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=8900
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9000", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=8800", "results": [ { "ob_id": 39504, "uuid": "abb030f60cf848278fe519379a2aaac9", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.25 (v20221215)", "abstract": "Data for Figure 6.25 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\n\r\nFigure 6.25 shows the effect of dedicated air pollution or climate policy on population-weighted PM2.5 (Fine particulate matter) concentrations (µg m-3) and share of population (%) exposed to different PM2.5 levels across 10 world regions.\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 Szopa, 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 30 panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains PM2.5 (Fine particulate matter) concentrations (µg m–3) and share of population (%) exposed to different PM2.5 levels across selected world regions.\r\n \r\n - Percentage of population exposed to PM2.5 Exposure threshold <= 10 microgram per m^3, including dust + sea salt.\r\n - Percentage of population exposed to PM2.5 Exposure threshold > 10 microgram per m^3 and<= 35 microgram per m^3, including dust + sea salt.\r\n - Percentage of population exposed to PM2.5 Exposure threshold > 35 microgram per m^3, including dust + sea salt.\r\n - Population weighted mean PM2.5 concentration [mean microgram per m^3]\r\n Regions: North America, Europe, Southern Asia, Eastern Asia, South-East Asia and developing Pacific, Asia-Pacific developed, Africa, Middle East, Latin America and Caribbean, Eurasia\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All panels:\r\n \r\n - Data file: Fig_6.25_plot_data.csv\r\n - rows 4 to 54: left panels\r\n - rows 55 to 105: central panels\r\n - rows 106 to 156: right panels\r\n - column 2: white\r\n - column 3: light grey\r\n - column 4: dark grey\r\n - column 5: orange line\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", "keywords": "PM2.5, air pollution, climate policies, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-03-01T17:00:29", "doiPublishedTime": "2023-03-22T11:05:45.505865", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39505/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/ch6_fig25/v20221215", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7457, "numberOfFiles": 4, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10953/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3731/?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 files converted to CSV format by CEDA staff.\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/12430/?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/192668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192677/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39506/?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": 39510, "uuid": "bf31afbbbafc49d39546aa78a2268f44", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.26 (v20221215)", "abstract": "Data for Figure 6.26 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\n\r\nFigure 6.26 shows the effect of dedicated air pollution or climate policy on population-weighted ozone concentrations (SOMO0; ppb) and share of population (%) exposed to different ozone levels across 10 world regions.\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 Szopa, 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 30 panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains population-weighted ozone concentrations (SOMO0; ppb) and share of population (%) exposed to chosen ozone levels across across 10 world regions.\r\n \r\n - Percentage of population exposed to Ozone level exposure threshold <= 35 ppb, annual average daily maximum 8-hourly ozone concentration.\r\n - Percentage of population exposed to Ozone level exposure threshold > 35 ppb and<= 60 ppb, annual average daily maximum 8-hourly ozone concentration\r\n - Percentage of population exposed to Ozone level exposure threshold > 60 ppb, annual average daily maximum 8-hourly ozone concentration\r\n - Population weighted mean Ozone level concentration [mean ppb], annual average daily maximum 8-hourly ozone concentration.\r\n\r\n Regions: North America, Europe, Southern Asia, Eastern Asia, South-East Asia and developing Pacific, Asia-Pacific developed, Africa, Middle East, Latin America and Caribbean, Eurasia\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All panels:\r\n \r\n - Data file: Fig_6.26_plot_data.csv\r\n - rows 4 to 54: left panels\r\n - rows 55 to 105: central panels\r\n - rows 106 to 156: right panels\r\n - column 2: white\r\n - column 3: light grey\r\n - column 4: dark grey\r\n - column 5: orange line\r\n\r\nppb stands for parts per billion.\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", "keywords": "ozone, air pollution, climate policies, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-03-02T09:38:55", "doiPublishedTime": "2023-03-22T11:13:23.772398", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39511/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/ch6_fig26/v20221215", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7577, "numberOfFiles": 4, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10954/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3732/?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/12431/?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/192685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192694/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39512/?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": 39513, "uuid": "fe6074fee8a64a738cf89f0294bd9fb9", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS.7, Figure 1 (v20221216)", "abstract": "Data for Box TS.7, Figure 1 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\nBox TS.7 figure 1 shows the effects of short-lived climate forcers (SLCFs) on global surface temperature and air pollution 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\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 three panels, data provided for the right part of panels b and c in one single file. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global changes in air pollutant concentrations (ozone and PM2.5), based on multimodel CMIP6 simulations:\r\n \r\n - changes in 5-year mean surface continental concentrations for 2040, relative to 2019.\r\n - changes in 5-year mean surface continental concentrations for 2098, relative to 2019.\r\n\r\n Data are for the SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP3-7.0 lowSLCF highCH4, SSP3-7.0 lowSLCF lowCH4 and SSP5-8.5 scenarios.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Box_TS7_figure1.csv relates to the right part of panels b and c.\r\n \r\n - Column 5 is used for the green bars\r\n - Columns 4 and 6 are used for the standard deviation plotted over the green bars.\r\n - Column 8 is used for the purple bars.\r\n - Columns 7 and 9 are used for the standard deviation plotted over the purple bars.\r\n\r\nPM2.5 refers to particulate matter that are 2.5 micrometers or less in diameter.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on Shared Socioeconomic Pathway SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on Shares Socioeconomic Pathway SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nSLCF stands for short-lived climate forcers.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n - Data Sources for effect on GSAT are the same as in Figure 6.24 (see Chapter 6 Supplementary Material Table 6.SM.3). \r\n\r\n- Data Sources for effect on surface PM2.5 and O3 are the same as in Figures 6.20 and 6.21 (see Chapter 6 Supplementary Material Table 6.SM.3)\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 - Links to the report components of the underlying chapter figures from which part of this figure was generated (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", "keywords": "SLCFs, air pollution, ozone, PM2.5, SSP, mitigation, GSAT, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-06-06T14:44:10", "doiPublishedTime": "2023-09-26T13:52:59.194966", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39514/?format=api", "dataPath": "/badc/ar6_wg1/data/TS/BOX_ts7_fig1/v20221216", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8818, "numberOfFiles": 4, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10955/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3733/?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/12690/?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/192699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192709/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39515/?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": 39521, "uuid": "60eeb3cce51a457cb5ee1c577a0c8674", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.4 (v20221219)", "abstract": "Data for Figure 2.4 from Chapter 2 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 2.4 shows Atmospheric well-mixed greenhouse gases concentration from ice cores. \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 Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. 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. 287–422, doi:10.1017/9781009157896.004.\r\n\r\nPlease also include citations of the related publications provided at the end of this abstract.\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 in the main directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Atmospheric WMGHG concentration records during the last 800 kyr with the LGM to Holocene transition as inset.\r\n - Multiple high-resolution records over the CE\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nSubdirectory 'fig2_4_data_Feb24_2021' contains figure data with listed publications from which the datasets originate. Datasets are also provided in BADC-CSV formats as described below:\r\n\r\n Panel a: \r\n - Data file: fig2_4a_main figure_data.csv; column 2: red line (main figure); column 4: green line (main figure); column six: purple line (main figure).\r\n - Data file: fig2_4a_inset_data.csv: column 3: red line (inset); column 6: orange line (inset)\r\n\r\n Panel b:\r\n - Data file: fig2_4b_data_v2.csv: column 2: pink dot (top panel); column 5: brown dot (top panel); column 8: orange dot (top panel); column 11: red line (top panel); column 13: sky blue line (middle panel); column 15: green line (middle panel); column 18: purple square (bottom panel); column 21: blue circle N2O (bottom panel); column 24: brown dot (bottom panel); column 26: green circle (bottom panel); column 29: red circle (bottom panel); column 32: orange square (bottom panel); column 35: blue line (bottom panel)\r\n\r\nWMGHG stands for well-mixed green-house gases.\r\nLGM stands for Last Glacial Maximum.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range of data\r\n---------------------------------------------------\r\nThis dataset covers a timespan from 800kyr ago to 2000 CE.\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 from the IPCC AR6 website \r\n - Link to the report component containing the figure (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 related publications listed below\r\n\r\n\r\n---------------------------------------------------\r\nRelated publications for figure datasets\r\n---------------------------------------------------\r\nPlease include the following citations of related publications from which the figure datasets originate. Relations to individual datasets are listed at the top of each dataset. Links are provided in the Related Documents section of this catalogue record. \r\n\r\nBereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., & Chappellaz, J. (2015). Revision of the EPICA Dome C CO2 record from 800 to 600-kyr before present. Geophysical Research Letters. https://doi.org/10.1002/2014GL061957\r\n\r\nLoulergue, L. et al. Orbital and millennial-scale features of atmospheric CH4 over the past 800,000 years. Nature 453, 383–386 (2008)\r\n\r\nSchilt, A., Baumgartner, M., Blunier, T., Schwander, J., Spahni, R., Fischer, H., and Stocker, T. F.: Glacial-interglacial and millennialscale variations in the atmospheric nitrous oxide concentration uring the last 800 000 years, Quaternary Science Reviews, 29, 182–192, doi:10.1016/j.quascirev.2009.03.011 (2010)\r\n\r\nKöhler, P., Nehrbass-Ahles, C., Schmitt, J., Stocker, T. F., & Fischer, H. (2017). A 156 kyr smoothed history of the atmospheric greenhouse gases CO2, CH4, and N2O and their radiative forcing. Earth System Science Data. https://doi.org/10.5194/essd-9-363-2017\r\n\r\nLüthi, D., M. Le Floch, B. Bereiter, T. Blunier, J.-M. Barnola, U. Siegenthaler, D. Raynaud, J. Jouzel, H. Fischer, K. Kawamura, and T.F. Stocker. 2008. High-resolution carbon dioxide concentration record 650,000-800,000 years before present. Nature, Vol. 453, pp. 379-382, 15 May 2008.\r\n\r\nMarcott, S. A., Bauska, T. K., Buizert, C., Steig, E. J., Rosen, J. L., Cuffey, K. M., Fudge, T. J., Severinghaus, J. P., Ahn, J., Kalk, M. L., McConnell, J. R., Sowers, T., Taylor, K. C., White, J. W. C., & Brook, E. J. (2014). Centennial-scale changes in the global carbon cycle during the last deglaciation. Nature, 514(7524), 616–619.\r\n\r\nBereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., & Chappellaz, J. (2015). Revision of the EPICA Dome C CO2 record from 800 to 600-kyr before present. Geophysical Research Letters. https://doi.org/10.1002/2014GL061957\r\n\r\nMonnin E, Indermühle A, Dällenbach A, Flückiger J, Stauffer B, Stocker TF, Raynaud D, Barnola JM. Atmospheric CO2 concentrations over the last glacial termination. Science. 2001 Jan 5;291(5501):112-4. doi: 10.1126/science.291.5501.112. PMID: 11141559.\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": "Atmospheric WMGHG concentrations, ice cores, Well-Mixed Greenhouse Gases, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-05-11T14:19:10", "doiPublishedTime": "2023-07-03T17:25:46.644098", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39522/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig04/v20221219", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 503221, "numberOfFiles": 11, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10956/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3734/?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/12610/?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/32717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43269/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192731/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39523/?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": 39530, "uuid": "83f0d8ce1af040c09636c41366238217", "title": "Particulate Distribution Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site 2019 onwards", "abstract": "Particulate Matter Distribution data measured at 7m above ground level by a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\nMeasurements include the abundance of mass concentration of PM1 ambient aerosol in air, mass concentration of PM2.5 ambient aerosol in air, mass concentration of PM10 ambient aerosol in Air, and the concentration of ambient aerosol particles.", "keywords": "PM10, PM2.5, PM1, OSCA, maqs, air quality, OSCA-AQ", "publicationState": "published", "dataPublishedTime": "2023-01-17T12:27:36", "doiPublishedTime": null, "updateFrequency": "monthly", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39531/?format=api", "dataPath": "/badc/osca/data/manchester/OSCA_Manc_FIDAS_Distribution", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1618291817, "numberOfFiles": 109, "fileFormat": "Netcdf and CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10476/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3600/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65570/?format=api" ], "dataLineage": "Data are collected by the project team and transfered directly from the instrument to the computer database, before being transferred to the general database, where it is processed, averaged over minute time intervals and flagged where data is suspect. Data processing software can be found in: https://github.com/ncasuk/AMF_CVs/releases/tag/v1.0.0\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/192746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192753/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/37933/?