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=7200
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7300", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7100", "results": [ { "ob_id": 32874, "uuid": "2787230b963942009e452255a3880609", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.5 (v20210809)", "abstract": "Data for Figure SPM.5 from the Summary for Policymakers (SPM) 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 SPM.5 shows changes in annual mean surface temperatures, precipitation, and total column soil moisture.\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\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels with 11 maps. All data is provided, except for panel a1.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n\r\n- Annual mean temperature change (°C) (relative to 1850-1900)\r\n- Annual mean precipitation change (%) (relative to 1850-1900)\r\n- Annual mean soil moisture change (standard deviation of interannual variability) (relative to 1850-1900)\r\n\r\n \r\nThe data is given for global warming levels (GWLs), namely +1.0°C (temperature only), +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nPanel a:\r\n- Data file: Panel_a2_Simulated_temperature_change_at_1C.nc, simulated annual mean temperature change (°C) at 1°C global warming relative to 1850-1900 (right).\r\n\r\nPanel b:\r\n- Data file: Panel_b1_Simulated_temperature_change_at_1_5C.nc, simulated annual mean temperature change (°C) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Panel_b2_Simulated_temperature_change_at_2C.nc, simulated annual mean temperature change (°C) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Panel_b3_Simulated_temperature_change_at_4C.nc, simulated annual mean temperature change (°C) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\nPanel c:\r\n- Data file: Panel_c1_Simulated_precipitation_change_at_1_5C.nc, simulated annual mean precipitation change (%) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Panel_c2_Simulated_precipitation_change_at_2C.nc, simulated annual mean precipitation change (%) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Panel_c3_Simulated_precipitation_change_at_4C.nc, simulated annual mean precipitation change (%) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\nPanel d:\r\n- Data file: Figure_SPM5_d1_cmip6_SM_tot_change_at_1_5C.nc, simulated annual mean total column soil moisture change (standard deviation) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Figure_SPM5_d2_cmip6_SM_tot_change_at_2C.nc, simulated annual mean total column soil moisture change (standard deviation) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Figure_SPM5_d3_cmip6_SM_tot_change_at_4C.nc, simulated annual mean total column soil moisture change (standard deviation) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n\r\n- Link to the report webpage, which includes the component containing the figure (Summary for Policymakers), the Technical Summary (Figures TS.3 and TS.5) and the Supplementary Material for Chapters 1, 4 and 11, which contains details on the input data used in Tables 1.SM.1 (Figure 1.14), 4.SM.1 (Figures 4.31 and 4.32) and 11.SM.9 (Figure 11.19).", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.5, global warming level, temperature, precipitation, soil moisture, projection, CMIP6", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:04:40", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32957/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_05/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35754261, "numberOfFiles": 13, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9027/?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/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46707/?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/46710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46711/?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/10913/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168305/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32876/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32886, "uuid": "18f83caf9bdf4cb4803484d8dce19eef", "title": "Extreme precipitation return level changes at 1, 3, 6, 12, 24 hours for 2050 and 2070, derived from UKCP Local Projections on a 5km grid for the FUTURE-DRAINAGE Project", "abstract": "Extreme short-duration precipitation changes, derived from the UKCP Local projections at 5km resolution (Kendon et al 2021) have been estimated using a spatial statistical model as part of the NERC-funded Future-Drainage project. Future changes (\"\"uplifts\"\") are estimated for 2050 and 2070 for RCP8.5 compared to the baseline of 1990 for precipitation durations of 1-, 3-, 6-, 12-, 24-hours. 2070 is the central year for 2060-2080 (\"\"UKCP Local TS3\"\") time-slice, and 2050 value is an interpolation between TS3 and 2020-2040 (\"\"UKCP Local TS2\"\") time-slice. 2050 is an important date for the UK water industry in its delivery of Drainage and Wastewater Management Plans (DWMPs; Water UK, 2019). Return level changes are provided for 2, 30, and 100-year return periods. The data is on the OSGB 1936/EPSG:27700 projection at 5km resolution. The underlying statistical model is described in Youngman (2018, 2020) and is applied individually to each of the twelve UKCP Local ensemble members. Future changes plus their uncertainties from each ensemble member are then combined following the method described in Fosser et al (2020).\r\n\r\nTwo estimates of future changes are provided from this \"\"super-ensemble\"\" by estimating percentiles from the distribution obtained using the Fosser et al (2020) method - a central (50%) and high (95%) estimate. Values are rounded to nearest 5%. The future changes are available for each 5km grid point within the borders of the United Kingdom, provided as ERSI shapefiles and a CSV (comma-separated values) file, with separate files for different durations.\"", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2021-07-20T09:09:59", "doiPublishedTime": "2022-10-31T14:28:29", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32887/?format=api", "dataPath": "/badc/ukcp18/data/land-cpm/derived/future-extremes", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 80307963, "numberOfFiles": 151, "fileFormat": "Data are provided as Shapefiles and CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9032/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2814/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data is derived from updated OSGB-grid UKCP Local data (released July 2021; Kendon et al 2021; catalogue url: https://catalogue.ceda.ac.uk/uuid/e304987739e04cdc960598fa5e4439d0)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12282/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32888/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146863/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32889/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32896, "uuid": "48e1c8759a034a7298ada6ab18ef5134", "title": "HYREX project: Data from Purpose-built Dense Raingauge Network", "abstract": "Data from the purpose-built dense raingauge network was established in Somerset as part of the HYREX project. HYREX (Hydrological Radar Experiment) was a NERC (Natural Environment Research Council) special topic running from May 1993 to April 1997. Field experiments with an emphasis on radar, plus related interpretation and modelling, were carried out to investigate the short term forecasting and hydrological implications of precipitation.", "keywords": "HYREX, raingauge", "publicationState": "published", "dataPublishedTime": "2021-07-26T11:36:13", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32897/?format=api", "dataPath": "/badc/hyrex/data/Common/drn", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13601146, "numberOfFiles": 135, "fileFormat": "Text" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1284/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2815/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Latest HYREX data acquired in 1998 from CEH (on tape). Data was uploaded as is into the BADC archive as is from tapes.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/4493/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146885/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32898/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32899, "uuid": "98af2184e13e4b91893ab72f301790db", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.8 (v20210809)", "abstract": "Data for Figure SPM.8 from the Summary for Policymakers (SPM) 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 SPM.8 shows selected indicators of global climate change under the five core scenarios used in this report.\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\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d and panel_e.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 Global Surface Air Temperature (GSAT) anomalies relative to 1850-1900 (20 year means)\r\n - Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 September sea-ice area\r\n - Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 Global ocean surface pH\r\n - Historical sea level relative to 1900 from gauges (to 1992) and altimeters (1993 on) (offset 0.158 m vs. 1995-2014)\r\n - AR6 sea level projections relative to 1900 (offset 0.158 m vs. 1995-2014)\r\n - AR6 assessed global mean sea level at 2300 relative to 1900 (offset 0.158 m vs. 1995-2014)\r\n\r\nThe five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a: Near-Surface Air Temperature\r\n\r\n - Data file: panel_a/tas_global_Historical.csv (black line and grey shading)\r\n - Data file: panel_a/tas_global_SSP1_1_9.csv (cyan line)\r\n - Data file: panel_a/tas_global_SSP1_2_6.csv (blue line and blue shading)\r\n - Data file: panel_a/tas_global_SSP2_4_5.csv (orange line)\r\n - Data file: panel_a/tas_global_SSP3_7_0.csv (red line and red shading)\r\n - Data file: panel_a/tas_global_SSP5_8_5.csv (brown line)\r\n\r\n\r\nPanel b: Sea-Ice Area\r\n\r\n - Data file: panel_b/sia_arctic_september_Historical.csv (black line and grey shading)\r\n - Data file: panel_b/sia_arctic_september_SSP1_1_9.csv (cyan line)\r\n - Data file: panel_b/sia_arctic_september_SSP1_2_6.csv (blue line and blue shading)\r\n - Data file: panel_b/sia_arctic_september_SSP2_4_5.csv (orange line)\r\n - Data file: panel_b/sia_arctic_september_SSP3_7_0.csv (red line and red shading)\r\n - Data file: panel_b/sia_arctic_september_SSP5_8_5.csv (brown line)\r\n\r\n\r\nPanel c: Ocean Surface pH\r\n\r\n - Data file: panel_c/phos_global_Historical.csv (black line and grey shading\r\n - Data file: panel_c/phos_global_SSP1_1_9.csv (cyan line\r\n - Data file: panel_b/phos_global_SSP1_2_6.csv (blue line and blue shading)\r\n - Data file: panel_c/phos_global_SSP2_4_5.csv (orange line)\r\n - Data file: panel_c/phos_global_SSP3_7_0.csv (red line and red shading)\r\n - Data file: panel_c/phos_global_SSP5_8_5.csv (brown line)\r\n\r\n\r\nPanel d: Sea Level\r\n\r\n - Data file: panel_d/global_sea_level_observed.csv (black line)\r\n - Data file: panel_d/global_sea_level_projected.csv (cyan, blue, orange, red and brown lines, red and blue shading)\r\n\r\n\r\nPanel e: Sea Level\r\n\r\n - Data file: panel_e: global_sea_level_2300_assessed.csv (columns 2 and 3, SSP1-2.6 scenario; columns 4 to 6 SSP5-8.5 scenario)\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\r\n - Link to the report component containing the figure (Summary for Policymakers)", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.8, global temperature, Arctic sea ice, ocean acidification, sea level rise", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:04:27", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32945/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_08/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 86756, "numberOfFiles": 24, "fileFormat": "Data are CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9036/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n\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/10916/?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/32729/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146923/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32901/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32906, "uuid": "93d1b84fbb144901809eaf67b35eb5c4", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.6 (v20210809)", "abstract": "Data for Figure SPM.6 from the Summary for Policymakers (SPM) 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 SPM.6 shows projected changes in the intensity and frequency of extreme temperature, extreme precipitation and droughts.\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\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\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 subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains:\r\n- Changes in annual maximum temperature (TXx) extremes for intensity (°C) and frequency (-) for 1 in 10 year and 1 in 50 year events (relative to 1850-1900)\r\n- Changes in annual maximum 1-day precipitation (Rx1day) extremes for intensity (%) and frequency (-) for 1 in 10 year events (relative to 1850-1900)\r\n- Changes in soil moisture-based drought events for intensity (standard deviation) and frequency (-) for 1 in 10 year events (relative to 1850-1900)\r\n\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\nPanel a:\r\n- Data file: panel_a/TXx_freq_change_10_year_event.csv ('Hot temperature extremes') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_a/TXx_intens_change_10_year_event.csv ('Hot temperature extremes') [column 2 dark bars, columns 5 and 6 light bars]\r\nPanel b:\r\n- Data file: panel_b/TXx_freq_change_50_year_event.csv ('Hot temperature extremes') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_b/TXx_intens_change_50_year_event.csv ('Hot temperature extremes') [column 2 dark bars, columns 5 and 6 light bars]\r\n \r\nPanel c:\r\n- Data file: panel_c/Rx1day_freq_change_10_year_event.csv ('Extreme precipitation over land') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_c/Rx1day_intens_change_10_year_event.csv ('Extreme precipitation over land') [column 2 dark bars, columns 5 and 6 light bars]\r\nPanel d:\r\n- Data file: panel_d/drought_freq_change_10_year_event.csv ('Drought') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_d/drought_intens_change_10_year_event.csv ('Drought') [column 2 dark bars, columns 5 and 6 light bars]\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure from the provided data\r\n---------------------------------------------------\r\n- The 50th, 5th, and 95th percentiles are shown on the figure (lines on the bars).\r\n- The drought intensity shows 'drying' while the data file shows the change in soil moisture (i.e., a negative soil moisture change corresponds to a positive drying signal).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n - - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9. 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(IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.1 shows global temperature history and causes of recent warming.\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\r\nIPCC, 2021: Summary for Policymakers. 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. In Press.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nPanel a\r\n\r\nThe dataset contains:\r\n\r\n - Estimated temperature during the warmest multi-century period in at least the last 100,000 years, which occurred around 6500 years ago (4500 BCE), multi-centennial average, from AR6 WGI Chapter 2\r\n - Global surface temperature change time series relative to 1850-1900 for 1-2020 from:\r\n• 1-2000 CE reconstruction from paleoclimate archives, decadal smoothed, from PAGES2k Consortium (2019, DOI: 10.1038/s41561-019-0400-0)\r\n• 1850-2020 CE, observations, decadal smoothed, from AR6 WGI Chapter 2 assessed mean\r\n\r\nPanel b:\r\n\r\nThe dataset contains global surface temperature change time series relative to 1850-1900 for 1850-2020 from simulations from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and observations:\r\n\r\n- CMIP6 historical+ssp245 simulations (simulations with human and natural forcing, 1850-2019)\r\n- CMIP6 hist-nat simulations (simulations with natural forcing, 1850-2019)\r\n- Global Surface Temperature Anomalies (GSTA) relative to 1850-1900 from observations assessed in IPCC AR6 WG1 Chapter 2 (1850-2020)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\nPanel a:\r\n\r\n- panel_a/SPM1_1-2000_recon.txt, 1-2000 time series, decadal smoothed, for years centered on 5-1996 CE [column 1 grey line, columns 2 and 3 grey shading]\r\n- panel_a/SPM1_1850-2020_obs.txt, 1850-2020 time series, decadal smoothed, for years centered on 1855-2016 CE [black line]\r\n- panel_a/SPM1_6500_recon.txt, bar for the warmest multi-century period in more than 100,000 years (around 6500 years ago: 4500 BCE) [grey bar]\r\n\r\nPanel b:\r\n\r\n- panel_b/gmst_changes_model_and_obs.csv. Global surface temperature change time series relative to 1850-1900 for 1850-2020 from:\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [mean, brown line]\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [5% range, brown shading, bottom]\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [95% range, brown shading, top]\r\n• CMIP6 hist-nat simulations (1850-2019) [mean, green line]\r\n• CMIP6 hist-nat simulations (1850-2019) [5% range, green shading, bottom]\r\n• CMIP6 hist-nat simulations (1850-2019) [95% range, green shading, top]\r\n• Global Surface Temperature Anomalies (GSTA) relative to 1850-1900 from observations assessed in IPCC AR6 WG1 Chapter 2 (1850-2020) [black line]\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\nThe following weblinks are provided in the Related Documents section of this catalogue record:\r\n\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers), the Technical Summary (Cross-Section Box TS.1, Figure 1a) and the Supplementary Material for Chapters 2 and 3, which contains details on the input data used in Tables 2.SM.1 (Figure 2.11a) and 3.SM.1 (Figure 3.2c; FAQ 3.1, Figure 1).\r\n- Link to related publication for input data", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.1, global surface temperature, pre-industrial temperature, Holocene", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:04:11", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32959/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_01/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 66276, "numberOfFiles": 7, "fileFormat": "Data are CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9070/?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/61288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80385/?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/10911/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146934/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32911/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32913, "uuid": "35a7ee81a50c4b95ab59f9bd128f9b63", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.9 (v20210809)", "abstract": "Data for Figure SPM.9 from the Summary for Policymakers (SPM) 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 SPM.9 provides a synthesis of the number of AR6 WGI reference regions where climatic impact-drivers are projected to change.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range\r\n---------------------------------------------------\r\nChanges refer to a 20–30 year period centred around 2050 and/or consistent with 2°C global warming compared to a similar period within 1960-2014 or 1850-1900.\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 a single file named consolidated_data_figure_SPM9.csv\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains the number of AR6 WGI regions where climatic impact-drivers are projected to change if a global warming level of 2°C is reached compared to a climatological reference period included within 1960-2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nData file: consolidated_data_figure_SPM.9.csv (count of regions with increasing or decreasing changes in climatic impact-drivers); relates to panel (a) and panel (b) and it's shown by the bars in the figure. The first row of data relates to the darker purple bars, the second row to the lighter purple bars, the third row to the lighter brown bars and the fourth row to the darker brown bars. Row 5 represents the maximum number of regions for which each climatic impact-driver is relevant. It is shown on the figure as the lighter-shaded ‘envelope’.\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\r\n - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers)", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.9, climatic impact-drivers, projection, AR6 regions", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:04:03", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32962/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_09/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6540, "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\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/10909/?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/32729/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146949/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32915/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32916, "uuid": "cfe938e70f8f4e98b0622296743f7913", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.10 (v20210809)", "abstract": "Data for Figure SPM.10 from the Summary for Policymakers (SPM) 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 SPM.10 shows global warming as a function of cumulative emissions of carbon dioxide.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels that are closely linked. Data files for the top panel are labelled with 'Top_panel' while data files for the bottom panel are labelled with 'Bottom_panel'. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\nThis dataset contains:\r\n\r\nTop panel:\r\n\r\n- Cumulative global total anthropogenic carbon dioxide emissions (1850-2019)\r\n- Global surface temperature increase relative to 1850-1900 (1850-2019)\r\n- Estimated human-caused warming relative to 1850-1900 (1850-2019)\r\n- Projected global total anthropogenic carbon dioxide emissions for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)\r\n- Assessed global surface temperature increase relative to 1850-1900 for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)\r\n\r\nBottom panel:\r\n\r\n- Cumulative global total anthropogenic carbon dioxide emissions (1850-2019)\r\n- Projected global total anthropogenic carbon dioxide emissions for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)\r\n\r\nThe illustrative SSP (Shared Socio-economic Pathway) scenarios (referred to here as core scenarios) are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nTop panel: \r\n•\tTop_panel_HISTORY.csv: historical CO2 emissions, global surface temperature increase since 1850-1900 for the 1850-2019 period, estimated human-caused warming since 1850-1900 over the 1850-2019 period. [row 1 for black line, grey line and grey range, row 2 for black line, row 3 to 5 range and central grey range]\r\n•\tTop_panel_SSP1-19.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP1-26.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP2-45.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP3-70.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP5-85.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n\r\nBottom panel: \r\n•\tBottom_panel_GtCO2_historical.csv: historical CO2 emissions [grey bars]\r\n•\tBottom_panel_GtCO2_projections.csv; projected CO2 emissions for the five scenarios in the core set of IPCC AR6 WG1 scenarios [coloured bars]\r\n\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\r\n - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) the Technical Summary (Section TS.3.3). and the Supplementary Material for Chapter 5, which contains details on the input data used in Table 5.SM.6 (Figure 5.31)\r\n - Link to related publications for input data", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.10, carbon dioxide, projection, carbon budgets, shared socio-economic pathways, SSP", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:03:55", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32963/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_10/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 46050, "numberOfFiles": 11, "fileFormat": "Data are CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9037/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10912/?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/32729/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147411/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32918/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32921, "uuid": "bd65331b1d344ccca44852e495d3a049", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.4 (v20210809)", "abstract": "Data for Figure SPM.4 from the Summary for Policymakers (SPM) 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 SPM.4 panel a shows global emissions projections for CO2 and a set of key non-CO2 climate drivers, for the core set of five IPCC AR6 scenarios. Figure SPM.4 panel b shows attributed warming in 2081-2100 relative to 1850-1900 for total anthropogenic, CO2, other greenhouse gases, and other anthropogenic forcings for five Shared Socio-economic Pathway (SSP) 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\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n---------------------------------------------------\r\nThe figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Projected emissions from 2015 to 2100 for the five scenarios of the AR6 WGI core scenario set (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5)\r\n - Projected warming for all anthropogenic forcers, CO2 only, non-CO2 greenhouse gases (GHGs) only, and other anthropogenic components for 2081-2100 relative to 1850-1900, for SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5.\r\n\r\nThe five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n\r\n\r\n The first column includes the years, while the next columns include the data per scenario and per climate forcer for the line graphs.\r\n\r\n - Data file: Carbon_dioxide_Gt_CO2_yr.csv. relates to Carbon dioxide emissions panel\r\n - Data file: Methane_Mt_CO2_yr.csv. relates to Methane emissions panel\r\n - Data file: Nitrous_oxide_Mt N2O_yr.csv. relates to Nitrous oxide emissions panel\r\n - Data file: Sulfur_dioxide_Mt SO2_yr.csv. relates to Sulfur dioxide emissions panel\r\n\r\n Panel b:\r\n\r\n - Data file: ts_warming_ranges_1850-1900_base_panel_b.csv. [Rows 2 to 5 relate to the first bar chart (cyan). Rows 6 to 9 relate to the second bar chart (blue). Rows 10 to 13 relate to the third bar chart (orange). Rows 14 to 17 relate to the fourth bar chart (red). Rows 18 to 21 relate to the fifth bar chart (brown).].\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink are provided in the Related Documents section of this catalogue record:\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapter 1, which contains details on the input data used in Table 1.SM.1..(Cross-Chapter Box 1.4, Figure 2).\r\n- Link to related publication for input data used in panel a.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.4, global temperature, attribution, projections, scenarios, shared socioeconomic pathways, SSP", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:03:47", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32965/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_04/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19280, "numberOfFiles": 8, "fileFormat": "Data are CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9039/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10910/?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/32729/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147419/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32923/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32924, "uuid": "b1ad4c02319b438884a72fea34cb5a18", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.7 (v20210809)", "abstract": "Data for Figure SPM.7 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.7 shows the cumulative anthropogenic CO2 emissions taken up by land and ocean sinks by 2100 under the five core scenarios.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\nThis dataset contains cumulative anthropogenic (human-caused) carbon dioxide (CO2) emissions taken up by the land and ocean sinks under the five core scenarios (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5), simulated from 1850 to 2100 by Earth System Models that contributed to the sixth phase of the Coupled Model Intercomparison Project (CMIP6).\r\n\r\nThe five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\nData file: SPM7_data.csv: each column corresponds to a single scenario, in which rows 2-7 are the bar values, rows 8-10 are the pie chart values and row 11 is the central value in the pie chart.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n---------------------------------------------------\r\nThe following weblink is provided in the Related Documents section of this catalogue record:\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers).", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.7, CO2 emissions, cumulative CO2 emissions, carbon sinks, airborne fraction", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:03:38", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32966/?format=api", 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National Centre for Earth Observation (NCEO)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147050/?format=api", 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"48ecd3eb90434cc3a843544065c69d47", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): 3D vertically resolved water vapour, version 1", "abstract": "To be written", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "underDevelopment", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8796/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32934/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 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CCI WV-strato is a merged product based on a number of WV datasets obtained from limb and solar occultation satellite instruments. CCI WV-strato features zonal monthly mean vertically resolved water vapour in the stratosphere, covers a pressure range from 300 to 0.1 hPa at 5 degree latitudinal resolution, and spans the time period between 1985 and 2019.\r\n\r\nThis version of the data is v3.3.", "keywords": "stratospheric water vapour, ESA Climate Change Initiative, CCI", "publicationState": "citable", "dataPublishedTime": "2022-10-21T16:24:05", "doiPublishedTime": "2022-11-22T14:00:29.327907", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38319/?format=api", "dataPath": "/neodc/esacci/water_vapour/data/WV-strato/L3S/v3.3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8483130, "numberOfFiles": 2, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10409/?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/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92029/?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/12296/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32934/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179808/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37713/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2529/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_watervapour_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32935, "uuid": "c1eb6dad1598427f8f9f3eae346ece2f", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.2 (v20210809)", "abstract": "Data for Figure SPM.2 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.2 relates to assessed contributions to observed warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\n This data set contains:\r\n\r\n- Observed warming (2010-2019 relative to 1850-1900)\r\n - Aggregated contributions to 2010-2019 warming relative 1850 -1900, assessed from attribution studies\r\n - Contributions to 2010-2019 warming relative to 1850-1900, assessed from radiative studies\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\n Panel a:\r\n\r\n- Data file: panel_a/SPM2a.csv (Observed warming). Mean value is used for the bar plot and top and bottom values are used for the error bars and they represent borders of the very likely range.\r\n\r\nPanel b:\r\n\r\n - Data file: panel_b/SPM2b.csv (Aggregated contributions assessed from attribution studies). Mean values are used for the bar plot and top and bottom values are used for the error bars and represent the borders of the very likely range\r\n\r\nPanel c:\r\n\r\n - Data file: panel_c/SPM2c_data.csv (Contributions assessed from radiative studies). Total global surface air temperature (GSAT) effect values are used for the bar plots and 5% and 95% very likely limit values are used for the error bars.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapters 3, 6 and 7, which contain details on the input data used in Tables 3.SM.1 (Figure 3.8), 6.SM.1 (Figure 6.12) and 7.SM.14 (Figure 7.7).", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.2, emissions, drivers, historical, attribution, human influence, global mean surface temperature, GMST, CMIP6, HadCRUT4.6, global warming", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:03:29", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32967/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_02/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10279, "numberOfFiles": 6, "fileFormat": "Data are CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9066/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10907/?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/32729/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147095/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32937/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32938, "uuid": "a1c7ae7387af4f048346d05ba36babd8", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): ACE-FTS Level 3 monthly mean zonal mean ozone profiles on an altitude grid, v0001", "abstract": "The dataset provides monthly zonal mean (MZM) ozone profiles from the ACE-FTS (Atmospheric Chemistry Experiment Fourier Transform Spectrometer) instrument onboard SCISAT, created by the ESA Ozone Climate Change Initiative project. The data are provided as ozone molar concentration (mol m-3) in 10 degree latitude bands from 90S to 90N, in the altitude range from 6 to 94 km. \r\n\r\nThe ACE-FTS Level 2 profiles (Bernath et al., 2005; Bernath, 2017), which are used for the MZM data, are retrieved with the University of Toronto processor UoT v3.5/3.6 and included into the new version of the HARMonized datasets of OZone profiles (HARMOZ_ALT, Sofieva et al., 2013). 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The data are provided as ozone molar concentration (mol m-3) in 10 degree latitude bands from 90S to 90N, in the altitude range from 10 to 105 km. \r\n\r\nThe GOMOS Level 2 profiles, which are used for the MZM data, are retrieved with the scientific ALGOM2s v1 processor (Sofieva et al., 2017a) and included into the new version of the HARMonized datasets of OZone profiles (HARMOZ_ALT, Sofieva et al., 2013). \r\n\r\nA more detailed description of the GOMOS Monthly zonal mean data can be found in the README and in (Sofieva et al., 2017b).\r\n\r\n\r\n\r\n\r\n.", "keywords": "Climate Change Initiative, CCI, Ozone, GOMOS", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9043/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147122/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32947/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 32948, "uuid": "8e930bdbd3d34e91995ca631da982c52", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): MIPAS Level 3 monthly mean zonal mean ozone profiles on an altitude grid, v0001", "abstract": "This dataset provides monthly zonal mean (MZM) ozone profiles from the MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) instrument onboard ENVISAT, created by the ESA Ozone Climate Change Initiative project. The data are provided as ozone molar concentration (mol m-3) in 10 degree latitude bands from 90S to 90N, in the altitude range from 6 to 70 km. \r\n\r\nThe MIPAS Level 2 profiles, which are used for the MZM data, are retrieved with the Karlsruhe Institute of Technology processor KIT/IAA V7R_O3_240 (von Clarmann et al., 2003; 2009) and included into the new version of the HARMonized datasets of Ozone profiles (HARMOZ_ALT, Sofieva et al., 2013). \r\n\r\nA more detailed description of the MIPAS Monthly zonal mean data can be found in the README and in (Sofieva et al., 2017).", "keywords": "Climate Change Initiative, CCI, Ozone, GOMOS", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9043/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147134/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32951/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 32961, "uuid": "27d14e4b9ecb426bb22c3c8a93391d4e", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): OSIRIS Level 3 monthly mean zonal mean ozone profiles on an altitude grid, v0002", "abstract": "The dataset provides monthly zonal mean (MZM) ozone profiles from the OSIRIS (Optical Spectrograph and InfraRed Imaging System) instrument onboard Odin, created as part of the ESA Ozone Climate Change Initiative project. The data are provided as ozone molar concentration (mol m-3) in 10 degree latitude bands from 90S to 90N, in the altitude range from 10 to 59 km. \r\n\r\nThe OSIRIS Level 2 profiles, which are used for the MZM data, are retrieved with the University of Saskatchewan processor USask v.5.10 (Bourassa et al., 2017; Degenstein et al., 2009) and included into the new version of the HARMonized datasets of Ozone profiles (HARMOZ_ALT, Sofieva et al., 2013). \r\n\r\nA more detailed description of the data processing and dataset parameters can be found in the README and in (Sofieva et al., 2017).", "keywords": "Climate Change Initiative, CCI, Ozone, OSIRIS", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9045/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147160/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32960/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 32964, "uuid": "876e3b41a2d6482db13887914b38a96c", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): SCIAMACHY Level 3 monthly mean zonal mean ozone profiles on an altitude grid, v0001", "abstract": "This dataset provides monthly zonal mean (MZM) ozone profiles from the SCIAMACHY (SCanning Imaging Spectrometer for Atmospheric CHartographY) instrument onboard ENVISAT, created as part of the ESA Ozone Climate Change Initiative project. The data are provided as ozone molar concentration (mol m-3) in 10 degree latitude bands from 90S to 90N, in the altitude range from 5 to 65 km. \r\n\r\nThe SCIAMACHY Level 2 profiles, which are used for the MZM data, are retrieved with the University of Bremen processor UBr v3.5 (Jia et al., 2015) and included into the new version of the HARMonized datasets of Ozone profiles (HARMOZ_ALT, Sofieva et al., 2013). \r\n\r\nA more detailed description of the data processing and dataset parameters can be found in the README and in (Sofieva et al., 2017).", "keywords": "Climate Change Initiative, CCI, Ozone, SCIAMACHY", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9046/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147162/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147168/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32953/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 32968, "uuid": "92e823b277cc4f439803a87f5246db5f", "title": "MIDAS Open: UK daily temperature data, v202107", "abstract": "The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2020. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2020, historical data recovery has added further data for Eskdalemuir (1915-1948) and Eastbourne (1887-1910).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. 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Data are extracted from a sub-set of available tables and delivered to Centre for Environmental Data Analysis (CEDA) approximately on a yearly basis.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10925/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/1186/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26184/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147177/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/1243/?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": 32969, "uuid": "cabc37d867fa4f2a84302350df908693", "title": "MIDAS Open: UK soil temperature data, v202107", "abstract": "The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2020.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2020.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2020. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. 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The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2020.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. 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"title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. 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GOMOS, SCIAMACHY and MIPAS on Envisat; OSIRIS on Odin; ACE-FTS on SCISAT; OMPS on Suomi-NPP; POAM III on SPOT 4 and SAGE III on ISS. The merged dataset is created in the framework of European Space Agency Climate Change Initiative (Ozone_cci) with the aim of analyzing stratospheric ozone trends. For the merged dataset, we used the latest versions of the original ozone datasets. The long-term SAGE-CCI-OMPS+ dataset is created by computation and merging of deseasonalized anomalies from individual instruments. The detailed description of the dataset can be found in (Sofieva et al., 2017) and (Sofieva et al., 2023).\r\n\r\nThe merged SAGE-CCI-OMPS+ dataset consists of deseasonalized anomalies of ozone and ozone concentrations in 10 degree latitude bands from 90S to 90N and from 10 to 50 km in steps of 1 km covering the period from October 1984 to December 2021.", "keywords": "Climate Change Initiative, CCI, Ozone, profiles", "publicationState": "published", "dataPublishedTime": "2023-05-24T13:09:58", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39832/?format=api", "dataPath": "/neodc/esacci/ozone/data/limb_profiles/l3/merged_sage_cci_omps/monthly_zonal_mean/v0002", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 58123579, "numberOfFiles": 2, "fileFormat": "Data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11043/?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/57120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59246/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80057/?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": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14148/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147365/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33011/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2531/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ozone_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33001, "uuid": "e0329fa69dfa49d0903e132dca1c4890", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP), v0001", "abstract": "This dataset comprises the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP) in the stratosphere with a resolved longitudinal structure, which is derived from data by six limb and occultation satellite instruments: GOMOS, SCIAMACHY and MIPAS on Envisat, OSIRIS on Odin, OMPS on Suomi-NPP, and MLS on Aura. The merged dataset was generated as a contribution to the European Space Agency Climate Change Initiative Ozone project (Ozone_cci). The period of this merged time series of ozone profiles is from late 2001 until the end of 2022.