Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=7600
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See linked documentation for available information for each component." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2520, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 1, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 30331, "uuid": "fbe91ab3e744426aa677b7ce2ed3e925", "short_code": "proj", "title": "WCRP CMIP6: the NIMS-KMA team contribution", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 contribution to the project by the the NIMS-KMA team The the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA) team." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1050, 6021, 6022, 6023, 6024, 6086, 6087, 6088, 6089, 6092, 6099, 6250, 6252, 6310, 6506, 6720, 6721, 6814, 6816, 6818, 7767, 7768, 7769, 7770, 7772, 7773, 7775, 7776, 7777, 7778, 7795, 8167, 9045, 9738, 9749, 9760, 9846, 9874, 9917, 10024, 10409, 10410, 10411, 10988, 11068, 11080, 11081, 11287, 11300, 11301, 19310, 19324, 19454, 19455, 19456, 19457, 19482, 19483, 19484, 19485, 19489, 19495, 19496, 19497, 19498, 19499, 19504, 19505, 19509, 19539, 19549, 19572, 19712, 19795, 19797, 21827, 21828, 21829, 27591, 27597, 27630, 27631, 27636, 27642, 27643, 27647, 27648, 27654, 27662, 27663, 27664, 27669, 27672, 27675, 27694, 27695, 27740, 27741, 27742, 27743, 27744, 27745, 27746, 27750, 27751, 27752, 27753, 27755, 27763, 27764, 27767, 27773, 27774, 27775, 27776, 27777, 27783, 27785, 27786, 27790, 27796, 27801, 27804, 27805, 27806, 27807, 27808, 27810, 27811, 27812, 27815, 27820, 27823, 27824, 27827, 27881, 27882, 27883, 27884, 27885, 27890, 27896, 27906, 27912, 27924, 27965, 28000, 28018, 28066, 28089, 28121, 28134, 28192, 28853, 29251 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30334, "uuid": "fffdb393206747c8bdc2f2613b1f0f5e", "short_code": "coll", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output collection", "abstract": "The the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the NIMS-KMA team UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "responsiblepartyinfo_set": [ 163951, 163949, 163946, 163945, 163944, 163943, 163942, 163941, 163940, 164745, 163952, 163950, 163947, 163948, 164746 ], "onlineresource_set": [ 47446, 47447, 47449, 47451, 47453, 47455, 47456, 50286 ] }, { "ob_id": 34557, "uuid": "dc6c126c95b1445d8e66d6b9f62054d4", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.3 (v20221116)", "abstract": "Data for Figure SPM.3 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.3 shows the synthesis of assessed observed and attributable regional changes in hot extremes, heavy precipitation and agricultural and ecological droughts and confidence in human contribution to the observed changes in the world’s regions.\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nPanel a: Synthesis of assessment of observed change in hot extremes and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel b: Synthesis of assessment of observed change in heavy precipitation and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel c: Synthesis of assessment of observed change in agricultural and ecological drought and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\n\r\n·\tData file: 'SPM3_panel_a.csv' (AR6 world regions, observed change in hot extremes, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (red), [decrease](blue),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: 'SPM3_panel_b.csv' (AR6 world regions, observed change in heavy precipitation, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (green), [decrease](yellow),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: 'SPM3_panel_c.csv' (AR6 world regions, observed change in agricultural and ecological drought, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (yellow), [decrease](green),[low agreement in type of change](white/grey),[limited data and/or literature](grey) \r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe data in the files is an assessment of section 11.9 in chapter 11 that is provided in the second first two columns of the tables in that section.\r\n\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (IPCC Report SPM)\r\n- Link to related publication for input data\r\n- Link to the webpage of the WGI report", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T02:51:42", "updateFrequency": "notPlanned", "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).", "removedDataReason": "", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.3, Extremes, Chapter 11.", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2023-02-22T10:26:25", "doiPublishedTime": "2023-07-03T12:08:39.605336", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 39204, "dataPath": "/badc/ar6_wg1/data/spm/spm_03/v20221116", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17234, "numberOfFiles": 6, "fileFormat": "csv" }, "timePeriod": { "ob_id": 9132, "startTime": "1950-01-01T00:00:00", "endTime": "2020-12-31T23:59:59" }, "resultQuality": { "ob_id": 4319, "explanation": "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).", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2022-11-16" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 33238, "uuid": "4aebe150972142f1adc2932a40abb295", "short_code": "comp", "title": "Caption for Figure SPM.3 from the Summary for Policymakers of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "The IPCC AR6 WGI inhabited regions are displayed as hexagons with identical size in their approximate geographical location (see legend for regional acronyms). All assessments are made for each region as a whole and for the 1950s to the present. Assessments made on different time scales or more local spatial scales might differ from what is shown in the figure. The colours in each panel represent the four outcomes of the assessment on observed changes. White and light grey striped hexagons are used where there is low agreement in the type of change for the region as a whole and grey hexagons are used when there is limited data and/or literature that prevents an assessment of