Get a list of Observation objects.

### Available end points:

- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`

Filters can be stacked to build an 'AND' relationship. E.g.

- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`

GET /api/v2/observations/?format=api&offset=8300
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 10253,
    "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=8400",
    "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=8200",
    "results": [
        {
            "ob_id": 37410,
            "uuid": "18189d378d884d4c91fabdfcc343ed8e",
            "title": "FAAM C271 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
            "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C271 took place on 16th March 2022 in the Kiruna-Svalbard, Sweden region.",
            "keywords": "ACAO, FAAM, airborne, atmospheric measurments",
            "publicationState": "published",
            "dataPublishedTime": "2022-05-11T14:13:12",
            "doiPublishedTime": null,
            "updateFrequency": "asNeeded",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37409/?format=api",
                "dataPath": "/badc/faam/data/2022/c271-mar-11",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 6237869625,
                "numberOfFiles": 79,
                "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted."
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10330/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3476/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1370/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1371/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1372/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1373/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1374/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1375/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1376/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1377/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1378/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1379/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1380/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1381/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1382/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1383/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1384/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3220/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3221/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3222/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3223/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3224/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3225/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3226/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3227/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3228/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3229/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3230/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3231/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3232/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3233/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3257/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3262/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3263/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3264/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3266/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3267/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3268/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3269/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3272/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3273/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3285/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3287/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3288/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3289/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3290/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25772/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25773/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25777/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31707/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47310/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47311/?format=api",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.21 (v20220613)",
            "abstract": "Data for Figure 3.21 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 3.21 shows the seasonal evolution of observed and simulated Arctic and Antarctic sea ice area (SIA) over 1979-2017.\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 Eyring, 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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has several subplots, but they are unidentified, so the data is stored in the parent directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains Sea Ice Area anomalies over 1979-2017 relative to the 1979-2000 means from:\r\n \r\n - Observations (OSISAF, NASA Team, and Bootstrap)\r\n - Historical simulations from CMIP5 and CMIP6 multi-model means\r\n - Natural only simulations from CMIP5 and CMIP6 multi-model means\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - *_arctic_* files are used for the plots on the left side of the figure\r\n - *_antarctic_* files are used for the plots on the right side of the figure\r\n - *_OBS_NASATeam* files are used for the first row of the plot\r\n - *_OBS_Bootstrap* are used for the second row of the plot\r\n - *_OBS_OSISAF* are used for the third row of the plot\r\n - *_ALL_CMIP5* are used in the fourth row of the plot\r\n - *_ALL_CMIP6* are used in the fifth row of the plot\r\n - *_NAT_CMIP5* are used in the sixth row of the plot\r\n - *_NAT_CMIP6* are used in the seventh row of the plot\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The significance are for the grey dots, it's nan or 1 values. The data has to be overplotted to colored squares. Grey dots indicate multi-model mean anomalies stronger than inter-model spread (beyond ± 1 standard deviation).\r\n\r\n\r\nThe coordinates of the data are indices, but in global attributes 'comments' of each file there are relations of indices to months, since months are the y coordinate.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Sea Ice Area Anomalies, CMIP5, CMIP6",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.22 (v20220613)",
            "abstract": "Data for Figure 3.22 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 3.22 shows time series of Northern Hemisphere March-April mean snow cover extent (SCE) from observations, CMIP5 and CMIP6 simulations.\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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are technically two panels top and bottom (CMIP5 and CMIP6), however, the data is stored in the parent directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is for the Northern Hemisphere snow cover extent anomalies (SCEA) from models and observations:\r\n \r\n - The SCEA observational data from GLDAS-NOAH (1948-2012), Brown-NOAA (1923-2017), Mudryk et al 2020 (1968-2017)\r\n - The SCEA modelled by CMIP5 historical-rcp45 experiment (1923-2017)\r\n - The SCEA modelled by CMIP5 historicalNat experiment (1923-2012)\r\n - The SCEA modelled by CMIP6 historical-ssp245 experiment (1923-2017)\r\n - The SCEA modelled by CMIP6 hist-nat experiment (1923-2017)\r\n - The SCEA modelled by CMIP5 and CMIP6 piControl experiments\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n snow_cover_extent_cmip5_obs.csv is the data for the green and brown lines and shadings in the upper panel and grey lines (1923-2017)\r\n snow_cover_extent_cmip6_obs.csv is the data for the green and brown lines and shadings in the lower panel and grey lines (1923-2017)\r\n snow_cover_extent_piControl.csv for the blue error bars in the both panels\r\n Additional details of data provided in relation to figure in the file header (BADC-CSV file)\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\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.",
