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=7700
{ "count": 10255, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7800", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7600", "results": [ { "ob_id": 34606, "uuid": "fc3310aaa2fe4a26a29a63642e1164f2", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.05 degree resolution, version 3.2", "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1 (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.2. This is an updated dataset, which fixes an issue with the filtering of the v3.1 data.", "keywords": "water vapour, CCI, TCWV", "publicationState": "published", "dataPublishedTime": "2022-02-21T16:42:58", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34869/?format=api", "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v3.2/0.05deg/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 403492397164, "numberOfFiles": 5664, "fileFormat": "Data are in NetCDF format" }, "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": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46672/?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/32934/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34602/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164239/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33286/?format=api", "procedureComputation": null, "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": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 34607, "uuid": "41d0dfd6d2064b158f244c0123c83972", "title": "FIDUCEO: Fundamental Climate Data Record of brightness temperatures for High-resolution Infrared Radiation Sounder (HIRS) 1978 - 2016, V2.0", "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Fundamental Climate Data Record of brightness temperatures for the High-resolution Infrared Radiation Sounder (HIRS) contains brightness temperatures for HIRS for all editions of HIRS/2, HIRS/2I, HIRS/3, and HIRS/4 satellite instruments. It contains HIRS l1b data as available from the NOAA Comprehensive Large Array-Data Stewardship System (CLASS). Geolocation and calibration information is available in the files. For more information and relevant product guides please see the documentation section. This data set was used as input to the Fundamental Climate Data Record of recalibrated brightness temperatures for the High-resolution Infrared Radiation Sounder (HIRS) with uncertainties, 1978 - 2016, v1.0 dataset.", "keywords": "FIDUCEO, HIRS, Brightness Temperature", "publicationState": "published", "dataPublishedTime": "2022-08-10T17:50:15", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37607/?format=api", "dataPath": "/neodc/fiduceo/data/fcdr/hirs/v2.00/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1786452362336, "numberOfFiles": 728665, "fileFormat": "HIRS- NOAA Native Binary format: Data formats for HIRS/2 (NOAA-14 and before) are documented in the NOAA POD User's Guide. available online in PDF linked to in the documentation section" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7557/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data was originally downloaded by the University of Hamburg from the NOAA class archive. It was transferred to the JASMIN FIDUCEO group work space and restructured for project purposes. It was then supplied to CEDA for archival by Jon Mittaz of the University of Reading.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/8448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/27632/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164246/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164243/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164242/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180645/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/37848/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2591/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/NOAA%20Open%20Access%20Data.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 34608, "uuid": "9f83afcc47ca49feb1d5702de9fa8869", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.21 (v20220622)", "abstract": "Data for Figure 10.21 from Chapter 10 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 10.21 shows projected Mediterranean summer warming.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual summer (JJA) surface air temperature means for:\r\n \r\n - Modelled anomalies 2015-2100 with respect to 1995-2014 average for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Modelled change until 2081‒2100 with respect to 1995-2014 averages over the Mediterranean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Trends 2015-2050 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Modelled trends over 2015-2050\r\n - Modelled Mediterranean summer vs global warming\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nFig_10_21_panel-a_timeseries.csv, \r\nFig_10_21_panel-a_boxplot.csv; \r\nModelled JJA surface air temperature anomalies 2015-2100 (baseline 1995-2014) for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N, CMIP5 (blue), CMIP6 (dark red), HighResMIP (orange), CORDEX EUR-44 (light blue), CORDEX EUR-11 (green)) and change until 2081‒2100 in respect to 1995-2014 averages (SSP1-2.6 dark blue, SSP2-4.5 yellow, SSP3-7.0 red, SSP5-8.5 dark red)\r\n \r\n Panel (b):\r\n - Data file: Fig_10_21_panel-b_trends.csv; \r\nModelled JJA OLS linear trends in surface air temperature 2015-2050 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) CMIP5 (blue circles), CMIP6 (dark red circles), HighResMIP (orange circles), CORDEX EUR-44 (light blue circles), CORDEX EUR-11 (green circles)) and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM (grey shading)\r\n \r\n Panel (c):\r\n - Data files: \r\nFig_10_21_panel-c_mapplot_tas_cmip5_mean_trend_future_tas_cmip5_maps_trend_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_cmip6_mean_trend_future_tas_cmip6_maps_trend_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_cordex_11_mean_trend_future_tas_cordex_11_maps_trend_native_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_cordex_44_mean_trend_future_tas_cordex_44_maps_trend_native_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_hrmip_mean_trend_future_tas_hrmip_maps_trend_05_MultiModelMean_trend.nc; \r\nModelled OLS linear surface air temperature trends over 2015-2050 of CMIP5, CMIP6, HighResMIP, CORDEX EUR-44, and CORDEX EUR-11 ensemble means\r\n \r\n Panel (d):\r\n - Data file: Fig_10_21_panel-d_GWLRWL.csv; \r\nModelled Mediterranean summer (JJA) vs global warming under CMIP5 (RCP2.6 dark blue dashed line, RCP4.5 light blue dashed line, RCP6.0 orange dashed line and RCP8.5 red dashed line) and CMIP6 (SSP1-2.6 dark blue line, SSP2-4.5 yellow line, SSP3-7.0 red line, SSP5-8.5 dark red line) scenarios.\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nHighResMIP - High Resolution Model Intercomparison Project, \r\nSSP- Shared Socioeconomic Pathways, \r\nSMILEs -single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, ESM - Earth System Model, \r\nRCP - Representative Concentration Pathway, \r\nOLS - ordinary least squares regression. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.21, surface air temperature, surface air temperature trend, Mediterranean, Mediterranean summer warming, future period", "publicationState": "citable", "dataPublishedTime": "2022-06-29T09:49:04", "doiPublishedTime": "2023-05-17T13:50:52.644917", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37646/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_fig21/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9192977, "numberOfFiles": 12, "fileFormat": "txt, netCDF, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9591/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2926/?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/11573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?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/53130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?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/12521/?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/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164264/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34610/?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": 34611, "uuid": "19ec340e6f2d47479ddb483961b0c1bb", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.20 (v20220113)", "abstract": "Data for Figure 10.20 from Chapter 10 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 10.20 shows aspects of Mediterranean summer warming.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 7 subpanels. Data for subpanels d, e, f and g is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual summer (JJA) means for:\r\n \r\n - Observed trends over 1960-2014\r\n - Anomalies 1960-2014 with respect to 1995-2014 average for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Trends 1960-2014 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Modelled trend differences to the observed over 1960-2014\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (d):\r\n - Data file: Fig_10_20_panel-d_mapplot_tas_obs_trend_single_single_trend.nc; \r\nJJA Berkeley Earth surface air temperature OLS linear trends over 1960-2014 over the Mediterranean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n \r\n Panel (e):\r\n - Data file: Fig_10_20_panel-e_timeseries.csv; \r\nObserved and modelled JJA surface air temperature anomalies 1960-2014 (baseline 1995-2014) for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N): CMIP5 (blue), CMIP6 (red), HighResMIP (orange), CORDEX EUR-44 (light blue), CORDEX EUR-11 (green), Berkeley Earth (dark blue), CRU TS (brown), HadCRUT5 (cyan)\r\n \r\n Panel (f):\r\n - Data file: Fig_10_20_panel-f_trends.csv; \r\nJJA OLS linear trends in surface air temperature 1960-2014 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) of observations (Berkeley Earth, CRU TS, HadCRUT5: black crosses) and models (CMIP5 (blue circles), CMIP6 (red circles), HighResMIP (orange circles), CORDEX EUR-44 (light blue circles), CORDEX EUR-11 (green circles)) and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading)\r\n \r\n Panel (g):\r\n - Data files: \r\nFig_10_20_panel-g_mapplot_tas_cmip5_mean_trend_bias_tas_cmip5_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_cmip6_mean_trend_bias_tas_cmip6_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_cordex_11_mean_trend_bias_tas_cordex_11_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_cordex_44_mean_trend_bias_tas_cordex_44_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_hrmip_mean_trend_bias_tas_hrmip_maps_trend_MultiModelMean_trend-bias.nc; \r\nModelled OLS linear surface air temperature trend differences to the observed trend (Berkeley Earth) over 1960-2014 of CMIP5, CMIP6, HighResMIP, CORDEX EUR-44, and CORDEX EUR-11 ensemble means\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nCRU TS- Climatic Research Unit Time Series, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nSMILEs - single model initial-condition large ensembles, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.20, surface air temperature, surface air temperature trend, Mediterranean, Mediterranean summer warming, historical period", "publicationState": "citable", "dataPublishedTime": "2022-06-29T09:46:40", "doiPublishedTime": "2023-05-17T13:43:27.668805", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37645/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_fig20/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 270651, "numberOfFiles": 11, "fileFormat": "txt, netCDF, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9592/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2927/?format=api", 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Contribution to the IPCC Sixth Assessment Report - data for Figure 10.19 (v20220622)", "abstract": "Data for Figure 10.19 from Chapter 10 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 10.19 shows changes in the Indian summer monsoon in the historical and future periods.