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": 39532, "uuid": "a7e811fe11d34df5abac6f18c920bbeb", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): All-weather MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020), v2.33", "abstract": "MW-LST is a data record of land surface temperature (LST) derived from the microwave instruments Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager / Sounder (SSMIS). Observations available at frequencies close to 18, 22, 26, and 85 GHz are used as an input to a retrieval algorithm that produces LST over all continental surfaces, twice per day (6 am/pm), at a spatial resolution of ~25 km, and over 25 years (1996-2020). \r\n\r\nThe data record has been produced by the company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci). Compared with the remaining infrared LST data records of the LST_cci, the spatial resolution of the MW-LST is coarser, and the associated retrieval errors are larger. However, it offers LST estimates for clear-sky and cloudy conditions, therefore complementing the IR LST data records, which can only provide LST for clear skies. The data record is temporally and spatially complete, although in rare occasions some data can be missing due to missing observations, e.g., due to satellite maintenance operations or anomalous behavior. The data record is provided on a regular grid of 0.25x0.25 degrees, saved as daily, monthly, and yearly netcdf files. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty.\r\n\r\nThis version of the data is v2.33. It fixes an issue that was found with the variable 'lst_unc_time_correction' in the previous v2.23, but is otherwise identical.", "keywords": "land surface temperature, CCI", "publicationState": "citable", "dataPublishedTime": "2023-01-26T16:13:34", "doiPublishedTime": "2023-01-26T16:17:09", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39533/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/SSMI_SSMIS/L3C/v2.33/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 66212097204, "numberOfFiles": 18913, "fileFormat": "Data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9163/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66314/?format=api" ], "dataLineage": "The data record has been produced by the company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). ). The source of satellite Level 1 observations is the Fundamental Climate Data Record of Microwave Imager Radiances (https://doi.org/10.5676/EUM_SAF_CM/FCDR_MWI/V003) kindly provided by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF).\r\nContact: data.lst-cci@acri-st.fr", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12338/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192762/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33373/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39537, "uuid": "8d8613a3d67a4e76adfe94c94ede6a4f", "title": "Mass Concentration of the Non-Refractory Component of Ambient Aerosol Particles in Air Data from Aerosol Chemical Species Monitor (ACSM) at Manchester Air Quality Site, 2019-present", "abstract": "Mass Concentration of the Nitrate, Chloride, Sulphate, Ammonium and Organic Component of Ambient Aerosol Particles in Air measured at 7 metres above ground level by an Aerosol Chemical Species Monitor (ACSM) at the Manchester Air Quality Site (MAQS), from 2019 onwards, for the Integrated Research Observation System for Clean Air (OSCA) project.", "keywords": "OSCA, maqs, air quality, OSCA-AQ", "publicationState": "published", "dataPublishedTime": "2023-01-17T12:19:13", "doiPublishedTime": null, "updateFrequency": "monthly", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39538/?format=api", "dataPath": "/badc/osca/data/manchester/OSCA_MAQS_ACSM_non-refractory", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 31535171, "numberOfFiles": 210, "fileFormat": "NetCDF and CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10957/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3601/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65566/?format=api" ], "dataLineage": "Data is transfered directly from the instrument to the computer database, before being transferred to the general database, where it is processed using the Calibration data within the ACSM data. 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The digitized calving fronts are stored in geoJSON vector file format and include metadata information on the sensor and processing steps in the corresponding attribute table.\r\n\r\nThe CCI Calving Front Locations (CFL) v1.0 release contains one primary dataset, the calving front locations, and auxiliary files to describe the file product: locations.png and glaciers.geojson for visualizing the glaciers, README and DESCRIPTION text files about the product structure, and a visual example of what a calving front looks like. The Greenland CCI Calving Front Locations (CFL) v1.0 product is an experimental product using deep learning to automatically derive calving front locations for selected glaciers based on Sentinel-2 imagery at the end of the summer season.\r\n\r\nThe product was generated by S[&]T Norway and ENVEO.", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "citable", "dataPublishedTime": "2024-05-23T09:56:44", "doiPublishedTime": "2024-05-28T13:27:59", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41581/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ML_calving_front_locations/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3146980, "numberOfFiles": 16, "fileFormat": "txt, geojson, png" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11684/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by ENVEO (Environmental Earth Observation Information Technology GmbH) as part of the ESA CCI Greenland Ice Sheet project and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.\r\n\r\nData are produced within ESA Greenland CCI, stored at http://products.esa-icesheets-cci.org/", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12918/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192843/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/41686/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39550, "uuid": "dde78ab3388a4452b43ffe3e69e91fce", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Mass flow rate ice discharge (MFID) for Greenland from CCI IV, CCI SEC, and BedMachine v1.0", "abstract": "Mass flow rate ice discharge (MFID) for Greenland ice sheet sectors. This data set is part of the ESA Greenland Ice sheet CCI project. \r\n\r\nIt provides the following CSV files: \r\n- Mass flow rate ice discharge. Units are Gt yr^{-1}.\r\n- Mass flow rate ice discharge uncertainty. Units are Gt yr^{-1}.\r\n- Coverage for each sector at each timestamp. Unitless [0 to 1].\r\n\r\nIce discharge is calculated from the CCI Ice Velocity (IV) product, the CCI Surface Elevation Change (SEC) product (where it overlaps with the ice discharge gates), and ice thickness from BedMachine. Ice discharge gates are placed 10 km upstream from all marine terminating glacier termini that have baseline velocities of more than 150 m/yr. Results are summed by Zwally et al. (2012) sectors.\r\n\r\nThe methods, including description of \"coverage\", are described in Mankoff et al. 2020.", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2024-07-08T15:38:25", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43051/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_mass_flow_rate_ice_discharge/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 384604, "numberOfFiles": 8, "fileFormat": "csv, txt, png" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7282/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Ice discharge is calculated from the CCI Ice Velocity (IV) product, the CCI Surface Elevation Change (SEC) product (where it overlaps with the ice discharge gates), and ice thickness from BedMachine. Ice discharge gates are placed 10 km upstream from all marine terminating glacier termini that have baseline velocities of more than 150 m/yr. Results are summed by Zwally et al. (2012) sectors. The methods, including description of \"coverage\", are described in Mankoff et al. (2020; DOI: 10.5194/essd-12-1367-2020)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192853/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43079/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 39552, "uuid": "338774c1a9f34ce287f4cef9eb7bcdee", "title": "GloCAEM: Atmospheric electricity measurements at Universidad Nacional San Luis Gonzaga, Ica, Peru", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Boltek field meter at Universidad Nacional San Luis Gonzaga, Ica, Peru.", "keywords": "GloCAEM, GEC, electric potential, electric field, GCR", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "unknown", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39576/?format=api", "dataPath": "/badc/glocaem/data/ica/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 921, "numberOfFiles": 1, "fileFormat": "BADC-CSV" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3740/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected by project team and sent to CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20068/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24981/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192864/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39556/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2546/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 39557, "uuid": "60c28523d8c54c58831b2608164cf35e", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2022, v3.3.0.2022f", "abstract": "This is version v3.3.0.2022f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20230101_v3.3.1.2022f.nc. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.", "keywords": "HadISD, temperature, dewpoint, pressure, wind, speed, direction, cloud, precipitation", "publicationState": "citable", "dataPublishedTime": "2023-02-13T16:55:45", "doiPublishedTime": "2023-02-14T15:23:32", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39558/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-3-0-2022f", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53899151101, "numberOfFiles": 9569, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11515/?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/54776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62638/?format=api" ], "dataLineage": "HadISD the global sub-daily station dataset was produced by the Met Office Hadley Centre. It was derived from the Integrated Surface Dataset (ISD) from NOAA's National Climatic Data Center (NCDC). HadISD has been passed to the Centre for Environmental Data Analysis (CEDA) for archiving and distribution.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12404/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/13521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192893/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20043/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2561/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 39560, "uuid": "21a10e3de91d4d2da9a60489ba45df10", "title": "RisesAM-NEA-ERA: An hourly 1/12° regional simulation of the North East Atlantic Ocean sea surface waves (historic forcing based on 1979-2015 ERA interim)", "abstract": "This dataset covers a regional model of the North East Atlantic run for a historic reanalysis period (1979-2015) forced by ECMWF Re-Analysis winds (ERA-Interim, https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution around 1/12th degree. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to benchmark the model before investigating future wave conditions of Europe under climate change. The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)", "keywords": "surface, model, wave, ERA, interim, reanalysis, UK, climate, projections, UKCP18", "publicationState": "citable", "dataPublishedTime": "2023-04-04T14:05:29", "doiPublishedTime": "2023-04-06T08:38:10", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39561/?format=api", "dataPath": "/bodc/POL230027/RisesAM-OceanWaves/RisesAM-NEA-ERA", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 257913184293, "numberOfFiles": 445, "fileFormat": "Data are CF-Compliant NetCDF formatted data files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10965/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3741/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62627/?format=api" ], "dataLineage": "This dataset consists of regional and global simulations of wave data under different climate futures. The simulations were funded through European Union’s Seventh Programme for Research, Technological Development, and Demonstration project FP7-ENV-2013-Two-Stage-603396-RISES-AM, and used the ARCHER UK National Supercomputing Service. 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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The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to investigate the future wave conditions of Europe under climate change. There are 2 different climate futures explored; RCP8.5 and RCP4.5 (regional concentration pathways). The two scenarios are driven by different Representative Concentration Pathways (RCPs). The RCPs, RCP4.5 and RCP8.5, are labelled after a possible range of radiative forcing values in the year 2100 relative to pre-industrial values (+4.5, and +8.5 W/m2, respectively). The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. 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The simulations were funded through European Union’s Seventh Programme for Research, Technological Development, and Demonstration project FP7-ENV-2013-Two-Stage-603396-RISES-AM, and used the ARCHER UK National Supercomputing Service. 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/12461/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39562/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39572/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192938/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39563/?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": 39566, "uuid": "4d887826af00440fb04ec2cb85ad917a", "title": "RisesAM-Global-ERA: An hourly 1° global simulation of Ocean sea surface waves (historic forcing based on 1979-2015 ERA interim)", "abstract": "This dataset covers the world ocean and is run for a historic reanalysis period (1979-2015) forced by ECMWF Re-Analysis winds and sea-ice (ERA-Interim, https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution is around 0.8 degrees. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to benchmark the model before investigating future wave conditions under climate change. The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)", "keywords": "surface, model, wave, ERA, interim, reanalysis, UK, climate, projections, UKCP18", "publicationState": "citable", "dataPublishedTime": "2023-04-04T14:08:56", "doiPublishedTime": "2023-04-06T08:35:21", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39567/?format=api", "dataPath": "/bodc/POL230027/RisesAM-OceanWaves/RisesAM-Global-ERA", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 518403682131, "numberOfFiles": 445, "fileFormat": "Data are CF-Compliant NetCDF formatted data files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10967/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3744/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62627/?format=api" ], "dataLineage": "This dataset consists of regional and global simulations of wave data under different climate futures. The simulations were funded through European Union’s Seventh Programme for Research, Technological Development, and Demonstration project FP7-ENV-2013-Two-Stage-603396-RISES-AM, and used the ARCHER UK National Supercomputing Service. 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/12459/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39562/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39572/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192948/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39563/?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": 39570, "uuid": "a0b47bc07a8a4b628a463960eb2c161b", "title": "RisesAM-Global-clim: Hourly 1° global simulations of Ocean sea surface waves (climatological forcing based on 1970-2100) for 2 climate futures", "abstract": "This dataset covers the world ocean and it run for 2 climate futures. The climate projections (1970-2100) are forced by EC-Earth (https://ec-earth.org/) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution is around 0.8 degrees. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. There are 2 different climate futures explored; RCP8.5 and RCP4.5 (regional concentration pathways). The two scenarios are driven by different Representative Concentration Pathways (RCPs). The RCPs, RCP4.5 and RCP8.5, are labelled after a possible range of radiative forcing values in the year 2100 relative to pre-industrial values (+4.5, and +8.5 W/m2, respectively). The data set is produced to benchmark the model before investigating future wave conditions under climate change. The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)", "keywords": "surface, model, wave, ERA, interim, reanalysis, UK, climate, projections, UKCP18", "publicationState": "citable", "dataPublishedTime": "2023-04-04T14:10:14", "doiPublishedTime": "2023-04-06T08:12:05", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39571/?format=api", "dataPath": "/bodc/POL230027/RisesAM-OceanWaves/RisesAM-Global-clim", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3083830878847, "numberOfFiles": 2701, "fileFormat": "Data are CF-Compliant NetCDF formatted data files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10969/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3746/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62627/?format=api" ], "dataLineage": "This dataset consists of regional and global simulations of wave data under different climate futures. The simulations were funded through European Union’s Seventh Programme for Research, Technological Development, and Demonstration project FP7-ENV-2013-Two-Stage-603396-RISES-AM, and used the ARCHER UK National Supercomputing Service. 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/12458/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39562/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39572/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192968/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39563/?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": 39573, "uuid": "8b4c2455c27a4f0581e753be50ed94c7", "title": "UKCP projected future extreme sea levels at approximately 2 km spacing around the UK coastline for 2020-2100, using 21st century time-mean sea level projections", "abstract": "The data are projected extreme sea levels at approximately 2 km spacing around the UK coastline, including England, Wales, Scotland, Northern Ireland, and Isle of Man. The data were produced by the Met Office, using estimates of present-day extreme sea levels at all open-coast Coastal Flood Boundary point locations, provided by the Environment Agency and projections of 21st Century time-mean sea level change prepared at the Met Office. \r\n\r\nProjected extreme sea level values are described for 16 different annual probabilities of exceedance (return levels), ranging from 1:1 to 1:10,000, identified in the shapefile as ‘t1’ to ‘t10000’. Confidence levels relating to the 5% and 95% lower and upper bounds of confidence are included, identified in the shapefile with the prefix ‘c1_’ and ‘c3_’ respectively, as well as the 70% confidence level identified in the shapefile with the prefix ‘c2_’. \r\n\r\nThe data were produced to put the projected future mean sea level change in the context of the present-day extremes. The data were produced by combining the best estimates of present-day extreme sea levels with projections of mean sea level change. The data covers the period from 2020 to 2100 and is available for each decade (i.e., 2020, 2030... 2100).\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section.", "keywords": "UKCP, extreme sea level, UK", "publicationState": "published", "dataPublishedTime": "2023-03-14T10:12:47", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39774/?format=api", "dataPath": "/badc/ukcp18/data/marine-sim/ext-sea-lev-shp", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16441733, "numberOfFiles": 28, "fileFormat": "The data are provided as zipped shapefiles." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10970/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2303/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data provided by the UK Met Office", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26015/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192987/?format=api" ], "procedureAcquisition": null, "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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 39606, "uuid": "9c41e3aa67024bbdad796290a861e968", "title": "Large ensemble of global mean temperatures: 6-hourly HadAM4 model run data using the Climateprediction.net platform", "abstract": "Large ensembles of global temperature are provided for three climate scenarios: historical (2006-16), 1.5 C and 2.0 C above pre-industrial levels. Each scenario has 700 members (70 runs per year for 10-year periods) of 6-hourly mean temperatures at a resolution of 0.833 degrees x 0.556 degrees (longitude x latitude). The data was generated using the climateprediction.net (CPDN) climate simulation environment, to run the Met Office HadAM4 Atmosphere-only General Circulation Model (AGCM) from the UK Met Office Hadley Centre. Biases in simulated temperature were identified and corrected using quantile mapping with reference temperature data from ERA5 reanalysis. \r\n\r\nData were generated using the Met Office HadAM4 model at 6-hourly temporal resolution and 0.833 degrees x 0.556 degrees (longitude x latitude) over global domain. The data from each scenario is divided into 4 batches. Historic scenario (2006-2016): December-March data in Batch 889, April-May data in Batch 920, June-September data in Batch 901, October-November data in Batch 923. 1.5C scenario: December-March data in Batch 891, April-May data in Batch 921, June-September data in Batch 902, October-November data in Batch 924. 2.0C scenario: December-March data in Batch 895, April-May data in Batch 922, June-September data in Batch 903, October-November data in Batch 925.", "keywords": "HadAM4, Climateprediction.net", "publicationState": "citable", "dataPublishedTime": "2023-06-26T14:36:29", "doiPublishedTime": "2023-06-28T13:55:34.179546", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39607/?format=api", "dataPath": "/badc/deposited2023/CPDN_HadAM4", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1698725532892, "numberOfFiles": 8401, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10973/?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/62607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62611/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12536/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/39605/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193056/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40180/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39630, "uuid": "2b0261d03ae34e4abc8e32cb1a805887", "title": "UKCP projected future extreme sea levels at approximately 2 km spacing around the UK coastline for 2020-2300, using exploratory extended time-mean sea level projections", "abstract": "The data are projected extreme sea levels at approximately 2 km spacing around the UK coastline, including England, Wales, Scotland, Northern Ireland, and Isle of Man. The data were produced by the Met Office, using estimates of present-day extreme sea levels at all open-coast Coastal Flood Boundary point locations, provided by the Environment Agency and projections of exploratory extended time-mean sea level change prepared at the Met Office. \r\n\r\nProjected extreme sea level values are described for 16 different annual probabilities of exceedance (return levels), ranging from 1:1 to 1:10,000, identified in the shapefile as ‘t1’ to ‘t10000’. Confidence levels relating to the 5% and 95% lower and upper bounds of confidence are included, identified in the shapefile with the prefix ‘c1_’ and ‘c3_’ respectively, as well as the 70% confidence level identified in the shapefile with the prefix ‘c2_’. \r\n\r\nThe data were produced to put the projected future mean sea level change in the context of the present-day extremes. The data were produced by combining the best estimates of present-day extreme sea levels with projections of mean sea level change. The data covers the period from 2020 to 2300 and is available for each decade (i.e., 2020, 2030... 2300).\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section.", "keywords": "UKCP, extreme sea level, UK", "publicationState": "published", "dataPublishedTime": "2023-03-14T10:13:31", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39773/?format=api", "dataPath": "/badc/ukcp18/data/marine-sim/ext-sea-lev-expl-shp", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53336444, "numberOfFiles": 88, "fileFormat": "The data are provided as zipped shapefiles." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11004/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2303/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data provided by the UK Met Office", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26015/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193121/?format=api" ], "procedureAcquisition": null, "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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 39633, "uuid": "f9525557d49b4363adccd8e68c0893de", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of L'Aquila's vaisala-cl51 instrument deployed at Aquila, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of L'Aquila's vaisala-cl51 deployed at Aquila, Italy.\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: 0-20008-0-CEO.\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": "2023-01-31T20:08:43", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39632/?format=api", "dataPath": "/badc/eprofile/data/daily_files/italy/aquila/aquila-university-vaisala-cl51_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2798184382, "numberOfFiles": 1078, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10975/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3747/?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). 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/193133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193141/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39634/?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": 39638, "uuid": "f06e1510b56049559e87aa2f0db5fdcc", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Borssele Alfa, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Borssele Alfa, Netherlands.\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: 0-528-0-06317.\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": "2023-01-08T12:09:03", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39637/?format=api", "dataPath": "/badc/eprofile/data/daily_files/netherlands/borssele-alfa/knmi-lufft-chm15k_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2918252539, "numberOfFiles": 1095, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10976/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3748/?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/62346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62526/?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/193150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193158/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39639/?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": 39642, "uuid": "0078d944259049a4b1bc5947623f6e97", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.12 (v20230203)", "abstract": "Data for Figure 4.12 from Chapter 4 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 4.12 shows the projected near-term change of seasonal mean surface temperature.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in surface air temperature (2021–2040) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable tas includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, surface temperature", "publicationState": "citable", "dataPublishedTime": "2023-06-07T11:03:17", "doiPublishedTime": "2023-07-03T09:30:50.930259", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39643/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig12/v20230203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5727575, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10977/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3749/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?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": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193173/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39644/?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": 39645, "uuid": "11d45679506d44fda224d65326edcdb4", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.13 (v20230203)", "abstract": "Data for Figure 4.13 from Chapter 4 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 4.13 shows the projected near-term change of seasonal mean precipitation.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in precipitation (2021–2040) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable pr includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation", "publicationState": "citable", "dataPublishedTime": "2023-06-07T11:06:50", "doiPublishedTime": "2023-07-03T09:39:41.870467", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39646/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig13/v20230203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5723143, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10978/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3750/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?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/12550/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193186/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39647/?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": 39648, "uuid": "dce10ff4596241e190aaea9291cc4249", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.19 (v20230203)", "abstract": "Data for Figure 4.19 from Chapter 4 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 4.19 shows the projected mid- and long-term change of annual mean surface temperature.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file. \r\na) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2041-2060 relative to 1995-2014 in SSP1-2.6 \r\nb) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2081-2100 relative to 1995-2014 in SSP1-2.6 \r\nc) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2041-2060 relative to 1995-2014 in SSP3-7.0 \r\nd) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in surface air temperature (2041–2060 and 2081-2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable tas includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, surface temperature", "publicationState": "citable", "dataPublishedTime": "2023-06-07T13:52:55", "doiPublishedTime": "2023-07-03T09:47:01.536248", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39649/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig19/v20230203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7092435, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10979/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3751/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?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/12551/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193196/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39650/?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": 39651, "uuid": "9527d9be07c243599f00af5ab945c7ed", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.22 (v20230203)", "abstract": "Data for Figure 4.22 from Chapter 4 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 4.22 shows the projected long-term change of annual and zonal mean atmospheric temperature.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panel a in the file \r\n named Data_shown_in_figure_panel_a.nc and for panel b in the file named Data_shown_in_figure_panel_b.nc.