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            "abstract": "Data for Figure 3.20 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 3.20 shows means and trends in Arctic sea ice area (SIA) in September and Antarctic SIA in February for 1979-2017 from CMIP5 and CMIP6 models.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, 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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Technically figure has four panels, but they are not named so the data is stored in the parent directory. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Data is for September Arctic and February Antarctic Sea Ice Areas (SIAs) and their trends from models and observations:\r\n \r\n - SIAs from Bootstrap, NASA-Team and OSISAF (1979-2017)\r\n - SIAs from CMIP5 historical-rcp45 experiment (1979-2017)\r\n - SIAs from CMIP6 historical-ssp245 experiment (1979-2017)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - sia_point_nh_cmip5.csv has Arctic sea ice area means and decadal trends for September calculated from CMIP5 and observations from 1979-2017\r\n - sia_point_nh_cmip6.csv has Arctic sea ice area means and decadal trends for September calculated from CMIP6 and observations from 1979-2017\r\n - sia_point_sh_cmip5.csv has Antarctic sea ice area means and decadal trends for February calculated from CMIP5 and observations from 1979-2017\r\n - sia_point_sh_cmip6.csv has Antarctic sea ice area means and decadal trends for February calculated from CMIP6 and observations from 1979-2017\r\n\r\n Additional details of data provided in relation to figure in the files header (BADC-CSV files)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The black line which is shown in each panel is written in the comments.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Sea Ice Area, Sea Ice Area Trends, CMIP5, CMIP6",
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            "uuid": "a71383af93af4f58ae27d66ba15b3543",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.24 (v20220614)",
            "abstract": "Data for Figure 3.24 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 3.24 shows biases in zonal mean and equatorial sea surface temperature (SST) in CMIP5 and CMIP6 models.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels (a), (b), (c), with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains sea surface temperature (SST) data (1979-1999): \r\n \r\n - Modelled zonal mean SST biases from CMIP5\r\n - Modelled zonal mean SST biases from CMIP6\r\n - Modelled zonal mean SST biases from HighResMIP\r\n - Modelled equatorial SST biases from CMIP5\r\n - Modelled equatorial SST biases from CMIP6\r\n - Modelled equatorial SST biases from HighResMIP\r\n - Modelled mean equatorial SST from CMIP5\r\n - Modelled mean equatorial SST from CMIP6\r\n - Modelled mean equatorial SST from HighResMIP\r\n - Observed mean equatorial SST from HadISST v1\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/zonal_sst_bias.csv has zonal mean sea surface temperature bias over the period 1979-1999, there are data for blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble\r\n - panel_b/equatorial_sst_bias.csv  has equatorial mean sea surface temperature bias over the period 1979-1999, there are data for blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble\r\n - panel_c/equatorial_sst_means.csv  has equatorial mean sea surface temperature over the period 1979-1999, there are data for black (HadISSTv1),  blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble\r\n Details about the data provided in relation to the figure in the header of every file.\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For equatorial SSTs and equatorial SST biases, the data has longitude coordinate which goes 20 to 380 degrees. It was done with python package iris not to break the lines through Atlantic.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Equatorial Sea Surface Temperature, Zonal Sea Surface Temperature Biases, Equatorial Sea Surface Temperature Biases, CMIP5, CMIP6, HighResMIP, HadISST",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.25 (v20220614)",
            "abstract": "Data for Figure 3.25 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 3.25 shows CMIP6 potential temperature and salinity biases for the global ocean, Atlantic, Pacific and Indian Oceans.\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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are panels (a), (b), (c), (d), (e), (f), (g), (h). The data is in respective subdirectories.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains modelled and observational ocean data (1981-2010) for different ocean basins (global, Atlantic, Pacific, Indian): \r\n \r\n - Potential temperature from WOA18 observations\r\n - Salinity from WOA18 observations\r\n - Potential temperature bias (CMIP6 - WOA18)\r\n - Salinity bias (CMIP6 - WOA18)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a\r\n - panel_a/potential_temperature_bias_global_panel_a.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_a/WOA_potential_temperature_global_panel_a.nc: data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel b\r\n - panel_b/salinity_bias_global_panel_b.nc:  data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_b/WOA_salinity_global_panel_b.nc: data for black contours showing WOA18 salinity from 1981 to 2010\r\n \r\n Panel c\r\n - panel_c/potential_temperature_bias_atlantic_panel_c.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_c/WOA_potential_temperature_atlantic_panel_c.nc: data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel d\r\n - panel_d/salinity_bias_atlantic_panel_d.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_d/WOA_salinity_atlantic_panel_d.nc: data for black contours showing WOA18 salinity from 1981 to 2010\r\n \r\n Panel e\r\n - panel_e/potential_temperature_bias_pacific_panel_e.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_e/WOA_potential_temperature_pacific_panel_e.nc:  data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel f\r\n - panel_f/salinity_bias_pacific_panel_f.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_f/WOA_salinity_pacific_panel_f.nc:  data for black contours showing WOA18 salinity from 1981 to 2010\r\n \r\n Panel g\r\n - panel_g/potential_temperature_bias_indian_panel_g.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_g/WOA_potential_temperature_indian_panel_g.nc:  data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel h\r\n - panel_h/salinity_bias_indian_panel_h.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_h/WOA_salinity_indian_panel_h.nc:  data for black contours showing WOA18 salinity from 1981 to 2010\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.28 (v20220614)",
            "abstract": "Data for Figure 3.28 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 3.28 shows long-term trends in halosteric and thermosteric sea level in CMIP6 models and 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\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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has panels (a), (b), (c), (d), (e), (f), 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---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The datasets contains: \r\n \r\n - Atlantic and Pacific halosteric sea level trend from CMIP6 models (1950-2014)\r\n - Atlantic and Pacific halosteric sea level trend from Durack&Wijffels observations (1950-2019)\r\n - Atlantic and Pacific halosteric sea level trend from EN4 observations (1950-2019)\r\n - Atlantic and Pacific halosteric sea level trend from Ishii observations (1955-2019)\r\n - Atlantic and Pacific thermosteric sea level trend from CMIP6 models (1950-2014)\r\n - Atlantic and Pacific thermosteric sea level trend from Durack&Wijffels observations (1950-2019)\r\n - Atlantic and Pacific thermosteric sea level trend from EN4 observations (1950-2019)\r\n - Atlantic and Pacific thermosteric sea level trend from Ishii observations (1955-2019)\r\n - Global halosteric sea level trends from Durack&Wijffels observations (1950-2019)\r\n - Global halosteric sea level trends from EN4 observations (1950-2019)\r\n - Global halosteric sea level trends from Ishii observations (1955-2019)\r\n - Global halosteric sea level trends from CMIP6 multi-model mean (1950-2014)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/halosteric_trends_hist-nat.csv has data for green and black markers.