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains:\r\n APHRODITE station density for June-September (JJAS) 1956\r\n Precipitation June-September (JJAS):\r\n \r\n - Model mean bias 1985-2010\r\n - Observed and modelled trends: CRU TS 1950-2000, CMIP6 hist-GHG & hist-aer 1950-2000, and CMIP6 SSP5-8.5 2015-2100 trends\r\n - Observed and model relative anomalies over 1950-2100 with respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N)\r\n - Modelled change until 2081‒2100 with respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N)\r\n - Trends in relative precipitation anomalies (baseline 1995-2014) over past (1950-2000) and future (2015-2100) period over central India (lon: 76°E-87°E, lat: 20°N-28°N).\r\n - Trend difference between the 3 MPI-ESM runs with the lowest and the 3 MPI-ESM runs with the highest trend\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nAPHRODITE station density for JJAS 1956:\r\n - Data file: \r\nFig_10_19_panel-a_mapplot_APHRODITE_stationdensity_single_mean.nc\r\n \r\n Panel (b):\r\nCMIP6 mean precipitation bias June-September mean 1985-2010 mean with respect to CRU TS:\r\n - Data file: \r\nFig_10_19_panel-b_mapplot_pr_cmip6_bias_pr_cmip6_maps_past_bias_MultiModelMean_bias.nc\r\n \r\n Panel (c):\r\nOLS linear precipitation for June-September mean trend of CRU TS 1950-2000 (top left), CMIP6 hist-GHG (bottom left) & hist-aer (bottom right) 1950-2000, and CMIP6 SSP5-8.5 2015-2100 (top right):\r\n - Data files: \r\nFig_10_19_panel-c_mapplot_pr_cmip6_mean_trend_future_pr_cmip6_maps_trend_future_MultiModelMean_trend.nc,\r\nFig_10_19_panel-c_mapplot_pr_histaer_mean_trend_past_pr_aer_maps_trend_past_MultiModelMean_trend.nc, \r\nFig_10_19_panel-c_mapplot_pr_histghg_mean_trend_past_pr_ghg_maps_trend_past_MultiModelMean_trend.nc, \r\nFig_10_19_panel-c_mapplot_pr_obs_mean_trend_past_CRU_single_trend.nc;\r\n \r\n Panel (d):\r\nObserved and model relative precipitation June-September mean anomalies over 1950-2100 in respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N) (CRU TS (brown), GPCC (dark blue), REGEN (green), APHRO-MA (light brown), IITM all-India rainfall (light blue), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), CMIP6 hist-aer (grey), hist-GHG (light blue) CMIP6 historical/SSP5-8.5 (dark red) and CMIP5 historical/RCP8.5 (dark blue) and Modelled change until 2081‒2100 in respect to 1995-2014 averages over central India (CMIP6 SSP5-8.5 (dark red) and CMIP5 historical/RCP8.5 (dark blue)):\r\n - Data files: \r\nFig_10_19_panel-d_timeseries.csv, \r\nFig_10_19_panel-d_boxplot.csv\r\n \r\n Panel (e):\r\nOLS linear trends in relative precipitation June-September mean anomalies (baseline 1995-2014) over past (1950-2000) and future (2015-2100) period over central India (lon: 76°E-87°E, lat: 20°N-28°N) of observations (GPCC, CRU TS, REGEN and APRHO-MA: black crosses) and models (individual members of CMIP5 historical-RCP8.5 (blue), CMIP6 historical-SSP5-8.5 (dark red), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles)), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_19_panel-e_trends.csv\r\n \r\n Panel (f):\r\nJune-September mean 2016-2045 OLS linear trend difference in precipitation between the 3 MPI-ESM runs with the lowest and the 3 MPI-ESM runs with the highest trend:\r\n - Data file: \r\nFig_10_19_panel-f_mapplot_pr_mpige_mean_trend_future_spread_single_trend-difference-min3-max3.nc\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nAPHRODITE - ASIAN PRECIPITATION - HIGHLY-RESOLVED OBSERVATIONAL DATA INTEGRATION TOWARDS EVALUATION OF WATER RESOURCES, \r\nCRU TS- Climatic Research Unit Time Series, \r\nGHG - Greenhouse gas, \r\nIITM - Indian Institute of Technology Madras, \r\nRCP - Representative Concentration Pathway, \r\nDAIMP - Detection and Attribution Model Intercomparison Project, \r\nSSP - Shared Socioeconomic Pathways, \r\nGPCC - GLOBAL PRECIPITATION CLIMATOLOGY CENTRE, \r\nREGEN - Rainfall Estimates on a Gridded Network, S\r\nMILEs -single model initial-condition large ensembles, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nOLS - ordinary least squares regression. \r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, 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"5d64c2103c534f83b8ec11a2a4cab10d", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.13 (v20220622)", "abstract": "Data for Figure 10.13 from Chapter 10 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 10.13 shows attribution of the southwestern North America precipitation decline during the 1983-2014 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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual October-September (water year) precipitation means for:\r\n \r\n - Observed and modelled trends over 1983-2014\r\n - Observed and modelled relative anomalies with respect to 1971-2000 averages over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N)\r\n - Trends in relative precipitation anomalies between 1983-2014 (baseline 1983-2014) over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nObserved and Model (MPI-ESM and d4PDF runs with min and max trends as well as mean trends) OLS linear trends in precipitation between 1983 and 2014 over North America:\r\n - Data files: \r\nFig_10_13_panel-a_mapplot_pr_trend_CRU_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_REGEN_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_GPCC_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_GPCP_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_d4pdf_d4PDF_max_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_d4pdf_d4PDF_min_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_d4pdf_d4PDF_MultiModelMean_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_mpige_MPI-GE_max_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_mpige_MPI-GE_min_single-MultiModelMean_trend-min-mean-max.nc, F\r\nig_10_13_panel-a_mapplot_pr_trend_mpige_MPI-GE_MultiModelMean_single-MultiModelMean_trend-min-mean-max.nc\r\n \r\n Panel (b):\r\nObserved (CRU TS, black) and Model (d4PDF runs with min (brown) and max (green) trends) timeseries relative precipitation anomalies in respect to 1971-2000 averages over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N):\r\n - Data file: \r\nFig_10_13_panel-b_timeseries.csv\r\n \r\n Panel (c):\r\nOLS linear trends in relative precipitation anomalies between 1983-2014 (baseline 1983-2014) over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N): observed data (CRU TS, REGEN, GPCC and GPCP, black crosses), individual members of CMIP6 historical (red circles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_13_panel-c_trends.csv\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nHighResMIP - High Resolution Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nCRU TS- Climatic Research Unit Time Series, \r\nGPCC - GLOBAL PRECIPITATION CLIMATOLOGY CENTRE, \r\nGPCP - Global Precipitation Climatology Project, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nMPI GE - Max-Planck-Institut für Meteorologie Grand Ensemble, \r\nESM - Earth System Model, \r\nSMILEs -single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nREGEN -Rainfall Estimates on a Gridded Network, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.13, precipitation change, precipitation decline, southwestern North America, historical period", "publicationState": "citable", "dataPublishedTime": "2022-06-29T09:16:50", "doiPublishedTime": "2023-05-17T12:52:46.729927", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37643/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_fig13/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": 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"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": 34620, "uuid": "b981b3f983df4aa48a16ddbe3d8bf38d", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.12 (v20220622)", "abstract": "Data for Figure 10.12 from Chapter 10 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 10.12 shows Southeastern South America positive mean precipitation trend and its drivers during 1951-2014.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels. Data for 3 subpanels (b-d) is provided. Subpanel (a) is a schematic.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual December-Jannuary (DJF) precipitation means for:\r\n \r\n - Observed and model relative anomalies over 1951-2014 with respect to 1995-2014 average over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W)\r\n - Observed precipitation trends 1951-2014 South America\r\n - Trends in precipitation over 1951-2014 over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (b):\r\nObserved (CRU TS, black line, and CRU TS no-running mean (bars)) and Model (MPI-ESM runs with min (brown) and max (green) trends) precipitation rate relative anomalies over 1951-2014 with respect to 1995-2014 average over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W):\r\n - Data file: \r\nFig_10_12_panel-b_timeseries.csv\r\n \r\n Panel (c):\r\nObserved precipitation OLS linear trends 1951-2014 over South America:\r\n - Data files: \r\nFig_10_12_panel-c_mapplot_pr_trend_CRU_single_trend.nc, \r\nFig_10_12_panel-c_mapplot_pr_trend_GPCC_single_trend.nc \r\n \r\n Panel (d):\r\nOLS linear trends in precipitation over 1951-2014 over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W): observed data (GPCC, CRU TS: black crosses), individual members of CMIP6 historical (red circles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_12_panel-d_trends.csv\r\n\r\n\r\nAcronyms: \r\nCRU TS- Climatic Research Unit Time Series, \r\nCMIP - Coupled Model Intercomparison Project, \r\nSMILEs -single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, OLS - ordinary least squares regression. \r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.12, precipitation trend, south-eastern South America, historical period", "publicationState": "citable", "dataPublishedTime": "2022-06-29T09:13:48", "doiPublishedTime": "2023-05-17T12:44:19", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37642/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_fig12/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 124224, "numberOfFiles": 7, "fileFormat": "txt, netCDF, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9595/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2930/?