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in air temperature (2081–2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file fig4_22a_ta.nc (panel a) includes the multi-model mean zonal mean temperature change as a function of latitude and pressure level for SSP1-2.6\r\n Data file fig4_22b_ta.nc (panel a) includes the multi-model mean zonal mean temperature change as a function of latitude and pressure level for SSP3-7.0\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, atmospheric temperature", "publicationState": "citable", "dataPublishedTime": "2023-06-07T11:19:20", "doiPublishedTime": "2023-07-03T09:51:36.240241", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39652/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig22/v20230203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4197888, "numberOfFiles": 5, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10980/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3752/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?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/12552/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193206/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39653/?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": 39654, "uuid": "34810c5e2d2047b487ade01830cac1f4", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.23 (v20230203)", "abstract": "Data for Figure 4.23 from Chapter 4 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 4.23 shows the projected long-term changes in seasonal mean relative humidity.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file. \r\n\r\na) Global projected spatial patterns of multi-model mean change in DJF seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP1-2.6\r\n b) Global projected spatial patterns of multi-model mean change in DJF seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n c) Global projected spatial patterns of multi-model mean change in JJA seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP1-2.6\r\n d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in DJF and JJA seasonal mean relative humidity (2081-2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995-2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable hurs includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, relative humidity", "publicationState": "citable", "dataPublishedTime": "2023-06-07T11:25:25", "doiPublishedTime": "2023-07-03T09:55:29.933183", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39655/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig23/v20230203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5126107, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10981/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3753/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63526/?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/12553/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193216/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39656/?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": 39661, "uuid": "ebc32b4b3e3d4e1788bbdd66b6abb5de", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_CASIM-100_Cloudnet)", "abstract": "Met Office Unified Model single-site (Oden) output during MOCCHA. These model and observation data are used in McCusker et al. : Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. \r\n\r\n Model data from the Met Office Unified Model are in directory 'um_model_data/'. Data are hourly data taken from grid box closest to ship location. Where the ship covers more than one grid box within an hour period, data are averaged from all grid boxes crossed. All data files are in a netCDF format, with one file per day. Rose suite ID: u-cc278. Model options include: \r\n Unified Model version - 11.3, \r\n CASIM microphysics + cloud scheme (i_cld_vn = 1). \r\n Double-moment cloud microphysics - droplet activation = Abdul-Razzak and Ghan (2000); ice nucleation = Cooper (1986). \r\n 3 modes of soluble aerosol, no insoluble aerosol. \r\n Accumulation mode soluble aerosol - num = 1.00e8 /m3, mass = 1.50e-9 kg/kg. \r\n Aitken and coarse modes = 0. \r\n No aerosol processing. \r\n Updated RHcrit profile used in Unified Model vn11.4. \r\n Uses sea ice options from the global model (alpham = 0.72, dtice = 2.0). \r\n U and V wind components interpolated on to common vertical grid. \r\n\r\n Model data from directory um_model_data/ are subsequently passed through the Cloudnet algorithm to produce calibrated model data that may be used for direct comparisons with observations. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. Note that the latitude/longitude relevant for each date in question can be found in these Cloudnet files. \r\n\r\nIn directories:\r\n iwc-Z-T-metum-grid/ - data include ice water content and total ice water path for observations and model. \r\n lwc-scaled-metum-grid/ - data include cloud liquid water content and liquid water path for observations and model. \r\n cloud-fraction-metum-grid/ - data include cloud fractions by volume for observations and model.", "keywords": "MOCCHA, Met Office, Unified Model, Cloudnet, Oden, cloud microphysics, aerosol", "publicationState": "citable", "dataPublishedTime": "2023-03-07T11:37:49", "doiPublishedTime": "2023-03-07T12:01:16.569499", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39662/?format=api", "dataPath": "/badc/deposited2023/moccha_UM_CASIM-100_Cloudnet", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23729452, 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Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64077/?format=api" ], "dataLineage": "Model data were generated using the ECMWF Integrated Forecasting System at 9km horizontal resolution on a global grid. NetCDF generated from original data by Ewan OConnor (ewan.oconnor@fmi.fi) using cnmodel2nc on cloudnet.fmi.fi. Combined from n=38 lat/lon files at 2019-09-03 12:15:02 by Gillian Young McCusker (G.Y.McCusker@leeds.ac.uk) using Python (Iris and netCDF4), then passed on to the CEDA for long-term archiving. Cloudnet data were generated by Jutta Vuellers (j.vuellers@leeds.ac.uk)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12414/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193274/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39673/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39674, "uuid": "180f1c51a22f4fc48c947d33f6c0815e", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_RA2T_Cloudnet)", "abstract": "Met Office Unified Model single-site (Oden) output during MOCCHA. These model and observation data are used in McCusker et al.: Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. \r\n\r\n Model data from the Met Office Unified Model are in directory 'um_model_data/'. Data are hourly data taken from grid box closest to ship location. Where the ship covers more than one grid box within an hour period, data are averaged from all grid boxes crossed. All data files are in a netCDF format, with one file per day. Rose suite ID: u-cc568. Model options include: \r\n Cloud microphysics: Both the global model and LAM use the PC2 (Wilson et al., 2008) cloud scheme (i_cld_vn = 2); specifically, the LAM uses the RA2T_CON configuration. \r\n Also set l_subgrid_qcl_mp to .true. to allow for turbulent production of mixed-phase cloud. \r\n Extended boundary layer diagnostic list. \r\n U and V wind components interpolated on to common vertical grid. \r\n\r\n Model data from directory um_model_data/ are subsequently passed through the Cloudnet algorithm to produce calibrated model data that may be used for direct comparisons with observations. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. Note that the latitude/longitude relevant for each date in question can be found in these Cloudnet files. \r\nIn directories:\r\n iwc-Z-T-metum-grid/ - data include ice water content and total ice water path for observations and model. \r\n lwc-scaled-metum-grid/ - data include cloud liquid water content and liquid water path for observations and model. \r\n cloud-fraction-metum-grid/ - data include cloud fractions by volume for observations and model.", "keywords": "MOCCHA, Met Office, Unified Model, Cloudnet, Oden, cloud microphysics, aerosol", "publicationState": "citable", "dataPublishedTime": "2023-03-07T11:46:07", "doiPublishedTime": "2023-03-07T12:00:54.030538", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39675/?format=api", "dataPath": "/badc/deposited2023/moccha_UM_RA2T_Cloudnet", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21811559, "numberOfFiles": 126, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10987/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3759/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62580/?format=api" ], "dataLineage": "Model data were generated using the Met Office Unified Model (UM) at 1.5km horizontal resolution over a 500x500 domain centred on 86.625N, 30E. Data has been converted to netCDF by Gillian Young McCusker (G.Y.McCusker@leeds.ac.uk) using Python (Iris/netCDF4), then passed on to the CEDA for long-term archiving. Cloudnet data were generated by Jutta Vuellers (j.vuellers@leeds.ac.uk)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12413/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193289/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39677/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39694, "uuid": "27e04957bfa24c6585c388f2cfe1f844", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. 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The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. 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The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63525/?format=api" ], "dataLineage": "Data were generated using the GEOS-Chem Chemical Transport Model v12.6.1 (CTM) at 0.5°x0.625° horizontal resolution over the domain 15W-5E, 45N-65N. Model output provided by L. Fakes in February 2023.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39712/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39714/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193429/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39713/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39715, "uuid": "c4031dd3227c4bceb6eae480d2a47a0c", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.7 (v20230210)", "abstract": "Input Data for Figure 6.7 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\n\r\nFigure 6.7 shows distribution of PM2.5 composition mass concentration (in μg m-3) for the major PM2.5 aerosol components.\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 Szopa, 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 9 panels with input data provided for all panels in subdirectories named Asia, Europe, North_America, SPARTAN and stations.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains monthly averaged major PM2.5 aerosol component (sulphate, nitrate, ammonium, sodium, chloride, organic carbon and elemental carbon) measurements for the following regions:\r\n \r\n - Latin American and Caribbean\r\n - North America (rural)\r\n - North America (urban)\r\n - Europe\r\n - Eurasia\r\n - Eastern Asia\r\n - Southern Asia\r\n - South-East Asia and Developing Pacific\r\n - Asia-Pacific Developed\r\n\r\n\r\nAdditionally, input file for separating the world in individual regions following the IPCC Sixth Assessment Report Working Group III (AR6 WGIII) is provided as AR6WG3_Atlas_IntermedRegions_1.0x1.0.nc\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Instructions in how to relate the input data with the figure in the 'Notes on reproducing the figure from the provided data' field.\r\n\r\nPM2.5 stands for particulate matter in the air that are 2.5 micrometers or less in diameter.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The data is used as input of the code (violin_regions.py and worldmap_AR6_nocoasts.py). \r\n\r\nviolin_regions.py: Python code that creates the regional violin subplots. The user needs to run the code for each subregion separately by activating the lines 6-17 accordingly.\r\n\r\nworldmap_AR6_nocoasts.py: Python code that creates the world map in the center of the figure, including the location of the observational sites used.\r\n\r\nEach of these scripts work independently. The nine individual plots produced by violin_regions.py can be collated with the map created by worldmap_AR6_nocoasts.py to produce the figure 6.7. A link to the code archived on Zenodo are provided in the Related Documents section of this catalogue record.\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 code archived on Zenodo", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, PM2.5, aerosol components, Chapter 6, Figure 6.7, short-lived climate forcers", "publicationState": "citable", "dataPublishedTime": "2023-05-16T15:16:53", "doiPublishedTime": "2023-07-03T14:19:39.858119", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39716/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/inputdata_ch6_fig07/v20230210", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 42605878, "numberOfFiles": 42, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10992/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3761/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62558/?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/12568/?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/193438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193445/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39717/?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": 39718, "uuid": "dc11fff6fda04b1d82e317132b93a3bf", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.8 (v20230213)", "abstract": "Input Data for Figure 6.8 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\n\r\nFigure 6.8 depicts the time evolution of changes in global mean aerosol optical depth (AOD) at 550 nm\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 Szopa, 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 List of data provided\r\n ---------------------------------------------------\r\n This dataset contains netcdf files of 3-dimensional (time,lat,lon) aerosol optical depth (od550aer) time-series from 1850 to 2014 from the historical simulations performed by 16 CMIP6 models. Multiple ensemble members are included for some models.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Instructions in how to relate the input data with the figure in the 'Notes on reproducing the figure from the provided data' field.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n This data file should be used in conjunction with the code Fig6.8_trend_plot_AOD_rolling_10change_volcanic_mask.py \r\nThis code creates the AOD timeseries (1850-2014) using the ensemble mean of individual CMIP6 models output in AOD_trend.png and is linked in the Related Documents section of this catalogue record.\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 code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, aerosol optical depth, AOD, historical simulations, Chapter 6, Figure 6.8, short-lived climate forcers", "publicationState": "citable", "dataPublishedTime": "2023-05-16T15:26:17", "doiPublishedTime": "2023-07-03T14:25:59.989912", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39719/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_06/inputdata_ch6_fig08/v20230213", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1581196, "numberOfFiles": 172, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10993/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3762/?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/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71632/?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/12569/?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/193449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193456/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39720/?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": 39721, "uuid": "5ed073b87dbc45d6a66d7c704caef01d", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.24 (v20230213)", "abstract": "Data for Figure 4.24 from Chapter 4 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 4.24 shows the projected long-term changes in seasonal mean precipitation.