\r\n - panel_a/halosteric_trends_historical.csv has data for orange and black markers.\r\n - panel_b/thermosteric_trends_hist-nat.csv has data for green and black markers.\r\n - panel_b/thermosteric_trends_historical.csv has data for orange and black markers.\r\n - panel_c/halosteric_trends_map_DW.nc has data for filled colored contours.\r\n - panel_d/halosteric_trends_map_EN4.nc has data for filled colored contours.\r\n - panel_e/halosteric_trends_map_Ishii.nc has data for filled colored contours.\r\n - panel_f/halosteric_trends_map_cmip6.nc has data for filled colored contours.\r\n For panels a and b details about the data provided in relation to the figure in the header of every file.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational data from here (top right panel) is taken from the file:\r\n\r\nDurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc. The field of interest are salinity_mean (shown as black contours) and salinity_change (shown in colourscale). The file was archived as input data for Figure 2.27. The link to this dataset is provided in the Related Documents section of this catalogue record.\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 input dataset for figure 3.28\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Halosteric Sea Level Trends, Thermosperic Sea Level Trends, observations, CMIP6, historical experiment, hist-nat experiment",
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        {
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            "uuid": "a3902bb4d1b543b39cc85380df8d1586",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.30 (v20220614)",
            "abstract": "Data for Figure 3.30 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 3.30 shows observed and CMIP6 simulated AMOC mean state, variability and long-term trends.\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 6 subpanels 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 - AMOC streamfunction profiles from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations\r\n - AMOC mean maximum overturning depth from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations\r\n - AMOC mean maximum overturning depth from RAPID observational dataset (2004-2018)\r\n - AMOC mean maximum overturning streamfunction from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations\r\n - AMOC mean maximum overturning streamfunction from RAPID observational dataset (2004-2018)\r\n - AMOC 8-year trends from CMIP5 and CMIP6 simulations and RAPID observations (2004-2012)\r\n - Interannual AMOC changes from CMIP5 and CMIP6 simulations and RAPID observations (2008-2010)\r\n - Longterm AMOC trends (1850-2014) from CMIP6 simulations\r\n - Longterm AMOC trends (1940-1985) from CMIP6 simulations\r\n - Longterm AMOC trends (1985-2014) from CMIP6 simulations\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/amoc_mean_state_boxes.csv has the data for the grey observations lines and blue and red boxes with whiskers\r\n - panel_a/amoc_profiles_shadings.csv has data for the blue and red profile shadings.\r\n - panel_a/amoc_profile_cmip5.csv has data for the blue profile\r\n - panel_a/amoc_profile_cmip6.csv has data for the red profile\r\n - panel_b/amoc_trends_2004_2012.csv has data for boxes and whiskers and outlier dots\r\n - panel_b/amoc_trends_cmip5_cmip6_additional_outliers.csv has data for additional outlier dots for CMIP5 and CMIP6\r\n - panel_c/interannual_variability_AMOC.csv has data for boxes and whiskers and outlier dots\r\n - panel_c/interannual_variability_AMOC_cmip5_cmip6_additional_outliers.csv has data for additional outlier dots for CMIP5 and CMIP6\r\n - panel_d/amoc_longtern_trend_1850_2014.csv has data for grey, green, blue and orange boxes and whiskers\r\n - panel_e/amoc_longtern_trend_1940_1985.csv has data for grey, green, blue and orange boxes and whiskers\r\n - panel_f/amoc_longtern_trend_1985_2014.csv has data for grey, green, blue and orange boxes and whiskers\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nAMOC is the Atlantic Meridional Overturning Circulation.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, AMOC trend, AMOC, CMIP6, CMIP5, RAPID",
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            "doiPublishedTime": "2023-02-08T19:17:44.666707",
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            "uuid": "ef5ca18bcaf441d9993f181a058016ba",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.35 (v20220614)",
            "abstract": "Data for Figure 3.35 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 3.35 shows Southern Annular Mode indices in the last millennium.  \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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, and all the data are provided in sam_millennium.nc.  \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual SAM reconstructions.\r\n - Annual-mean SAM index by CMIP5 and CMIP6 Last Millennium simulations extended by historical simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - sam_abram_runmean, sam_datwyler_runmean: thin blue and brown lines\r\n - sam_abram_lowpass, sam_datwyler_lowpass: thick blue and brown lines\r\n\r\nPanel b:\r\n - sam_cmip_runmean: thin lines\r\n . MIROC-ES2L: ensemble = 10 (violet)\r\n . MRI-ESM2-0: ensemble = 11 (green)\r\n . CMIP5: ensemble = 1, 2, 3, 4, 5, 6, 7, 8, 9 (grey)\r\n - sam_cmip_lowpass: thick lines\r\n . MIROC-ES2L: ensemble = 10 (violet)\r\n . MRI-ESM2-0: ensemble = 11 (green)\r\n . CMIP5: ensemble = 1, 2, 3, 4, 5, 6, 7, 8, 9 (grey)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, SAM, modes of variability, CMIP5, CMIP6, PMIP, last millennium",
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            "uuid": "02006a22c33b42039d96be53d332930a",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.39 (v20220614)",
            "abstract": "Data for Figure 3.39 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 3.39 shows the observed and simulated Pacific Decadal Variability (PDV).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels. Files are not separated according to the panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n pdv.obs.nc contains\r\n - Observed SST anomalies associated with the PDV pattern\r\n - Observed PDV index time series (unfiltered)\r\n - Observed PDV index time series (low-pass filtered)\r\n - Taylor statistics of the observed PDV patterns\r\n - Statistical significance of the observed SST anomalies associated with the PDV pattern\r\n \r\n pdv.hist.cmip6.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP6 historical simulations.\r\n \r\n pdv.hist.cmip5.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP5 historical simulations.\r\n \r\n pdv.piControl.cmip6.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP6 piControl simulations.\r\n \r\n pdv.piControl.cmip5.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP5 piControl simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - ipo_pattern_obs_ref in pdv.obs.nc: shading\r\n - ipo_pattern_obs_signif (dataset = 1) in pdv.obs.nc: cross markers\r\n \r\n Panel b:\r\n - Multimodel ensemble mean of ipo_model_pattern in pdv.hist.cmip6.nc: shading, with their sign agreement for hatching\r\n \r\n Panel c:\r\n - tay_stats (stat = 0, 1) in pdv.obs.nc: black dots\r\n - tay_stats (stat = 0, 1) in pdv.hist.cmip6.nc: red crosses, and their multimodel ensemble mean for the red dot\r\n - tay_stats (stat = 0, 1) in pdv.hist.cmip5.nc: blue crosses, and their multimodel ensemble mean for the blue dot\r\n \r\n Panel d:\r\n - Lag-1 autocorrelation of tpi in pdv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Lag-10 autocorrelation of tpi_lp in pdv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel e:\r\n - Standard deviation of tpi in pdv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Standard deviation of tpi_lp in pdv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel f:\r\n - tpi_lp in pdv.obs.nc: black curves\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - tpi_lp in pdv.hist.cmip6.nc: 5th-95th percentiles in red shading, multimodel ensemble mean and its 5-95% confidence interval for red curves\r\n - tpi_lp in pdv.hist.cmip5.nc: 5th-95th percentiles in blue shading, multimodel ensemble mean for blue curve\r\n\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSST stands for Sea Surface Temperature. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles of historical simulations of CMIP5 and CMIP6 are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.\r\n\r\n\r\npiControl simulations from CMIP5 and CMIP6 consist of a single member from each model, so the weighting is not applied.\r\n\r\n\r\nMultimodel ensemble means of the pattern correlation in Taylor statistics in (c) and the autocorrelation of the index in (d) are calculated via Fisher z-transformation and back transformation.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ENSO teleconnections",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.40 (v20220614)",