the region as a whole. Other colours indicate at least medium confidence in the observed change. The confidence level for the human influence on these observed changes is based on assessing trend detection and attribution and event attribution literature, and it is indicated by the number of dots: three dots for high confidence, two dots for medium confidence and one dot for low confidence (filled: limited agreement; empty: limited evidence). \r\n\r\nPanel a) For hot extremes, the evidence is mostly drawn from changes in metrics based on daily maximum temperatures; regional studies using other indices (heatwave duration, frequency and intensity) are used in addition. Red hexagons indicate regions where there is at least medium confidence in an observed increase in hot extremes. \r\n\r\nPanel b) For heavy precipitation, the evidence is mostly drawn from changes in indices based on one-day or five-day precipitation amounts using global and regional studies. Green hexagons indicate regions where there is at least medium confidence in an observed increase in heavy precipitation. \r\n\r\nPanel c) Agricultural and ecological droughts are assessed based on observed and simulated changes in total column soil moisture, complemented by evidence on changes in surface soil moisture, water balance (precipitation minus evapotranspiration) and indices driven by precipitation and atmospheric evaporative demand. Yellow hexagons indicate regions where there is at least medium confidence in an observed increase in this type of drought and green hexagons indicate regions where there is at least medium confidence in an observed decrease in agricultural and ecological drought. \r\n\r\nFor all regions, table TS.5 shows a broader range of observed changes besides the ones shown in this figure. Note that SSA is the only region that does not display observed changes in the metrics shown in this figure, but is affected by observed increases in mean temperature, decreases in frost, and increases in marine heatwaves. {11.9, Table TS.5, Box TS.10, Figure 1, Atlas 1.3.3, Figure Atlas.2}" }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 65386, 65387, 65388, 86919 ], "vocabularyKeywords": [], "identifier_set": [ 12562 ], "observationcollection_set": [ { "ob_id": 32729, "uuid": "ae4f1eb6fce24adcb92ddca1a7838a5c", "short_code": "coll", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nWhen using the datasets from this collection please use the citation indicated on each individual specific dataset, rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure SPM.1\r\n- data for Figure SPM.2\r\n- data for Figure SPM.3\r\n- data for Figure SPM.4\r\n- data for Figure SPM.5\r\n- data for Figure SPM.6\r\n- data for Figure SPM.7\r\n- data for Figure SPM.8\r\n- data for Figure SPM.9\r\n- data for Figure SPM.10" } ], "responsiblepartyinfo_set": [ 163968, 163967, 163966, 163965, 163964, 163963, 163962, 163961, 190879, 163969, 163970 ], "onlineresource_set": [ 47457, 47458, 47470, 82813 ] }, { "ob_id": 34559, "uuid": "678ee967fe114a34a6d1f7d50e4aa7ee", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.34 (v20220104)", "abstract": "Data for Figure 3.34 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.34 shows attribution of observed seasonal trends in the annular modes to forcings. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 panels, and all the data are provided in a single file named NAM_SAM_detection_attribution.nc.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Observed and simulated DJF NAM trends for 1958-2019\r\n - Observed and simulated JJA NAM trends for 1958-2019\r\n - Observed and simulated DJF SAM trends for 1979-2019\r\n - Observed and simulated JJA SAM trends for 1979-2019\r\n - Observed and simulated DJF SAM trends for 2000-2019\r\n - Observed and simulated JJA SAM trends for 2000-2019\r\n Simulations are from CMIP6 historical, hist-GHG, hist-aer, hist-nat, and hist-stratO3 simulations, and from equivalent time segments from CMIP6 piControl simulations (one segment from one model).\r\n\r\nNAM: Northern Annular Mode \r\nSAM: Southern Annular Mode\r\nGHG: greenhouse gas\r\nJJA: June, July, August\r\nDJF: December, January, February\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - NAM_obs_DJF_1958_2019: grey horizontal lines in the left\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - NAM_piControl_DJF_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left\r\n - NAM_hist_DJF_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_GHG_DJF_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_aer_DJF_1958_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_stratO3_DJF_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_nat_DJF_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_obs_JJA_1958_2019: grey horizontal lines in the right\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - NAM_piControl_JJA_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right\r\n - NAM_hist_JJA_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_GHG_JJA_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_aer_JJA_1958_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_stratO3_JJA_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_nat_JJA_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right\r\n \r\n Panel b:\r\n - SAM_obs_DJF_1979_2019: grey horizontal lines in the left\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_DJF_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left\r\n - SAM_hist_DJF_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_GHG_DJF_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_aer_DJF_1979_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_stratO3_DJF_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_nat_DJF_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_obs_JJA_1979_2019: grey horizontal lines in the right\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_JJA_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right\r\n - SAM_hist_JJA_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_GHG_JJA_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_aer_JJA_1979_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_stratO3_JJA_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_nat_JJA_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right\r\n \r\n Panel c:\r\n - SAM_obs_DJF_2000_2019: grey horizontal lines in the left\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_DJF_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left\r\n - SAM_hist_DJF_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_GHG_DJF_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_aer_DJF_2000_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_stratO3_DJF_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_nat_DJF_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_obs_JJA_2000_2019: grey horizontal lines in the right\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_JJA_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right\r\n - SAM_hist_JJA_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_GHG_JJA_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_aer_JJA_2000_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_stratO3_JJA_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_nat_JJA_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMultimodel ensemble means, interquartile ranges and 5th and 95th percentiles of historical and hist-* simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is given as the weight attribute of each variable. The weighting is not applied to piControl simulations.\r\n\r\nFilled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. ensemble_assign attribute in each variable provides the model number to which each ensemble member belongs. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic.\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 supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T02:51:34", "updateFrequency": "notPlanned", "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).", "removedDataReason": "", "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 3.17, Global monsoon domain, monsoon precipitation, monsoon circulation, global land monsoon precipitation, Northern Hemisphere summer monsoon circulation index, CMIP5, CMIP6, AMIP, Figure 3.34, Annular Modes, NAM, SAM, modes of variability, CMIP6, DAMIP, detection and attribution", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2022-05-09T17:30:32", "doiPublishedTime": "2023-02-08T19:22:45.065870", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": { "ob_id": 92, "highestLevelBound": 0.0, "lowestLevelBound": 0.0, "units": "" }, "result_field": { "ob_id": 37615, "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig34/v20220404", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53398, "numberOfFiles": 4, "fileFormat": "txt, netCDF" }, "timePeriod": { "ob_id": 9579, "startTime": "1958-01-01T12:00:00", "endTime": "2019-12-31T12:00:00" }, "resultQuality": { "ob_id": 3819, "explanation": "Data as provided by the IPCC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2022-01-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 34561, "uuid": "8e19963002ae448fb9c11381491caa25", "short_code": "comp", "title": "Caption for Figure 3.34 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Attribution of observed seasonal trends in the annular modes to forcings. Simulated and observed trends in NAM indices over 1958–2019 (a) and in SAM indices over 1979–2019 (b) and over 2000–2019 (c) for boreal winter (December–February average; DJF) and summer (June–August average; JJA). The indices are based on the difference of the normalized zonally averaged monthly mean sea level pressure between 35ºN and 65ºN for the NAM and between 40ºS and 65ºS for the SAM as defined in Jianping and Wang (2003) and Gong and Wang (1999), respectively; the unit is decade–1. Ensemble mean, interquartile ranges and 5th and 95th percentiles are represented by empty boxes and whiskers for pre-industrial control simulations and historical simulations. The number of ensemble members and models used for computing the distribution is given in the upper-left legend. Grey lines show observed trends from the ERA5 and JRA-55 reanalyses. Multi-model multi-member ensemble means of the forced component of the trends as well as their 5–95% confidence intervals assessed from t-statistics, are represented by filled boxes, based on CMIP6 individual forcing simulations from DAMIP ensembles; greenhouse gases in brown, aerosols in light blue, stratospheric ozone in purple and natural forcing in green. Models with at least three ensemble members are used for the filled boxes, with black dots representing the ensemble means of individual models. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1)." }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 63716, 63717, 63718, 63719, 63720, 63721, 63722, 63723, 63724, 63725, 63726, 63727, 63728, 63729, 63730, 63731, 63732, 63733, 63734, 63735, 63736, 63737, 63738, 63739, 63740, 63741, 63742, 63743, 63744, 63745, 63746, 63747, 63748, 63749, 63750, 63751, 63752, 63753, 63754, 63755, 63756, 63757, 63758, 63759, 63760, 63761, 63762, 63763, 63764 ], "vocabularyKeywords": [], "identifier_set": [ 12380 ], "observationcollection_set": [ { "ob_id": 32718, "uuid": "932c79b1f7cd4f34b7c542f316f39c17", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 3.2\r\n- data for Figure 3.3\r\n- data for Figure 3.4\r\n- data for Figure 3.5\r\n- data for Figure 3.6\r\n- data for Figure 3.7\r\n- data for Figure 3.8\r\n- data for Figure 3.9\r\n- data for Figure 3.10\r\n- data for Figure 3.11\r\n- data for Figure 3.12\r\n- data for Figure 3.13\r\n- data for Figure 3.14\r\n- data for Figure 3.15\r\n- data for Figure 3.16\r\n- data for Figure 3.17\r\n- data for Figure 3.18\r\n- data for Figure 3.19\r\n- data for Figure 3.20\r\n- data for Figure 3.21\r\n- data for Figure 3.22\r\n- data for Figure 3.23\r\n- data for Figure 3.24\r\n- data for Figure 3.25\r\n- data for Figure 3.26\r\n- data for Figure 3.27\r\n- input data for Figure 3.27\r\n- data for Figure 3.28\r\n- input data for Figure 3.28\r\n- data for Figure 3.29\r\n- data for Figure 