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n a) Global projected spatial patterns of multi-model mean change in DJF seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP1-2.6 b) Global projected spatial patterns of multi-model mean change in DJF seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP3-7.0 c) Global projected spatial patterns of multi-model mean change in JJA seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP1-2.6 d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable pr includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation", "publicationState": "citable", "dataPublishedTime": "2023-06-07T11:30:49", "doiPublishedTime": "2023-07-03T10:00:12.061395", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39722/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig24/v20230213", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5684527, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10994/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3763/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62361/?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/12554/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193466/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39723/?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": 39727, "uuid": "b1d79f8dea6244ea943d49040f0f9f6d", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.25 (v20230213)", "abstract": "Data for Figure 4.25 from Chapter 4 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 4.25 shows the projected long-term changes in seasonal mean sea level pressure.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n a) Global projected spatial patterns of multi-model mean change in DJF seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP1‑2.6\r\n b) Global projected spatial patterns of multi-model mean change in DJF seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP3‑7.0\r\n c) Global projected spatial patterns of multi-model mean change in JJA seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP1‑2.6\r\n d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP3‑7.0\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable psl includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level pressure", "publicationState": "citable", "dataPublishedTime": "2023-06-07T11:33:26", "doiPublishedTime": "2023-07-03T10:07:40.466918", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39728/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig25/v20230213", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5607551, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10996/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3765/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63360/?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/12555/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193486/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39729/?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": 39730, "uuid": "e397fe6f20024295b095e2e3ca1e9f04", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.41 (v20230213)", "abstract": "Data for Figure 4.41 from Chapter 4 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 4.41 shows high-warming storylines for changes in annual mean temperature.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has eight panels, with data provided for all panels in two files one including data for panels a, c, e, g and the other for panels b, d, f, h.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains temperature change patterns for the multi model means and different low-likelihood high warming storylines.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Data_shown_in_figure_panels_aceg.nc includes the temperature change pattern for the four panels as different variables called panelA, panelC, panelE and panel G, respectively.\r\n Data file Data_shown_in_figure_panels_bdfh.nc includes the temperature change pattern for the four panels as different variables called panelB, panelD, panelF and panel H, respectively.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, temperature", "publicationState": "citable", "dataPublishedTime": "2023-06-07T12:03:00", "doiPublishedTime": "2023-07-03T10:25:52.871081", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39731/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig41/v20230213", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2088562, "numberOfFiles": 5, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10997/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3766/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62547/?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/12559/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193496/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39732/?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": 39733, "uuid": "e5e7afe5355a439e8d63be47ee7467c8", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.42 (v20230213)", "abstract": "Data for Figure 4.42 from Chapter 4 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 4.42 illustrates high-warming storylines for changes in annual mean precipitation.\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 Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has seven panels, with data provided for panels a-c and e-f in two separate files.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains precipitation change patterns for the multi model means and different low-likelihood high warming storylines, and a low and high change storyline reflection the uncertainty due to model response and unforced internal variability at the grid point level.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Data_shown_in_figure_panels_abc.nc includes the precipitation change pattern for the three panels as different variables called panelA, panelB, and panelC, respectively.\r\n Data file Data_shown_in_figure_panels_ef.nc includes the precipitation change pattern for the two panels as different variables called panelE and panelF, respectively.\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 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Chapter 4, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation", "publicationState": "citable", "dataPublishedTime": "2023-06-07T12:04:55", "doiPublishedTime": "2023-07-03T10:29:45.198230", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39734/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_04/ch4_fig42/v20230213", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1013786, "numberOfFiles": 5, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10998/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3767/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63359/?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/12560/?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/32719/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193506/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39735/?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": 39745, "uuid": "27273a9683be4c6991911c66535334ca", "title": "UK and Europe Methane (CH4) surface flux inverse modelling estimates for 2015 - 2019", "abstract": "Monthly CH4 flux estimates for the UK and western Europe, derived from inverse modelling work by the Atmospheric Chemistry Research Group (ACRG) at the University of Bristol.\r\nPosterior flux estimates were derived from a Markov Chain Monte Carlo (MCMC) inversion process, using 4-hourly atmospheric mole fraction observations of CH4 from UK observation sites Mace Head (MHD), Tacolneston (TAC), Ridge Hill (RGL), Bilsdale (BSD) and Heathfield (HFD) and a priori estimate of CH4 emissions from the UK Greenhouse Gas (UKGHG) and Emissions Database for Global Atmospheric Research (EDGAR) models. Total CH4 flux estimates at a resolution of 0.23 degrees latitude x 0.35 degrees longitude over 10.7 to 79.3 degrees north and -97.9 to 39.7 degrees east are provided for 2015 - 2019.", "keywords": "Methane", "publicationState": "published", "dataPublishedTime": "2023-02-16T09:23:11", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39746/?format=api", "dataPath": "/badc/deposited2023/ACRG_monthly_methane_inversion/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 110001889, "numberOfFiles": 3, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11000/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3769/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66301/?format=api" ], "dataLineage": "CH4 flux estimates produced during 2021 and reprocessed in Nov 2022 by Alice Ramsden before uploading to CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39747/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193588/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39748/?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": 39750, "uuid": "bb759548ee444168b4554569741c8e61", "title": "UKCP18 projected future extreme sea levels at selected tide gauge locations for 2020-2300, using exploratory extended time-mean sea level projections", "abstract": "The data are projected extreme sea levels at 46 UK tide gauge locations. The data were produced by the Met Office, using estimates of present-day extreme sea levels provided by the Environment Agency and projections of exploratory extended time-mean sea level change prepared at the Met Office.\r\n\r\nProjected extreme sea level values are described for 16 different annual probabilities of exceedance (return levels), ranging from 1:1 to 1:10,000. Confidence levels relating to the 5% and 95% lower and upper bounds of confidence are included.\r\n\r\nThe data were produced to put the projected future mean sea level change in the context of the present-day extremes. The data were produced by combining the best estimates of present-day extreme sea levels with projections of mean sea level change. The data covers the period from 2020 to 2300 and is available for each decade (i.e., 2020, 2030... 2300).\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section.", "keywords": "UKCP18, extreme sea level, UK", "publicationState": "published", "dataPublishedTime": "2023-03-14T10:11:53", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39772/?format=api", "dataPath": "/badc/ukcp18/data/marine-sim/ext-sea-lev-expl", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 338311780, "numberOfFiles": 4, "fileFormat": "Data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11003/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2303/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62546/?format=api" ], "dataLineage": "Data provided by the UK Met Office", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26015/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193605/?format=api" ], "procedureAcquisition": null, "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": 39752, "uuid": "62b675f929974746bbf72fdc773cf0ec", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Section Box TS.1, Figure 1 (v20230203)", "abstract": "Data for Figure CSB TS.1, 1 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\nCross-Section Box TS.1 Figure 1, shows Earth's surface temperature history and projections to 2100\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 five panels with data provided for panels a, b and c from the underlying chapter figures (2.11, 4.19). Data for panel e is from Figure 4.11 and a link is provided to data and code in the Related Documents section.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global surface temperature changer over the Holocene divided into three time scales: (i) 12,000 to 1000 years ago (10,000 BCE to 1000 CE) in 100-year time steps, (ii) 1000 to 1900 CE, 10-year smooth, and (iii) 1900 to 2020 CE. All temperatures are relative to 1850–1900.\r\n - Spatially resolved temperature trends (°C per decade) for HadCRUTv5 over 1981–2020\r\n - Multi-model temperature mean projected changes from 1995–2014 to 2081–2100 in the SST3-7.0 scenario.\r\n - Temperature from instrumental data for 1850–2020.\r\n - Assessed projected temperature change in 20-year running mean global surface temperature for five scenarios (central estimate, very likely range for SSP1-2.6 and SSP3-7.0), relative to 1995–2014 and 1850–1900.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Panels (a), (c) and the top part of (b) are from Figure 2.11.\r\n - The bottom part of (b) is from Figure 4.19.\r\n - Panel (e) is from Figure 4.11.\r\n\r\nPanel a (from Figure 2.11 panel a):\r\n- Figure_2_11a-PAGES_2k_Consortium.csv (center) \r\n- Figure_2_11_panel_a.csv (right)\r\n\r\n\r\n Panel b (upper part from Figure 2.11 input data)\r\n- IndermediateData_Figure-2_11-HadCRUT_significance_overlay_1981-2020.txt\r\n- IntermediateData_Figure-2_11-HadCRUT_significance_overlay_1900-1980.txt\r\n- IntermediateData_Figure-2_11-HadCRUT_trends_1900-1980.txt\r\n- IntermediateData_Figure-2_11-HadCRUT_trends_1981-2020.txt\r\n- Figure_2_11-notes_on_HadCRUT_trend_files.pdf\r\n\r\n Panel b (lower part from Figure 4.19)\r\n- ‘Data_shown_in_figure.nc’\r\n\r\n\r\n Panel c (from Figure 2.11 panel c input data)\r\n- Figure_2_11c-lower_panel.csv (lower)\r\n- Figure_2_11c-lower_panel.xlsx : same as Figure_2_11c-lower_panel.csv but with the format used by the code that generates the figure.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel d:\r\n\r\nThe data lines are single ensemble members of SSP2-4.5 from BCC-CSM2-MR, FGOALS-f3-L, MPI-ESM1-2-HR, MPI-ESM1-2-LR, selected on the criterium that they have a diagnosed ECS less than 0.1K away from 3.0.\r\n\r\nThe CMIP6 repository is identical to the one used for Box 4.1 figure 1. The same 39 models with historical simulations are plotted. HadCRUT5 is the same reference as for Box 4.1 figure 1. Assessed GSAT is the same as produced by the figure 4.11 code.\r\n\r\nNotes on HadCRUT trend maps\r\nFor each time period, there are two plain text files: one showing the trend values (in °C per decade), the other an indicator of significant (1 = significant, 0 = non-significant, -99 = missing data). Gridpoints with insufficient data for trend calcula)on are shown with a trend of -999.0. The values are on a 5-degree grid, with rows from longitude -177.5 to 177.5 and columns from latitudes -87.5 to 87.5.\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 - Links to the report components of the underlying chapter figures from which part of this figure was generated (Chapter 2 and Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1\r\n- Link to figure 4.11 data stored on WDC-Climate\r\n - Link to the code for figure 4.11, archived on Zenodo.", "keywords": "Global surface temperature, paleo temperature, global temperature projection, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-06-09T09:23:35", "doiPublishedTime": "2023-09-26T14:06:49.935648", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39753/?format=api", "dataPath": "/badc/ar6_wg1/data/TS/CSB_TS1_fig1/v20230203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7306036, "numberOfFiles": 15, "fileFormat": "Data are netCDF, csv and txt formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11002/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3770/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62360/?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/12692/?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/193634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195829/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39754/?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": 39759, "uuid": "7b3d379fc1f040978df4806c6775a0df", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.5 (v20230221)", "abstract": "Input Data for Figure 7.5 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 7.5 shows net aerosol effective radiative forcing (ERF) from 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 1 panel, with input data provided for this panel.