\r\n\r\nThe monthly mean gridded ozone profiles and deseasonalised anomalies are provided in the altitude range from 10 to 50 km in bins of 10 degree latitude x 20 degree longitude. \r\n\r\nFor more details please see the associated readme file and Sofieva, V. F., Szeląg, M., Tamminen, J., Kyrölä, E., Degenstein, D., Roth, C., Zawada, D., Rozanov, A., Arosio, C., Burrows, J. P., Weber, M., Laeng, A., Stiller, G. P., von Clarmann, T., Froidevaux, L., Livesey, N., van Roozendael, M. and Retscher, C.: Measurement report: regional trends of stratospheric ozone evaluated using the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP), Atmos. Chem. Phys., 21(9), 6707–6720, doi:10.5194/acp-21-6707-2021, 2021", "keywords": "Climate Change Initiative, CCI, Ozone, profiles", "publicationState": "published", "dataPublishedTime": "2023-05-24T13:10:27", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39818/?format=api", "dataPath": "/neodc/esacci/ozone/data/limb_profiles/l3/megridop/monthly_zonal_mean/v0001", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 755882923, "numberOfFiles": 2, "fileFormat": "Data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11013/?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/54912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59246/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83129/?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/12432/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14147/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14148/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147376/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33002/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2531/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ozone_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33012, "uuid": "7b87da411ecc4ec5bb46165ff634806f", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): Level 3 Total Ozone Merged Data Product, v0200", "abstract": "This dataset is a monthly mean gridded (level 3) total ozone data record produced by the ESA Ozone Climate Change Initiative project (Ozone_cci).\r\n\r\nThe data record covers the period between July 1995 and December 2020 and provides global coverage (except for the polar night) at a spatial resolution of 1°x1°. It is a merged data record combining harmonized data from the Global Ozone Monitoring Experiment (GOME) onboard the second European Remote Sensing satellite (ERS-2), the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) onboard the Environmental Satellite (ENVISAT), the Ozone Monitoring Instrument (OMI) onboard Aura, the GOME-2 instruments onboard the Meteorological Operational (MetOp) satellites A and B, and the Tropospheric Monitoring Instrument (TROPOMI) onboard the Seninel-5 Precursor (S5-P) satellite. 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The aim of this dataset is to study the 2010 weather extremes which have affected Western Russian and Pakistan. The dataset contains data for both the regional and global GCM models provided as NetCDF v3 files. The gridded global model output is at 1.25°x1.875° (N96) horizontal resolution. The regional model output is provided on a rotated longitude-latitude grid at a 50 km (0.44°x0.44°) horizontal resolution centred over South Asia. In order to compare 2010 data to the climatology of the model, the climatology is calculated for the years 1986 to 2016. This dataset has been produced by the University of Oxford, in cooperation the Potsdam Institute for Climate Impact Research and the VU University of Amsterdam in the context of the GOTHAM project, funded by the Belmont Forum through the Natural Environment Research Council (NE/P006779/1). The weather@home model runs on the climateprecictions.net platform, which provides a volunteer distributed computational system.\r\n\r\nThis dataset contains weather@home global and regional simulations for the year 2010 and for the climatology of both models for the period 1986-2016.\r\n\r\nThe data comprises of:\r\n~700 ensemble members for weather@home (global model) for 2010 (batch 778)\r\n~700 ensemble members for weather@home (regional model, South Asia) for 2010 (nested on batch 778)\r\n~170 ensemble members per year for the period (1987-2016) for weather@home (global model) (batch 845)\r\n~100 ensemble members per year for the period (1986-2015) for weather@home (regional model, South Asia) (batch 697, not nested on batch 845)\r\nextracted variables:\r\nAt daily resolution: geopotential height 300 hPa (item16202), meridional wind velocity at 300 hPa (item15202), surface air temperature at 1.5m (item 3236), precipitation (item5216)\r\nAt monthly resolution: soil moisture (item8208)", "keywords": "weather@home, climatology", "publicationState": "citable", "dataPublishedTime": "2021-09-08T07:55:42", "doiPublishedTime": "2021-09-08T10:45:27.457071", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33035/?format=api", "dataPath": "/badc/weather_at_home/data/b778-845_archive", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5355157184461, "numberOfFiles": 41213, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9075/?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/4240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60534/?format=api", 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"ob_id": 33045, "uuid": "2e3a3408af2f4e918458c09d4e5f7460", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Altimeter along-track high resolution sea level anomalies in some coastal regions from ENVISAT (2002-2010) and SARAL (2013-2016) satellite altimetry, v1.1", "abstract": "This dataset contains along-track sea level anomalies derived from satellite altimetry. Altimeter along-track sea level measurements from the RA2 instrument on ENVISAT and the Altika instrument on SARAL satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). \r\n\r\nThe product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. \r\n\r\nThe main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.\r\n\r\nThe Envisat and SARAL/AltiKa missions have the same ground track but the temporal gap between both missions prevents from computing reliable trends during the total period between both missions.\r\n\r\nThis dataset has been produced by the Climate Change Initiative Coastal Sea Level team, within the extension phase of the European Sapce Agency (ESA) Climate Change Initiative.", "keywords": "ESA CCI, SLA", "publicationState": "published", "dataPublishedTime": "2021-12-09T13:53:57", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33234/?format=api", "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/ENVISAT_SARAL/SLA/v1.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14592570173, "numberOfFiles": 1743, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9077/?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/2668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/2669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30296/?format=api" ], "dataLineage": "This dataset has been produced by the Climate Change Initiative Coastal Sea Level team within the extension phase of the European Space Agency (ESA) Climate Change Initiative. 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/33235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12684/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147583/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33047/?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": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33051, "uuid": "1a86e0326e1346febf121eca83bf1f08", "title": "ICOsahedral Nonhydrostatic global radiative-convective equilibrium model data, with additional diabatic heating perturbations", "abstract": "This dataset provides ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) data for global radiative-convective equilibrium (RCE) 5-year simulations. Data files are provided in NetCDF format.\r\n\r\nThe RCE simulations are setup on an aquaplanet with no rotation and no diurnal cycle. To initialise the RCE state, homogenised boundary conditions are set where the solar insolation is 551.58 Wm-2 with a fixed zenith angle of 42.05. Together these values give a constant insolation of 409.6 Wm-2. This is equivalent to the annual mean tropical insolation (Wing et al., 2018). A 360-day calendar is used. The global ocean albedo is set to 0.07. Concentrations of tracers CO2, CH4, N2O and O2 are set to be constant in space and time and the O3 profile is the same as used in Popke et al. (2013). SSTs are kept globally constant throughout each simulation at either 290K or 305K. The model spin-up is done for 1 month, with horizontally homogenised radiative fluxes, where the longwave and shortwave cooling rates are averaged horizontally at each model level and timestep. Then the domain-averaged conditions over the final 5 days of these simulations are used to initialise the simulations, following Wing et al. (2018). Each simulation is then run for 5 years. Model output is given every 5 days, as a 5-day mean. Most simulations have been run with interactive radiation. However, in some, radiative feedbacks have been turned off by horizontally homogenising the radiative cooling rates at each model level and timestep, following Muller & Held (2012).\r\n\r\nSome simulations include a diabatic heating perturbation. This is achieved using the Max Planck Institute Aerosol Climatology version 2, Simple Plume (MACv2-SP) model. This model prescribes idealised aerosol plumes. Parameters that can be tailored include the aerosol optical depth (AOD), single scattering albedo (SSA), and plume spatial extent, and these are given as functions of time and wavelength. In this dataset, we remove any temporal dependence and use constant parameters for each variable. We also only use a single plume in our simulations. Experiments are performed with a single plume at latitude = 0, longitude = 0, AOD = 1.8 and SSA = 0.8. There are a couple of exceptions to this:\r\n- In file crh_aod_sensitivity.nc the AOD is varied from 0.3 to 1.8.\r\n- In files 290K_plume_homogLW_*.nc the AOD used is 1\r\n- In files 305K_plume_homogLW_*.nc the AOD used is 0.8.", "keywords": "ICON, GCM, RCE, diabatic heating", "publicationState": "citable", "dataPublishedTime": "2021-08-25T11:06:01", "doiPublishedTime": "2021-08-26T14:09:27.775058", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33049/?format=api", "dataPath": "/badc/deposited2021/rce_diabatic-heating/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 212425332225, "numberOfFiles": 28, "fileFormat": "Data are netCDF formatted." }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49475/?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/61147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79188/?format=api" ], "dataLineage": "Data were generated using the ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM). ICON was run on the R02B04 grid, which has an approximate horizontal grid-spacing of 160km. The vertical resolution is set by assigning 47 stretched model levels between the surface and model top at 83km. The aerosol plume model used is the Max Planck Institute Aerosol Climatology version 2, Simple Plume (MACv2-SP) model. In this study we have removed any temporal dependence of the aerosols, and we vary only the aerosol optical depth. Data has been provided to Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10921/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/877/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147611/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33050/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33053, "uuid": "f24175ec280b4e1296bb80eb86f88f68", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): High Latitude Sea Level Anomalies from satellite altimetry (by DTU/TUM)", "abstract": "This dataset contains high latitude sea level anomalies produced by DTU (Technical University of Denmark) and TUM (Technical University of Munich) as part of the ESA Sea Level CCI (Climate Change Initiative) project, covering both the Arctic and Antarctic regions.\r\n\r\nThe data comprises weekly means from August 1991 to April 2017 and has been obtained using satellite altimetry data from four satellite missions: ERS1 (weeks 0 - 217); ERS2 (weeks 218 - 573); Envisat (weeks 574 - 1020); CryoSat-2 (weeks 1021 - 1336).\r\n\r\nTwo datasets are available: dataset #1 is based on the ALES+ retracking without correction of the inverse barometer whereas dataset #2 has been corrected for this effect.\r\n\r\nDataset #1 is provided both 'masked' and 'unmasked', where the masked data have been masked using sea ice concentrations downloaded from osisaf.met.no/p/ice. Dataset #2 is provided both 'masked' and 'unmasked', where the masked data have had data points retrieved over land removed from the files.", "keywords": "ESA CCI, SLA", "publicationState": "published", "dataPublishedTime": "2021-12-16T11:13:44", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33439/?format=api", "dataPath": "/neodc/esacci/sea_level/data/DTU_TUM_Arctic_Antarctic_MSLA/20170720/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12545439986, "numberOfFiles": 6593, "fileFormat": "Data are in ascii format.\r\n\r\nFor dataset 1 the columns are:\r\n\r\nLongitude,\r\nLatitude,\r\nHeight (always 0),\r\nSea level anomaly (SLA),\r\nSLA error,\r\nData origin (mission).\r\n\r\nThe time in the filename denotes the beginning of the data, and files contain weekly means.\r\n\r\n\r\nFor Dataset 2 the columns are: \r\n\r\nLongitude,\r\nLatitude,\r\nHeight (always 0),\r\nSea level anomaly (SLA).\r\n\r\nThe filename states the region and the month and year of the dataset (YYYYMM)." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9078/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The product has been developed within the sea level project of the European Space Agency (ESA) Climate Change Initiative. 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/147621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149302/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33445/?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": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33059, "uuid": "ebe625b6f77945a68bda0ab7c78dd76b", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable snow (SCFV) from MODIS (2000 - 2020), version 2.0", "abstract": "This dataset contains Daily Snow Cover Fraction of viewable snow from the MODIS satellite instruments, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction viewable (SCFV) indicates the area of snow viewable from space over all land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel. \r\n\r\nThe global SCFV product is available at about 1 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included. \r\n\r\nThe SCFV time series provides daily products for the period 2000 – 2020. \r\n\r\nThe SCFV product is based on Moderate resolution Imaging Spectroradiometer (MODIS) data on-board the Terra satellite. \r\n\r\nThe retrieval method of the Snow_cci SCFV product from MODIS data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module developed by ENVEO. For the SCFV product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al., 2015). All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.55 µm and 1.6 µm, and an emissive band centred at about 11 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the Snow_cci SCFV retrieval method is applied. \r\n\r\nThe main differences of the Snow_cci snow cover mapping algorithm compared to the GlobSnow algorithm described in Metsämäki et al. (2015) are (i) improvements of the cloud screening approach applicable on a global scale, (ii) the pre-classification of snow free areas on global land areas, (iii) the adaptation of the retrieval method using of a spatially variable ground reflectance instead of global constant values for snow free land, (iv) the update of the constant value for wet snow based on analyses of spatially distributed reflectance time series of MODIS data to assure in forested areas consistency of the SCFV and the SCFG CRDP v2.0 from MODIS data (https://catalogue.ceda.ac.uk/uuid/ebe625b6f77945a68bda0ab7c78dd76b) using the same retrieval approach.\r\n\r\nImprovements of the Snow_cci SCFV version 2.0 compared to the Snow_cci version 1.0 include (i) the utilisation of an updated ground reflectance map derived from statistical analyses of an extended MODIS time series, (ii) an update of the forest mask used for the transmissivity estimation, and (iii) an update of the constant reflectance value for wet snow based on the analysis of time series of the MODIS reflectance at 0.55 µm.\r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the pixel spacing of the SCFV product. Water areas are masked if more than 30 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map. The product uncertainty for observed land pixels is provided as unbiased root mean square error (RMSE) per pixel in the ancillary variable.\r\n\r\nThe SCFV product is aimed to serve the needs for users working in the cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nENVEO is responsible for the SCFV product development and generation from MODIS data, SYKE supported the development.\r\n\r\nThere are a few days without any MODIS acquisitions in the years 2000, 2001, 2002, 2003, 2008, 2016 and 2018. On several days in the years 2000 to 2006, and on a few days in the years 2012, 2015 and 2016, the acquired MODIS data have either only limited coverage, or some of the MODIS data were corrupted during the download process. For these days, the SCFV products are available but have data gaps.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2022-03-17T09:58:00", "doiPublishedTime": "2022-03-17T18:23:56", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/35038/?format=api", "dataPath": "/neodc/esacci/snow/data/scfv/MODIS/v2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 206015589926, "numberOfFiles": 7559, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9201/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45043/?format=api" ], "dataLineage": "The snow_cci SCFV products from MODIS are based on the MODIS/Terra Calibrated Radiances 5-Min L1B Swath 1km (MOD021KM) and the MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km (MOD03) Collection 6.1 data sets, provided by NASA.\r\n\r\nThe snow_cci SCF processing chain for MODIS includes the masking of clouds, the identification of certainly snow free areas, and the classification of snow cover fraction per pixel for all remaining observed pixels. Finally, permanent snow and ice areas as well as water bodies are masked in the SCFV products based on the Land Cover CCI map of the year 2000. All SCFV products are prepared according to the CCI data standards.\r\n\r\nAn automated and a manual quality check was performed on the full time series.\r\n\r\nWe acknowledge Norsk Regnesentral (Norwegian Computing Center, NR) for downloading the MODIS data from NASA, and UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education) for providing the processing infrastructure for the CRDP generation from MODIS.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12064/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147647/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33472/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33060, "uuid": "8847a05eeda646a29da58b42bdf2a87c", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from MODIS (2000-2020), version 2.0", "abstract": "This dataset contains Daily Snow Cover Fraction (snow on ground) from MODIS, produced by the Snow project of the ESA Climate Change Initiative programme.\r\n\r\nSnow cover fraction on ground (SCFG) indicates the area of snow observed from space on land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel. \r\n\r\nThe global SCFG product is available at about 1 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included. \r\n\r\nThe SCFG time series provides daily products for the period 2000 – 2020. \r\n\r\nThe SCFG product is based on Moderate resolution Imaging Spectroradiometer (MODIS) data on-board the Terra satellite. \r\n\r\nThe retrieval method of the Snow_cci SCFG product from MODIS data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module developed by ENVEO. For the SCFG product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al., 2015). All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.55 µm and 1.6 µm, and an emissive band centred at about 11 µm. The Snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. \r\n\r\nThe main differences of the Snow_cci snow cover mapping algorithm compared to the GlobSnow algorithm described in Metsämäki et al. (2015) are (i) improvements of the cloud screening approach applicable on a global scale, (ii) the pre-classification of snow free areas on global land areas, (iii) the usage of spatially variable background reflectance and forest reflectance maps instead of global constant values for snow free land and forest, (iv) the update of the constant value for wet snow based on analyses of spatially distributed reflectance time series of MODIS data, and (v) the update of the global forest canopy transmissivity based on forest density from Hansen et al. (2013) and forest type layers from Land Cover CCI (Defourny, 2019) to assure in forested areas consistency of the SCFG and the SCFV CRDP v2.0 from MODIS data (https://catalogue.ceda.ac.uk/uuid/ebe625b6f77945a68bda0ab7c78dd76b) using the same retrieval approach.\r\n\r\nImprovements of the Snow_cci SCFG version 2.0 compared to the Snow_cci version 1.0 include (i) the utilisation of an updated background reflectance map derived from statistical analyses of an extended MODIS time series, (ii) an update of the forest canopy transmissivity map, and (iii) an update of the constant reflectance value for wet snow based on the analysis of time series of the MODIS reflectance at 0.55 µm.\r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the pixel spacing of the SCFG product. Water areas are masked if more than 30 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map. The product uncertainty for observed land pixels is provided as unbiased root mean square error (RMSE) per pixel in the ancillary variable.