3.30\r\n- data for Figure 3.31\r\n- data for Figure 3.32\r\n- data for Figure 3.33\r\n- data for Figure 3.34\r\n- data for Figure 3.35\r\n- data for Figure 3.36\r\n- data for Figure 3.37\r\n- data for Figure 3.38\r\n- data for Figure 3.39\r\n- data for Figure 3.40\r\n- data for Figure 3.41\r\n- data for Figure 3.42\r\n- data for Figure 3.43\r\n- data for Figure 3.44\r\n- data for Cross-Chapter Box 3.1.1\r\n- data for Cross-Chapter Box 3.2.1\r\n- data for FAQ 3.1, Figure 1\r\n- data for FAQ 3.2., Figure 1\r\n- data for FAQ 3.3, Figure 1" } ], "responsiblepartyinfo_set": [ 163978, 163977, 163976, 163975, 163974, 163973, 163972, 163971, 163979, 163980, 163981 ], "onlineresource_set": [ 47459, 47460, 52326, 82631, 88585, 89824, 89825, 89826, 89827, 89828, 89829, 89830, 89831, 89832, 89833, 89834, 89835 ] }, { "ob_id": 34563, "uuid": "ff610cf13d9e4c1ba92eb2a3c233b91b", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. 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Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n \r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e and panel_f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Modelled and observed trends of the Northern Hemisphere annual-mean subtropical edge latitude of the Hadley cell for 1980-2014\r\n - Modelled and observed trends of the Southern Hemisphere annual-mean subtropical edge latitude of the Hadley cell for 1980-2014\r\n - Modelled and observed trends of the Southern Hemisphere December-January-February subtropical edge latitude of the Hadley cell for 1981-2000\r\n - Modelled and observed trends of the annual-mean Walker circulation strength for 1901-2010\r\n - Modelled and observed trends of the annual-mean Walker circulation strength for 1951-2010\r\n - Modelled and observed trends of the annual-mean Walker circulation strength for 1980-2014\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - lat in panel_a/NHedge_ANN_1980-2014_ERA-Interim.nc; black dotted line\r\n - lat in panel_a/NHedge_ANN_1980-2014_ERA5.nc; black solid line\r\n - lat in panel_a/NHedge_ANN_1980-2014_JRA-55.nc; black dash-dotted line\r\n - lat in panel_a/NHedge_ANN_1980-2014_MERRA2.nc; black dashed line\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip5hist.nc; multimodel ensemble mean and percentiles for red open box-whisker\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6GHG.nc; multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6aer.nc; multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6amip.nc; multimodel ensemble mean and percentiles for orange open box-whisker\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6hist.nc; multimodel ensemble mean and percentiles for red open box-whisker, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6nat.nc; multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6stratO3.nc; multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_35yrs_cmip6pi.nc; multimodel ensemble mean and percentiles for blue open box-whisker\r\n \r\n Panel b: As Panel a, but with\r\n - lat in panel_b/SHedge_ANN_1980-2014_ERA-Interim.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_ERA5.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_JRA-55.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_MERRA2.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip5hist.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6GHG.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6aer.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6amip.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6hist.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6nat.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6stratO3.nc\r\n - lat in panel_b/SHedge_ANN_35yrs_cmip6pi.nc\r\n \r\n Panel c: As Panel a, but with\r\n - lat in panel_c/SHedge_DJF_1981-2000_ERA-Interim.nc; ERA-Interim\r\n - lat in panel_c/SHedge_DJF_1981-2000_ERA5.nc; ERA5\r\n - lat in panel_c/SHedge_DJF_1981-2000_JRA-55.nc; JRA-55\r\n - lat in panel_c/SHedge_DJF_1981-2000_MERRA2.ncl MERRA2\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip5hist.nc; CMIP5 historical-RCP4.5\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6GHG.nc; CMIP6 hist-GHG\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6aer.nc; CMIP6 hist-aer\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6amip.nc; CMIP6 AMIP\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6hist.nc; CMIP6 historical\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6nat.nc; CMIP6 hist-nat\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6stratO3.nc; CMIP6 hist-stratO3\r\n - lat in panel_c/SHedge_DJF_20yrs_cmip6pi.nc; CMIP6 piControl\r\n \r\n Panel d:\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_20CRv3.nc; max-min range for grey diagonal hatching\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_CERA-20C.nc; max-min range for grey vertical hatching\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_ERA-20C.nc; grey dashed line\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_HadSLP2.nc; grey solid line\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip5hist.nc; multimodel ensemble mean and percentiles for red open box-whisker\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6GHG.nc; multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6aer.nc; multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6amip-hist.nc; multimodel ensemble mean and percentiles for orange open box-whisker\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6hist.nc; multimodel ensemble mean and percentiles for red open box-whisker, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6nat.nc; multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6stratO3.nc; multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_110yrs_cmip6pi.nc; multimodel ensemble mean and percentiles for blue open box-whisker\r\n \r\n Panel e: As Panel d, but with\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_20CRv3.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_CERA-20C.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_ERA-20C.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_HadSLP2.