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\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\nThe headline AR6 assessment of –1.3 [–2.0 to –0.6] W m–2 is highlighted in purple for 1750–2014 and compared to the AR5 assessment of –0.9 [–1.9 to –0.1] W m–2 for 1750–2011. The evidence comprising the AR6 assessment is shown below this (shown in brackets in the list of data provided). \r\n\r\nEstimates from individual CMIP5 (Zelinka et al., 2014) and CMIP6 (Smith et al., 2020b and Table 7.6) models are depicted by blue and red crosses respectively. \r\nFor each line of evidence the assessed best-estimate contributions from ERFari and ERFaci are shown with darker and paler shading respectively. \r\nThe observational assessment for ERFari is taken from the IRFari. \r\nUncertainty ranges are represented by black bars for the total aerosol ERF and depict very likely 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 7.5\r\n \r\n - Data file: table7.6.csv\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\nERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\nIRFari stands for Instantaneous 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 of the Chapter 7 GitHub repository. \r\nThe notebook to produce this figure uses Table 7.6 from the report chapter and data from Zelinka et al., 2014 written into the code.\r\nTo reproduce the figure from the input data provided here ('table7.6.csv'), you will need to edit the path in box 5 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 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, aerosols, observations, CMIP6, CMIP5, effective radiative forcing", "publicationState": "citable", "dataPublishedTime": "2023-05-31T14:37:23", "doiPublishedTime": "2023-07-06T09:54:46.709147", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39760/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_07/inputdata_ch7_fig05/v20230221", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5384, "numberOfFiles": 4, "fileFormat": "Data are CSV formatted" }, "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/12633/?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/193663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193671/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39583/?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": 39765, "uuid": "df93e92a3adc46b9a5c4bd3a547cd242", "title": "3D Displacements and Strain from the 2023 February Turkey Earthquakes, version 1", "abstract": "This data set contains strain, motion magnitude, 3D displacements, and surface slip distributions from the 2023 February Türkiye Earthquakes. COMET presents 0.001 degree (~100 m) resolution 3D displacement fields, with associated uncertainties, jointly inverted from 4 tracks of Sentinel-1 range and azimuth offsets and a set of north and east displacements from Sentinel-2 pixel tracking. From the 3D displacement fields, we calculate 0.001-degree resolution horizontal motion magnitudes, from which we extract surface slip distribution along the two faults ruptured during the Mw7.8 and Mw7.5 earthquakes. Further calculation of a 0.01-degree resolution strain field from the east and north displacement fields highlights the surface ruptures caused by the two earthquakes.", "keywords": "COMET, Sentinel 1, Sentinel 2", "publicationState": "citable", "dataPublishedTime": "2023-03-03T15:35:59", "doiPublishedTime": "2023-03-14T15:47:11.077377", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39766/?format=api", "dataPath": "/neodc/comet/publications_data/Turkey_earthquake/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4982772539, "numberOfFiles": 74, "fileFormat": "These data are provided in GeoTIFF (.tif) or png format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11005/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3771/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).\r\nData quality: Quantitative offset and Cartesian motion uncertainties are provided with the data. The northern half of the scene is noisier than the south due to snow cover. The Cartesian motions have mode uncertainties of 0.03 m for the east and up components and 0.06 m for the north component. The median and mean uncertainties of the 3 components are ~0.3 m and ~1 m, respectively.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12421/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193695/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39767/?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": 39769, "uuid": "e046adc115b04395937e793c9f3dbcb1", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure TS.12 (v20230301)", "abstract": "Input data for Figure TS.12 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.12 shows land-related changes relative to the 1850-1900 as a function of global warming levels. \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 six panels, with input data provided for all panels in subdirectories named Extremes, ModelSnow/sncbin and WaterCyclePanels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Relative frequency and intensity changes of 1-in-10- and 1-in-50-year extreme daily heat (TXx) in CMIP6 models (ScenarioMIP) with respect to 1850-1900. Medians and 5, 17, 83, 95 percentiles.\r\n - Relative frequency and intensity changes of 1-in-10- and 1-in-50-year extreme daily precipitation rates (Rx1day) in CMIP6 models (ScenarioMIP) with respect to 1850-1900. Medians and 5, 17, 83, 95 percentiles.\r\n - Relative frequency and intensity changes of 1-in-10-year drought events in CMIP6 models (ScenarioMIP) with respect to 1850-1900. Medians and 5, 17, 83, 95 percentiles.\r\n - Monthly NH snow cover extent changes (in %), dependent on the GWL (with respect to 1850-1900), for CMIP6 models (historical + ScenarioMIP), with respect to snow cover extent at 0°C GWL (1850-1900)\r\n - Average precipitable water (annual mean), precipitation rate (annual mean + interannual variability), and runoff (annual mean + interannual variability) over tropical land (|latitude|<30°), in the CMIP6 models that reach +5°C GWL in SSP5-8.5.\r\n - Average precipitable water (annual mean), precipitation rate (annual mean + interannual variability), and runoff (annual mean + interannual variability) over tropical land (|latitude|>30°), in the CMIP6 models that reach +5°C GWL in SSP5-8.5.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Data file: Extremes/TXx_freq_change_10_year_event.csv; relates to the orange clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/TXx_intens_change_10_year_event.csv; relates to the orange thermometer symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/TXx_freq_change_50_year_event.csv; relates to the brown clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/TXx_intens_change_50_year_event.csv; relates to the brown thermometer symbols and small orange 3-pronged symbols above and below.\r\n \r\n Panel b:\r\n - Data file: Extremes/Rx1day _freq_change_10_year_event.csv; relates to the orange clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/Rx1day _intens_change_10_year_event.csv; relates to the orange rain cloud symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/Rx1day _freq_change_50_year_event.csv; relates to the brown clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/Rx1day _intens_change_50_year_event.csv; relates to the brown rain cloud symbols and small orange 3-pronged symbols above and below.\r\n \r\n Panel c:\r\n - Data file: Extremes/drought _freq_change_10_year_event.csv; relates to the orange clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/drought _intens_change_10_year_event.csv; relates to the orange drop symbols and small orange 3-pronged symbols above and below.\r\n \r\n Panel d:\r\n Data files: ModelSnow/sncbin/sncbin_{model}_historical_ssp{xyy}.nc. For each model and scenario, these files contain a table that gives the snow cover extent changes for each month of the year and for 0.2°C-wide temperature bins. The colours represent the 5 scenarios (see legend, standard IPCC scenario colour code). Each dot represents one GWL (0.2°C bins) for one model and one scenario. The linear multi-model regression lines are coloured dependent on the scenario they represent.\r\n\r\n The filenames have been changed from the GitHub for archival with '_ssp' in the filename replacing the original '+ssp'.For example, file 'sncbin_BCC-CSM2-MR_historical_ssp126.nc' is named 'sncbin_BCC-CSM2-MR_historical+ssp126.nc' on GitHub. This needs to be changed back when plotting with the code or amended in the code. \r\n\r\n Panel e:\r\n - Data files: WaterCyclePanels/Hydro_vars_change_20210201_derived_tropic.json. Multi-model mean precipitable water, precipitation, and runoff (annual mean and interannual variability (standard deviation)).\r\n Left part of the panel:\r\n * Black full line: Precipitable water, annual mean, multi-model mean\r\n * Brown full line: Runoff, annual mean, multi-model mean\r\n * Brown dashed line: Runoff, interannual variability, multi-model mean\r\n * Blue full line: Precipitation, annual mean, multi-model mean\r\n * Blue dashed line: Precipitation, interannual variability, multi-model mean\r\n Right part of the panel: 17-83% inter-model ranges for the +5°C GWL.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThis figure is plotted using python scripts which are archived on Zenodo at the link provided in the 'Related Documents' section of this catalogue record. A link to the GitHub repository for this figure is also provided. Please note that the filenames of the net-cdf files in ModelSnow/ have been changed from '+ssp' to '_ssp' which also needs to be amended in the code when running with these input files.\r\n\r\n Panel a:\r\n The Python script Extremes/TS2-Land-Extremes-202110.py reads the csv data sheets and plots the panel.\r\n\r\nPanel b:\r\n The Python script Extremes/TS2-Land-Extremes-202110.py reads the csv data sheets and plots the panel.\r\n\r\nPanel c:\r\n The Python script Extremes/TS2-Land-Extremes-202110.py reads the csv data sheets and plots the panel.\r\n\r\nPanel d:\r\n The Python script ModelSnow/AR6TS2-Snow.py reads the net-cdf data and plots the panel.\r\n\r\nPanel e:\r\n The Python script WaterCyclePanels/TS12-WaterCycle.py reads the json data sheets and plots the panel.\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 TS_Fig12 GitHub repository", "keywords": "Extremes, land, hot (TXx), GWL, frequency, intensity, CMIP6, ScenarioMIP, daily precipitation (Rx1day), drought, normalized change of annual mean soil moisture, Northern hemisphere snow cover extent, spring (March-May), Hydrological changes on tropical land, precipitable water, precipitation, runoff, SSP5-8.5, Hydrological changes on extratropical land, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-06-05T13:30:53", "doiPublishedTime": "2023-07-27T13:38:34.367401", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39770/?format=api", "dataPath": "/badc/ar6_wg1/data/TS/inputdata_TS_12/v20230301", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1134270, "numberOfFiles": 112, "fileFormat": "Data are netCDF, csv and json formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11006/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3772/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62544/?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/12655/?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/193703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193717/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39771/?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": 39775, "uuid": "d54f2a1e4d2f42e68c10e2b11668dcd6", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for CCB 9.1, Figure 1 (v20230310)", "abstract": "Input Data for CCB 9.1, Figure 1 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCross Chapter Box 9.1, Figure 1 shows observed and simulated regional probability ratio of marine heatwaves (MHWs) for the 1985-2014 period and for the end of the 21st century under two different greenhouse gas emissions 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\n Fox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. 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. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with input data provided for all panels in the main directory. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Pre-processed annual timeseries of global ocean heat content change (ZJ) and global thermal expansion (mm) for the period 1870 to 2020. \r\n\r\n Timeseries are global integrals over the following vertical layers: 0-300 m; 0-700 m; 0-2000 m; 700-2000 m; > 2000 m; Full-depth.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a: global ocean heat content change (ZJ) for the layers 0-700 m, 700-2000 m and > 2000 m are represented by the blue shaded regions as indicated in the figure legend.\r\n Panel b: global thermal expansion (mm) for the layers 0-700 m, 700-2000 m and > 2000 m are represented by the blue shaded regions as indicated in the figure legend.\r\n\r\nFor files 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m.csv' and 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m_error.csv', 'more_than' has replaced '>' from the original filenames for archival. \r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n These files contain the data used as input to the code used to generate the ensemble assessment time series of ocean heat content (OHC) change and global thermal expansion (ThSL) that were developed for the IPCC AR6 WG1 report.\r\n\r\n\r\nThe Python script used is called: compute_OHC_ThSL_ensemble_FGD_python3.py. The link to the code, archived on Zenodo, is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\nThe actual file used as input data to the code is in a non proprietary format (AR6_GOHC_GThSL_timeseries_MDP_2021-01-20.mat) and is archived on Zenodo together with the code. The files archived here contain the same information but in a csv format.\r\n\r\n\r\nTo run the code, you will need to edit the paths for plotdir, savedir and datadir based on your local directory structure. \r\n\r\n\r\nOn running the code, the script creates two *.pickle files and corresponding *.csv files that contain the ensemble estimates of OHC and ThSL. It also generates four figure files that show the original input timeseries and the ensemble estimate, following the approach described by Palmer et al [2021].\r\n\r\n\r\nPre-processed individual ensemble member timeseries are available in *.csv format in the Supplementary Materials of Kuhlbrodt et al [in press]. Full citation: T. Kuhlbrodt, A. Voldoire, M.D. Palmer, O. Geoffroy and R.E. Killick “Historical ocean heat uptake in two pairs of CMIP6 models: global and regional perspectives”, Journal of Climate, in press.\r\n\r\nPlease note that for the files 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m.csv' and 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m_error.csv' CEDA staff were required to change the filenames in order to align with archive naming conventions. The original file names were 'AR6_OHC_timeseries_MDP_2021-01-20_>2000m.csv' and 'AR6_OHC_timeseries_MDP_2021-01-20_>2000m_error.csv'. \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 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "global ocean heat content, global thermal expansion, ocean observations, in situ observations, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis", "publicationState": "citable", "dataPublishedTime": "2023-06-07T14:56:06", "doiPublishedTime": "2023-09-26T14:55:13.226492", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39776/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_09/inputdata_ccb9_fig1/v20230310", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 227677, "numberOfFiles": 15, "fileFormat": "Data are csv formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11007/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3773/?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 converted from MATLAB to csv format.\r\nCertain files renamed by CEDA in order to align with archive naming conventions. \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/12694/?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/32725/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193754/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39777/?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": 39778, "uuid": "e53831e4dfec4537b7cc93d53ab94f4c", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppA-assim\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Assimilation run paralleling the historical simulation, which may be used to generate hindcast initial conditions\" (dcppA-assim) experiment. These are available at the following frequency: Omon. The runs included the ensemble members: r10i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-MM, dcppA-assim, Omon", "publicationState": "published", "dataPublishedTime": "2023-03-13T11:39:15.278674", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39779/?format=api", "dataPath": "/badc/cmip6/data/CMIP6/DCPP/MOHC/HadGEM3-GC31-MM/dcppA-assim", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5905935608506, "numberOfFiles": 7201, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11008/?