\r\n\r\nThe SCFG product is aimed to serve the needs for users working in the cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nENVEO is responsible for the SCFG product development and generation from MODIS data, SYKE supported the development.\r\n\r\nThere are a few days without any MODIS acquisitions in the years 2000, 2001, 2002, 2003, 2008, 2016 and 2018. On several days in the years 2000 to 2006, and on a few days in the years 2012, 2015 and 2016, the acquired MODIS data have either only limited coverage, or some of the MODIS data were corrupted during the download process. For these days, the SCFG products are available but have data gaps.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2022-03-17T09:58:00", "doiPublishedTime": "2022-03-23T14:39:43.105503", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34647/?format=api", "dataPath": "/neodc/esacci/snow/data/scfg/MODIS/v2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 208265531652, "numberOfFiles": 7561, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9200/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api" ], "dataLineage": "The snow_cci SCFG products from MODIS are based on the MODIS/Terra Calibrated Radiances 5-Min L1B Swath 1km (MOD021KM) and the MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km (MOD03) Collection 6.1 data sets, provided by NASA.\r\n\r\nThe snow_cci SCF processing chain for MODIS includes the masking of clouds, the identification of certainly snow free areas, and the classification of snow cover fraction per pixel for all remaining observed pixels. Finally, permanent snow and ice areas as well as water bodies are masked in the SCFG products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. All SCFG products are prepared according to the CCI data standards.\r\n\r\nAn automated and a manual quality check was performed on the full time series.\r\n\r\nWe acknowledge Norsk Regnesentral (Norwegian Computing Center, NR) for downloading the MODIS data from NASA, and UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education) for providing the processing infrastructure for the CRDP generation from MODIS.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12069/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147659/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33465/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33061, "uuid": "763eb87e0682446cafa8c74488dd5fb8", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable (SCFV) from AVHRR (1982 - 2018), version 2.0", "abstract": "This dataset contains Daily Snow Cover Fraction of viewable snow from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction viewable (SCFV) indicates the area of snow viewable from space over land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel. \r\n\r\nThe global SCFV product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.\r\n\r\nThe SCFV time series provides daily products for the period 1982-2018. \r\n\r\nThe product is based on medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the Cloud CCI cloud v3.0 mask product. \r\n\r\nThe retrieval method of the snow_cci SCFV product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre- and post-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.630 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied. Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. \r\n\r\nThe following auxiliary data set is used for product generation: ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water; permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map.\r\n\r\nThe SCFV product is aimed to serve the needs for users working in the cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology and biology.\r\n\r\nThe Remote Sensing Research Group of the University of Bern is responsible for the SCFV product development and generation. ENVEO developed and prepared all auxiliary data sets used for the product generation. \r\n\r\nThe SCFV AVHRR product comprises one longer data gap of 92 between November 1994 and January 1995, and 16 individual daily gaps, resulting in a 99% data coverage over the entire study period of 37 years.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2022-03-17T16:44:03", "doiPublishedTime": "2022-03-17T16:51:03", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34673/?format=api", "dataPath": "/neodc/esacci/snow/data/scfv/AVHRR_MERGED/v2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 27651048076, "numberOfFiles": 13405, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9202/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63202/?format=api" ], "dataLineage": "The snow_cci SCFV product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017, Stengel et al. 2020). \r\n\r\nThe final product is quality checked.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12061/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147673/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33470/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33062, "uuid": "3f034f4a08854eb59d58e1fa92d207b6", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from AVHRR (1982 - 2018), version 2.0", "abstract": "This dataset contains Daily Snow Cover Fraction (snow on ground) from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction on ground (SCFG) indicates the area of snow observed from space over land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel. \r\n\r\nThe global SCFG product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.\r\n\r\nThe SCFG time series provides daily products for the period 1982-2018. \r\n\r\nThe product is based on medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the Cloud CCI cloud v3.0 mask product. \r\n\r\nThe retrieval method of the snow_cci SCFG product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. \r\n\r\nThe following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground.\r\n\r\nThe SCFG product is aimed to serve the needs of users working in cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Remote Sensing Research Group of the University of Bern is responsible for the SCFG product development and generation. ENVEO developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThe SCFG AVHRR product comprises one longer data gap of 92 between November 1994 and January 1995, and 16 individual daily gaps, resulting in a 99% data coverage over the entire study period of 37 years.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2022-03-17T09:58:00", "doiPublishedTime": "2022-03-17T17:30:12", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/35037/?format=api", "dataPath": "/neodc/esacci/snow/data/scfg/AVHRR_MERGED/v2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 26517990507, "numberOfFiles": 13405, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9203/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62644/?format=api" ], "dataLineage": "The snow_cci SCFG product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017, Stengel et al. 2020). \r\nThe final product is quality checked.\r\n\r\nData 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/12062/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147687/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33471/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33067, "uuid": "d1c277836e754e279c9a964ad3d95828", "title": "UKESM1-CH4 output for methane emissions-driven and methane LBC-driven future climate projections under SSP3-7.0 and SSP1-2.6 scenarios", "abstract": "This dataset contains model output for experiments using the UKESM1-CH4 emissions-driven configuration of the UK Earth System model, based on the science version (Sellar et al.,2011, DOI:10.1029/2019MS001739) coupled with the United Kingdom Chemistry and Aerosol scheme (Archibald et al., DOI:10.5194/gmd-13-1223-2020). The simulation follows the experimental design of CMIP6-sponsored ScenarioMIP (O'Neill et al., DOI:10.5194/gmd-9-3461-2016) SSP3-7.0 and SSP1-2.6 Shared Socioeconomic Pathways. These simulation span 2015-2050 and use a coupled atmosphere-ocean climate model. To assess climate model variability, three ensemble members are archived which differ only in the initial conditions for the experiment. The data comprise annual mean output over the experimental period for temperature, ozone, methane, hydroxyl radical, precipitation and provided diagnostic air mass and diagnostics suitable for the calculation of the methane lifetime and budget. We archive data from this methane emissions-driven configuration as NZAME/ensemble experiment as by186(ensemble 1), bz146(ensemble 2) and bz473(ensemble 3). To improve reproducibility the UKESM1 jobids are included as identifiers. For comparison, emissions-driven experiments are included as {Scenario}/JOBID: SSP1-2.6 (bo812), and three ensemble members for SSP3-7.0: bo797(ens 1), ca723(ens 2) and cb039(ens3).", "keywords": "UKESM1-CH4, methane, emissions", "publicationState": "citable", "dataPublishedTime": "2021-09-09T17:04:17", "doiPublishedTime": "2022-01-20T09:52:51", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33068/?format=api", "dataPath": "/badc/deposited2021/ukesm1_methane_emissions/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12979666815, "numberOfFiles": 60, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9080/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2829/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13817/?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/19067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/39023/?format=api" ], "dataLineage": "Data were generated using the UK Earth System Model 1 (UKESM1-CH4) at N96 horizontal resolution over global domain.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10979/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33069/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147715/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33070/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33072, "uuid": "e7e62b725fb44373a36fa3624f9b059e", "title": "APPRAISE CLOUDS: aerosol chemistry from the University of Manchester Aerosol Mass Spectrometer deployed at the Chilbolton Observatory, Hampshire", "abstract": "Data were collected in December 2008 and January to March 2009 by the University of Manchester Aerosol Mass Spectrometer at the Chilbolton Observatory, Hampshire, in support of the FAAM campaign in the South-West of the UK. The dataset contains measurements of mass concentrations of organics, Sulphate, Nitrate, Ammonium and Chloride.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.", "keywords": "appraise, cloud, aerosol mass concentrations", "publicationState": "published", "dataPublishedTime": "2021-11-18T14:35:18", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33073/?format=api", "dataPath": "/badc/appraise/data/clouds/man-ams", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1005834, "numberOfFiles": 3, "fileFormat": "NASA-Ames" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1927/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/92/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52353/?format=api" ], "dataLineage": "Data provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6527/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147728/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33078/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33114, "uuid": "ac43cee2bf5e4942970492209ba95e49", "title": "Surface velocity map of the Afar Rift Zone from 2014-19", "abstract": "This dataset contains a map of ground movements covering the Afar Rift Zone in Ethiopia, Eritrea, and Djibouti for the time period between October 2014 and August 2019. The Afar region is located where three tectonic plates are pulling apart, creating rift segments which are 50-100 km long. Surface deformation on these segments is not constant in time, with episodes of rifting occurring periodically and magma intrusions causing sudden ground movements. We use frequent Sentinel-1 satellite Interferometric Synthetic Aperture Radar (InSAR) observations to measure surface displacements through time across the whole region. We relate these to ground based Global Navigation Satellite Systems (GNSS) observations and combine data from different satellite tracks to produce maps of the average surface velocity in three directions (perpendicular to the rift zone, parallel to the rift zone, and vertical). The continued observation of these time-varying ground movements is important for understanding how continents break up, with data here providing evidence of how tightly focussed extension is around the rift segments and of the subsurface magma movement at several volcanic centres.", "keywords": "Sentinel-1, InSAR, GNSS, velocity, map", "publicationState": "citable", "dataPublishedTime": "2021-09-29T09:40:39", "doiPublishedTime": "2021-10-01T11:03:44", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33111/?format=api", "dataPath": "/neodc/surface_velocities_afar_rift/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3635142350, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9093/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2838/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46611/?format=api" ], "dataLineage": "Sentinel-1 Single Look Complex (SLC) data were sourced from the European Space Agency (ESA) Copernicus Hub, and processed using LiCSAR software (Lazecky et al., 2020). Processing and analysis was then performed by the authors (University of Leeds, COMET) in MATLAB to account for atmospheric effects, estimate uncertainties, create deformation time series and average velocity maps, reference surface velocities to the regional GNSS network (King et al., 2019), and convert velocities from the satellite look direction into rift-perpendicular and rift-parallel horizontal and vertical components. Final velocity maps and variance estimates were exported to NetCDF format for archiving. 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/10952/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33113/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190843/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33168/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33115, "uuid": "aa4106a7a35246dfb84fb925a7d65650", "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: JRA55-do with absolute wind stress experiment (1988 - 2007)", "abstract": "The dataset is a 20 year experiment using a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. The experiment neglects the ocean surface current in the bulk formula calculations for surface fluxes, so-called absolute wind stress. It starts from the end of 1987 of JRA55IAF (Munday et al., 2021).\r\n\r\nForced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation.", "keywords": "oceans, climatologyMeteorologyAtmosphere", "publicationState": "citable", "dataPublishedTime": "2021-09-28T09:30:52", "doiPublishedTime": "2021-10-21T14:03:04", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33118/?format=api", "dataPath": "/bodc/BAS210038/JRA55ABS-ORCH0083-LIM3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21581304390363, "numberOfFiles": 36030, "fileFormat": "Data are CF-compliant NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6782/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2807/?format=api", "nonGeographicFlag": false, "phenomena": [ 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/36350/?format=api" ], "dataLineage": "Data were generated using a Nucleus for European Modelling of the Ocean (NEMO) based model run on Archer, the national HPC platform. Data were submitted to the British Oceanographic Data Centre (BODC, NOC) and then archived at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10955/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32626/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33122/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147893/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33039/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33116, "uuid": "67ad0c489e2b4d18aa152e78f28ae0c0", "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: JRA55-do interannually-varying forced control run (1978 - 2017)", "abstract": "The dataset is a 40 year control run of a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. This is the second of two control runs and was initialised from the end of the 30th year (nominally 1978) of CORE2NYF (Munday et al., 2021), a 3+37 year control run forced with CORE2 (corrected normal year forcing version 2.0) normal year forcing.\r\n\r\nForced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation.", "keywords": "oceans, climatologyMeteorologyAtmosphere", "publicationState": "citable", "dataPublishedTime": "2021-09-28T09:24:14", "doiPublishedTime": "2021-10-21T14:02:54", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33117/?format=api", "dataPath": "/bodc/BAS210037/JRA55IAF-ORCH0083-LIM3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 42946975904824, "numberOfFiles": 72063, "fileFormat": "Data are CF-compliant NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9095/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2807/?format=api", "nonGeographicFlag": false, "phenomena": [ 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The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains summaries of meteorology and chemistry measurements from the EUFAR operators SAFIRE Falcon and ATR 42 aircraft 19th to 21st April 2010 and DLR Falcon Flight on 19 April 2010", "keywords": "Eyjafjallajokull, aircraft, EUFAR, DLR, SAFIRE", "publicationState": "published", "dataPublishedTime": "2010-04-23T18:00:00", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33124/?format=api", "dataPath": "/badc/eyjafjallajokull/data/eufar_operators", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2591500, "numberOfFiles": 7, "fileFormat": "PDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9098/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2840/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "A copy of these data were made available to the British Atmospheric Data Centre (BADC) to assist the academic community during this volcanic ash event.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13984/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147940/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33125/?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": 33126, "uuid": "096690aba290452d9b7208133274b69b", "title": "Acoustic data collected from a glider deployment in the North Sea in June-July 2021 as part of the EU Marine Robots (EUMR) project.", "abstract": "This dataset consists of acoustic data collected using an icListen Smart Hydrophone (model SC35-ETH) integrated into an iRobot M1 Seaglider during a campaign in the North Sea, west of Ireland. The glider was deployed from 22nd June to 25th July 2021 as the sole glider in the campaign on behalf of the EU Marine Robots (EUMR) project. The acoustics data are provided as both raw acoustic waveform (.WAV format) files, and spectral analyses of the data (as ascii .txt files). Once the glider was recovered, the acoustics data were transferred directly from the glider and so no post processing has been completed.\r\nAn error in the instrument system led to an error in the timestamps on the data files. The first waveform was started at 2021-06-27 12:29:42, and this was recorded as 2010-01-01 00:02:30. The timestamps for all filenames and the timestamps of all records in the spectral files have been corrected for this time offset. All the filename name changes are provided in the timestamp_logs directory. In addition, some spectral files were not closed correctly and held multiple records. These files have been split into new files and timestamps corrected accordingly. The details of the new files generated are given in the SBF_recover.txt log file.\r\nThe environmental, positional and engineering parameters collected alongside the acoustic data are available through the British Oceanographic Data Centre (BODC) using the ERDDAP tool below.", "keywords": "Ocean gliders, Acoustic waveforms, Ambient noise, Acoustic spectra", "publicationState": "citable", "dataPublishedTime": "2021-12-01T13:21:07", "doiPublishedTime": "2021-12-16T17:00:36", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33127/?format=api", "dataPath": "/bodc/CSC210177/EUMR_glider_acoustics/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 248012636166, "numberOfFiles": 39947, "fileFormat": "Raw acoustic data in WAV format; Spectral analyses of 10 minute segements of the acoustics files in ASCI text format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9103/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2844/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Acoustics data were collected by an icListen Smart Hydrophone (SC35-ETH) mounted on an iRobot M1 Seaglider deployed in the North Sea. Data were transferred from the glider to a hard drive and then submitted to the British Oceanography Data Centre (BODC, NOC). timestamps included in the files and filenames were updating according to the ice offset from the data provider. Files containing multiple spectra were split into separate files, with appropriate file names. Data were subsequently archived at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10971/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148431/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33250/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33132, "uuid": "ba3ac68281b94c7b9963278681ee8ee5", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.13 (v20211001)", "abstract": "Data for Figure 3.13 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.13 shows annual-mean precipitation rate (mm day-1) for the period 1995-2014.