\n\r\nAhn, J., Brook, E. J., Mitchell, L., Rosen, J. McConnell, J. R., Taylor, K., Etheridge, D., and Rubino, M. (2012b). Atmospheric CO2 over the last 1000 years: A high-resolution record from the West Antarctic Ice Sheet (WAIS) Divide ice core, Global Biogeochemical Cycles, 26, GB2027 , doi:10.1029/2011GB004247.\r\n\r\nBauska, T. K., Joos, F., Mix, A. C., Roth, R., Ahn, J., & Brook, E. J. (2015). Links between atmospheric carbon dioxide, the land carbon reservoir and climate over the past millennium. Nature Geoscience. https://doi.org/10.1038/ngeo2422\r\n\r\nRubino, M., Etheridge, D. M., Thornton, D. P., Howden, R., Allison, C. E., Francey, R. J., Langenfelds, R. L., Steele, L. P., Trudinger, C. M., Spencer, D. A., Curran, M. A. J., van Ommen, T. D., & Smith, A. M. (2019). Revised records of atmospheric trace gases CO2, CH4, N2O, and d13C-CO2 over the last 2000 years from Law Dome, Antarctica. Earth System Science Data, 11(2), 473–492. https://doi.org/10.5194/essd-11-473-2019\r\n\r\nSIEGENTHALER, U. R. S., MONNIN, E., KAWAMURA, K., SPAHNI, R., SCHWANDER, J., STAUFFER, B., STOCKER, T. F., BARNOLA, J.-M., & FISCHER, H. (2005). Supporting evidence from the EPICA Dronning Maud Land ice core for atmospheric CO2 changes during the past millennium. Tellus B, 57(1), 51–57. https://doi.org/10.1111/j.1600-0889.2005.00131.x\r\n\r\nMitchell, L., Brook, E., Lee, J. E., Buizert, C., & Sowers, T. (2013). Constraints on the late Holocene anthropogenic contribution to the atmospheric methane budget. Science. https://doi.org/10.1126/science.1238920\r\n\r\nFlückiger, J., Dällenbach, A., Blunier, T., Stauffer, B., Stocker, T. F., Raynaud, D., & Barnola, J. M. (1999). Variations in atmospheric N2O concentration during abrupt climatic changes. Science. https://doi.org/10.1126/science.285.5425.227\r\n\r\nMachida, T., Nakazawa, T., Fujii, Y., Aoki, S., & Watanabe, O. (1995). Increase in the atmospheric nitrous oxide concentration during the last 250 years. Geophysical Research Letters, 22(21), 2921–2924. https://doi.org/10.1029/95GL02822\r\n\r\nRyu, Y., Ahn, J., Yang, J.-W., Jang, Y., Brook, E., Timmermann, A., Hong, S., Han, Y., Hur, S., & Kim, S. (2020). Atmospheric nitrous oxide during the past two millennia, Global Biogeochemical Cycles, 34, e2020GB006568. https://doi.org/10.1029/2020GB006568\r\n\r\nSowers, T. (2001). N2O record spanning the penultimate deglaciation from the Vostok ice core. Journal of Geophysical Research: Atmospheres, 106(D23), 31903–31914. https://doi.org/10.1029/2000JD900707", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Atmospheric CO2, paleoclimate, Atmospheric WMGHG concentrations, Well-Mixed Greenhouse Gases, global, carbon dioxide, methane, nitrous oxide, Effective Radiative Forcing, ERF, drivers, annual mean, ice cores", "publicationState": "citable", "dataPublishedTime": "2023-06-05T13:17:30", "doiPublishedTime": "2023-07-27T13:35:20.277299", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38228/?format=api", "dataPath": "/badc/ar6_wg1/data/TS/ts_09/v20220922", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 548361, "numberOfFiles": 10, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10533/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3646/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12654/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39213/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193595/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/38229/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 38230, "uuid": "d75fd35a7444433c9b5b78ef110495ab", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.22 v20220923", "abstract": "Data for Figure TS.22 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure TS.22 shows a synthesis of the geographical distribution of climatic impact-drivers changes and the number of AR6 WGI reference regions where they are projected to change.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - geographical location of regions belonging to one of five groups characterized by a specific combination of changing climatic impact-drivers (CIDs).\r\n - number of AR6 WG1 regions where Climatic Impact Drivers are projected to change if a global warming level of 2°C is reached compared to a climatological reference period included within 1960-2014\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - 'Figure-F-Panels_IDL.xlsx' - Datafile containing data for both figures in excel sheets\r\n\r\nIndividual panel data in csv format:\r\n\r\n - Panel a: 'Figure-F-Panel_a_IDL.csv' - Description of the clustering used to generate panel a\r\n \r\n - Panel b: 'consolidated_data_figure_SPM.9.csv' - Same data used for Figure SPM.9 (count of regions with increasing or decreasing changes in climatic impact-drivers). First row relates to darker purple bars, second row to lighter purple bars, third row refers to lighter brown bars and fourth row to darker brown bars.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Link to the related record SPM.9 identical to panel b is provided in the Related Records section under Datasets.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Technical Summary)\r\n - Link to the report component of the underlying figures from which this figure was generated (Figure SPM.9)\r\n - Link to the SPM.9 catalogue record at CEDA", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, climatic impact-drivers, projected change, AR6 regions", "publicationState": "citable", "dataPublishedTime": "2023-06-06T09:46:02", "doiPublishedTime": "2023-08-02T10:03:27.913754", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38231/?format=api", "dataPath": "/badc/ar6_wg1/data/TS/ts_22/v20220923", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 88274, "numberOfFiles": 6, "fileFormat": "Data are in excel sheets and csv format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10534/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3647/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12660/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39213/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182067/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/38232/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] } ] }