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/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27829/?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/50568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50570/?format=api", 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(MOHC) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/28398/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/28763/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193764/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39780/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 39784, "uuid": "360cf83cf2354ae88c45ad8e37a2766b", "title": "GloCAEM: Atmospheric electricity measurements at Kakioka Magnetic Observatory, Japan (low sensitivity)", "abstract": "This dataset contains measurements of atmospheric electricity and electric potential gradient made using a Boltek EFM 100 Instrument mounted at 0.6 m height on a metal pole and operated by the University of Shizuoka and Japan Meteorological Agency at Kakioka Magnetic Observatory, Ishioka-shi, Ibaraki-ken, Japan\r\n\r\nThe provided data were calibrated using long-term observation of water dropper data (Nagamachi et al, Geosci. Data J., 2021).The low sensitivity instrument dataset provided through GLOCAEM have a resolution of 65.9 V/m and the measurement range is from -131.8 kV/m to +131.8 kV /m. GPS-synchronized data with higher resolution (6.59 V/m) and with high sampling (10 Hz), all-sky camera images (10 min. sampling), animal camera images (motion detection) and are also available through on-demand request (kamogawa@u-shizuoka-ken.ac.jp).\r\n\r\nGlobal Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. 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Data J., 2021). The resolution of the high sensitivity data provided through GLOCAEM is 1.9 V/m and the measurement range is from -3.8 kV/m to +3.8 kV/m. GPS-synchronized data with higher resolution (0.19 V/m) and with high sampling (10 Hz), all-sky camera images (10 min. sampling), animal camera images (motion detection) and are also available through on-demand request (kamogawa@u-shizuoka-ken.ac.jp).\r\n\r\nGlobal Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.", "keywords": "GloCAEM, GEC, electric potential, electric field", "publicationState": "published", "dataPublishedTime": "2023-03-14T17:37:41", "doiPublishedTime": null, "updateFrequency": "unknown", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39787/?format=api", "dataPath": "/badc/glocaem/data/kakioka-high", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3324508955, "numberOfFiles": 2292, "fileFormat": "BADC-CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11009/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3774/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64175/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64204/?format=api" ], "dataLineage": "Data were collected by the project team and sent to CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20068/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24981/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193806/?format=api", 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concentration (SIC) is obtained using passive microwave satellite data from the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms, 2) correction of atmospheric noise using a Radiative Transfer Model, 3) computation of per-pixel uncertainties, 4) an optimal hybrid sea ice concentration algorithm, and 5) pan-sharpening of the SIC fields using the near-90 GHz imagery channels. This dataset was generated by the ESA Climate Change Initiative (CCI+) Sea Ice Phase 1 project. This dataset is an enhanced-resolution version of the EUMETSAT Ocean and Sea Ice Satellite Application Facility Global Sea Ice Concentration Climate Data Record (OSI SAF OSI-450-a CDR) over the period 1991-2020.", "keywords": "Sea Ice, ESA, CCI, Arctic, Antarctic", "publicationState": "citable", "dataPublishedTime": "2023-05-11T15:21:06", "doiPublishedTime": "2023-05-17T10:35:51", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40003/?format=api", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/ssmi_ssmis/12.5km/v3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 83566854605, "numberOfFiles": 21809, "fileFormat": "The data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11084/?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/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66296/?format=api" ], "dataLineage": "This dataset is an enhanced-resolution version of the EUMETSAT Ocean and Sea Ice Satellite Application Facility Global Sea Ice Concentration Climate Data Record (OSI SAF OSI-450-a CDR) over the period 1991-2020. It uses satellite data from US satellite missions SSM/I and SSMIS prepared by the EUMETSAT Climate Monitoring SAF and ECMWF/C3S ERA5 data.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12512/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14367/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194560/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/40002/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2573/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39802, "uuid": "98cda325efc54da0aacca1d658e4a54a", "title": "Global Ensemble of Temperatures with Quantified Uncertainties in Observations, Coverage and Spatial modeling (GETQUOCS) from 1850-2018", "abstract": "Instrumental global temperature records are derived from the network of in situ measurements of land and sea surface temperatures. This observational evidence is seen as being fundamental to climate science. Therefore, the accuracy of these measurements is of prime importance for the analysis of temperature variability. There are spatial gaps in the distribution of instrumental temperature measurements across the globe. This lack of spatial coverage introduces coverage error. An approximate Bayesian computation based multi-resolution lattice kriging is developed and used to quantify the coverage errors through the variance of the spatial process at multiple spatial scales. It critically accounts for the uncertainties in the parameters of this advanced spatial statistics model itself, thereby providing, for the first time, a full description of both the spatial coverage uncertainties along with the uncertainties in the modeling of these spatial gaps. These coverage errors are combined with the existing estimates of uncertainties due to observational issues at each station location. It results in an ensemble of 100,000 monthly temperatures fields over the entire globe that samples the combination of coverage, parametric and observational uncertainties from 1850 to 2018 on a 5° by 5° grid. \r\n \r\n The 100,000 equally-plausible ensemble members are stored in a series of separate netcdf files each containing 1000 realisations. \r\n \r\n Additionally, there is 100-realisation subsample that provides an estimate of the uncertainty in the full ensemble. This has been created using conditional Latin hypercube sampling across 25 key regions of the globe. It many cases it would be sufficient to analyse just this 100-member subsample, for example to compute a likely range in a quantity. It is recommended that full 100,000 member ensemble is only investigated in those situations where the precise shape of the uncertainty distribution is required. NetCDF files at both the annual and monthly resolution are provided for this subsample.", "keywords": "GETQUOCS, temperature, uncertainty, climate reconstruction, sea-surface temperature, approximate bayesian computation, historical climatology network, hypercube, homogenization, reliability", "publicationState": "published", "dataPublishedTime": "2023-04-26T09:03:16", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39799/?format=api", "dataPath": "/badc/deposited2023/GETQUOCS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 526363658858, "numberOfFiles": 103, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11010/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3775/?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/59154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62541/?format=api" ], "dataLineage": "This spatially complete global temperature dataset is built upon HadCRUT.4.5.0.0, which is itself derived from a merger of CRUTEM.4.5.0.0 and HadSST.3.1.1.0. Data supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39801/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193854/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39800/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39803, "uuid": "90049a6555d1480bb5ce9637051dede8", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): New network of virtual altimetry stations for measuring sea level along the world coastlines from 2002 to 2019, v2.2", "abstract": "This dataset contains a 17-year-long (January 2002 to December 2019 ), high-resolution (20 Hz), along-track sea level dataset in coastal zones of: Northeast Atlantic, Mediterranean Sea, whole African continent, North Indian Ocean, Southeast Asia, Australia and North and South America. Up to now, satellite altimetry has provided global gridded sea level time series up to 10-15 km from the coast only, preventing the estimation of how sea level changes very close to the coast on interannual to decadal time scales. \r\n\r\nThis dataset has been derived from a new version of the ESA SL_cci+ dataset of coastal sea level anomalies which is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series.\r\n\r\nThis large amount of coastal sea level estimates has been further analysed to produce the present dataset: a total of 756 altimetry-based virtual coastal stations have been selected and sea level anomalies time series together with associated coastal sea level trends have been computed over the study time span. \r\n\r\nThe main objective of this dataset is to analyze the sea level trends close to the coast and compare them with the sea level trends observed in the open ocean and to determine the causes of the potential differences.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). See 'The Climate Change Coastal Sea Level Team (2020). Sea level anomalies and associated trends estimated from altimetry from 2002 to 2018 at selected coastal sites. Scientific Data (Nature), in press'.\r\n\r\nThis dataset is v2.2 of the data and is a copy of the v2.2 data published on the SEANOE (SEA scieNtific Open data Edition) website (https://doi.org/10.17882/74354#98856) \r\n\r\nThe dataset should be cited as: \tCazenave Anny, Gouzenes Yvan, Birol Florence, Legér Fabien, Passaro Marcello, Calafat Francisco M, Shaw Andrew, Niño Fernando, Legeais Jean François, Oelsmann Julius, Benveniste Jérôme (2022). New network of virtual altimetry stations for measuring sea level along the world coastlines. SEANOE. https://doi.org/10.17882/74354\r\n\r\nIn addition,it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :\r\n\r\n - Cazenave Anny, Gouzenes Yvan, Birol Florence, Leger Fabien, Passaro Marcello, Calafat Francisco M., Shaw Andrew, Nino Fernando, Legeais Jean François, Oelsmann Julius, Restano Marco, Benveniste Jérôme (2022). Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations. Communications Earth & Environment, 3 (1). https://doi.org/10.1038/s43247-022-00448-z\r\n\r\n - Benveniste Jérôme, Birol Florence, Calafat Francisco, Cazenave Anny, Dieng Habib, Gouzenes Yvan, Legeais Jean François, Léger Fabien, Niño Fernando, Passaro Marcello, Schwatke Christian, Shaw Andrew (2020). Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018. Scientific Data, 7 (1). https://doi.org/10.1038/s41597-020-00694-w", "keywords": "ESA CCI, SLA", "publicationState": "published", "dataPublishedTime": "2023-08-03T16:51:27", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40287/?format=api", "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/Trends_SelectedSites/v2.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 66376114, "numberOfFiles": 757, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8719/?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/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66833/?format=api" ], "dataLineage": "The product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative. The data has been archived on https://www.seanoe.org with a doi of https://doi.org/10.17882/74354#98856. A copy has been transferred to CEDA as part of the ESA CCI Open Data Portal project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13331/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12684/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196323/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/31954/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2584/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sealevel_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39804, "uuid": "91d1fbc572224b9c86f6c14ba9109479", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Regional coastline profile of Vertical Land Motions in Europe and SE Asia/Oceania, v1", "abstract": "This dataset contains a regional coastline profile of Vertical Land Motions in Europe and SE Asia/Oceania produced as part of the ESA Climate Change Initiative Sea Level project.\r\n\r\nVertical Land Motions have been estimated as the difference between the altimeter coastal sea level v1.1 dataset (available from https://catalogue.ceda.ac.uk/uuid/222cf11f49a94d2da8a6da239df2efc4 ) and tide gauge measurements from the Permanent Service for Mean Sea Level (PMSML) network. Spatial interpolation has allowed the production of a regularly spaced coastline profile of vertical land movements together with their uncertainties.\r\n\r\nThe altimeter input data are from the Jason-1, Jason-2 and Jason-3 missions during the period Jan. 2002 - May 2018.", "keywords": "ESA CCI, SLA", "publicationState": "citable", "dataPublishedTime": "2023-08-03T16:43:59", "doiPublishedTime": "2023-08-04T12:26:25", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40269/?format=api", "dataPath": "/neodc/esacci/sea_level/data/Vertical_Land_Motions_TUM/maps/v1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 639063, "numberOfFiles": 2, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11145/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2716/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66829/?format=api" ], "dataLineage": "The product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). A copy has been transferred to CEDA as part of the ESA CCI Open Data Portal project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12667/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13331/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12684/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196276/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40270/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2584/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sealevel_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39806, "uuid": "f107a4ce186844bb8adf8cd1f2f6d552", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover Maps in Africa (Eastern Sahel region) at 10m spatial resolution for 2019 in Geotiff format, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) maps of a subregion of Africa, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. This consists of the following products:\r\n\r\n1) HRLC10: High Resolution Land Cover Maps at 10m spatial resolution for year 2019 (also referred to as static maps).\r\n2) Associated uncertainty products.\r\n\r\nThey cover the geographic range (0.1°S – 18.1°N; 9.9°E – 43.3°E).