            "abstract": "Data for Figure 3.40 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 3.40 shows the observed and simulated Atlantic Multidecadal Variability (AMV).\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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels. Files are not separated according to the panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n amv.obs.nc contains\r\n - Observed SST anomalies associated with the AMV pattern\r\n - Observed AMV index time series (unfiltered)\r\n - Observed AMV index time series (low-pass filtered)\r\n - Taylor statistics of the observed AMV patterns\r\n \r\n amv.hist.cmip6.nc contains\r\n - Statistical significance of the observed SST anomalies associated with the AMV pattern\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n \r\n based on CMIP6 historical simulations.\r\n \r\n amv.hist.cmip5.nc contains\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n based on CMIP5 historical simulations.\r\n \r\n amv.piControl.cmip6.nc contains\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n based on CMIP6 piControl simulations.\r\n \r\n amv.piControl.cmip5.nc contains\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n based on CMIP5 piControl simulations.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - amv_pattern_obs_ref in amv.obs.nc: shading\r\n - amv_pattern_obs_signif (dataset = 1) in amv.obs.nc: cross markers\r\n \r\n Panel b:\r\n - Multimodel ensemble mean of amv_pattern in amv.hist.cmip6.nc: shading, with their sign agreement for hatching\r\n \r\n Panel c:\r\n - tay_stats (stat = 0, 1) in amv.obs.nc: black dots\r\n - tay_stats (stat = 0, 1) in amv.hist.cmip6.nc: red crosses, and their multimodel ensemble mean for the red dot\r\n - tay_stats (stat = 0, 1) in amv.hist.cmip5.nc: blue crosses, and their multimodel ensemble mean for the blue dot\r\n \r\n Panel d:\r\n - Lag-1 autocorrelation of amv_timeseries_raw in amv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Lag-10 autocorrelation of amv_timeseries in amv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel e:\r\n - Standard deviation of amv_timeseries_raw in amv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Standard deviation of amv_timeseries in amv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel f:\r\n - amv_timeseries in amv.obs.nc: black curves\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - amv_timeseries in amv.hist.cmip6.nc: 5th-95th percentiles in red shading, multimodel ensemble mean and its 5-95% confidence interval for red curves\r\n - amv_timeseries in amv.hist.cmip5.nc: 5th-95th percentiles in blue shading, multimodel ensemble mean for blue curve\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSST stands for Sea Surface Temperature.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles of historical simulations of CMIP5 and CMIP6 are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.\r\n\r\n\r\npiControl simulations from CMIP5 and CMIP6 consist of a single member from each model, so the weighting is not applied.\r\n\r\n\r\nMultimodel ensemble means of the pattern correlation in Taylor statistics in (c) and the autocorrelation of the index in (d) are calculated via Fisher z-transformation and back transformation. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Atlantic Multidecadal Variability, modes of variability, CMIP5, CMIP6",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 3.1,  Figure 1 (v20220615)",
            "abstract": "Data for Cross-Chapter Box 3.1,  Figure 1 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\nCross-Chapter Box 3.1, Figure 1 shows 15-year trends of surface global warming for 1998-2012 and 2012-2026.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panels a and b in a subdirectory named panel_ab, and for panels c and d in subdirectories named panel_c and panel_d respectively.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n \r\n - Observed and modelled global annual mean surface temperature and surface air temperature trends for 1998-2012\r\n - Modelled global annual mean surface air temperature trends for 2012-2026\r\n - Observed annual mean surface temperature trends for 1998-2012\r\n - Composite of modelled annual mean surface air temperature trends for 1998-2012\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - gmst_trend_1998-2012 in panel_ab/GMST_trend.csv; HadCRUT5 for histogram, ensemble mean of HadCRUT5 and other observations for open triangles at the top, and multimodel ensemble means of CMIP5 and CMIP6 for open diamonds at the top\r\n - gsat_trend_1998-2012 in panel_ab/GSAT_trend.csv; CMIP5 and CMIP6 ensembles for histograms, ERA5 for the top filled triangle, and multimodel ensemble means of CMIP5 and CMIP6 for filled diamonds at the top\r\n \r\n Panel b:\r\n - gmst_trend_2012-2026 in panel_ab/GMST_trend.csv; multimodel ensemble means of CMIP5 and CMIP6 for open diamonds at the top\r\n - gsat_trend_2012-2026 in panel_ab/GSAT_trend.csv; CMIP5 and CMIP6 ensembles for histograms, and multimodel ensemble means of CMIP5 and CMIP6 for filled diamonds at the top\r\n \r\n Panel c:\r\n - tas in panel_c/TrendPattern_HadCRUT5_mean.nc; shading, with the sig attribute for cross markers\r\n \r\n Panel d:\r\n - tas in panel_d/TrendPattern_composite.nc: shading\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nHadCRUT5 is a gridded dataset of global historical near-surface air temperature anomalies since the year 1850.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and histograms are calculated after weighting each ensemble member with the inverse of the ensemble size of the same model.\r\n\r\nThe values for panels c and d are stored with the K/year unit but scaled to the K/decade, therefore they need to be multiplied by a factor of 10 in order to be consistent with the plotted values.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, global near-surface air temperature changes, decadal variability, hiatus, warming slowdown, CMIP5, CMIP6",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 3.2,  Figure 1 (v20220615)",
            "abstract": "Data for Cross-Chapter Box 3.2,  Figure 1 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\nCross-Chapter Box 3.2, Figure 1 shows a comparison of observed and simulated changes in global mean temperature and precipitation extremes. \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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Technically the figure has four panels, but since they are not marked all the data is in the parent directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations)\r\n - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcings simulations)\r\n - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017  relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcing only simulations)\r\n - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - txx_anomalies_timeseries_historical.csv has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies (top left panel)\r\n - txx_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies  (bottom left panel)\r\n - rx1day_anomalies_timeseries_historical has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies   (top right panel)\r\n - rx1day_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies  (bottom right panel)\r\n\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparion Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nHadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, TXx, rx1day, anomalies, CMIP5, CMIP6, HadEX3, extreme events",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.1, Figure 1 (v20220615)",