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/49990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63715/?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/12516/?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/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179511/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34622/?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": 34623, "uuid": "970847e5690c4f9e8c4ad455641bd558", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.11 (v20220622)", "abstract": "Data for Figure 10.11 from Chapter 10 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. 10.11 shows attribution of historic precipitation change in the Sahelian West African monsoon during June to September.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 5 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual June-September (JJAS) precipitation means for:\r\n \r\n - Observed anomalies over 1920-2018 respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N)\r\n - Model anomalies over 1920-2018 respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N)\r\n - Observed precipitation difference 1980-1990 mean - 1950-1960 mean\r\n - Model differences between 1.5x and 0.2x aerosol scalings over 1955-1984\r\n - Trends in relative precipitation anomalies (baseline 1955-1984) over decline (1955-1984) and recovery (1985-2014) period over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nObserved (CRU TS) timeseries anomalies over 1920-2018 in respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N):\r\n - Data file: \r\nFig_10_11_panel-a_timeseries_obs.csv\r\n \r\n Panel (b):\r\nObserved (CRU TS) precipitation difference 1980-1990 mean - 1950-1960 mean:\r\n - Data file: \r\nFig_10_11_panel-b_mapplot_pr_change_CRU_single_mean.nc\r\n \r\n Panel (c):\r\nModel differences between 1.5x and 0.2x aerosol scalings over 1955-1984:\r\n - Data file: \r\nFig_10_11_panel-c_mapplot_pr_diff_SMURPHS_single_mean.nc\r\n \r\n Panel (d):\r\nModel timeseries anomalies over 1920-2018 respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N) for CMIP6 hist all-forcings (red), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), CMIP6 hist-aer (grey) and CMIP6 hist-GHG (pale blue):\r\n - Data file: \r\nFig_10_11_panel-d_timeseries_cmip6.csv\r\n \r\n Panel (e):\r\nObserved and modelled OLS linear trends in relative precipitation anomalies (baseline 1955-1984) over decline (1955-1984) and recovery (1985-2014) period over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N): observed data (GPCC, CRU TS: black crosses), 34 CMIP5 models (dark blue circles), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_11_panel-e_trends.csv;\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nCRU TS- Climatic Research Unit Time Series, \r\nSMURPHS - Securing Multidisciplinary UndeRstanding and Prediction of Hiatus and Surge events, \r\nDAMIP - Detection and Attribution Model Intercomparison Project, \r\nGHG - Greenhouse Gases, \r\nGPCC - GLOBAL PRECIPITATION CLIMATOLOGY CENTRE, \r\nSMILEs -single model initial-condition large ensembles, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nOLS - ordinary least squares regression. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.11, precipitation rate, S.E. South America, historical and future period, MPI-ESM, internal variability", "publicationState": "citable", "dataPublishedTime": "2022-06-29T10:11:36", "doiPublishedTime": "2023-05-17T11:38:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37641/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_fig11/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 298024, "numberOfFiles": 8, "fileFormat": "txt, netCDF, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9596/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2931/?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/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50516/?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/53130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63714/?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/12515/?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/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179510/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34625/?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": 34626, "uuid": "d4eccbbd51db4ab7a8ad05a6f2f6a98a", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.10 (v20220622)", "abstract": "Data for Figure 10.10 from Chapter 10 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 10.10 shows observed and projected changes in austral summer (December to February) mean precipitation in Global Precipitation Climatology Centre (GPCC), Climatic Research Unit Time-Series (CRU TS) and 100 members of the Max-Planck-Institut für Meteorologie Earth-System Model (MPI-ESM).\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for both panels. Panel (a) consists of two maps, panel (b) shows multiple timeseries and boxplots.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains data of relative precipitation anomalies over 1950-2100 with respect to 1995-2014 average for global, S.E.South-America, Sao Paulo and Buenos Aires for:\r\n \r\n - Observational data (GPCC and CRU TS)\r\n - Model data (100 runs of MPI-ESM)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nModelled precipitation rate OLS linear trends between 2015-2070 with respect to 1995-2014 average over S.E. South America region, from left to right (MPI-ESM member with min (driest) and max (wettest) trends):\r\nFig_10_10_panel-a_mapplot_trend_SES_DJF_MPI-GE_min_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_10_panel-a_mapplot_trend_SES_DJF_MPI-GE_max_single-MultiModelMean_trend-min-median-max.nc\r\n \r\n Panel (b):\r\n - Data files: \r\nPrecipitation rate anomalies 1950-2100 with respect to 1995-2014 average for the global mean, S.E.South-America mean, Sao Paulo mean and Buenos Aires mean of GPCC (dark blue), CRU (dark brown), members of the MPI-ESM (grey), the MPI-ESM member with the driest (brown) and wettest (green) trend:\r\nFig_10_10_panel-b_timeseries_global.csv, \r\nFig_10_10_panel-b_timeseries_SES.csv, \r\nFig_10_10_panel-b_timeseries_SaoPaulo.csv, \r\nFig_10_10_panel-b_timeseries_BuenosAires.csv\r\n\r\n - Data files: \r\nUnderlying data points of the boxplot showing MPI-ESM modelled precipitation rate OLS linear trends over all members between 2015-2070 with respect to 1995-2014 average for the global mean, S.E.South-America mean, Sao Paulo mean and Buenos Aires mean:\r\nFig_10_10_panel-b_boxplot_BuenosAires.csv, \r\nFig_10_10_panel-b_boxplot_global.csv, \r\nFig_10_10_panel-b_boxplot_SaoPaulo.csv, \r\nFig_10_10_panel-b_boxplot_SES.csv; \r\n\r\nOLS - ordinary least squares regression.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input 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Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.18 shows historical and projected rainfall and Southern Annular Mode (SAM) over the Cape Town region.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is for the Cape Town region:\r\n \r\n - Observed yearly accumulation of rainfall, 1933-2014 mean, 2015, 2016, 2017\r\n - Observed annual precipitation cycle, 1933-2014 mean, 2015-2017 mean, 2015, 2016, 2017\r\n - Rainfall anomalies 1930-2100 with respect to 1980–2010 means\r\n - SAM index (calculated from sea-level pressure) 1930-2100\r\n - Precipitation trends 1933-2017, 1979-2017 and 2018-2100\r\n - SAM index trends 1933-2017, 1979-2017 and 2018-2100\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nStation data of yearly accumulation of rainfall over the Cape Town region, 1933-2014 (grey lines), 2015 (orange line), 2016 (red line), 2017 (purple line):\r\n - Data file: \r\nFig_10_18_panel-a.csv\r\n \r\n Panel (b):\r\nStation data of annual precipitation cycle over the Cape Town region, 1933-2014 mean (black line), 2015-2017 mean (grey line), 2015 (orange bars), 2016 (red bars), 2017 (purple bars):\r\n - Data file: \r\nFig_10_18_panel-b.csv\r\n \r\n Panel (c):\r\nSAM index (top part) and rainfall (bottom part) anomalies over the Cape Town region between 1930 and 2100 of observed and reanalysis data (SAM: station based (black line), NCEP/NCAR (light blue line), ERA20C (dark red line) and 20CR (yellow line); rainfall: station based (black line), GPCC (green line) and CRU TS (olive line)) and model data (SAM and rainfall: CMIP5 (blue shading), CMIP6 (red shading), MIROC6 (orange shading); Rainfall: CORDEX (cyan shading), 6 CCAM (purple shading)):\r\n - Data files: \r\nFig_10_18_panel-c_timeseries_precipitation.csv, \r\nFig_10_18_panel-c_timeseries_SAM_index.csv\r\n \r\n Panel (d):\r\nSAM index (top part) and rainfall (bottom part) Theil-Sen trends between 1933-2017, 1979-2017 and 2018-2100 over the Cape Town region (31°S‒35°S, 18°W‒20.5°W) of observed and reanalysis data (SAM: station based (black), NCEP/NCAR (light blue), ERA20C (dark red) and 20CR (yellow); rainfall: station based (black), GPCC (green) and CRU TS (olive)) and model data (CMIP5 (blue), CMIP6 (red), MIROC6 (orange)):\r\n - Data files: \r\nFig_10_18_panel-d_trends_precipitation_1933-2017.csv, \r\nFig_10_18_panel-d_trends_precipitation_2018-2100.csv, \r\nFig_10_18_panel-d_trends_SAM_index_1979-2017.csv, \r\nFig_10_18_panel-d_trends_precipitation_1979-2017.csv, \r\nFig_10_18_panel-d_trends_SAM_index_1933-2017.csv, \r\nFig_10_18_panel-d_trends_SAM_index_2018-2100.csv\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nNCEP - National Centers for Environmental Prediction, \r\nNCAR - National Center for Atmospheric Research, \r\nCRU TS - Climatic Research Unit (CRU) Time-series (TS), \r\nCORDEX - Coordinated Regional Climate Downscaling Experiment, \r\nCCAM - Conformal Cubic Atmospheric Model, \r\nMIROC6 - Model for Interdisciplinary Research on Climate, \r\nGPCC- Global Precipitation Climatology Centre, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": 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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/12518/?