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as static maps.", "keywords": "Land Cover, CCI, High Resolution", "publicationState": "citable", "dataPublishedTime": "2024-02-13T18:41:11", "doiPublishedTime": "2024-02-14T17:46:05", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41364/?format=api", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A01_Africa/static/v1.2/geotiff/HRLC10/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 305157873648, "numberOfFiles": 3906, "fileFormat": "Data are in GeoTiff format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11011/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3776/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were processed by the ESA CCI High Resolution Land Cover project and catalogued here as part of the CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12820/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39805/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201881/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39813/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2572/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_high_resolution_land_cover_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39807, "uuid": "a3fb75aa46db4711ab587f3fa3ca01fe", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover and Land Cover Change Maps in Africa (Eastern Sahel region) at 30m spatial resolution in GeoTiff format, 1990-2019, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) and land cover change (LCC) maps of a subregion of Africa, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. It consists of the following products:\r\n\r\n1) HRLC30: High Resolution Land Cover Maps at 30m spatial resolution for years 1990, 1995, 2000, 2005, 2010, 2015, 2019.\r\n2) HRLCC30: High Resolution Land Cover Change Maps at 30m spatial resolution of yearly changes. A map every 5 years (1990-1995, 1995-2000, 2000-2005, 2005-2010, 2010-2015,2015-2019) is provided which reports (high priority) changed pixels and their year within the 5-years temporal interval.\r\n3) Associated uncertainty products.\r\n\r\nThey cover the geographic range (3.5°N – 16.3°N; 27.0°E – 43.3°E).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as historical maps.", "keywords": "Land Cover, CCI, High Resolution", "publicationState": "citable", "dataPublishedTime": "2024-02-13T18:40:34", "doiPublishedTime": "2024-02-14T17:43:54", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41363/?format=api", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A01_Africa/historical/v1.2/geotiff/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 100384657865, "numberOfFiles": 11055, "fileFormat": "Data are in Geotiff format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11012/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3777/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were processed by the ESA CCI High Resolution Land Cover project and catalogued here as part of the CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12819/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39805/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201836/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39809/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2572/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_high_resolution_land_cover_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 39814, "uuid": "5f7206e5854246a9ae7498305d620590", "title": "UM-UKCA model data for study investigating the QBO response to large tropical eruptions", "abstract": "This dataset contains summary 36-month data of the global mean volcanic stratospheric aerosol optical depth, temperature, sulfate aerosol mass concentration and wind velocities necessary for analysing the quasi-biennial oscillation (QBO). The data are from 8 model simulations of volcanic eruptions that have different sulfur dioxide emissions, eruption initiation date/season and QBO phase at the time of eruption. Three control ensembles were conducted for each initial condition. The simulations are from the Unified Model coupled with the United Kingdom Chemistry and Aerosol Scheme (UM-UKCA) Vn.11.2 and were conducted at a global resolution of 1.875 ° x 1.25°.\r\n\r\nVariables for calculating the QBO momentum budget (w*, flux divergence) are contained in the files ending ‘_momentum.nc’.\r\n\r\nThere are files for each initial condition named '{SEASON}_{SO2_INJECTION_MAGNITUDE}_{QBO_PHASE}.nc'.\r\n\r\nThere are 12 control files to give three ensemble members for each initial condition. These files are named ‘{SEASON}_{QBO_PHASE}_control_{no.}.nc’ for example: ‘July_wQBO_control_2.nc’.", "keywords": "UM-UKCA, QBO, quasi-biennial oscillation, tropical eruptions, volcanic", "publicationState": "citable", "dataPublishedTime": "2023-04-05T13:04:12", "doiPublishedTime": "2023-04-06T08:24:41", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39815/?format=api", "dataPath": "/badc/deposited2023/UKCA_volcanic_eruptions_QBO", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 40538150779, "numberOfFiles": 30, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11014/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?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/18924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62540/?format=api" ], "dataLineage": "Data were generated using the Met Office Unified Model coupled with the United Kingdom Chemistry and Aerosol Scheme (UM-UKCA) Vn.11.2.\r\nData was converted to netCDF", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12457/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39817/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193931/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39816/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39819, "uuid": "e0f6a223220d463ea7a5d2a7520000cf", "title": "HyperDrone Flight 20210722 - hyperspectral in situ radiometry and hyperspectral imagery at different altitudes for plastics detection", "abstract": "Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform. \r\nThese hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements. This dataset was collected on 22nd July 2021 from Oban airport's shore using a range of different plastic targets", "keywords": "UAS,UAV,drone,hyperspectral,in situ,Plastic,macroplastics,", "publicationState": "citable", "dataPublishedTime": "2023-04-28T14:14:00", "doiPublishedTime": "2023-04-28T14:40:26", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39850/?format=api", "dataPath": "/neodc/hyperdrone/data/2021/HyperDrone_20210722", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 275068519154, "numberOfFiles": 103, "fileFormat": "ENVI BIL and BADC-CSV Format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11017/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3780/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64173/?format=api" ], "dataLineage": "The following sensors were loaned from NERC Field Spectroscopy Facility and used in the HyperDrone project:\r\n• The HR-1024i hyperspectral spectrometer from the Spectra Vista Corp. (SVC) covering the range 350-2500 nm.\r\n• The hyperspectral Headwall co-aligned imager (pushbroom) covering the VNIR and SWIR region (450-2500 nm) mounted on a DJI M600 drone platform. This sensor is a instrument able to collect LiDAR data at the same time for direct geo-rectification via the manufacturer software.\r\n\r\nA ReadMe file is included in this project that explains in detail the dataset collected in this project and the processing stages.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12472/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39820/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39941/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193943/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39825/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 39827, "uuid": "2485214239134768820ffb50fb5513bc", "title": "HyperDrone Flight 20200929 - hyperspectral in situ radiometry and hyperspectral imagery at different altitudes for plastics detection", "abstract": "Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform. \r\nThese hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements. \r\nThis dataset was collected on 29th September 2020 at Tyninghame beach, East Lothian, Scotland using a range of different plastic targets.", "keywords": "UAS,UAV,drone,hyperspectral,in-situ,Plastic, macroplastic,detection", "publicationState": "citable", "dataPublishedTime": "2023-04-28T14:16:02", "doiPublishedTime": "2023-04-28T14:39:01", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39869/?format=api", "dataPath": "/neodc/hyperdrone/data/2020/HyperDrone_20200929", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 179920642499, "numberOfFiles": 48, "fileFormat": "Envi Binary and BADC-CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11018/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3781/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64173/?format=api" ], "dataLineage": "The following sensors were loaned from NERC Field Spectroscopy Facility and used in the HyperDrone project:\r\n• The HR-1024i hyperspectral spectrometer from the Spectra Vista Corp. (SVC) covering the range 350-2500 nm.\r\n• The hyperspectral Headwall co-aligned imager (pushbroom) covering the VNIR and SWIR\r\nregion (450-2500 nm) mounted on a DJI M600 drone platform. This sensor is a instrument able to collect LiDAR data at the same time for direct geo-rectification via the manufacturer software.\r\n\r\nA ReadMe file is included in this project that explains in detail the dataset collected in this project and the processing stages.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12471/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39820/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39941/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193960/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39828/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 39829, "uuid": "7a2a80d01dd645b2b14efb5647835c78", "title": "Sensor based ambient air concentration data for nitrogen dioxide and particles in Oxford, measured by the OxAria project 2020 to 2022.", "abstract": "This dataset contains raw and processed levels of nitrogen dioxide (NO2), particles (PM10 & PM2.5) in ambient air in Oxford, UK. These are derived from low cost sensor units located ...... The raw data is at 10-second intervals and the processed data is at 15-minute and 1-hour resolutions. The raw data is available in JSON format 2020 to 2022 and the processed data is available in CSV format Oct 2020 to Oct 2021. These data were collected for the OxAria project.\r\n\r\nThe Oxaria project is a Natural Environmental Research Council funded collaboration between the University of Birmingham and University of Oxford, supported by public and commercial partners. The project has applied advanced technological and environmental health expertise to understand the air and noise impacts of COVID-19 across Oxford City. See also https://oxaria.org.uk/ \r\n\r\nFor Project record: - The application of high-resolution sensing technology in this context offers potential to measure air pollution at an unprecedented scale and scope, providing a more comprehensive picture of air pollution across Oxford than has previously been possible. Data obtained before, during and after relevant COVID-19 restrictions have been used to understand impacts upon road traffic, air and noise pollution\r\nlevels and to assess implications for healthy life expectancy and therefore human health. This information will be used to provide an evidence-base for air quality policy within local authorities, public agencies and national Government.", "keywords": "nitrogen dioxide, NO2, particles, oxaria", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39830/?format=api", "dataPath": "/badc/deposited2023/oxaria_2020_2022/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 32989121339, "numberOfFiles": 11, "fileFormat": "Data are CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11019/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3783/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the National Institute for Health Research (NIHR) and the Natural Environmental Research Council (NERC) grant funded research and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39837/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193976/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39836/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [] }, { "ob_id": 39844, "uuid": "295ee0ee59ee43439de38f83bb818b4f", "title": "HighResCoralStress: Observed and statistically downscaled CMIP6 projections of daily sea surface temperature (SST) at 0.01°/1 km spatial resolution for the global coral reef area from 1985 to 2100.", "abstract": "The HighResCoralStress dataset comprises high spatial resolution (0.01°/1 km) daily sea surface temperature (SST) for the global coral reef area for past (1985-2019) and future (2020-2100) time periods. There are 12 coral reef regions based on those described by McWilliam et al. (2018). They vary in their functional redundancy and so indicate susceptibility to ecological changes with climate change. Statistically downscaled Coupled Model Intercomparison Project 6 (CMIP6) projections of daily SST are provided for 420,334 1 km coral reef pixels in 12 coral reef regions for four shared socio-economic pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) for the time period (1985-2100). \r\nThere are separate downscaled CMIP6 files for each region and SSP. The 1 km observed dataset used in the statistical downscaling is also provided for the period (1985-2019). CMIP6 projections of SST were statistically downscaled from their native model resolution (25-100 km) to 1 km spatial resolution using asynchronous linear regression. Full details of the statistical downscaling methodology and source datasets used in this project can be found in Dixon et al. (2022). \r\nCoral reefs globally are threatened by rising ocean temperatures and increasing frequency and severity of thermal stress events. High resolution sea surface temperature (SST) projections are a useful tool in climate vulnerability assessments, ecological modelling, spatial planning and conservation decision making for coral reefs around the world. \r\nAll source datasets used in the generation of HighResCoralStress are openly available and details can be found in Dixon et al. (2022). The authors request that you refer to this article before using the datasets, please refer to online resources on this record for links. Thermal stress metrics calculated using HighResCoralStress can be found at the following link: https://highrescoralstress.org/. The coordinates for the regional boundaries can be found in the NetCDF file attributes.\r\nThis work was undertaken by researchers from the University of Leeds, Texas Tech University and James Cook University funded by the Natural Environment Research Council (NERC) project DTP Spheres (NE/L002574/1).", "keywords": "CMIP6, coral reefs, sea surface temperature, statistical downscaling", "publicationState": "citable", "dataPublishedTime": "2023-06-06T11:52:16", "doiPublishedTime": "2023-06-06T12:22:09", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39845/?format=api", "dataPath": "/bodc/LSB230075", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2735789971244, "numberOfFiles": 698, "fileFormat": "Data are CF-Compliant NetCDF formatted data files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11022/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3847/?format=api", "nonGeographicFlag": false, "phenomena": [ "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/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62527/?format=api" ], "dataLineage": "Dataset was generated for 420,334 1 km coral reef pixels. 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"a0782135bcd04d77a1dae4aa71fba47c", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 6.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. 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projection (All Products) at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 6.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. 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(Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 6.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. 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(Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 6.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. It is computed from the Ocean Colour CCI Version 6.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. 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