\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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global modelled annual-mean precipitation (mm/day) of CMIP6 for the period 1995–2014\r\n - Global bias of modelled annual-mean precipitation (mm/day) of CMIP6 for the period 1995–2014 to GPCP\r\n - Global root mean square bias of modelled precipitation (mm/day) of CMIP6 for the period 1995–2014 to GPCP\r\n - Global bias of modelled annual-mean precipitation (mm/day) of CMIP5 for the period 1985–2004 to GPCP\r\n\r\nGPCP is the Global Precipitation Climatology Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_13_a.nc\r\n - panel_b/fig_3_13_b.nc\r\n - panel_c/fig_3_13_c.nc\r\n - panel_d/fig_3_13_d.nc\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.13, global mean precipitation", "publicationState": "citable", "dataPublishedTime": "2021-10-29T12:00:13", "doiPublishedTime": "2023-02-08T17:47:18.345920", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33241/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig13/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1085827, "numberOfFiles": 7, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9101/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60415/?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/12359/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147967/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33134/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33141, "uuid": "bfa7f9b9bde5414c96a281fa0a566e0c", "title": "HiTemp: High density temperature and meteorological measurements within the Urban Birmingham conurbation. CSV version as supplied by project team.", "abstract": "This dataset contains temperature and meteorological data from a high density network of meteorological sensors installed within the Birmingham conurbation: This includes low-cost, battery-powered WiFi Aginova Sentinel Micro air temperature sensors, operated at 73 stations and 25 Vaisala WXT520 weather transmitters measuring temperature, precipitation, relative humidity, wind speed and direction, pressure, solar radiation and quality flags. \r\n\r\nThis data is the basic Comma Separated Variable (CSV) format version as supplied by the project team. Reformatted versions with inclusive metadata have superceded this data.\r\n\r\nThese measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)", "keywords": "HiTemp, BUCL, UHI, network of sensors, urban heat island", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33142/?format=api", "dataPath": "/badc/hitemp/data/raw", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2597407524, "numberOfFiles": 28661, "fileFormat": "csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3781/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/775/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data received from BUCL team and stored as supplied at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13923/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147999/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33143/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33152, "uuid": "84fd20b6e5a04271a007e2150eb17c7e", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.18 (v20211001)", "abstract": "Data for Figure 3.18 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.18 shows instantaneous Northern-Hemisphere blocking frequency (% of days) in the extended northern winter season (DJFM) for the years 1979-2000. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains blocking freuency (1979-2000) of\r\n \r\n - ERA5 reanalysis\r\n - CMIP5 and CMIP6 multi-model mean\r\n\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n AR6_WG1_Chap3_Figure3_18_blocking.csv (lines and shading)\r\n Corresponding line and shading colours are described in the metadata associated with the datafile\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.18, blocking frequency", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:18:00", "doiPublishedTime": "2023-02-08T18:02:23.623896", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33244/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig18/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22667, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9109/?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/85603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85610/?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/12364/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148039/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33154/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33155, "uuid": "03cc44f98b0e4a4b97df37662e62be79", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.3 (v20211001)", "abstract": "Data for Figure 3.3 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.3 shows the global annual-mean surface (2 m) air temperature (°C) and the model bias to ERA5.\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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Global modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5\r\n - Global root mean square bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP5 for the period 1985–2004 to reanalysis ERA5\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/tas_mean_cmip6.nc; global map\r\n - panel_b/tas_bias_cmip6.nc; global map\r\n - panel_c/tas_rms_bias_cmip6.nc; global map\r\n - panel_d/tas_bias_cmip5.nc; global map\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.3, near-surface air temperature, global temperature, bias", "publicationState": "citable", "dataPublishedTime": "2021-10-29T12:00:00", "doiPublishedTime": "2023-02-08T17:01:29.914897", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33281/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig03/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1064117, "numberOfFiles": 7, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9110/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67753/?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/12350/?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/32718/?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/148042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148049/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33157/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33158, "uuid": "cf006675070548359e22e36d354d0f92", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.10 (v20211001)", "abstract": "Data for Figure 3.10 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.10 shows observed and simulated tropical mean temperature trends through the atmosphere.\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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Temperature trend from radiosonde, reanalysis and CMIP6 data, including their uncertainty where available.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/ipcc_ar6_chap3_fig_3_10_panel_a_with_metadata.csv \r\n - panel_b/ipcc_ar6_chap3_fig_3_10_panel_b_with_metadata.csv\r\n - panel_c/ipcc_ar6_chap3_fig_3_10_panel_c_with_metadata.csv\r\n\r\nDetails of data provided in relation to each figure panel and its elements are described in the metadata associated with each file.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.10, temperature trends", "publicationState": "citable", "dataPublishedTime": "2021-10-29T12:00:10", "doiPublishedTime": "2023-02-08T17:36:32.037282", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33239/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig10/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16931, "numberOfFiles": 6, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9111/?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/46781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46792/?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/12356/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148058/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33160/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33161, "uuid": "06a4ad1656774087a5b6db3c7a57211e", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.4 (v20211028)", "abstract": "Data for Figure 3.4 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.4 shows observed and simulated time series of the anomalies in annual and global mean near-surface air temperature (GSAT). \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Observed and simulated global near-surface air temperature change (1850-2014) with uncertainty range for simulated time series.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\npanel_a/fig_3_4_panel_a.nc\r\n- black line: model = 60\r\n- red line: model = 59\r\n- colored lines: model = 0, 1, ..., 58\r\npanel_b/tsline_collect_tasa.nc:\r\n- red line: experiment = 0, stat = 0\r\n- blue line: experiment = 1, stat = 0\r\n- red shaded region: experiment = 0, stat = 1 and stat = 2\r\n- blue shaded region: experiment = 1, stat = 1 and stat = 2\r\npanel_b/tsline_collect_tasa_ref.nc\r\n- HadCRUT5: dataset = 0\r\n- BerkleyEarth: dataset = 1\r\n- NOAAGlobalTemp-Interim: dataset = 2\r\n- Kadow: dataset =3\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.4, global near-surface air temperature anomaly", "publicationState": "citable", "dataPublishedTime": "2022-01-31T12:04:00", "doiPublishedTime": "2023-02-08T17:08:32.278656", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34676/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig04/v20211028", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 107476, "numberOfFiles": 6, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9112/?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/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63623/?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/12351/?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/32718/?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/148062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148069/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33163/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33164, "uuid": "b6ca8b2d797348dd86823cfc2da7ba83", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.5 (v20211001)", "abstract": "Data for Figure 3.5 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.5 shows the standard deviation of annually averaged zonal-mean near-surface air temperature.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Simulated (CMIP6) standard deviation of near-surface air temperature\r\n - Observed standard deviation of near-surface air temperature\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nDatafile: fig_3_5.nc, black lines:\r\n - HadCRUT5: model = 62\r\n - BerkleyEarth: model = 61\r\n - NOAAGlobalTemp-Interim: model = 60\r\n - Kadow: model = 59\r\n - colored lines: model = 0, 1, ..., 58\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.5, standard deviation, near-surface air temperature", "publicationState": "citable", "dataPublishedTime": "2021-10-29T12:00:05", "doiPublishedTime": "2023-02-08T17:12:47.856551", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33282/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig05/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3756898, "numberOfFiles": 4, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9113/?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/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67753/?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/12352/?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/32718/?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/148073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148077/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33166/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33169, "uuid": "e7e31b86b2644e0da69090bc37360c97", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction – snow on ground (SCFG) from AATSR (2002 – 2012), version 1.0", "abstract": "This dataset contains Daily Snow Cover Fraction (snow on ground) from AATSR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction on ground (SCFG) indicates the area of snow observed from space on land surfaces, in forested areas corrected for the transparency (“transmissivity”) of the forest canopy. The SCFG is given in percentage (%) per grid cell. \r\n\r\nThe global SCFG product is available at 0.01° grid size (about 1 km) for all land areas, excluding Antarctica and Greenland ice sheet. The coastal zones of Greenland are included. \r\n\r\nThe SCFG time series provides daily products for the period 2002 – 2012. \r\n\r\nThe SCFG product is based on Advanced Along-Track Scanning Radiometer (AATSR) data aboard the Envisat satellite. \r\n\r\nThe retrieval method of the snow_cci SCFG product from AATSR data has been further developed and improved based on the ESA GlobSnow approach (Metsämäki et al. 2015) and complemented with a pre-classification module. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al. 2015), defined as SCDA2.3. All cloud-free pixels are then used for the snow extent mapping, using spectral bands centred at about 659 nm and 1.61 µm, and an emissive band centred at about 10.85 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud-free pixels which are clearly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. \r\n\r\nImprovements to the GlobSnow algorithm implemented for snow_cci version 1 include the usage of a global forest transmissivity map developed and created within snow_cci based on forest density from Hansen et al. (2013) and forest type layers from Land Cover CCI (Defourny 2019). The forest transmissivity map provides the local transparency of the forest canopy and is applied or estimating the fractional snow cover on the ground.\r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the grid size of the SCFG product. Water areas are masked if more than 30% of the grid cell is classified as water, permanent snow and ice areas are masked if more than 50% is identified as such areas in the aggregated map. The product uncertainty for observed land areas is provided as unbiased root mean square error (RMSE) per grid cell in the ancillary variable.\r\n\r\nThe SCFG product aims to serve the needs of users working with the cryosphere and climate research and monitoring activities, including the assessment of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Norwegian Computing Center (Norsk Regnesentral, NR) is responsible for the SCFG product development and generation from AATSR data. The Remote Sensing Research Group of the University of Bern supported the development. ENVEO IT GmbH developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThere are a few days without any AATSR acquisitions in the years 2002, 2003, 2004, 2006, 2008, 2010 and 2012.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2023-08-08T13:20:26", "doiPublishedTime": "2023-08-08T13:20:17.884745", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39795/?format=api", "dataPath": "/neodc/esacci/snow/data/scfg/AATSR/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59896343883, "numberOfFiles": 3558, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11078/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63200/?format=api" ], "dataLineage": "The snow_cci SCFG products from AATSR are based on the AATSR version 4.0 (2021) reprocessed dataset (which is conformant with SLSTR), provided by ESA.\r\n\r\nThe snow_cci SCF processing chain for AATSR includes the masking of clouds, the identification of clearly snow-free areas, and the retrieval of snow cover fraction per grid cell for all remaining observed grid cells. Finally, permanent snow and ice areas as well as water bodies are masked in the SCFG products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. All SCFG products are prepared according to the CCI data standards.\r\n\r\nThe processing chain was developed by Norsk Regnesentral (Norwegian Computing Center, NR), and the processing took place on the Fram supercomputer operated by UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education). \r\n\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) as part of the ESA CCI Open Data Portal.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12672/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148097/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39625/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33170, "uuid": "0aeba0c203c2447b9553a78f99d3a276", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction – snow on ground (SCFG) from ATSR-2 (1995 – 2003), version 1.0", "abstract": "This dataset contains Daily Snow Cover Fraction (snow on ground) from ATSR-2, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction on ground (SCFG) indicates the area of snow observed from space on land surfaces, in forested areas corrected for the transparency (“transmissivity”) of the forest canopy. The SCFG is given in percentage (%) per grid cell. \r\n\r\nThe global SCFG product is available at 0.01° grid size (about 1 km) for all land areas, excluding Antarctica and Greenland ice sheet. The coastal zones of Greenland are included.\r\n \r\nThe SCFG time series provides daily products for the period 1995 – 2003. \r\n\r\nThe SCFG product is based on Along-Track Scanning Radiometer 2 (ATSR-2) data aboard the ERS-2 satellite. \r\n\r\nThe retrieval method of the snow_cci SCFG product from ATSR-2 data has been further developed and improved based on the ESA GlobSnow approach (Metsämäki et al. 2015) and complemented with a pre-classification module. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al. 2015), defined as SCDA2.3. All cloud-free pixels are then used for the snow extent mapping, using spectral bands centred at about 659 nm and 1.61 µm, and an emissive band centred at about 10.85 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud-free pixels which are clearly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. \r\n\r\nImprovements to the GlobSnow algorithm implemented for snow_cci version 1 include the usage of a global forest transmissivity map developed and created within snow_cci based on forest density from Hansen et al. (2013) and forest type layers from Land Cover CCI (Defourny 2019). The forest transmissivity map provides the local transparency of the forest canopy and is applied or estimating the fractional snow cover on the ground.\r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the grid size of the SCFG product. Water areas are masked if more than 30% of the grid cell is classified as water, permanent snow and ice areas are masked if more than 50% is identified as such areas in the aggregated map. The product uncertainty for observed land areas is provided as unbiased root mean square error (RMSE) per grid cell in the ancillary variable.\r\n\r\nThe SCFG product aims to serve the needs of users working with the cryosphere and climate research and monitoring activities, including the assessment of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Norwegian Computing Center (Norsk Regnesentral, NR) is responsible for the SCFG product development and generation from ATSR-2 data. The Remote Sensing Research Group of the University of Bern supported the development. ENVEO IT GmbH developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThere are a few days without any ATSR-2 acquisitions in the years 1995, 1996, 1999, 2000, 2001, 2002 and 2003.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2023-08-08T13:19:55", "doiPublishedTime": "2023-08-08T13:19:45.160827", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39796/?format=api", "dataPath": "/neodc/esacci/snow/data/scfg/ATSR-2/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 38195200395, "numberOfFiles": 2601, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8857/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63200/?format=api" ], "dataLineage": "The snow_cci SCFG products from ATSR-2 are based on the ATSR-2 version 3.0 dataset provided by ESA.\r\n\r\nThe snow_cci SCF processing chain for ATSR-2 includes the masking of clouds, the identification of clearly snow-free areas, and the retrieval of snow cover fraction per grid cell for all remaining observed grid cells. Finally, permanent snow and ice areas as well as water bodies are masked in the SCFG products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. All SCFG products are prepared according to the CCI data standards.\r\n\r\nThe processing chain was developed by Norsk Regnesentral (Norwegian Computing Center, NR), and the processing took place on the Fram supercomputer operated by UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education). \r\n\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) as part of the ESA CCI Open Data Portal.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12671/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148111/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39621/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33171, "uuid": "70061acca284432ca31fd8a5cbd604d0", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction – viewable snow (SCFV) from ATSR-2 (1995 – 2003), version 1.0", "abstract": "This dataset contains Daily Snow Cover Fraction of viewable snow from ATSR-2, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction viewable (SCFV) indicates the area of snow viewable from space over all land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel.\r\n\r\nThe global SCFV product is available at 0.01° grid size (about 1 km) for all land areas, excluding Antarctica and Greenland ice sheet. The coastal zones of Greenland are included. \r\n\r\nThe SCFV time series provides daily products for the period 1995 – 2003. \r\n\r\nThe SCFV product is based on Along-Track Scanning Radiometer 2 (ATSR-2) data aboard the ERS-2 satellite. \r\n\r\nThe retrieval method of the snow_cci SCFV product from ATSR-2 data has been further developed and improved based on the ESA GlobSnow approach (Metsämäki et al. 2015) and complemented with a pre-classification module. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al. 2015), defined as SCDA2.3. All cloud-free pixels are then used for the snow extent mapping, using spectral bands centred at about 659 nm and 1.61 µm, and an emissive band centred at about 10.85 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud-free pixels which are clearly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied. Improvements to the GlobSnow algorithm implemented for snow_cci version 1 include adaptation of the retrieval method for mapping in forested areas the SCFV. \r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the grid size of the SCFV product. Water areas are masked if more than 30% of the grid cell is classified as water, permanent snow and ice areas are masked if more than 50% is identified as such areas in the aggregated map. The product uncertainty for observed land areas is provided as unbiased root mean square error (RMSE) per grid cell in the ancillary variable.\r\n\r\nThe SCFV product aims to serve the needs of users working with the cryosphere and climate research and monitoring activities, including the assessment of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Norwegian Computing Center (Norsk Regnesentral, NR) is responsible for the SCFV product development and generation from ATSR-2 data. The Remote Sensing Research Group of the University of Bern supported the development. ENVEO IT GmbH developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThere are a few days without any ATSR-2 acquisitions in the years 1995, 1996, 1999, 2000, 2001, 2002 and 2003.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2023-08-08T13:19:00", "doiPublishedTime": "2023-08-08T13:18:52.243127", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39798/?format=api", "dataPath": "/neodc/esacci/snow/data/scfv/ATSR-2/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 37880078293, "numberOfFiles": 2601, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11079/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63202/?format=api" ], "dataLineage": "The snow_cci SCFV products from ATSR-2 are based on the ATSR-2 version 3.0 dataset provided by ESA.\r\n\r\nThe snow_cci SCF processing chain for ATSR-2 includes the masking of clouds, the identification of clearly snow-free areas, and the retrieval of snow cover fraction per grid cell for all remaining observed grid cells. Finally, permanent snow and ice areas as well as water bodies are masked in the SCFV products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. All SCFV products are prepared according to the CCI data standards.\r\n\r\nThe processing chain was developed by Norsk Regnesentral (Norwegian Computing Center, NR), and the processing took place on the Fram supercomputer operated by UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education).\r\n\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) as part of the ESA CCI Open Data Portal.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12670/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148125/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39627/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33172, "uuid": "d7773cb976d64b1c900a518773428df6", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction – viewable snow (SCFV) from AATSR (2002 – 2012), version 1.0", "abstract": "This dataset contains Daily Snow Cover Fraction of viewable snow from AATSR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction viewable (SCFV) indicates the area of snow viewable from space over all land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel. \r\n\r\nThe global SCFV product is available at 0.01° grid size (about 1 km) for all land areas, excluding Antarctica and Greenland ice sheet. The coastal zones of Greenland are included. \r\nThe SCFV time series provides daily products for the period 2002 – 2012. \r\n\r\nThe SCFV product is based on Advanced Along-Track Scanning Radiometer (AATSR) data aboard the Envisat satellite. \r\n\r\nThe retrieval method of the snow_cci SCFV product from AATSR data has been further developed and improved based on the ESA GlobSnow approach (Metsämäki et al. 2015) and complemented with a pre-classification module. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al. 2015), defined as SCDA2.3. All cloud-free pixels are then used for the snow extent mapping, using spectral bands centred at about 659 nm and 1.61 µm, and an emissive band centred at about 10.85 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud-free pixels which are clearly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied. Improvements to the GlobSnow algorithm implemented for snow_cci version 1 include adaptation of the retrieval method for mapping in forested areas the SCFV.\r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the grid size of the SCFV product. Water areas are masked if more than 30% of the grid cell is classified as water, permanent snow and ice areas are masked if more than 50% is identified as such areas in the aggregated map. The product uncertainty for observed land areas is provided as unbiased root mean square error (RMSE) per grid cell in the ancillary variable.\r\n\r\nThe SCFV product aims to serve the needs of users working with the cryosphere and climate research and monitoring activities, including the assessment of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Norwegian Computing Center (Norsk Regnesentral, NR) is responsible for the SCFV product development and generation from AATSR data. The Remote Sensing Research Group of the University of Bern supported the development. ENVEO IT GmbH developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThere are a few days without any AATSR acquisitions in the years 2002, 2003, 2004, 2006, 2008, 2010 and 2012.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2023-08-08T13:18:27", "doiPublishedTime": "2023-08-08T13:18:16.922994", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39797/?format=api", "dataPath": "/neodc/esacci/snow/data/scfv/AATSR/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 63476170290, "numberOfFiles": 3558, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11080/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63202/?format=api" ], "dataLineage": "The snow_cci SCFV products from AATSR are based on the AATSR version 4.0 (2021) reprocessed dataset (which is conformant with SLSTR), provided by ESA.\r\n\r\nThe snow_cci SCF processing chain for AATSR includes the masking of clouds, the identification of clearly snow-free areas, and the retrieval of snow cover fraction per grid cell for all remaining observed grid cells. Finally, permanent snow and ice areas as well as water bodies are masked in the SCFV products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. All SCFV products are prepared according to the CCI data standards.\r\n\r\nThe processing chain was developed by Norsk Regnesentral (Norwegian Computing Center, NR), and the processing took place on the Fram supercomputer operated by UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education). \r\n\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) 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/12669/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148139/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/39619/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33174, "uuid": "bbb759da50fe4cd5a1387c7462655908", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.9 (v20211028)", "abstract": "Data for Figure 3.9 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.9 shows global, land, ocean and continental annual mean near-surface air temperatures anomalies in CMIP6 models and observations. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has ten panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e, panel_f, panel_g, panel_h, panel_i and panel_j.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Observed global near-surface air temperature change (1850-2020). \r\n - CMIP6 historical anthropogenic and natural global warming (1850-2020).\r\n - CMIP6 historical natural-only global warming (1850-2020).\r\n - CMIP6 historical greenhouse gas only global warming (1850-2020).\r\n - CMIP6 historical aerosol only global warming (1850-2020).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_9_a.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_b/fig_3_9_b.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_c/fig_3_9_c.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_d/fig_3_9_d.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_e/fig_3_9_e.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_f/fig_3_9_f.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_g/fig_3_9_g.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_h/fig_3_9_h.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_i/fig_3_9_i.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_j/fig_3_9_j.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n \r\nPlotted data corresponds to the following \"exp\" and \"stat\" indices:\r\n brown line: exp = 0, stat = 0\r\n green line: exp = 1, stat = 0\r\n grey line: exp = 2, stat = 0\r\n blue line: exp =3, stat = 0\r\n black line: exp = 4, stat = 0\r\n shaded regions: stat = 1 and 2, exp = 0, 1, 2 and 3\r\nThe ensemble spread (shaded regions) of CMIP6 data shown in figure 3.9 are the mean, 5th and 95th percentiles. The in-file metadata labels the same ensemble spread as the mean, min and max.\r\n\r\npanel_a: Global Ocean\r\npanel_b: Global\r\npanel_c: Global Land\r\npanel_d: North America\r\npanel_e: Central and South America\r\npanel_f: Europe and North Africa\r\npanel_g: Africa\r\npanel_h: Asia\r\npanel_i: Australasia\r\npanel_j: Antarctica\r\n\r\nAcronyms - CMIP6 - The sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.9, global near-surface air temperature", "publicationState": "citable", "dataPublishedTime": "2022-03-09T10:47:43", "doiPublishedTime": "2023-02-08T17:35:27.821381", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33249/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig09/v20211028", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 201466827, "numberOfFiles": 13, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9114/?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/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60412/?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/12355/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148159/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33176/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33177, "uuid": "7273023a04d24da58ec5d83343cd861d", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.12 (v20211001)", "abstract": "Data for Figure 3.12 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.12 shows column water vapor path trends (%/decade) for the period 1998-2019 averaged over the near-global oceans (50°S-50°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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains water vapor path trends for the period 1998-2019 for:\r\n \r\n - observed average (RSS and ERA5)\r\n - simulated bins (CMIP5 and CMIP6)\r\n - simulated fit (CMIP5 and CMIP6)\r\n\r\nRSS (Remote Sensing Systems) refers to geophysical data collected by satellite microwave sensors.\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - atmosphere_mass_content_of_water_vapor_trend_era5.nc (var = 'prw_trend', purple line)\r\n - atmosphere_mass_content_of_water_vapor_trend_rss.nc (var = 'prw_trend', orange line)\r\n - atmosphere_mass_content_of_water_vapor_trends_kde_fit_cmip5.nc (var = 'trend_bins', blue line)\r\n - atmosphere_mass_content_of_water_vapor_trends_kde_fit_cmip6.nc (var = 'trend_bins', red line)\r\n - atmosphere_mass_content_of_water_vapor_trends_pdf_cmip5.nc (var = 'trend_bins', blue bars)\r\n - atmosphere_mass_content_of_water_vapor_trends_pdf_cmip6.nc (var = 'trend_bins', red bars)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.12, water vapor path trend", "publicationState": "citable", "dataPublishedTime": "2021-10-29T12:00:12", "doiPublishedTime": "2023-02-08T17:44:06.056698", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33240/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig12/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 48305, "numberOfFiles": 9, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9115/?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/40721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40729/?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/12358/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148173/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33179/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33180, "uuid": "e3d21f98cc764d1185b0d6e662532831", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.42 (v20211001)", "abstract": "Data for Figure 3.42 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.42 shows relative space-time root-mean-square deviation (RMSD) calculated from the climatological seasonal cycle of the CMIP simulations (1980-1999) compared to observational datasets. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the grade value of the performance metrics for all diagnostics (variables) and models.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/fig_3_42_a.nc and panel_b/fig_3_42_b.nc:\r\n \r\n - variable 'grade' with three dimensions:\r\n * 'diagnostics': variables on the y-axis of the metrics plot\r\n * 'models': models on the x-axis of the metrics plot\r\n * 'reference': 0: upper triangle; 1: lower triangle\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.42, performance metrics", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:42:00", "doiPublishedTime": "2023-02-08T19:34:34.315760", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33247/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig42/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 52371, "numberOfFiles": 5, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9116/?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/46723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70811/?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/12388/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148183/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33182/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33186, "uuid": "ea70491805b14edf957d69cbc27a8d81", "title": "EUMETNET Sandbox: Met Office WOW data v1", "abstract": "The Met Office WOW V1 dataset contains observations from all Public Weather Stations (PWS) contributing to WOW (Weather Observations Website) within Europe. The dataset is for a single year (2020), made available for use within the EUMETNET Sandbox project. EUMETNET (a grouping of 31 European National Meteorological Services) instigated the EUMETNET Sandbox project to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe data are not quality controlled and are presented in the format provided by the Met Office. The data are provided in a single file per month.\r\n\r\nThe data were extracted from the WOW database using a latitude/longitude bounding box (North West corner 90N 70W to South East corner 10N 40E) so there are a small number of stations outside of Europe present.\r\n\r\nThe meteorological values are unchanged from those extracted from the WoW archive. For example, there is no Quality Control of the data, no calibration of the instruments and no unit conversions have been applied.\r\n\r\nThe data were extracted from the WoW archive by the Met Office operators of the WoW system. The data have not been manipulated to meet any international data format standards. The file names have been modified, from those provided by the Met Office, to contain location, data and status information.\r\n\r\nThe records for each station are comma separated. Not all sites report all variables, nor at all times. In most cases only the principle meteorological variables, e.g., Air temperature, Wet bulb, etc. are present. For a full list of available parameters within the files see the 'variables' information on this record.", "keywords": "EUMETNET, WOW, meteorology, Europe, land, daily, hourly", "publicationState": "published", "dataPublishedTime": "2021-10-18T14:35:32", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33183/?format=api", "dataPath": "/badc/eumetnet-sandbox/data/metoffice-wow/v1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 49724282402, "numberOfFiles": 25, "fileFormat": "Data are ASCII formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9124/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2867/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12731/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40244/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40246/?format=api" ], "dataLineage": "Data were extracted from the Met Office WOW (Weather Observers Website) database and prepared by the data provider before upload for archiving at the Centre for Environmental Data Analysis (CEDA). Data were originally provided to WOW by Public Weather Stations (PWS) from a range of sites, mainly in Europe but some further afield. Data were provided with MD5s to allow checking of data during upload and ingest to ensure no corruptions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33185/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33184/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148201/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33230/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2654/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "eumetnet-ukmo-wow", "label": "restricted: eumetnet-ukmo-wow group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo-wow_runcgl_licence.pdf", "licenceClassifications": "specific" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33187, "uuid": "e8793d74a651426692faa100e3b2acd3", "title": "EUMETNET Sandbox: Netatmo observing network data v1", "abstract": "The Netatmo V1 dataset contains observations from all Public Weather Stations (PWS) contributing to the Netatmo database within Europe. Netatmo is a company that designs and manufactures a range of smart weather station instruments for the home. The dataset is for a single year (2020), made available for use within the EUMETNET Sandbox project. EUMETNET (a grouping of 31 European National Meteorological Services) instigated the EUMETNET Sandbox project to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe data are not quality controlled and are presented in the format provided by Netatmo. The data are provided in a single file per month per country*.\r\n\r\nThe data were extracted from the Netatmo database country by country. \r\n\r\nThe meteorological values are unchanged from those extracted from the Netatmo archive. For example, there is no Quality Control of the data, no calibration of the instruments and no unit conversions have been applied. \r\n\r\nThe data were extracted from the Netatmo database by Netatmo operators of the Netatmo system. The data have not been manipulated to meet any international data format standards. \r\n\r\nFor each station there is always a metadata file 'n'.metadata.json. There are up to 4 data files associated with each station represented by a metadata file. In some cases, all 4 data files are present for the station. In other cases, only one data file is present. The 'n' in the file name allows the metadata file to be associated with the meteorological data files\r\n\r\n1. n.pressure.historic.csv - surface pressure for station n\r\n2. n.outdoor.historic.csv - Contains air temperature and humidity for station n\r\n3. n.wind.historic.csv - Contains wind and gust data for station n\r\n4. n.rain.historic.csv - rainfall data for station n\r\n\r\nThe data files are semi-colon separated and use UNIX epoch time \r\n*Countries present in the Netatmo dataset\r\n\r\nAustria, Spain, Iceland, Norway, Belgium, Finland, Italy, Poland, Switzerland, France, Luxembourg, Portugal, Cyprus, United Kingdom, Latvia, Serbia, Czech Republic, Greece, Montenegro, Sweden, Germany, Croatia, North Macedonia, Slovenia, Denmark, Hungary, Malta, Slovakia, Estonia, Ireland and the Netherlands", "keywords": "EUMETNET, Netatmo, meteorology, Europe, land, daily, hourly", "publicationState": "published", "dataPublishedTime": "2021-10-18T14:39:31", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33188/?format=api", "dataPath": "/badc/eumetnet-sandbox/data/netatmo/v1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 170777431781, "numberOfFiles": 745, "fileFormat": "Data are provided in ASCII files within compressed TAR ball. See documentation for file format information." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9123/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/929/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/40292/?format=api" ], "dataLineage": "The data were extracted from the Netatmo database country by country and supplied to the project partners. These were then prepared and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) alongside MD5 values for each file, used to ensure data transfer and ingestion were without corruption.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33185/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33184/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148202/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33229/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2653/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "eumetnet-netatmo", "label": "restricted: eumetnet-netatmo group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/netatmo_licence.pdf", "licenceClassifications": "specific, unclear" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33189, "uuid": "44adfc4f92834bd9950341dd24d6d2e0", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.23 (v20211001)", "abstract": "Data for Figure 3.23 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.23 shows multi-model-mean bias of (a) sea surface temperature and (b) near-surface salinity, defined as the difference between the CMIP6 multi-model mean and the climatology from the World Ocean Atlas 2018. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global bias of modelled annual-mean sea surface temperature (°C) of CMIP6 for the period 1995–2014 to WOA 2018\r\n - Global bias of modelled annual-mean sea surface salinity (PSS-76) of CMIP6 for the period 1995–2014 to WOA 2018\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nWOA 2018 is the World Ocean Atlas 2018.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_23_a.nc (sst, CMIP6 Sea Surface Temperature Bias)\r\n - panel_b/fig_3_23_b.nc (sss, CMIP6 Sea Surface Salinity Bias)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.23, global sea surface temperature, global sea surface salinity", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:23:00", "doiPublishedTime": "2023-02-08T18:07:30.757494", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33246/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig23/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 544281, "numberOfFiles": 5, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9117/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67755/?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/12369/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148219/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33191/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33192, "uuid": "8c9c35e4c877440abcaa10b9aa173c33", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.14 (v20211001)", "abstract": "Data for Figure 3.14 from Chapter 3 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 3.14 shows wet and dry region tropical mean (30°S-30°N) annual precipitation anomalies.\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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains timeseries (1988-2020) of annual precipitation anomalies from\r\n\r\n - observation (GPCP)\r\n - reanalysis (ERA5)\r\n - multi-model mean (CMIP6)\r\n\r\nGPCP is the Global Precipitation Climatology Project.\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/AR6_WG1_Chap3_Figure3_14_panel_a_wetdry.csv (timeseries for wet regions)\r\n - panel_b/AR6_WG1_Chap3_Figure3_14_panel_b_wetdry.csv (timeseries for dry regions)\r\n - panel_c/AR6_WG1_Chap3_Figure3_14_panel_c_wetdry.csv (scaling factors for wet regions)\r\n - panel_d/AR6_WG1_Chap3_Figure3_14_panel_d_wetdry.csv (scaling factors for dry regions)\r\n Details on data provided in relation to each figure panel and its elements in the metadata associated to the corresponding files.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.14, Tropical precipitation, detection and attribution", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:14:00", "doiPublishedTime": "2023-02-08T17:57:21.363075", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33242/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig14/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 111783, "numberOfFiles": 7, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9118/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2877/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86242/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86243/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86244/?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/12360/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148231/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33194/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33195, "uuid": "a6b79b1abac64d72a1a3f2fcf62ee81e", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.15 (v20211001)", "abstract": "Data for Figure 3.15 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.15 shows observed and simulated time series of anomalies in zonal average annual mean precipitation.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for five panels in subdirectories named panel_a, panel_c, panel_d, panel_e and panel_f.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Observed precipitation change (1950-2014). \r\n - Historical anthropogenic and natural precipitation change (1950-2014).\r\n - Historical natural-only precipitation change (1950-2014).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_15_a.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_c/fig_3_15_c.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_d/fig_3_15_d.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_e/fig_3_15_e.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_f/fig_3_15_f.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n * brown line: exp = 0, stat = 0\r\n * green line: exp = 1, stat = 0\r\n * shaded regions: exp = 1 or 2, stat = 1 and 2\r\n * black lines: exp = 2, stat = 0 (GHCN), stat = 1 (GPCP-SG), stat = 2 (CRU)\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nGHCN is the Global Historical Climatology Network.\r\nGPCP-SG refers to the Global Precipitation Climatology Project and Satellite-Guage combined precipitation dataset.\r\nCRU refers to the Climatic Research Unit gridded Time Series climate dataset.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.15, precipitation anomaly", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:15:00", "doiPublishedTime": "2023-02-08T17:58:47.516390", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33243/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig15/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33224, "numberOfFiles": 8, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9119/?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/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60415/?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/12361/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148241/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33197/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33198, "uuid": "7493e7dd46854227beb4f891a80a1016", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.19 (v20211001)", "abstract": "Data for Figure 3.19 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.19 shows long-term mean (thin black contour) and linear trend (colour) of zonal mean DJF zonal winds over 1985-2014 in the SH. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - ERA5 zonal-mean wind (1985-2014)\r\n - ERA5 zonal-mean wind trend (1985-2014)\r\n - CMIP6 zonal-mean wind (1985-2014)\r\n - CMIP6 zonal-mean wind trend (1985-2014)\r\n\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_19_a_mean.nc (contour, ERA5 mean)\r\n - panel_a/fig_3_19_a_trend.nc (color, ERA5 trend)\r\n - panel_b/fig_3_19_b_mean.nc (contour, CMIP6 mean)\r\n - panel_b/fig_3_19_b_trend.nc (color, CMIP6 trend)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.19, trend of zonal-mean wind", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:19:00", "doiPublishedTime": "2023-02-08T18:03:14.199801", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33245/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig19/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 229043, "numberOfFiles": 7, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9120/?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/19854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67756/?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/12365/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148244/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148246/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148248/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148249/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148251/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33200/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33201, "uuid": "80c10f8aeb7049778c5a15ede4917128", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.43 (v20211001)", "abstract": "Data for Figure 3.43 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.43 shows centred pattern correlations between models and observations for the annual mean climatology over the period 1980-1999. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains all correlation pattern values displayed in the figure.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_3_43.nc:\r\n \r\n - variable: 'cor' with two dimensions:\r\n * 'vars': variables on the x-axis (same order as in the figure)\r\n * 'models': name of each models (the attribute 'project' contains mapping to 'CMIP3', 'CMIP5' or 'CMIP6')\r\n\r\n'cor' refers to the pattern correlation between models and observations.\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n \r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.43,pattern correlation", "publicationState": "citable", "dataPublishedTime": "2021-10-31T12:43:00", "doiPublishedTime": "2023-02-08T19:35:20.234889", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33248/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig43/v20211001/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 41061, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9121/?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/46724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63641/?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/12389/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148261/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33203/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33207, "uuid": "0e80e12edb7e4dc9b9219df77c0fe9d6", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.25 (v20211005)", "abstract": "Data for Figure 2.25 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 2.25 shows changes in permafrost temperature for 4 Arctic regions over the period 1974-2019 shown as average departures from the International Polar Year (2007-2009) baseline.\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\nGulev, 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\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains regional average departures (anomalies) of observed permafrost temperature relative to International Polar Year (2007-20909) baseline from 1974-2019 for 4 regions as defined in Romanovsky et al. (2017):\r\n \r\n - Permafrost temperature Barents region (1974-2019)\r\n - Permafrost temperature Baffin Bay Davis Strait region (1979-2019)\r\n - Permafrost temperature anomaly Beaufort-Chukchi Sea region (1978-2019)\r\n - Permafrost temperature Interior Alaska and Central Mackenzie Valley NWT (1983-2019)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.25\r\n Data file: Arctic_permafrost_temperature_anomaly.csv; (annual data, average regional anomalies) relates to green line (Barents), purple line (Baffin), blue line (Beaufort-Chukchi) and red line (Interior Alaska and Central Mackenzie Valley)\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 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 - Link to input data figure 2.25.", "keywords": "IPCC-DDC, IPCC, Intergovernmental Panel on Climate Change, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.25, Permafrost, Arctic, Ground Temperature", "publicationState": "citable", "dataPublishedTime": "2023-05-15T10:29:52", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39220/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig25/v20211005", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5874, "numberOfFiles": 4, "fileFormat": "BADC-CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9125/?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/64247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65397/?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": [], "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" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148284/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33209/?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": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3", "abstract": "This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. \r\n\r\nThis release of the data is version 3. Compared to version 2, this is a consolidated version of the Above Ground Biomass (AGB) maps. This version also includes a preliminary estimate of AGB changes for two epochs.\r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nIn addition, files describing the AGB change between 2018 and the other two years are provided (labelled as 2018_2010 and 2018_2017). These consist of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.\r\n\r\nData are provided in both netcdf and geotiff format.", "keywords": "ESA, CCI, Biomass", "publicationState": "citable", "dataPublishedTime": "2021-11-25T12:12:01", "doiPublishedTime": "2021-11-26T13:38:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33219/?format=api", "dataPath": "/neodc/esacci/biomass/data/agb/maps/v3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 187315069883, "numberOfFiles": 2916, "fileFormat": "Data are netCDF and geotiff formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8795/?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/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/41232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/41233/?format=api" ], "dataLineage": "Data was created by the Biomass CCI team.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10964/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29954/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148325/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33268/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2542/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33222, "uuid": "119a5d4795c94d2e94f610647640edc0", "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by CORE2 data", "abstract": "Monthly output from an integration of the GO6 configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the CORE2 (Coordinated Ocean-ice Reference Experiments version 2.0) corrected inter-annual forcing (CIAF) surface field dataset. UK Global Ocean GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2007. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ap795.\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1).", "keywords": "Oceans, sea-ice, temperature, salinity", "publicationState": "citable", "dataPublishedTime": "2021-10-22T15:03:11", "doiPublishedTime": "2021-10-28T12:36:16", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33220/?format=api", "dataPath": "/bodc/SOC210128/CORE2-AP795", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2365963039496, "numberOfFiles": 3003, "fileFormat": "Data are CF-compliant NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9129/?format=api", "geographicExtent": 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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. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nPanel a: Synthesis of assessment of observed change in hot extremes and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel b: Synthesis of assessment of observed change in heavy precipitation and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel c: Synthesis of assessment of observed change in agricultural and ecological drought and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\n\r\n·\tData file: panel_a/SPM3_panel_a.csv (AR6 world regions, observed change in hot extremes, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (red), [decrease](blue),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n·\tData file: panel_b/SPM3_panel_b.csv (AR6 world regions, observed change in heavy precipitation, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (green), [decrease](yellow),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: panel_c/SPM3_panel_c.csv (AR6 world regions, observed change in agricultural and ecological drought, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (yellow), [decrease](green),[low agreement in type of change](white/grey),[limited data and/or literature](grey) \r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe data in the files is an assessment of section 11.9 in chapter 11 that is provided in the second first two columns of the tables in that section.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.3, Extremes, Chapter 11.", "publicationState": "published", "dataPublishedTime": "2021-10-22T09:40:48", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33237/?format=api", "dataPath": "/badc/ar6_wg1/data/spm/spm_03/v20210809", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17260, "numberOfFiles": 6, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9132/?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/65386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86919/?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": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148408/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33238/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33251, "uuid": "a0708d25b4fc44c5ab1b06e12fef2f2e", "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by DFS5.2 data", "abstract": "Monthly output from an integration of the UK Global Ocean, GO6, configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the DFS5.2 (Drakkar Forcing Set: Dussin et al, 2016) surface field dataset. GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2015. The sea-ice fields are only available for the period 1958 to 2008. 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62299/?format=api" ], "dataLineage": "Data were generated using a Nucleus for European Modelling of the Ocean (NEMO) based model run on Archer, the national HPC platform. Data were submitted to the British Oceanographic Data Centre (BODC, NOC) and then archived at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10956/?format=api" ], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33256/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148447/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33221/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33257, "uuid": "02fd1d886bad40f3bb2eef3271900823", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.13 (v20211022)", "abstract": "Input Data for Figure 2.13 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 2.13 shows the global trends in surface specific humidity and surface relative humidity over 1973-2019\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\nGulev, 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\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for panels (a) HadISDH_blendq_1_0_0_2019f.nc and (c) HadISDH_blendRH_1_0_0_2019f.nc \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global maps of specific and relative humidity trends over 1973-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n This dataset is the input data used in the code that generates panel (a) and panel (c) for figure 2.13 \r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The following changes to filenames were made to archive the data (due to filenaming restrictions). To use the data with any associated figure code, the filenames should be reverted.\r\n\r\n HadISDH_blendq_1_0_0_2019f.nc -> HadISDH.blendq.1.0.0.2019f.nc \r\n HadISDH_blendRH_1_0_0_2019f.nc -> HadISDH.blendRH.1.0.0.2019f.nc \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 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 - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, Intergovernmental Panel on Climate Change, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.13, global specific humidity, global relative humidity", "publicationState": "citable", "dataPublishedTime": "2022-07-15T08:31:55", "doiPublishedTime": "2023-07-04T14:25:11", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37674/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/inputdata_ch2_fig13/v20211022", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 81050071, "numberOfFiles": 5, "fileFormat": "txt, netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9135/?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/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63804/?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/12625/?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" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196292/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33259/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33260, "uuid": "8ec2d4b94f8e4756ad31858ff8256464", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.15 (v20211022)", "abstract": "Input data for Figure 2.15 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 2.15 provides global precipitation trend maps and time series for a variety of data sources\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\nGulev, 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\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with input data provided for panel (a) (cru_masked_2019_2), panels (b) and (e) (gpcc_v2020_msk2.nc), panel (d) (cru_masked_2019_2.nc), and panel (f) (gpcp2019.nc)\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global precipitation data from a variety of sources covering the period 1891-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n This dataset is the input data used in the code that generates panels (a), (b), (d), (e) and (f) for figure 2.15. \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 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 - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, Intergovernmental Panel on Climate Change, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.15, global precipitation", "publicationState": "citable", "dataPublishedTime": "2022-07-15T08:32:09", "doiPublishedTime": "2023-07-04T14:37:17", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37675/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/inputdata_ch2_fig15/v20211022", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 267591347, "numberOfFiles": 6, "fileFormat": "txt, netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9136/?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/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49482/?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/12626/?