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/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164342/?format=api", 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"Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.6 (v20220113)", "abstract": "Data for Figure 10.6 from Chapter 10 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 10.6 is an illustration of some model biases in simulations performed with dynamical models.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels ((a) and (b)), which are further divided into 6 maps and 1 boxplot. Data is provided for all subpanels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Boxplot data point is annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for western Mediterranean mean (lon: 10°W-10°E, lat: 33°N-45°N) between 1986 and 2005 for:\r\n \r\n - Observational datasets\r\n - Each model of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44\r\n \r\nMapplot data is mean (1986-2005) annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for the western Mediterranean (lon: 15°W-15°E, lat: 28°N-50°N) regrided on a 1°x1° regular grid for:\r\n - Absolute values for reference observational dataset (BerkeleyEarth (a), CRU TS (b))\r\n - Ensemble biases of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data file: \r\nObserved (Berkeley Earth) mean (1986-2005) annual summer mean (JJA) surface air temperature over the western Mediterranean (top left):\r\nFig_10_6_panel-a_mapplot_tas_obs_single_single_mean.nc\r\n\r\n - Data files: \r\nEnsemble mean (1986-2005) annual summer mean (JJA) surface air temperature bias over the western Mediterranean (top right):\r\nFig_10_6_panel-a_mapplot_tas_bias_cmip5_tas_cmip5_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_cmip6_tas_cmip6_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_hrmip_tas_hrmip_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_cdx44_tas_cdx44_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_cdx11_tas_cdx11_map_MultiModelMean_bias.nc\r\n\r\n - Data file: \r\nObserved (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) surface air temperature values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part):\r\nFig_10_6_panel-a_boxplot.csv \r\n\r\n\r\n Panel (b):\r\n - Data file: \r\nObserved (CRU TS) mean (1986-2005) annual summer mean (JJA) precipitation rate over the western Mediterranean (top left):\r\nFig_10_6_panel-b_mapplot_pr_obs_single_masked_cru_single_mean.nc\r\n\r\n - Data files: \r\nEnsemble mean (1986-2005) annual summer mean (JJA) precipitation rate bias over the western Mediterranean (top right):\r\nFig_10_6_panel-b_mapplot_pr_bias_cmip5_pr_cmip5_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_cmip6_pr_cmip6_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_hrmip_pr_hrmip_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_cdx44_pr_cdx44_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_cdx11_pr_cdx11_map_MultiModelMean_bias.nc\r\n\r\n - Data file: \r\nobserved (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) precipitation rate values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part):\r\nFig_10_6_panel-b_boxplot.csv\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nHighResMIP - High Resolution Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nOLS - ordinary least squares regression.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.6, surface air temperature, precipitation rate, western Mediterranean, historical period, model biases", "publicationState": "citable", "dataPublishedTime": 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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/12513/?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/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164355/?format=api", 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10.4 Figure 1 (v20220622)", "abstract": "Data for CCB 10.4 Figure 1 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCCB10.4 Figure 1 shows historical annual-mean surface air temperature linear trend (°C per decade) and its attribution over the Hindu Kush Himalaya (HKH) region.\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\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual means for:\r\n \r\n - Observed and modelled trends over 1961-2014\r\n - Anomalies 1961-2014 with respect to 1961-1980 average for the HKH region mean\r\n - Trends 1961-2014 for the HKH region mean\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_BerkeleyEarth_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_CRU_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_APHRO-MA_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_JRA-55_single_trend.nc; \r\nObserved and reanalysis surface air temperature OLS linear trends over 1961-2014 over the HKH region, from left to right Berkeley Earth, CRU TS, APHRO-MA, JRA-55\r\n \r\n Panel (b):\r\n - Data files: \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_min_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_MultiModelMedian_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_max_single-MultiModelMean_trend-min-median-max.nc; \r\nModelled surface air temperature OLS linear trends over 1961-2014 over the Hindu Kush Himalaya region, from left to right (CMIP6 models with min (coldest), median and max (warmest) trends)\r\n \r\n Panel (c):\r\n - Data file: Fig_10_CCB-4_1_panel-c_timeseries.csv; \r\nSurface air temperature anomalies 1961-2014 in respect to 1961-1980 average for the Hindu Kush Himalaya (HKH) region mean: means of CMIP6 hist all-forcings (red), and the CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), for hist-aer (grey) and hist-GHG (pale blue), Berkeley Earth (dark blue), CRU TS (brown), APHRO-MA (light green) and JRA-55 (dark green).\r\n \r\n Panel (d):\r\n - Data file: Fig_10_CCB-4_1_panel-d_trends.csv; \r\nSurface air temperature OLS linear trends 1961-2014 for the Hindu Kush Himalaya (HKH) region mean: observed and reanalysis data (Berkeley Earth, CRU TS, APHRO-MA, JRA-55: black crosses), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading)\r\n\r\n\r\nAcronyms: \r\nCRU TS- Climatic Research Unit Time Series, \r\nCMIP - Coupled Model Intercomparison Project, \r\nJRA - Japanese 55year Reanalysis, \r\nDAMIP - Detection and Attribution Model Intercomparison Project, \r\nGHG - Greenhouse Gas, \r\nSMILEs - Single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO -Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, d4PDF - database for policy decision-making for future climate changes, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\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 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\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 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure BBB 10.4.1, surface air temperature, Hindu Kush Himalaya, historical period", "publicationState": "citable", "dataPublishedTime": "2022-06-29T08:57:27", "doiPublishedTime": "2023-05-17T13:58:17.939381", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37638/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_ccb4_fig1/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 399724, "numberOfFiles": 12, "fileFormat": "txt, netCDF, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9600/?format=api", "geographicExtent": 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"https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179506/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34636/?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": 34639, "uuid": "8194b416cbee482b89e0dfbe17c5786c", "title": "CHESS-SCAPE: Future projections of meteorological variables at 1 km resolution for the United Kingdom 1980-2080 derived from UK Climate Projections 2018", "abstract": "Gridded daily meteorological variables over the United Kingdom at 1 km resolution for the years 1980-2080. This dataset is an ensemble of four different realisations of future climate for each of four different representative concentration pathway scenarios (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), provided both with and without bias correction. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), relative humidity (%), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and surface air pressure (Pa). It also contains time series of daily minimum air temperature (K), daily maximum air temperature (K) and daily temperature range (K). The data are provided in gridded netCDF files at 1 km resolution aligned to the Ordnance Survey / British National Grid. There is one file for each variable for each month of the daily data. Also provided are monthly, seasonal and annual means, for which there is one file for each variable for each time resolution. Additionally twenty year mean-monthly (Jan-Dec) climatologies at ten year intervals are provided, for which there is one file for each variable for each twenty year time slice. The projections use a 360-day calendar, where each month consists of 30 days.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2022-03-28T16:24:32", "doiPublishedTime": "2022-04-01T08:03:43.246452", "updateFrequency": "notPlanned", "status": "underDevelopment", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34638/?format=api", "dataPath": "/badc/deposited2021/chess-scape/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12500921449252, "numberOfFiles": 387841, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9601/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2936/?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/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46779/?format=api" ], "dataLineage": "This dataset was derived from four ensemble members of the United Kingdom Climate Projections 2018 (UKCP18) Regional Projections on a 12km grid over \r\nthe United Kingdom for 1980-2080 (https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604, v20190731), which is a twelve member perturbed parameter ensemble of climate model projections for representative concentration pathway (RCP) scenario RCP8.5. Selected daily UKCP18 RCM variables were downscaled to 1 km using adapted Climate, Hydrology and Ecology research Support System (CHESS) downscaling methodology, taking into account topographic information. Ancillary datasets were obtained from the surface elevation of the climate model (https://data.ceda.ac.uk/badc/ukcp18/data/land-rcm/ancil/orog) the Integrated Hydrological Digital Terrain Model (IHDTM; https://www.ceh.ac.uk/services/integrated-hydrological-digital-terrain-model) the Ordnance Survey of Northern Ireland (OSNI) Open Data 50m Digital Terrain Model (https://www.nidirect.gov.uk/articles/50m-digital-terrain-model-height-data) Standardised Annual Average Rainfall 1961-90 (SAAR 61-90; https://catalogue.ceh.ac.uk/documents/51861941-c38d-46e6-9a31-6e9a293fc3d5) the European Space Agency (ESA) GlobAlbedo project albedo (http://globalbedo.org) and UK Energy Technology Support Unit (ETSU) mean wind speeds. Where applied, bias-correction was calculated seasonally using the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (CHESS-met; https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293) observation-based dataset. Variables for RCP2.6, RCP4.5 and RCP6.0 were calculated using time-shifting and pattern-scaling of the RCP8.5 scenarios, using selected members of the 5th Coupled Model Intercomparison Project (CMIP5; https://pcmdi.llnl.gov/mips/cmip5) and UKCP18 Global Climate Model Projections for the entire globe (https://catalogue.ceda.ac.uk/uuid/f1a2fc3c120f400396a92f5de84d596a) to determine future warming trajectories.