            "abstract": "Data for FAQ 3.1, Figure 1 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\nFAQ 3.1 Figure 1 shows that observed warming (1850-2018) is only reproduced in simulations including human influence.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\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---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains global surface temperature changes timeseries relative to 1850-1900 for 1850-2019 from:\r\n \r\n - CMIP6 historical+ssp245 simulations (simulations with human and natural forcing)\r\n - CMIP6 hist-GHG simulations (simulations with anthropogenic green house gases forcing)\r\n - CMIP6 hist-aer simulations (simulation with anthropogenic aerosol forcing)\r\n - CMIP6 hist-nat simulations (simulation with natural forcing only)\r\n - Observations from Chapter 2\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n gmst_anomalies_timeseries.csv. Global surface temperature changes timeseries relative to 1850-1900 for 1850-2019 from:\r\n \r\n - CMIP6 historical+ssp245 simulations (1850-2019) [mean, grey line]\r\n - CMIP6 historical+ssp245 simulations (1850-2019) [5% range, grey shading, bottom]\r\n - CMIP6 historical+ssp245 simulations (1850-2019) [95% range, grey shading, top]\r\n - CMIP6 hist-GHG simulations (1850-2019) [mean, red line]\r\n - CMIP6 hist-GHG simulations (1850-2019) [5% range, red shading, bottom]\r\n - CMIP6 hist-GHG simulations (1850-2019) [95% range, red shading, top]\r\n - CMIP6 hist-aer simulations (1850-2019) [mean, blue line]\r\n - CMIP6 hist-aer simulations (1850-2019) [5% range, blue shading, bottom]\r\n - CMIP6 hist-aer simulations (1850-2019) [95% range, blue shading, top]\r\n - CMIP6 hist-nat simulations (1850-2019) [mean, green line]\r\n - CMIP6 hist-nat simulations (1850-2019) [5% range, green shading, bottom]\r\n - CMIP6 hist-nat simulations (1850-2019) [95% range, green shading, top]\r\n - Observations from Chapter 2 (1850-2019) [black line]\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, global temperature, radiative forcing, attribution of climate change",
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            "uuid": "f148031d13954c85b873900cd3f47170",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.2, Figure 1 (v20220615)",
            "abstract": "Data for FAQ 3.2, Figure 1 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\nFAQ 3.2, Figure 1 shows annual, decadal and multi-decadal variations in average global surface temperature. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure technically has three panels, but they are not labelled. So the datasets are stored just in the main figure folder. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Dataset contains modelled GSAT anomalies from MPI-ESM grand ensemble (1950-2019):\r\n \r\n - On annual scale\r\n - On decadal scale\r\n - On multi-decadal scale\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - annual_gsat_anomalies_mpi_esm_grand_ens.csv has data for the left panel, GSAT anomalies from 1950 to 2019 from MPI-ESM grand ensemble (black, light green, light marsh green, light dark green lines)\r\n - decadal_gsat_anomalies_mpi_esm_grand_ens.csv  has data for the middle panel, GSAT anomalies from 1950 to 2019 from MPI-ESM grand ensemble  (black, light green, light marsh green, light dark green lines)\r\n - multi_decadal_gsat_anomalies_mpi_esm_grand_ens.csv has data for the right panel, GSAT anomalies from 1950 to 2019 from MPI-ESM grand ensemble  (black, light green, light marsh green, light dark green lines)\r\n\r\n\r\nGSAT stands for Global Surface Air Temperature.\r\nMPI-ESM is a comprehensive Earth-System Model, consisting of component models for the ocean, the atmosphere and the land surface.\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 figure on the IPCC AR6 website\r\n - Link to the GitHub repo with code for the figure",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Annual variations, decadal variations, multi-decadal variations, GSAT, natural variability, global surface air temperature",
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            "uuid": "afe80eb32a1c4164a3b84396c6d7a5d6",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.3, Figure 1 (v20220615)",
            "abstract": "Data for FAQ 3.3, Figure 1 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\nFAQ 3.3 Figure 1 shows pattern correlations between models and observations for three different variables: surface air temperature, precipitation and sea level pressure. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains all correlation pattern values displayed in the figure.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_FAQ_3_3.nc:\r\n \r\n - variable: 'cor' with two dimensions:\r\n . 'vars': variables on the x-axis (same order as in the figure)\r\n . 'models': name of each models (the attribute 'project' contains mapping to 'CMIP3', 'CMIP5' or 'CMIP6')\r\n\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nVar 'cor' contains the values. Coordinate 'var' is the x-axis. Coordinate 'models' is the y-axis. The attribute 'project' of the coordinate 'models' contains as string chain the mapping to CMIP3 (cyan), CMIP5 (blue) and CMIP6 (red). The multi-model mean is not part of the dataset.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, pattern correlation",
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            "uuid": "758419765d0f4926aa70002ec6c856b0",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.38 (v20220614)",
            "abstract": "Data for Figure 3.38 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 3.38 shows model evaluation of ENSO teleconnection for 2m-temperature and precipitation in boreal winter (December-January-February).\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 Eyring, 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---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Data provided for all panels in one single directory\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global patterns for:\r\n \r\n - temperature from the Berkeley Earth dataset over land \r\n - temperature from ERSSTv5 over ocean\r\n - precipitation from GPCC over land (shading, mm day–1)\r\n - precipitation from GPCP worldwide (contours, period: 1979-2014)\r\n \r\n and distributions of regression coefficients in IPCC regions for:\r\n - temperature\r\n - precipitation\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n maps:\r\n \r\n - reg_tas_NINO34_BEST_ERSSTv5_1901_2018_DJF.nc (var = 'rc', upper map over land)\r\n - reg_sst_NINO34_ERSSTv5_ERSSTv5_1901_2018_DJF.nc (var = 'rc', upper map over ocean)\r\n - reg_precip_NINO34_GPCP_ERSST5_1979_2018_DJF.nc (var = 'rc', lower map, contours)\r\n - reg_pr_NINO34_GPCC_ERSSTv5_1901_2016_DJF.nc (var = 'rc', lower map, shading)\r\n \r\n histograms:\r\n - tas_enso_regression_pdf_v4_no_cosweight_DJF.nc\r\n . upper grey histograms: var = 'region_pdfx_hist' and 'region_pdfy_hist'\r\n . MME (black line): var = 'region_ave_hist'\r\n . Observations (blue lines): var = 'region_obs'\r\n - tas_amip_hist_enso_regression_pdf_v4_no_cosweight_DJF.nc (orange dashed line): var = 'region_ave_amip_hist'\r\n \r\n => Fields correspond to regions numbers with labels in the plot, namely for temperature: 'EAU/RFE/RAR/NWN/NCA/ENA/NSA/MED/NWS/ESAF' (see variable region_info with attributes making the association between the region index and the acronym/name). \r\n - pr_enso_regression_pdf_v4_no_cosweight_DJF.nc\r\n . lower grey histograms: var = 'region_pdfx_hist' and 'region_pdfy_hist'\r\n . MME (black line): var = 'region_ave_hist'\r\n . Observations (blue lines): var = 'region_obs'\r\n - pr_amip_hist_enso_regression_pdf_v4_no_cosweight_DJF.nc (orange dahsed line): var = 'region_ave_amip_hist'\r\n \r\n => Fields correspond to regions numbers with labels in the plot, namely for precipitation: 'EAS/SEA/EAU/WNA/NCA/SES/NSA/ESAF/SEAF/MED' (see variable info_region with attributes making the association between the region index and the acronym/name).\r\n\r\n\r\nENSO is the El Niño Southern Oscillation. \r\nGPCC is the Global Precipitation Climatology Centre. \r\nGPCP is the Global Precipitation Climatology Project.\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Data provided in reg_pr_NINO34_GPCC_ERSSTv5_1901_2016_DJF.nc are in mm/month. Values should be divided by 30 for plotting in mm/day.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 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 figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ENSO teleconnections",