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip5hist.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6GHG.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6aer.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6amip-hist.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6hist.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6nat.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6stratO3.nc\r\n - dslp in panel_e/WalkerStrength_ANN_60yrs_cmip6pi.nc\r\n \r\n Panel f: As Panel d, but with\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_20CRv3.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_ERA-Interim.nc; black dotted line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_ERA5.nc; black solid line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_JRA-55.nc; black dashed-dotted line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_MERRA2.nc; black dashed line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip5hist.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6GHG.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6aer.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6amip-hist.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6hist.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6nat.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6stratO3.nc\r\n - dslp in panel_f/WalkerStrength_ANN_35yrs_cmip6pi.nc\r\n\r\nAcroynms: \r\nAnn - Annual GHG - Greenhouse gas, aer - aerosol, CMIP - Coupled Model Intercomparison Project, 20CRv3 - NOAA-CIRES-DOE Twentieth Century Reanalysis (V3), CERA-20C - Coupled climate reanalyses of the 20th century, HadSLP2 - Hadley Centre Sea Level Pressure dataset (HadSLP2), AMIP - Atmospheric Model Intercomparison Project (AMIP), JRA - The Japanese 55-year Reanalysis (JRA-55), MERRA-2 - Global Modeling and Assimilation Office - NASA.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Ensemble mean, interquartile ranges and 5th and 95th percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, i.e. the inverse of the numbers given as the esize attribute in each variable.\r\n \r\nSuppose X(i) is the array of lat, and w(i) is the corresponding weight.\r\n\r\n- Mean should be suｍ_i(X(i) * w(i)) / sum_i(w(i))\r\n- For percentile values, \r\n 1. Sort X and w so that X is in the ascending order\r\n 2. Accumulate w until i = j so that accumulated(w)/sum_i(w(i)) equals or exceeds the specified percentile level (e.g. 0.05)\r\n 3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value\r\n- Finally, multiply by 10 all numbers for unit conversion.\r\n \r\nFilled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. Model ID of each ensemble member is given as the model_id attribute in each variable. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T02:51:13", "updateFrequency": "notPlanned", "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).", "removedDataReason": "", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Figure 3.16, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.17, Global monsoon domain, monsoon precipitation, monsoon circulation, global land monsoon precipitation, Northern Hemisphere summer monsoon circulation index, CMIP5, CMIP6, AMIP, Hadley cell extent, Walker circulation strength, CMIP5, CMIP6, DAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2022-03-11T13:37:02", "doiPublishedTime": "2023-02-08T18:00:11.116602", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": { "ob_id": 93, "highestLevelBound": 0.0, "lowestLevelBound": 0.0, "units": "" }, "result_field": { "ob_id": 36810, "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig16/v20220105", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 150391, "numberOfFiles": 25, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 9586, "startTime": "1901-01-01T12:00:00", "endTime": "2014-12-31T12:00:00" }, "resultQuality": { "ob_id": 3820, "explanation": "Data as provided by the IPCC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2022-01-06" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 34587, "uuid": "1ae60fbbe4cd4bfeb1b0f4f45d0aa961", "short_code": "comp", "title": "Caption for Figure 3.16 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Model evaluation and attribution of changes in Hadley cell extent and Walker circulation strength. (a–c) Trends in subtropical edge latitude of the Hadley cells in (a) the Northern Hemisphere for 1980–2014 annual mean and (b, c) Southern Hemisphere for (b) 1980–2014 annual mean and (c) 1980/81–1999/2000 December–January–February mean. Positive values indicate northward shifts. (d–f) Trends in the Pacific Walker circulation strength for (d) 1901–2010, (e) 1951–2010 and (f) 1980–2014. Positive values indicate strengthening. Based on CMIP5 historical (extended with RCP4.5), CMIP6 historical, AMIP, pre-industrial control, and single forcing simulations along with HadSLP2 and reanalyses. Pre-industrial control simulations are divided into non-overlapping segments of the same length as the other simulations. White boxes and whiskers represent mean, interquartile ranges and 5th and 95th percentiles, calculated after weighting individual members with the inverse of the ensemble of the same model, so that individual models are equally weighted (Section 3.2). The filled boxes represent the 5–95% confidence interval on the multi-model mean trends of the models with at least three ensemble members, with dots indicating the ensemble means of individual models. The edge latitude of the Hadley cell is defined where the surface zonal wind velocity changes sign from negative to positive, as described in the Appendix of Grise et al. (2018). The Pacific Walker circulation strength is evaluated as the annual mean difference of sea level pressure between 5ºS–5ºN, 160ºW–80ºW and 5ºS–5ºN, 80ºE–160ºE. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1)." }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 60501, 60502, 60503 ], "vocabularyKeywords": [], "identifier_set": [ 12362 ], "observationcollection_set": [ { "ob_id": 32718, "uuid": "932c79b1f7cd4f34b7c542f316f39c17", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 3.2\r\n- data for Figure 3.3\r\n- data for Figure 3.4\r\n- data for Figure 3.5\r\n- data for Figure 3.6\r\n- data for Figure 3.7\r\n- data for Figure 3.8\r\n- data for Figure 3.9\r\n- data for Figure 3.10\r\n- data for Figure 3.11\r\n- data for Figure 3.12\r\n- data for Figure 3.13\r\n- data for Figure 3.14\r\n- data for Figure 3.15\r\n- data for Figure 3.16\r\n- data for Figure 3.17\r\n- data for Figure 3.18\r\n- data for Figure 3.19\r\n- data for Figure 3.20\r\n- data for Figure 3.21\r\n- data for Figure 3.22\r\n- data for Figure 3.23\r\n- data for Figure 3.24\r\n- data for Figure 3.25\r\n- data for Figure 3.26\r\n- data for Figure 3.27\r\n- input data for Figure 3.27\r\n- data for Figure 3.28\r\n- input data for Figure 3.28\r\n- data for Figure 3.29\r\n- data for Figure 3.30\r\n- data for Figure 3.31\r\n- data for Figure 3.32\r\n- data for Figure 3.33\r\n- data for Figure 3.34\r\n- data for Figure 3.35\r\n- data for Figure 3.36\r\n- data for Figure 3.37\r\n- data for Figure 3.38\r\n- data for Figure 3.39\r\n- data for Figure 3.40\r\n- data for Figure 3.41\r\n- data for Figure 3.42\r\n- data for Figure 3.43\r\n- data for Figure 3.44\r\n- data for Cross-Chapter Box 3.1.1\r\n- data for Cross-Chapter Box 3.2.1\r\n- data for FAQ 3.1, Figure 1\r\n- data for FAQ 3.2., Figure 1\r\n- data for FAQ 3.3, Figure 1" } ], "responsiblepartyinfo_set": [ 164108, 164109, 164107, 164106, 164105, 164104, 164103, 164102, 164110, 164111 ], "onlineresource_set": [ 47534, 47533, 52373, 82868, 88565, 90061, 90062, 90063, 90064, 90065, 90066, 90067, 94609 ] }, { "ob_id": 34591, "uuid": "e1ff6e07cd624c59a7e7983ce60add44", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.9 (v20220105)", "abstract": "Data for Figure SPM.9 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.9 provides a synthesis of the number of AR6 WGI reference regions where climatic impact-drivers are projected to change.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range\r\n---------------------------------------------------\r\n\r\nNumber of land & coastal regions and open-ocean regions where each Climatic Impact-Drivers (CID) is projected to increase or decrease with high confidence or medium confidence. Changes refer to a 20–30 year period centred around 2050 and/or consistent with 2°C global warming compared to a similar period within 1960-2014, except for hydrological drought and agricultural and ecological drought which is compared to 1850-1900. \r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in a single file named consolidated_data_figure_SPM9.csv\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains the number of AR6 WGI regions where climatic impact-drivers are projected to change if a global warming level of 2°C is reached compared to a climatological reference period included within 1960-2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nData file: consolidated_data_figure_SPM.9.csv (count of regions with increasing or decreasing changes in climatic impact-drivers); relates to panel (a) and panel (b) and it's shown by the bars in the figure. The first row of data relates to the darker purple bars, the second row to the lighter purple bars, the third row to the lighter brown bars and the fourth row to the darker brown bars. Row 5 represents the maximum number of regions for which each climatic impact-driver is relevant. It is shown on the figure as the lighter-shaded ‘envelope’.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n\r\n - Link to origin of figure (IPCC WG1 Summary for Policy Makers)\r\n - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers)\r\n - Link to the Interactive Atlas webpage\r\n - Link to the figure on the IPCC AR6 website", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T02:09:54", "updateFrequency": "notPlanned", "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).", "removedDataReason": "", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Figure SPM.9, climatic impact-drivers, projection, AR6 regions", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2023-02-22T12:25:08", "doiPublishedTime": "2023-07-03T12:21:53.313318", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": { "ob_id": 35, "highestLevelBound": 0.0, "lowestLevelBound": 0.0, "units": "Kilometers" }, "result_field": { "ob_id": 34592, "dataPath": "/badc/ar6_wg1/data/spm/spm_09/v20220105", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6562, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted." }, "timePeriod": null, "resultQuality": { "ob_id": 4220, "explanation": "Data as provided by the IPCC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2023-02-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 32915, "uuid": "1c2ecbedc7754e4cbe92f12f8b4bfa21", "short_code": "comp", "title": "Caption for Figure SPM.9 from the Summary for Policymakers of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Synthesis of the number of AR6 WGI reference regions where climatic impact-drivers are projected to change\r\n\r\nA total of 35 climatic impact-drivers (CIDs) grouped into seven types are shown: heat and cold, wet and dry, wind, snow and ice, coastal, open ocean and other. For each CID, the bar in the graph below displays the number of AR6 WGI reference regions where it is projected to change. The colours represent the direction of change and the level of confidence in the change: purple indicates an increase while brown indicates a decrease; darker and lighter shades refer to high and medium confidence, respectively. Lighter background colours represent the maximum number of regions for which each CID is broadly relevant.