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" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196293/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33262/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33264, "uuid": "b735718d66c1403fbf6b93ba3bd3b1a9", "title": "A-CURE: Monthly mean perturbed parameter ensemble data", "abstract": "A-CURE was a NERC funded project that tackled one of the most challenging and persistent problems in atmospheric science – understanding and quantifying how changes in aerosol particles caused by anthropogenic activities affect climate. The data here are monthly mean variable data from a large perturbed parameter ensemble of UKESM1 simulations, nudged to horizontal winds above around 2km. Each variable has 220 or 221 members, as indicated in file names. Some months have one fewer member because a model variant repeatedly did not run to completion due to combined model parameter values. The 221 members are model variants that combine the effects of 54 aerosol and physical atmosphere parameters. Variable data in this ensemble span the uncertainty in UKESM1 from these parametric sources.", "keywords": "aerosol, climate, atmosphere, emissions, ppe", "publicationState": "published", "dataPublishedTime": "2021-11-18T14:36:58", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33269/?format=api", "dataPath": "/badc/a-cure/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 89335134563, "numberOfFiles": 110, "fileFormat": "The data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9137/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2872/?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/19043/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67812/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).\r\n\r\nData were generated using the Met Office UK Earth System Model 1 (UKESM1) at N96 horizontal resolution. Data from field files were converted to postprocessed (pp) files on the ARCHER HPC. Variable data from each model variant was extracted from pp files on the JASMIN HPC and collated into individual monthly mean files for each variable.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33263/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148493/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33265/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33272, "uuid": "b0cf5a39647e4036bd5351274c5daa5f", "title": "Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016", "abstract": "The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section.", "keywords": "ocean reanalysis, smnoother, temperature, salinity", "publicationState": "citable", "dataPublishedTime": "2021-10-29T12:25:59", "doiPublishedTime": "2021-10-29T12:49:19", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33270/?format=api", "dataPath": "/neodc/ocean_reanalysis/smoother/data/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 31328941517, "numberOfFiles": 32, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9138/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2873/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70763/?format=api" ], "dataLineage": "Data were prepared by the NCEO DA team at the University of Reading and provided to CEDA for archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10959/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148518/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33271/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33275, "uuid": "6a6ccbb8ef2645308a60dc47e9b8b5fb", "title": "BICEP / NCEO: Monthly global Phytoplankton Carbon, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v5.0 dataset)", "abstract": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nA spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).\r\n\r\nReferences:\r\n\r\nSathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Marañón, E.; Kulk, G.; Bouman, H.A. Reconciling models of primary production and photoacclimation. Applies Optics, 2020, 59, C100. doi.org/10.1364/AO.386252\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovač, Ž.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12,826. doi:10.3390/rs12050826", "keywords": "phytoplankton, carbon, ocean colour, remote sensing", "publicationState": "citable", "dataPublishedTime": "2021-12-21T14:14:59", "doiPublishedTime": "2021-12-22T15:42:03", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33321/?format=api", "dataPath": "/neodc/bicep/data/phytoplankton_carbon/v5.0/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 164841495511, "numberOfFiles": 277, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9140/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2875/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90468/?format=api" ], "dataLineage": "Data were produced by the Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project and the product generation was supported by the National Centre for Earth Observation (NCEO). \r\n\r\nFurther details on the used methods can be found in Sathyendranath et al. (2020).\r\n\r\nSathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Marañón, E.; Kulk, G.; Bouman, H.A. Reconciling models of primary production and photoacclimation. Applies Optics, 2020, 59, C100. doi.org/10.1364/AO.386252", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10975/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/31968/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148543/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33276/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33277, "uuid": "d6a2c152a6d144099cd7710298554942", "title": "MRF A257 flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A257 for research purposes.", "keywords": "Met Office, atmosphere, chemistry, airborne, C-130", "publicationState": "published", "dataPublishedTime": "2021-10-29T12:17:21", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33278/?format=api", "dataPath": "/badc/ukmo-mrf/data/a257", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 163070431, "numberOfFiles": 7, "fileFormat": "Data are binary formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9141/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2876/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A257. Data acquired from the Met Office by BADC for wider academic use.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19356/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/431/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148597/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/33279/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2532/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" }, { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2533/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": "policy" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33291, "uuid": "43b0c376ad184543a1bbceeceec0e85d", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.41 (v20211028)", "abstract": "Data for Figure 3.41 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.41 is a summary figure showing simulated and observed changes in key large-scale indicators of climate change across the climate system, for continental, ocean basin and larger scales. \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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The data of each panel is provided in a single file.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This datasets contains global and regional anomaly time-series for:\r\n \r\n - near-surface air temperature (1850-2020)\r\n - precipitation (1950-2014)\r\n - sea ice extent (1979-2014)\r\n - ocean heat content (1850-2014)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nnear-surface air temperature (tas)\r\n-fig_3_41_tas_global.nc, fig_3_41_tas_land.nc, fig_3_41_tas_north_america.nc, fig_3_41_tas_central_south_america.nc, fig_3_41_tas_europe_north_africa.nc, fig_3_41_tas_africa.nc, fig_3_41_tas_asia.nc, fig_3_41_tas_australasia.nc, fig_3_41_tas_antarctic.nc:\r\nbrown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: exp = 4, stat = 0 (mean)\r\n\r\nocean heat content (ohc)\r\n-fig_3_41_ohc_global.nc:\r\nbrown line: ncl5 = 0, ncl6 = 0 (mean); shaded region: ncl6 = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: ncl5 = 1, ncl6 = 0 (mean); shaded region: ncl6 = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: ncl5 = 2, ncl6 = 0 (mean)\r\n\r\nprecipitation (pr)\r\n-fig_3_41_pr_60N_90N.nc:\r\nbrown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: exp = 2, stat = 0 (mean)\r\n\r\nsea ice extent (siconc)\r\n-fig_3_41_siconc_nh.nc, fig_3_41_siconc_sh.nc:\r\nbrown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: exp = 2, stat = 0 (mean)\r\n\r\nThe ensemble spread (shaded regions) of CMIP6 data shown in figure 3.41 are the mean, 5th and 95th percentiles. \r\nThe in-file metadata labels the same ensemble spread with mean, min and max.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.41, attribution, near-surface air temperature change, precipitation change, change of sea ice extent, change in ocean heat content", "publicationState": "citable", "dataPublishedTime": "2022-03-09T11:29:29", "doiPublishedTime": "2023-02-08T19:32:36.594368", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/36807/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig41/v20211028", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 201475223, "numberOfFiles": 16, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9142/?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/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60415/?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/12387/?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/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148659/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33293/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33296, "uuid": "8bbebd486eed4b7392dd306462e3f724", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.22 (v20211109)", "abstract": "Data for Figure 2.22 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 2.22 shows the April snow cover extent (SCE) for the Northern Hemisphere over the 1922-2018 period.\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\nGulev, 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\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains Northern Hemisphere April snow cover extent (SCE) time series from 1922-2018 for:\r\n \r\n - Observed SCE (1922-1991) from Brown (2000)\r\n - Blended Multi-observation SCE dataset (1967-2018) from Mudryk et al. (2020)\r\n - Upper and lower boundary for uncertainty range for each time series\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.22\r\n Data file: Apr_snow_cover_extent_SCE.csv; (yearly data) relates to data for blue line (Brown 2000) and red line (Multi-obs Mudryk et al. 2020) and the upper and lower boundaries for uncertainty range (shaded area) for each time series\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 2)\r\n- Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1", "keywords": "IPCC-DDC, IPCC, Intergovernmental Panel on Climate Change, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.22, Snow cover extent, Northern Hemisphere", "publicationState": "citable", "dataPublishedTime": "2023-05-16T15:49:46", "doiPublishedTime": "2023-07-03T20:05:02", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39219/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig22/v20211109", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9927, "numberOfFiles": 4, "fileFormat": "CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9143/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3819/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88547/?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/12619/?format=api" ], "projects": [ 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"https://api.catalogue.ceda.ac.uk/api/v2/computations/33216/?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": 33298, "uuid": "9c350d4ff7ee438f9f1fc7252cbb2282", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing merged multi-mission monthly gridded significant wave height from altimetry, L4 product, version 3", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 4 (L4) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3 Remote Sensing Significant Wave Height product, gridded over a global regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all available altimeters on a monthly basis (using the L2P products also available). These L4 products are meant for statistics and visualization.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v3 come from multiple satellite missions spanning from 2002 to 2021 ( Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3A), therefore spanning over a shorter time range than version 1.1. Unlike version 1.1, this version 3 involved a complete and consistent retracking of all the included altimeters. 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"https://api.catalogue.ceda.ac.uk/api/v2/observations/2604/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sea_state_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33302, "uuid": "17c2ce31784048de93996275ee976fff", "title": "ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Time series of global mean sea level budget and ocean mass budget elements (1993-2016, at monthly resolution), version 2.2", "abstract": "This dataset is a compilation of time series, together with uncertainties, of the following elements of the global mean sea level budget and ocean mass budget:\r\n(a) global mean sea level\r\n(b) the steric contribution to global mean sea level, that is, the effect of ocean water density change, which is dominated, on a global average, by thermal expansion\r\n(c) the mass contribution to global mean sea level\r\n(d) the global glaciers contribution (excluding Greenland and Antarctica)\r\n(e) the Greenland Ice Sheet and Greenland peripheral glaciers contribution\r\n(f) the Antarctic Ice Sheet contribution\r\n(g) the contribution from changes in land water storage (including snow cover).\r\n\r\nThe compilation is a result from the Sea-level Budget Closure (SLBC_cci) project conducted in the framework of ESA’s Climate Change Initiative (CCI). It provides assessments of the global mean sea level and ocean mass budgets. Assessment of the global mean sea level budget means to assess how well (a) agrees, within uncertainties, to the sum of (b) and (c) or to the sum of (b), (d), (e), (f) and (g). Assessment of the ocean mass budget means to assess how well (c) agrees to the sum (d), (e), (f) and (g).\r\n\r\nAll time series are expressed in terms of anomalies (in millimetres of equivalent global mean sea level) with respect to the mean value over the 10-year reference period 2006-2015. \r\nThe temporal resolution is monthly. The temporal range is from January 1993 to December 2016. Some time series do not cover this full temporal range. All time series are complete over the temporal range from January 2003 to August 2016.\r\n\r\nFor some elements, more than one time series are given, as a result of different assessments from different data sources and methods.\r\n\r\nData and methods underlying the time series are as follows:\r\n(a) satellite altimetry analysis by the Sea Level CCI project.\r\n(b) a new analysis of Argo drifter data with incorporation of sea surface temperature data; an alternative time series consists in an ensemble mean over previous global mean steric sea level anomaly time series.\r\n(c) analysis of monthly global gravity field solutions from the Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry mission.\r\n(d) results from a global glacier model.\r\n(e) analysis of satellite radar altimetry over the Greenland Ice Sheet, amended by results from the global glacier model for the Greenland peripheral glaciers; an alternative time series consists of results from GRACE satellite gravimetry.\r\n(f) analysis of satellite radar altimetry over the Antarctic Ice Sheet; an alternative time series consists of results from GRACE satellite gravimetry.\r\n(g) results from the WaterGAP global hydrological model.\r\n\r\nVersion 2.2 is an update of the previous Version 2.1. The update concerns the estimates of ocean mass change from GRACE.", "keywords": "sea level budget closure, ESA, CCI", "publicationState": "citable", "dataPublishedTime": "2021-11-17T18:13:27", "doiPublishedTime": "2021-11-18T15:07:25", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33303/?format=api", "dataPath": "/neodc/esacci/sea_level_budget_closure/data/timeseries_slb_elements/v2.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 114114, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8835/?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/41999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/42000/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/observations/2585/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_slbc_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33304, "uuid": "8dcf91b3ebb44458b67124896b131ac5", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.36 (v20211112)", "abstract": "Data for Figure 2.36 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 2.36 shows changes in ENSO variability over time. The upper panel shows multi-centennial changes while the lower panel shows changes during the instrumental period.\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\nGulev, 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\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 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 \r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are two subpanels. Data are provided for lower panel. Links to the data used for the upper panel are provided as part of the Supplementary Material for Chapter 2\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains 30-year standard deviations in instrumental Nino 3.4, the proxy mean, and the Southern Oscillation Index (SOI), beginning from the first SOI data (1876-1905).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel b:\r\n \r\n - Data file: Figure_2_36-instrumental_period_data.csv, second column blue line\r\n - Data file: Figure_2_36-instrumental_period_data.csv, third column cyan line\r\n - Data file: Figure_2_36-instrumental_period_data.csv, fourth column orange line", "keywords": "IPCC-DDC, IPCC, Intergovernmental Panel on Climate Change, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.36, ENSO, ENSO variance", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9149/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "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" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168267/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33306/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 33307, "uuid": "78ad6999f2d743d2a7db16757c27b549", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.27 (v20211112)", "abstract": "Input data for Figure 2.27 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 2.27 presents the ocean salinity trends during historical period (1950-2019) for the near surface (global map, panel a) and zonal mean sub-surface (panel b), with regions of non-significant changes masked by 'x' marks. \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\nGulev, 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\n \r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels (DurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc) and processed via the MATLAB script (Figure_2_27.m) linked in the Related Documens section.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the global ocean salinity estimates from Durack & Wijffels (2010) based on observations from 01-01-1950 to 12-31-2019:\r\n \r\n - Mean salinity (for the Jan/1950 to Dec/2019 period, units in PSS).\r\n - Salinity change (for the same period, PSS/70-years).\r\n - Salinity change error (same period, PSS/70-years).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The processing of the salinity estimates from Durack & Wejffels (2010), is done in the MATLAB script (Figure_2_27.m).\r\n\r\n Panel a: \r\n - Ocean surface salinity change (1950-2019) and time mean (for isohalines).\r\n\r\n Panel b:\r\n - Zonal mean ocean subsurface salinity (0-2000m) change (1950-2019) and time mean (for isohalines).\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n The salinity change from the dataset has unit PSS/70-years. Units for salinity change and salinity change error have been converted to PSS/decade.\r\n\r\n Salinity change error from the dataset must be multiplied by 1.09 (to account for the resolved error when a bootstrap resampling was undertaken) x 1.64485 (i.e., z-value for 90% confidence interval) in order to get the uncertainty for the stippling.\r\n\r\n The stippling in both panels is done for regions (either surface salinity, panel a, or zonal mean salinity, panel b) where the salinity uncertainties are larger than the salinity trend.\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 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 - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.27 Input, ocean salinity", "publicationState": "citable", "dataPublishedTime": "2023-05-15T15:03:24", "doiPublishedTime": "2023-07-04T15:15:02.764110", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37672/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/inputdata_ch2_fig27/v20211112", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 40250893, "numberOfFiles": 4, "fileFormat": "txt, netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9150/?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/9042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49490/?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/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63771/?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/12629/?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" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179516/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33309/?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": [] } ] }