\r\n\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/12073/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33173/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164384/?format=api" ], "procedureAcquisition": null, "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": 34640, "uuid": "e7c78370837d4f85be6a1f0cbe288a92", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.16 (v20220117)", "abstract": "Data for Figure 11.16 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nProjected changes in annual maximum daily precipitation at 1.5°C, 2°C, and 4°C of global warming compared to the 1850-1900 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\nSeneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. 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. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual maximum daily precipitation change (%) (relative to 1850-1900)\r\n The data is given for global warming levels (GWLs), namely +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\n Panel a:\r\n - Figure_11_16a_cmip6_Rx1day_change_at_1_5C.nc: simulated annual maximum daily precipitation change (%) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - Figure_11_16b_cmip6_Rx1day_change_at_2_0C.nc: simulated annual maximum daily precipitation change (%) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - Figure_11_16c_cmip6_Rx1day_change_at_4_0C.nc: simulated annual maximum daily precipitation change (%) at 4.0°C global warming relative to 1850-1900\r\n\r\n\r\nAcronyms: CMIP - Coupled Model Intercomparison Project, SSP - Shared Socioeconomic Pathways\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 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\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 11, Figure 11.16, global warming level, annual maximum daily precipitation, Rx1day, projection, cmip6", "publicationState": "citable", "dataPublishedTime": "2022-06-27T11:13:46", "doiPublishedTime": "2023-06-26T16:15:10.492132", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37631/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_11/ch11_fig16/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 596816, "numberOfFiles": 6, "fileFormat": "txt, netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9602/?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/46711/?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/63626/?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/12533/?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/32727/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179505/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34642/?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": 34643, "uuid": "3f415b44b4334725bfcc572c9246aa60", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.11 (v20220117)", "abstract": "Data for Figure 11.11 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nProjected changes in annual maximum temperature (TXx) and annual minimum temperature (TNn) at 1.5°C, 2°C, and 4°C of global warming compared to the 1850-1900 baseline.\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\nSeneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. 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. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual maximum temperature (°C) change (relative to 1850-1900)\r\n - Annual minimum temperature (°C) change (relative to 1850-1900)\r\n The data is given for global warming levels (GWLs), namely +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Figure_11.11a_cmip6_TXx_change_at_1.5C.nc: simulated annual maximum temperature change (°C) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - Figure_11.11b_cmip6_TXx_change_at_2.0C.nc: simulated annual maximum temperature change (°C) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - Figure_11.11c_cmip6_TXx_change_at_4.0C.nc: simulated annual maximum temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n Panel d:\r\n - Figure_11.11d_cmip6_TNn_change_at_1.5C.nc: simulated annual minimum temperature change (°C) at 1.5°C global warming relative to 1850-1900\r\n Panel e:\r\n - Figure_11.11e_cmip6_TNn_change_at_2.0C.nc: simulated annual minimum temperature change (°C) at 2.0°C global warming relative to 1850-1900\r\n Panel f:\r\n - Figure_11.11f_cmip6_TNn_change_at_4.0C.nc: simulated annual minimum temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n\r\nAcronyms: CMIP - 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 figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\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 11, Figure 11.11, global warming level, annual maximum temperature, annual minimum temperature, TXx, TNn, projection, cmip6", "publicationState": "citable", "dataPublishedTime": "2022-06-27T11:01:57", "doiPublishedTime": "2023-06-26T16:09:52.817932", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37630/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_11/ch11_fig11/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1161294, "numberOfFiles": 9, "fileFormat": "txt, netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9603/?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/46711/?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/63161/?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/12532/?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/32727/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179504/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34645/?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": 34649, "uuid": "fbf06d6f3c9b4469926d79be38a5cf63", "title": "Anomalies of Biogeochemical Parameters in the Tropical Region (TROPBGC)", "abstract": "This dataset contains biogeochemical parameter anomalies, calculated from Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua) (Chlorophyll Concentration), GLOBAL_MULTIYEAR_BGC_001_029 and MULTIOBS_GLO_BIO_CARBON_SURFACE_REP_015_008 datasets. \r\n\r\nData was taken from existing datasets, from National Aeronautics and Space Administration (NASA) the MODIS-Aqua satellite (chlorophyll) and from Copernicus Marine System 2 biogeochemical sets called GLOBAL_MULTIYEAR_BGC_001_029 (https://doi.org/10.48670/moi -00019) and MULTIOBS_GLO_BIO_CARBON_SURFACE_REP_015_008 (https://doi.org/10.48670/moi-00047) from which the anomalies were computed and the files were created using the following Matlab functions:\r\n\r\n1- Humberto L. Varona. (2021). mNC: A tool for Oceanographers and Meteorologists to easily create their NetCDF files using Matlab (1.0). Zenodo. https://doi.org/10.5281/zenodo.5572749\r\n2- Humberto L. Varona. (2021). CalcPlotAnomaly: Matlab function set for the calculation and plotting of anomalies (1.01). Zenodo. https://doi.org/10.5281/zenodo.5576889\r\n\r\nAnomalies were computed for the entire tropic.\r\n\r\nThe parameters are: Chlorophyll concentration, pH, Surface aqueous partial pressure of CO2 , NO3, Surface downward flux of total CO2, PO4, SI, O2, Fe and concentration of phytoplankton.\r\n\r\nAll files are in NetCDF format\r\n\r\nThis dataset was produced for the project Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management, to Tropical Atlantic Interdisciplinary Laboratory on physical, biogeochemical, ecological and human dynamics (IJL TAPIOCA) and the Brazilian Research Network on Global Climate Change (Rede CLIMA).", "keywords": "TROPBGC, Biogeochemical", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34650/?format=api", "dataPath": "/badc/deposited2022/TROPBGC/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 65004890065, "numberOfFiles": 10, "fileFormat": "Data are netCDF formatted" }, "timePeriod": null, "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?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/6645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46765/?format=api" ], "dataLineage": "Data deposited to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/34652/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168203/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34651/?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": 34653, "uuid": "ab8d21568c81491fbb9a300c36884af7", "title": "ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0", "abstract": "This dataset contains the Lakes Essential Climate Variable, which is comprised of processed satellite observations at the global scale, over the period 1992-2020, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website. \r\n\r\nThis is version 2.0 of the dataset. The five thematic climate variables included in this dataset are:\r\n• Lake Water Level (LWL), derived from satellite altimetry, is fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change.\r\n• Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at set time-points, describes the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example. .\r\n• Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, is correlated with regional air temperatures and is informative about vertical mixing regimes, driving biogeochemical cycling and seasonality.\r\n• Lake Ice Cover (LIC), determined from optical observations, describes the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality.\r\n• Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, is a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).\r\n\r\nData 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"dataLineage": "This dataset was generated in the framework of the Lakes CCI+ project, funded by ESA. 