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            "uuid": "85168e39bfff444ba02bf55e7682f73d",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.26 (v20220616)",
            "abstract": "Data for Figure 3.26 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 3.26 shows global ocean heat content in CMIP6 simulations and observations.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, 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 Technically the figure has 4 panels, but they are not named, so the datasets are stored in the parent directory. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains simulated and observed ocean heat content timeseries:\r\n \r\n - from CMIP6 models at full depth (1850-2014)\r\n - from observations at full depth (1971-2018)\r\n - from CMIP6 models at 0-700 m (1850-2014)\r\n - from observations at 700-200 m (1971-2018)\r\n - from CMIP6 models at 700-200 m (1850-2014)\r\n - from observations at 700-200 m (1971-2018)\r\n - from CMIP6 models at deeper than 2000 m (1850-2014)\r\n - from observations at deeper than 2000 m (1992-2018)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - ocean_heat_content_anomalies_full_depth.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1971 to 2018\r\n - ocean_heat_content_anomalies_0_700_m.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1971 to 2018\r\n - ocean_heat_content_anomalies_700_2000_m.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1971 to 2018\r\n - ocean_heat_content_anomalies_over_2000_m.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1992 to 2018\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational data for this figure is taken from the file 'AR6_FGD_assessment_timeseries_OHC.csv' from Cross-Chapter Box1 figure 1, Chapter 9. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to dataset for figure CCB1 Chapter 9\r\n - Link to the figure on the IPCC AR6 website",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.44 (v20220615)",
            "abstract": "Data for Figure 3.44 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 3.44 shows multivariate synopsis of paleoclimate model results compared to observational references. \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 Figure has three rows (a), (b) and (c). The data is on the DMS in the panel_a, panel_b, panel_c subdirectories. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - GSAT anomalies in MidHolocene from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Bertlein et al. (2011) reconstructions\r\n - GSAT anomalies in LIG, LGM and EECO from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Tierney et al. (2020) reconstructions\r\n - Regional Mean Temperature of the Warmest month, Mean Annual Precipitation and Mean Temperature of the Coldest month from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Bertlein et al. (2011) reconstructions\r\n - Regional Mean Temperature of the Warmest month, Mean Annual Precipitation and Mean Temperature of the Coldest month from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Tierney et al. (2020)  reconstructions\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/gmst_anomalies_paleo_climate.csv has data for all the markers in all subpanels in panel a\r\n panel_a/gmst_anomalies_paleo_climate_reconstructions.csv: relates to the pale orange (navajowhite) shading in panel (a), column 2 contains the bottom values, column 3 are the top values.\r\n panel_b/temperature_and_precipitation_paleo_midHolocene.csv has data for all the markers in all subpanels in panel b\r\n panel_c/temperature_and_precipitation_paleo_lastGlacialMaximum.csv has data for all markers in all subpanels in panel c\r\n\r\nGSAT stands for Global Surface Air Temperature.\r\nCMIP6 is the sixth stage of the Coupled Model Intercomparison Project. \r\nPMIP3 is the Paleoclimate Modelling Intercomparison Project phase 3.\r\nPMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4.\r\nLIG stands for Last Interglacial.\r\nLGM stands for the Last Glacial Maximum.\r\nEECO stands for Early Eocene Climatic Optimum.\r\n\r\n ---------------------------------------------------\r\n Temporal Range of Paleoclimate Data\r\n ---------------------------------------------------\r\n This dataset also covers a paleoclimate timespan from 55000000-5000 years BP (55000000-5000 years before present). \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The last column in each file is the color and/or shape of the marker.\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 figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Paleo Climates, global mean surface temperature, Last Glacial Maximum, Last Interglacial, MidHolocene, Temperature and Precipitation paleoclimate data",
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            "title": "Cloud droplet number concentration, calculated from the MODIS (Moderate resolution imaging spectroradiometer) cloud optical properties retrieval and gridded using different sampling strategies",
            "abstract": "This dataset contains cloud droplet number concentrations (CDNC), gridded to 1 by 1 degree resolution using a variety of sampling methods to select valid retrievals. Data from the MODIS (Moderate resolution imaging spectroradiometer) instruments on both the Terra (morning overpass) and Aqua (Afternoon overpass) satellites are available (indicated by a T or A in the filename). This product is gridded using the MODIS collection 6 definition of a day.  These sampling methods have been compared against multiple flight campaigns, see Gryspeerdt et al., The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data. Atmos. Meas. Tech. 2022.\"\r\n\r\nErrata: The latitude values in these files are currently inverted, resulting in the data in the files appearing 'upside-down'. As a work-around, the data arrays can be reversed along the latitude axis. Corrected versions of the files will be uploaded shortly.'",
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            "uuid": "ceae289f1a56414ea708f43db83fc2c6",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.27 (v20220616)",
            "abstract": "Data for Figure 3.27 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 3.27 shows maps of multi-decadal salinity trends for the near-surface ocean.\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 Eyring, 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 Technically there are two panels, they are named in the datasets as top and bottom, but the data is stored in the parent directory. Data provided for bottom panel.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n ​​​​​​The dataset contains salinity data:\r\n \r\n - climatological mean from CMIP6 models (1950-2014)\r\n - simulated trend from CMIP6 models (1950-2014)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - ocean_salinity_cmip6.nc: climatological salinity (1950-2014) from CMIP6 models (black contours) in a bottom panel\r\n - ocean_salinity_trends_cmip6.nc: salinity trends (1950-2014) from CMIP6 models (colored shades) in a bottom panel\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational data from here (top panel) is taken from the file:\r\n\r\nDurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc. The field of interest are salinity_mean (shown as black contours) and salinity_change (shown in colourscale). The file was archived as input data for Figure 2.27. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to input data figure 2.27\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Climatological Salinity, Salinity Trends, CMIP6, Observations, Near-Surface Ocean",