\r\n\r\nPanel a) shows the 30 CIDs relevant to the land and coastal regions while panel b) shows the 5 CIDs relevant to the open ocean regions. Marine heatwaves and ocean acidity are assessed for coastal ocean regions in panel a) and for open ocean regions in panel b). Changes refer to a 20–30 year period centred around 2050 and/or consistent with 2°C global warming compared to a similar period within 1960-2014, except for hydrological drought and agricultural and ecological drought which is compared to 1850-1900. Definitions of the regions are provided in Atlas.1 and the Interactive Atlas (see interactive-atlas.ipcc.ch). \r\n\r\n{Table TS.5, Figure TS.22, Figure TS.25, 11.9, 12.2, 12.4, Atlas.1} (Table SPM.1)" }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 12564 ], "observationcollection_set": [ { "ob_id": 32729, "uuid": "ae4f1eb6fce24adcb92ddca1a7838a5c", "short_code": "coll", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nWhen using the datasets from this collection please use the citation indicated on each individual specific dataset, rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure SPM.1\r\n- data for Figure SPM.2\r\n- data for Figure SPM.3\r\n- data for Figure SPM.4\r\n- data for Figure SPM.5\r\n- data for Figure SPM.6\r\n- data for Figure SPM.7\r\n- data for Figure SPM.8\r\n- data for Figure SPM.9\r\n- data for Figure SPM.10" } ], "responsiblepartyinfo_set": [ 164133, 164132, 164131, 164130, 164129, 164128, 164127, 164126, 164134, 164135, 164136 ], "onlineresource_set": [ 47539, 47538, 47537, 82823 ] }, { "ob_id": 34596, "uuid": "44864a906fb14075bf81db6f0bf068e7", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 2.3, Figure 1 (v20221115)", "abstract": "Data for CCB 2.3, Figure 1 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\nThis figure shows changes in the assessment of observed global surface temperature between AR5 and AR6.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - The upper panel provides a graphical summary of the text in CCB2.3 which describes how the assessment of observed global surface temperature change has changed between AR5 and AR6.\r\n - The lower panel shows observed global mean surface temperature from 1850 to the latest date available, as assessed in AR5 (finishes 2012) and AR6 (finishes 2020).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Upper panel: \r\n \r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 2: Lower bound\r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 3: Central estimate\r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 4: Upper bound\r\n\r\n\r\nLower panel: \r\n \r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 2: blue line\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 3: orange line (1880-2012)\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 4: dotted blue line\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 5: faint orange line (1850-1880)\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", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2022-11-15T12:41:06", "updateFrequency": "notPlanned", "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).", "removedDataReason": "", "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 CCB 2.3, global temperature", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2023-05-15T12:35:13", "doiPublishedTime": "2023-07-03T20:28:43", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": { "ob_id": 96, "highestLevelBound": 0.0, "lowestLevelBound": 0.0, "units": "" }, "result_field": { "ob_id": 39193, "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_ccb2_3_1/v20221115", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 79003, "numberOfFiles": 6, "fileFormat": "csv, txt" }, "timePeriod": { "ob_id": 9589, "startTime": "1850-01-01T12:00:00", "endTime": "2020-12-31T12:00:00" }, "resultQuality": { "ob_id": 3823, "explanation": "Data as provided by the IPCC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2022-01-06" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 34598, "uuid": "474129fea6864e5facefc8b92ad25043", "short_code": "comp", "title": "Caption for CCB 2.3, Figure 1 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Changes in assessed historical surface temperature changes since AR5. (a) Summary of the impact of various steps from AR5 assessment warming-to-date number for 1880–2012 using a linear trend fit to the AR6 assessment based upon the difference between 1850–1900 and 2011–2020. Whiskers provide 90% (very likely) ranges. AR6 assessment in addition denotes additional warming since the period around 1750 AR6 assessment in addition denotes additional warming since the period around 1750 (Cross-Chapter Box 1.2). (b) Time series of the average of assessed AR5 series (orange, faint prior to 1880 when only HadCRUT4 was available) and AR6 assessed series (blue) and their differences (offset) including an illustration of the two trend fitting metrics used in AR5 and AR6. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1)." }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 12622 ], "observationcollection_set": [ { "ob_id": 32717, "uuid": "3da412ad9912427d9bb808b57faa21a7", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 2: Changing state of the climate system", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 2: Changing state of the climate system.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- input data for Figure 2.2\r\n- data for Figure 2.4\r\n- data for Figure 2.5\r\n- data for Figure 2.6\r\n- data for Figure 2.9\r\n- data for Figure 2.11\r\n- input data for Figure 2.11\r\n- data for Figure 2.12\r\n- input data for Figure 2.12\r\n- data for Figure 2.13\r\n- input data for Figure 2.13\r\n- data for Figure 2.14\r\n- data for Figure 2.15\r\n- input data for Figure 2.15\r\n- input data for Figure 2.16\r\n- data for Figure 2.17\r\n- data for Figure 2.22\r\n- input data for Figure 2.23\r\n- data for Figure 2.25\r\n- input data for Figure 2.25\r\n- data for Figure 2.26\r\n- input data for Figure 2.27\r\n- data for Figure 2.28\r\n- input data for Figure 2.29\r\n- data for Figure 2.36\r\n- data for Figure 2.37\r\n- data for Figure 2.38\r\n- data for Cross-Chapter Box 2.1.1\r\n- data for Cross-Chapter Box 2.3.1" } ], "responsiblepartyinfo_set": [ 164157, 164156, 164155, 164154, 164153, 164152, 164151, 164150, 196265, 164158 ], "onlineresource_set": [ 47542, 47543, 82839 ] }, { "ob_id": 34599, "uuid": "c6f19b27f8e74e98968c17c8e1f74c60", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.5 (v20221116)", "abstract": "Data for Figure 2.5 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 2.5 shows globally-averaged dry-air mole fractions of CO2, CH4, and N2O derived from surface observations.