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/12066/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30309/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164435/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32839/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2551/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lakes_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 34654, "uuid": "39786f1e6fe2495291558cdc2a0b0aa1", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.6 (v20220119)", "abstract": "Data for Figure 2.6 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 2.6 shows globally averaged atmospheric mixing ratios of ozone-depleting substances and greenhouse gases.\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 three panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Each panel contains atmospheric mixing ratios for select greenhouse gases and/or ozone-depleting substances derived from atmospheric observations and historical compilations from 1950-2019, plotted as the annual mean for each year.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 20, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 21, blue line.\r\n - Datafile: Data_Figure_2_6.csv, column 26, grey line.\r\n - Datafile: Data_Figure_2_6.csv, column 27, brown line.\r\n - Datafile: Data_Figure_2_6.csv, column 22, turquoise line.\r\n\r\n\r\nPanel b:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 23, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 2, red line.\r\n - Datafile: Data_Figure_2_6.csv, column 33, turquoise line.\r\n - Datafile: Data_Figure_2_6.csv, column 34, grey line.\r\n - Datafile: Data_Figure_2_6.csv, column 28, violet line.\r\n\r\n\r\nPanel c:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 24, red line.\r\n - Datafile: Data_Figure_2_6.csv, column 25, cyan line.\r\n - Datafile: Data_Figure_2_6.csv, column 32, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 14, brown line.\r\n - Datafile: Data_Figure_2_6.csv, column 15, orange line.\r\n - Datafile: Data_Figure_2_6.csv, column 13, grey line.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n Some mixing ratios of multiple species were summed for clarity (see Figure caption for details). The summations are included in the data file. Dichloromethane (CH2Cl2) data were smoothed by applying a 3-yr moving average.\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, 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 2.6, global greenhouse gas, chlorofluorocarbon, halon, CFC, HCFC, HFC, CMIP6", "publicationState": "citable", "dataPublishedTime": "2023-05-11T15:04:37", "doiPublishedTime": "2023-07-03T17:40:11", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39214/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig06/v20220119", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19801, "numberOfFiles": 4, "fileFormat": "csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9604/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12611/?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/164440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196258/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34656/?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": 34657, "uuid": "528c3543bc394134916aa792c4a2e700", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.25 (v20220119)", "abstract": "Input 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 Annual mean permafrost temperatures(deg C) for sites in 4 regions at depths indicated based on Romanovsky et al. (2020) in State of the Climate in 2019 BAMS 101(8) p S265-S269 https://doi.org/10.1175/BAMS-D-20-0086.1\r\n Regions based on those in Romanovsky et al. (2017) Ch 4 in Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 2017\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nTime series for each site that was used to determine the regional anomalies shown in the figure\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, 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, Input Figure 2.25, permafrost temperature", "publicationState": "citable", "dataPublishedTime": "2023-05-15T14:12:29", "doiPublishedTime": "2023-07-04T15:04:59.215524", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37673/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/inputdata_ch2_fig25/v20220119", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14457, "numberOfFiles": 4, "fileFormat": "txt, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9605/?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/12628/?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/164450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164467/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34659/?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": 34660, "uuid": "c3450dc769f044898ea5f3be784f354b", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.6 (v20220119)", "abstract": "Data for Figure 3.6 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 3.6 shows simulated internal variability of global surface air temperature (GSAT) versus observed changes. \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 three panels. Files are not separated according to the panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n obs_gmst.nc contains\r\n - Observed GMST anomalies\r\n - Observed GMST difference between 2010-2019 and 1850-1900\r\n \r\n historical_cmip6_gsat.nc contains\r\n - Simulated GSAT anomalies\r\n - Simulated GSAT difference between 2010-2019 and 1850-1900\r\n of CMIP6 historical-ssp245 simulations\r\n \r\n piControl_cmip6_gsat.nc contains - Simulated GSAT anomalies\r\n - Simulated GSAT difference between the last 10 years and the first 51 years of a 170-year segment\r\n of the first 500 years of CMIP6 piControl simulations\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - 5-year running mean of picontrol_tas_aa in piControl_cmip6_gsat.nc\r\n o BCC-CSM2-MR: E = 3\r\n o CMCC-CM2-SR5: E = 11\r\n o CNRM-CM6-1: E = 12\r\n o CNRM-ESM2-1: E = 13\r\n o EC-Earth3: E = 15\r\n o EC-Earth3-Veg: E = 16\r\n o EC-Earth3-Veg-LR: E = 17\r\n o IPSL-CM6A-LR: E = 29\r\n o KIOST-ESM: E = 30\r\n o MCM-UA-1-0: E = 31\r\n \r\n Panel b:\r\n - obs_tas_aa_trend in obs_gmst.nc: black vertical lines\r\n o HadCRUT5: dataset = 1\r\n o BerkeleyEarth: dataset = 2\r\n o NOAAGlobalTemp-Interim: dataset = 3\r\n o Kadow: dataset = 4\r\n - histogram of histssp_tas_aa_trend in historical_cmip6_gsat.nc: red shading\r\n - multimodel ensemble mean of histssp_tas_aa_trend in historical_cmip6_gsat.nc: red vertical line\r\n - histogram of picontrol_tas_aa_runtrend in piControl_cmip6_gsat.nc: blue shading\r\n - multimodel ensemble mean picontrol_tas_aa_runtrend in piControl_cmip6_gsat.nc: blue vertical line\r\n \r\n Panel c:\r\n - obs_tas_aa in obs_gmst.nc: grey curves, with their 5-year running means for black curves\r\n o HadCRUT5: dataset = 1\r\n o BerkeleyEarth: dataset = 2\r\n o NOAAGlobalTemp-Interim: dataset = 3\r\n o Kadow: dataset = 4\r\n\r\n\r\nAcronyms: CMIP - Coupled Model Intercomparison Project, GMST - Global mean surface temperature, GSAT - Global surface air temperature, BCC-CSM - Beijing Climate Center Climate System Model, CMMC CM - Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model, CNRM - Centre National de Recherches Meteorologiques, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, CRU - Climatic Research Unit, NOAA - National Oceanic and Atmospheric Administration. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMultimodel ensemble means and histograms of historical simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. \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", "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 3.6", "publicationState": "citable", "dataPublishedTime": "2022-03-09T13:34:10", "doiPublishedTime": "2023-02-08T17:20:06.304548", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/36808/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig06/v20220119", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 357356, "numberOfFiles": 7, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9606/?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/46958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46968/?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/12353/?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/164476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164480/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34662/?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": 34664, "uuid": "5fb94c8e37f64c95b671278b0e55cdd4", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2021, v3.2.0.2021f", "abstract": "This is version v3.2.0.2021f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20220101_v3.2.1.2021f.nc. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.", "keywords": "HadISD, temperature, dewpoint, pressure, wind, speed, direction, cloud, precipitation", "publicationState": "published", "dataPublishedTime": "2022-01-26T14:37:33", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34665/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-2-0-2021f", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 47620160822, "numberOfFiles": 9291, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9607/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54795/?format=api" ], "dataLineage": "HadISD the global sub-daily station dataset was produced by the Met Office Hadley Centre. It was derived from the Integrated Surface Dataset (ISD) from NOAA's National Climatic Data Center (NCDC). HadISD has been passed to the Centre for Environmental Data Analysis (CEDA) for archiving and distribution.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/13521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168062/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20043/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2561/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 34669, "uuid": "115d5e4ebf7148ec941423ec86fa9f26", "title": "HadEX3: Global land-surface climate extremes indices v3.0.4 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.4 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. More details can be found in the HadEX3 blog under 'Details/Docs' tab.\r\n\r\nAdditionally, an extension to HadEX3, comprising additional indices recommended by the WMO Expert Team on Sector-specific Climate Indices (ET-SCI), has been produced. 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The extremes indices were developed by the former WMO Expert Team on Climate Change Detection and Indices (ETCCDI) and derived from daily, station-based observations. 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/168197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168199/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31943/?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": 34672, "uuid": "a8ebefa818e44f5a8bd259f561ad1555", "title": "Legacy data from Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS)", "abstract": "Legacy data from Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS).\r\n\r\nThese data are as found. They are a legacy from the Geophysical Data Facility (GDF). There is some fortran software which may help decode it.", "keywords": "SAMS", "publicationState": "old", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "historicalArchive", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34671/?format=api", "dataPath": "/badc/sams", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 66846932, "numberOfFiles": 101, "fileFormat": "Unknown" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9609/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2942/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are a legacy from the Geophysical Data Facility (GDF) the predecessor of the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168217/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 34674, "uuid": "f0f32cf3e7884950a585b7a4fda9dcb6", "title": "HadISD: Global sub-daily, surface meteorological station data, 1973-2015, v1.0.4.2015f", "abstract": "This is version 1.0.4.2015f of HadISD (27 April 2015) the Met Office Hadley Centre's global sub-daily data, extending v1.0.3.2014f to span 1/1/1973 - 31/12/2015. \r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed in the quality control process are also provided along with a station listing with IDs, names and location information. The data are provided as one NetCDF file per station. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20151231_v1-0-4-2015f.nc (note, the filenames incorrectly show the start date of 19310101, instead of 19730101). The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Climate of the Past\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.", "keywords": "HadISD, cloud data", "publicationState": "published", "dataPublishedTime": "2022-11-07T16:31:16", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34675/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v1-0-4-2015f", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20345458505, "numberOfFiles": 6117, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9610/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/90493/?format=api" ], "dataLineage": "HadISD the global sub-daily station dataset is produced by the Met Office Hadley Centre. 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The analyzer was installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project. Discrete sampling included precipitation, sea water, and standards from the R/V Alliance. The Picarro L2140-i analyzer is a cavity ring-down spectrometer that uses infrared absorption bands for the retrieval of the water isotope ratios for H216O, H218O, and HDO, quantified as mixing ratio of water vapour (w, ppmv), delta 18-O, and delta-D (permil) at 1 Hz time native resolution. The data set for the R/V Alliance has been joined with the meteorological data from R/V Alliance (https://catalogue.ceda.ac.uk/uuid/b4ba8f11459c422d84d7293b9211ccf7) at 60 s averaging. 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world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RGB dust images from MSG satellites over the full disc at 45.5 degrees East. Imagery available from 1000 UTC 1st June 2022 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nNOTE - this dataset differs from the previous LEDF41 product produced using imagery from Meteosat-8 located at 41.5E. These new data are from Meteosat-9 which was drifted from previous operations over 3.5 E to 45.5 E between 1st February 2022 to 20th April 2022 to take over as the prime IODC (Indian Ocean Data Coverage) satellite by 1st June 2022. See linked EUMETNET web page regarding this change in operation. The Met Office switched to providing this LEDF41 product from this new satellite at 0915 UTC on 1st June 2022, this dataset. See linked datasets for previous data. These are treated as two distinct datasets due to the shift in locational coverage.\r\n\r\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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It was used to produce the figures and statistics of the publication \"Estimating forest aboveground biomass with terrestrial laser scanning: current status and future directions\".\r\n\r\nThis dataset contains 391 entries. Each entry is a tree that was terrestrial laser scanned and consecutively harvested to assess its aboveground biomass (AGB). AGB was also obtained from allometric scaling equations. Several ancillary tree properties such as stem diameter, foliage conditions,... and scan metadata (type of scanner, pattern) are included. We refer to the tab 'headers' for an explanation and units of the respective columns. Elaborate method descriptions can be found in the publication or in the following publications, which can be found in the documentation sections", "keywords": "AGB, TLS, biomass, trees", "publicationState": "published", "dataPublishedTime": "2025-06-05T14:43:07", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34722/?format=api", "dataPath": "/neodc/tls/data/global/tls_tree_biomass/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 52290, "numberOfFiles": 2, "fileFormat": "Excel spreadsheet" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9626/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2951/?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/26683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/43969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44329/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169070/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/34723/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "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": 34729, "uuid": "3aaaaf94813e48f18f2b83242a8dacbe", "title": "ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Grid product, version 1.0", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.0 grid product described here contains gridded data on global burned area derived from surface reflectance data from the OLCI and SLSTR instruments (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites, complemented by VIIRS thermal information. This product, called FireCCIS310 for short, is currently available for 2019, but it is foreseen to be extended for additional years.\r\n\r\nThis gridded dataset has been derived from the FireCCIS310 pixel product (also available) by summarising its burned area information into a regular grid covering the Earth at 0.25 x 0.25 degrees resolution and at monthly temporal resolution. Information on burned area is included in 22 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, and the burned area for 18 land cover classes, as defined by the Copernicus Climate Change Initiative(C3S) Land Cover v2.1.1 product. For further information on the product and its format see the Product User Guide in the linked documentation.", "keywords": "ESA, CCI, Grid, Burned Area, Fire Disturbance, Climate Change, GCOS", "publicationState": "citable", "dataPublishedTime": "2022-04-19T15:17:55", "doiPublishedTime": "2022-04-19T15:18:55", "updateFrequency": "asNeeded", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37144/?format=api", "dataPath": "/neodc/esacci/fire/data/burned_area/Sentinel3_SYN/grid/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 25977800, "numberOfFiles": 13, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10263/?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/8143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/8144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68094/?format=api" ], "dataLineage": "Data was produced by the ESA Fire CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive 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/12077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12111/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13255/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12683/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177557/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/37148/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2539/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_fire_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 34730, "uuid": "c98515f1934a4db68d2007b47c5a8d04", "title": "ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Pixel product, version 1.0", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.0 pixel product is distributed as 6 continental tiles and is based upon surface reflectance data from the OLCI and SLSTR instruments (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites. This information is complemented by VIIRS thermal information. This product, called FireCCIS310 for short, is currently available for 2019, but it is foreseen to be extended for additional years.\r\n\r\nThe FireCCIS310 Pixel product described here includes maps at 0.002777-degree (approx. 300m) resolution. Burned area (BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Copernicus Climate Change Service (C3S) Land Cover v2.1.1 product. An unpacked version of the data is also available. For further information on the product and its format see the Product User Guide in the linked documentation.", "keywords": "ESA, CCI, Pixel, Burned Area, Fire Disturbance, Climate Change, GCOS", "publicationState": "citable", "dataPublishedTime": "2022-04-19T15:14:41", "doiPublishedTime": "2022-04-19T15:18:22", "updateFrequency": "asNeeded", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37145/?format=api", "dataPath": "/neodc/esacci/fire/data/burned_area/Sentinel3_SYN/pixel/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12497999502, "numberOfFiles": 361, "fileFormat": "Data are in GeoTiff format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10264/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data was produced by the ESA Fire CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive 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/12076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12110/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13255/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12683/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177550/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/37148/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2539/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_fire_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 34778, "uuid": "f01914b5dc2942029188d287322c67e5", "title": "BAS-MASIN flight 319: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 319 on 23 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area.", "keywords": "ORCHESTRA, aircraft, meteorology, BAS, MASIN, twin-otter", "publicationState": "published", "dataPublishedTime": "2022-02-22T11:59:33", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34779/?format=api", "dataPath": "/badc/orchestra/data/twinotter/flight319_20190223", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 152742610, "numberOfFiles": 4, "fileFormat": "MASIN data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9637/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2957/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65713/?format=api", 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Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory.", "keywords": "tls, biomass, trees, Downfall Creek, Australia", "publicationState": "published", "dataPublishedTime": "2025-04-08T10:51:52", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43918/?format=api", "dataPath": "/neodc/tls/data/raw/australia/AEP-02/2018-08-31.001.riproject", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34172635329, "numberOfFiles": 1554, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9660/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2979/?