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            "uuid": "a8915aca7806434984baab86835a1b18",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.29 (v20220616)",
            "abstract": "Data for Figure 3.29 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 3.29 shows simulated and observed global mean sea level change due to thermal expansion for CMIP6 models and observations relative to the baseline period 1850-1900. \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 List of data provided\r\n ---------------------------------------------------\r\n The dataset has contains timeseries for:\r\n \r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with anthropogenic and natural forcings (historical experiment)\r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with natural forcings only (hist-nat experiment)\r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with anthropogenic greenhouse gases forcings only (hist-GHG experiment)\r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with anthropogenic aerosol forcings only (hist-aer experiment)\r\n - observed thermosteric sea level change anomalies from 1971-2018\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - global_mean_sea_level_anomalies.csv relates to brown, green, blue grey and black lines and shadings (1850-2019)\r\n Additional information about data provided in relation to figure in the file header.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational datasets are the ones used in Chapter 2 and Chapter 9 CCB1 ('AR6_FGD_assessment_timeseries_ThSL.csv'). The link to this dataset is provided in the Related Documents section of this catalogue record.\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 dataset for figure CCB1 Chapter 9\r\n - Link to input data figure 2.27\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Thermosteric sea level change, CMIP6, observations, attribution",
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            "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).",
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            "ob_id": 37581,
            "uuid": "8af00e7bba784c1cbf4c16fef984aeb6",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.36 (v20220620)",
            "abstract": "Data for Figure 3.36 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 3.36 shows observed and simulated life cycle of El Niño and La Niña events.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels. All the data are provided in enso_lifecycle.nc file.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Composite time series of the ENSO index for El Niño events\r\n - Composite time series of the ENSO index for La Niña events\r\n - Mean duration of El Niño events\r\n - Mean duration of La Niña events\r\n\r\nin observations, CMIP5 historical-RCP4.5 and and CMIP6 historical simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - ts_elnino_obs; black curves\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - ts_elnino_cmip5: The ENSO index time series in each ensemble member of CMIP5 models; blue curve and shading\r\n - ts_elnino_cmip6: The ENSO index time series in each ensemble member of CMIP6 models; red curve and shading\r\n \r\n Panel b:\r\n - ts_lanina_obs; black curves\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - ts_lanina_cmip5: The ENSO index time series in each ensemble member of CMIP5 models; blue curve and shading\r\n - ts_lanina_cmip6: The ENSO index time series in each ensemble member of CMIP6 models; red curve and shading\r\n \r\n Panel c:\r\n - duration_elnino_obs; black vertical lines and numbers in the top right box\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - duration_elnino_cmip5: El Nino duration in each ensemble member of CMIP5 models; blue box-whisker and number in the top right box\r\n - duration_elnino_cmip6; El Nino duration in each ensemble member of CMIP6 models; red dots, red box-whisker and number in the top right box\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 -  444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n \r\n Panel d:\r\n - duration_lanina_obs; black vertical lines and numbers in the top right box\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - duration_lanina_cmip5; La Nina duration in each ensemble member of CMIP5 models; blue box-whisker and number in the top right box\r\n - duration_lanina_cmip6; La Nina duration in each ensemble member of CMIP6 models; red dots, red box-whisker and number in the top right box\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 -  444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n\r\n\r\nAcronyms: ENSO - El Niño–Southern Oscillation, CMIP - Coupled Model Intercomparison Project, RCP - Representative Concentration Pathway, ERSST - Extended Reconstructed Sea Surface Temperature, HadISST - Hadley Centre Sea Ice and Sea Surface Temperature, ACCESS- CM2 – Australian Community Climate and Earth System Simulator coupled climate model, ACCESS- ESM – Australian Community Climate and Earth System Simulator Earth system model, AWI - Alfred Wegener Institute, BCC-CSM - Beijing Climate Center Climate System Model, CAMS - Chinese Academy of Meteorological Sciences, CanOE - Canadian Ocean Ecosystem, CESM2 - Community Earth System Model, WACCM - Whole Atmosphere Community Climate Model, CIESM - Community Integrated Earth System Model, CNCC - Centro Euro-Mediterraneo per I Cambiamenti Climatici, CNRM - Centre National de Recherches Météorologiques, E3SM - Energy Exascale Earth System Model, FGOALS - Flexible Global Ocean-Atmosphere-Land System Model, FIO-ESM - First Institute of Oceanography Earth System Model, GFDL - Geophysical Fluid Dynamics Laboratory, GISS - Goddard Institute for Space Studies, IITM - Indian Institute of Tropical Meteorology, INM - Institute for Numerical Mathematics, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, MIROC - Model for Interdisciplinary Research on Climate, MPI - Max-Planck-Institut für Meteorologie, NESM - Nanjing University of Information Science and Technology Earth System Model, NorCPM - Norwegian Climate Prediction Model, SAM0-UNICON - Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme (SAM0-UNICON), TaiESM1 - Taiwan Earth System Model version 1, UKESM - The UK Earth System Modelling project.\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is provided as the weight attribute of ens_cmip5 and ens_cmip6.\r\nIf X(i) is the array, and w(i) the corresponding weight.\r\n\r\n\r\n- Mean shoud be sum_i(X(i) * w(i)) / sum_i(w(i))\r\n\r\n- For percentile values, \r\n\r\n1. Sort X and w so that X is in the ascending order\r\n\r\n2. 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\r\n3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ENSO, modes of variability, life cycle, CMIP5, CMIP6",
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            "dataPublishedTime": "2022-06-27T11:33:16",
            "doiPublishedTime": "2023-02-08T19:25:36.242094",
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            "uuid": "babcd0de678e4d10aef395f1a265da03",
            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.37 (v20220620)",