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels (a, b, c), and each panel contains an insert. Data provided for all panels in one single file (Data_Figure_2_5.csv).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time series for:\r\n \r\n - Observed atmospheric global carbon dioxide (CO2) (1958-2019).\r\n - Observed atmospheric global methane (CH4) (1979-2019).\r\n - Observed atmospheric global nitrous oxide (N2O) (1979-2019).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 2, grey line.\r\n - Data file Data_Figure_2_5.csv, column 17, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 29, yellow line.\r\n\r\n\r\nInset panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 3, grey line.\r\n - Data file Data_Figure_2_5.csv, column 18, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 30, yellow line.\r\n\r\n\r\nPanel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 5, grey line.\r\n - Data file Data_Figure_2_5.csv, column 20, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 11, red line.\r\n - Data file Data_Figure_2_5.csv, column 26, green circles.\r\n\r\n\r\nInset panel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 6, grey line.\r\n - Data file Data_Figure_2_5.csv, column 21, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 12, red line.\r\n - Data file Data_Figure_2_5.csv, column 27, green line.\r\n\r\n\r\nPanel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 8, grey line.\r\n - Data file Data_Figure_2_5.csv, column 23, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 14, red line.\r\n\r\n\r\nInset panel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 9, grey line.\r\n - Data file Data_Figure_2_5.csv, column 24, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 15, red line.\r\n\r\n\r\nAcronyms: \r\nNOAA - National Oceanic and Atmospheric Administration\r\nAGAGE - Advanced Global Atmospheric Gases Experiment\r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation\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", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2022-11-17T16:04:34", "updateFrequency": "notPlanned", "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).", "removedDataReason": "", "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 2.5, global, carbon dioxide, methane, nitrous oxide, greenhouse gas.", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2023-05-11T14:25:39", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": { "ob_id": 97, "highestLevelBound": 0.0, "lowestLevelBound": 0.0, "units": "" }, "result_field": { "ob_id": 39187, "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig05/v20221116", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 260612, "numberOfFiles": 4, "fileFormat": "csv, txt" }, "timePeriod": { "ob_id": 9590, "startTime": "1978-01-01T12:00:00", "endTime": "2019-12-31T12:00:00" }, "resultQuality": { "ob_id": 3824, "explanation": "Data as provided by the IPCC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2022-01-06" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 34601, "uuid": "1a350bae6e374946a70809f21cee0bea", "short_code": "comp", "title": "Caption for Figure 2.5 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Globally averaged dry-air mole fractions of greenhouse gases. (a) CO2 from SIO, CSIRO, and NOAA/GML (b) CH4 from NOAA, AGAGE, CSIRO, and UCI; and (c) N2O from NOAA, AGAGE, and CSIRO (Table 2.2). Growth rates, calculated as the time derivative of the global means after removing seasonal cycle are shown as inset figures. Note that the CO2 series is 1958–2019 whereas CH4, and N2O are 1979–2019. Units are parts per million (ppm) or parts per billion (ppb). Further details on data are in Annex III, and on data sources and processing are available in the chapter data table (Table 2.SM.1)." }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 32717, "uuid": "3da412ad9912427d9bb808b57faa21a7", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 2: Changing state of the climate system", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 2: Changing state of the climate system.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- input data for Figure 2.2\r\n- data for Figure 2.4\r\n- data for Figure 2.5\r\n- data for Figure 2.6\r\n- data for Figure 2.9\r\n- data for Figure 2.11\r\n- input data for Figure 2.11\r\n- data for Figure 2.12\r\n- input data for Figure 2.12\r\n- data for Figure 2.13\r\n- input data for Figure 2.13\r\n- data for Figure 2.14\r\n- data for Figure 2.15\r\n- input data for Figure 2.15\r\n- input data for Figure 2.16\r\n- data for Figure 2.17\r\n- data for Figure 2.22\r\n- input data for Figure 2.23\r\n- data for Figure 2.25\r\n- input data for Figure 2.25\r\n- data for Figure 2.26\r\n- input data for Figure 2.27\r\n- data for Figure 2.28\r\n- input data for Figure 2.29\r\n- data for Figure 2.36\r\n- data for Figure 2.37\r\n- data for Figure 2.38\r\n- data for Cross-Chapter Box 2.1.1\r\n- data for Cross-Chapter Box 2.3.1" }, { "ob_id": 43269, "uuid": "9177e927f0664da9bf1e25f57561d0d8", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Synthesis Report (SYR)", "abstract": "This dataset collection contains datasets relating to the figures found in the Synthesis Report (SYR) of the IPCC Sixth Assessment Report (AR6).\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 2.4\r\n- data for Figure 2.5\r\n- data for Figure 3.2\r\n- data for Figure 3.3\r\n- data for Figure 3.4\r\n- data for Figure 3.5\r\n- data for Figure 3.6" } ], "responsiblepartyinfo_set": [ 164167, 164166, 164165, 164164, 164163, 164162, 164161, 164160 ], "onlineresource_set": [ 47544, 47545, 82824 ] }, { "ob_id": 34603, "uuid": "d1c2018e17d54df384fdbf562d2a9e8b", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.05 degree resolution, version 3.2", "abstract": "This dataset consists of monthly averaged total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. 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