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/43637/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169508/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43911/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "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": 34897, "uuid": "e4eac61c06e348389f16bb863334dbf6", "title": "Water budget and Lagrangian analysis of tropical tropopause in simulations with Hadley Centre Global Environmental Model version 3 (HadGEM3)", "abstract": "This dataset contains water budget and Lagrangian analysis of the tropical tropopause from climate model simulations and Lagrangian trajectory calculations. This study was conducted to understand better the role of convection as water vapour enters the tropical stratosphere (above about 17.4km), in particular in future scenarios.\r\n\r\nThe atmosphere component of HadGEM3, Global Atmosphere (GA) 7.0, was run for three different scenarios. Based on the SPARC Quasi-Biennial Oscillation initiative (QBOi) experiments 2,3,4, these force the atmosphere model with year 2002 conditions (e.g. of solar radiation and sea surface temperatures) every year for 21 years, so that each year experiences identical boundary conditions. The first scenario has no modifications (as a control), the second has doubled CO2 concentrations and sea surface temperatures (SSTs) are increased by 2K, andthe third has quadrupled CO2 concentrations and SSTs are increased by 4K. Simulations were allowed 10 years to stabilise to their modified forcing conditions and the final 11 years were analysed further. These simulations were chosen because they give a simplified indication of how the atmosphere might change in the 21st century.\r\n\r\nA second component to this dataset is estimates of water vapour entering the stratosphere with the available output. For this, climate model output was used for Lagrangian calculations which were conducted with the OFFLINE trajectory model.\r\n\r\nRecords includes:\r\n-increments of all model processes that affect water vapour and ice (to get a full water budget) at grid points around the tropical tropopause (altitude of 17.4km and 18.0km, 40degS - 40degN and 180W - 180E) as monthly means of 6 hourly instantaneous values across the first two years after stabilisation. \r\n- locations and timing of model grid points above the minimum saturation mixing ratio in the vertical profile (the dry point) that exhibit convective ice injection (fast transport of ice by strong cloud processes)\r\n- monthly mean values of estimates of water vapour concentration above the tropical tropopause. These values include the HadGEM3 calculation, and proxies based on the dry point or on Lagrangian (trajectory-following) calculations of water vapour passing through the tropical tropopause.\r\n\r\nThese records are analysed in:\r\nSmith, J. W., Bushell, A. C., Butchart.,N. , Haynes, P. H., Maycock, A. C., The effect of convective injection of ice on stratospheric water vapor in a changing climate, Geophysical Research Letters, submitted 12/21.\r\n\r\nLinks for further information:\r\n\r\nHadGEM3:\r\nhttps://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model/climate-models/hadgem3\r\n\r\nQBOi experiment:\r\nButchart, N., Anstey, J. A., Hamilton, K., Osprey, S., McLandress, C., Bushell, A. C., … Yukimoto, S. (2018). Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi). Geoscientific Model Development, 11(3), 1009–1032. https://doi.org/10.5194/gmd-11-1009-2018\r\n\r\nOFFLINE trajectory model:\r\nhttp://www.met.reading.ac.uk/~swrmethn/offline/", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2022-03-04T08:36:39", "doiPublishedTime": "2022-03-04T08:41:57", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34898/?format=api", "dataPath": "/badc/deposited2022/Lagrangian_H2Ostrat_projection/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 507485970, "numberOfFiles": 21, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9666/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2985/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86687/?format=api" ], "dataLineage": "Climate model simulations were conducted at the UK Met Office. \r\nLagrangian calculations were then conducted with climate model output on JASMIN.\r\nOutput of the simulations and Lagrangian calculations was then analysed with the contained scripts.\r\nKey output has been processed and stored as netcdf files herein.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/11107/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/34899/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169711/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34902/?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": 35039, "uuid": "5b0d2588954e404ab03e8f439d48a8d3", "title": "Multi-frequency, three-dimensional, four-component ocean bottom seismometer dataset acquired from an active fluid flow structure: Scanner Pockmark, North Sea.", "abstract": "A three-dimensional wide-angle active source seismic dataset was acquired during RRS James Cook cruise JC152 (August - September 2017), around the Scanner Pockmark Complex in the North Sea. Data were recorded on 25 four-component ocean bottom seismometers, recording at a sampling rate of 4 kHz. Four different seismic sources were used: \r\n\r\n1) a 700 ci (100, 200 and 400 ci) Bolt airgun array towed at 10-12 m below sea surface and fired at 10 s intervals; \r\n2) a 420 ci (2 x 105/105 ci) GI airgun array, towed at 2 m depth below sea surface and fired at 8 s intervals; \r\n3) a Squid sparker (1750 or 2000 J), towed at the sea surface and triggered at 2 s intervals; and, \r\n4) a Duraspark sparker (2000 J), towed at the sea surface and triggered at 2 s intervals. \r\n\r\nThis dataset complements Bayrakci et al. (2021; https://doi.org/10.1594/PANGAEA.932200) and updates instrument and shot corrections to fit a single, unique set of instrument positions, generated using a grid search algorithm. \r\n\r\nData are provided in standard SEG-Y format. The shot line geometry corrections were performed following the method described in the accompanying document CHIMNEY_OBS_corrections_summary.pdf. All location information is also present in the positioning directory. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1.", "keywords": "seismic reflection, ocean bottom seismograph, active source seismology, passive source seismology, fluid flow pathways", "publicationState": "published", "dataPublishedTime": "2022-04-27T11:36:51", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/35040/?format=api", "dataPath": "/bodc/USO220011/CHIMNEY_OBS_active", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 868369944141, "numberOfFiles": 924, "fileFormat": "Data are SEGY formatted data files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10226/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3409/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Three-dimensional wide-angle active source seismic data were acquired during NERC cruise JC152 from August-September 2017 in the North Sea. The raw data were processed by the science party and provided to the British Oceanographic Data Centre for long-term archive. Data were subsequently archived and catalogued at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37051/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37081/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/170195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177024/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/37080/?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": 35144, "uuid": "91fe5a23aefa4ad59dc7288b0e3a46cd", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Altmunster, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Altmunster, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. 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This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06240.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. Note: this WIGOS ID is shared by 4 instruments located at the site. Data from the 4 instruments use one shared value for latitude and longitude:\r\n\r\nLatitude: 52.317008972168 N\r\nLongitude: 4.80366992950439 E\r\n \r\nThe actual instrument deployments are as follows:\r\n\r\nInstrument: Amsterdam AP Schiphol A\r\nLatitude: 52.317010 N\r\nLongitude: 4.803670 E\r\nAltitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 27\r\n\r\nInstrument: Amsterdam AP Schiphol B\r\nLatitude: 52.286140 N\r\nLongitude: 4.729310 E\r\n-Altitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 06\r\n \r\nInstrument: Amsterdam AP Schiphol C\r\nLatitude: 52.368290 N\r\nLongitude: 4.712660 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18R\r\n \r\nInstrument: Amsterdam AP Schiphol D\r\nLatitude: 52.3395500183105 N\r\nLongitude: 4.7407398223877 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18C \r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. 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This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01010.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2022-03-02T13:40:13", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/35188/?format=api", "dataPath": "/badc/eprofile/data/daily_files/norway/andoya/met-norway-lufft-chm15k_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4853362782, "numberOfFiles": 1844, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9740/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3007/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62526/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). 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