            "abstract": "Data for Figure 3.37 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 3.37 shows observed and simulated seasonality of ENSO.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels. All the data are provided in enso_seasonality.nc.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Climatological standard deviation of the ENSO index\r\n - A seasonality metric of the ENSO index\r\n \r\n in observations, CMIP5 historical-RCP4.5 and CMIP6 historical simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - stdv_enso_obs; black curves\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - stdv_enso_cmip5: Climatological standard deviation of the ENSO index time series in each ensemble member of CMIP5 models blue curve and shading\r\n - stdv_enso_cmip6: Climatological standard deviation of the ENSO index time series in each ensemble member of CMIP6 models; red curve and shading\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 -  444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n \r\n Panel b:\r\n - seasonality_enso_obs; black vertical lines and numbers in the top right box\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - seasonality_enso_cmip5; Seasonality metric in each ensemble member of CMIP5 models; blue box-whisker and number in the top right box\r\n - seasonality_enso_cmip6; Seasonality metric in each ensemble member of CMIP6 models; red dots, with their multimodal ensemble mean and percentiles for the red box-whisker and number in the top right box\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 -  444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n\r\n\r\nAcronyms - ENSO - El Niño–Southern Oscillation, CMIP - Coupled Model Intercomparison Project, RCP - Representative Concentration Pathway, ERSST - Extended Reconstructed Sea Surface Temperature, HadISST - Hadley Centre Sea Ice and Sea Surface Temperature, ACCESS- CM2 – Australian Community Climate and Earth System Simulator coupled climate model, ACCESS- ESM – Australian Community Climate and Earth System Simulator Earth system model, AWI - Alfred Wegener Institute, BCC-CSM - Beijing Climate Center Climate System Model, CAMS - Chinese Academy of Meteorological Sciences, CanOE - Canadian Ocean Ecosystem, CESM2 - Community Earth System Model, WACCM - Whole Atmosphere Community Climate Model, CIESM - Community Integrated Earth System Model, CNCC - Centro Euro-Mediterraneo per I Cambiamenti Climatici, CNRM - Centre National de Recherches Météorologiques, E3SM - Energy Exascale Earth System Model, FGOALS - Flexible Global Ocean-Atmosphere-Land System Model, FIO-ESM - First Institute of Oceanography Earth System Model, GFDL - Geophysical Fluid Dynamics Laboratory, GISS - Goddard Institute for Space Studies, IITM - Indian Institute of Tropical Meteorology, INM - Institute for Numerical Mathematics, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, MIROC - Model for Interdisciplinary Research on Climate, MPI - Max-Planck-Institut für Meteorologie, NESM - Nanjing University of Information Science and Technology Earth System Model, NorCPM - Norwegian Climate Prediction Model, SAM0-UNICON - Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme (SAM0-UNICON), TaiESM1 - Taiwan Earth System Model version 1, UKESM - The UK Earth System Modelling project.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is provided as the weight attribute of ens_cmip5 and ens_cmip6.\r\n \r\n If X(i) is the array, and w(i) the corresponding weight.\r\n\r\n- Mean shoud be sum_i(X(i) * w(i)) / sum_i(w(i))\r\n\r\n- For percentile values, \r\n\r\n1. Sort X and w so that X is in the ascending order\r\n\r\n2. 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\r\n3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ENSO, modes of variability, seasonality, CMIP5, CMIP6",
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            "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument A deployed at Amsterdam Ap Schiphol, Netherlands",
            "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Amsterdam Ap Schiphol, Netherlands.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06240.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. Note: this WIGOS ID is shared by 4 instruments located at the site. Data from the 4 instruments use one shared value for latitude and longitude:\r\n\r\nLatitude: 52.317008972168 N\r\nLongitude: 4.80366992950439 E\r\n \r\nThe actual instrument deployments are as follows:\r\n\r\nInstrument: Amsterdam AP Schiphol A\r\nLatitude: 52.317010 N\r\nLongitude: 4.803670 E\r\nAltitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 27\r\n\r\nInstrument: Amsterdam AP Schiphol B\r\nLatitude: 52.286140 N\r\nLongitude: 4.729310 E\r\n-Altitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 06\r\n \r\nInstrument: Amsterdam AP Schiphol C\r\nLatitude: 52.368290 N\r\nLongitude: 4.712660 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18R\r\n \r\nInstrument: Amsterdam AP Schiphol D\r\nLatitude: 52.3395500183105 N\r\nLongitude: 4.7407398223877 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18C \r\n    \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.",
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            "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Ljungby, Sweden.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02622. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n    \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.",
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            "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.11 (v20220620)",
            "abstract": "Data for Figure 3.11 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 3.11 shows a comparison between simulated annual precipitation changes and pollen-based reconstructions at the mid-Holocene (6,000 years ago).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - area-averaged precipitation changes over five regions (Northern Europe, Western and Central Europe, Mediterranean, Sahara/Sahel, West Africa) as simulated by CMIP6 models\r\n - area-averaged precipitation changes over five regions (Northern Europe, Western and Central Europe, Mediterranean, Sahara/Sahel, West Africa) as simulated by CMIP5 models.\r\n - pollen-based MAP reconstructions points within the region (Northern Europe, Western and Central Europe, Mediterranean, Sahara/Sahel, West Africa)\r\n\r\n\r\nThese data are also available from a pre-existing GitHub repository which can be found under 'Sources of additional information' and the related documents.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n map_midHolocene_reconstructions.csv shows the data for bars in each region in the figure.\r\n map_midHolocene_models.csv shows the data for the multicolored circles in each region in the figure. The colors represent different models.\r\n Additional data about data provided in relation to figure can be found in the files headers.\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan, starting and ending at 6000 years ago. \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 external GitHub repository also containing the figure data.\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Precipitation changes, pollen-based reconstructions, Mid-Holocene",
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            "uuid": "85409987ce6a4976b0845b512baa2843",
            "title": "Chapter 5 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 5.33 (v20220623)",
            "abstract": "Data for Figure 5.33 from Chapter 5 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 5.33 shows carbon sink response in a scenario with net carbon dioxide (CO2) removal from the atmosphere. \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\nCanadell, J.G., P.M.S. Monteiro, M.H. Costa, L. Cotrim da Cunha, P.M. Cox, A.V. Eliseev, S. Henson, M. Ishii, S. Jaccard, C. Koven, A. Lohila, P.K. Patra, S. Piao, J. Rogelj, S. Syampungani, S. Zaehle, and K. Zickfeld, 2021: Global Carbon and other Biogeochemical Cycles and Feedbacks. 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. 673–816, doi:10.1017/9781009157896.007.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains data for 50-year periods during 2000-2300 for:\r\n \r\n - Atmospheric CO2 concentration\r\n - Net CO2 emissions (accumulated over 50 year periods)\r\n - Net land flux (accumulated over 50 year periods)\r\n - Net ocean flux (accumulated over 50 year periods)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file: Data_Figure_5_33.csv:\r\n \r\n - row 1: x-axis values.\r\n - row 2: light blue bars.\r\n - row 3: orange bars.\r\n - row 4: green bars.\r\n - row 5: blue bars\r\n - row 6: relates with the values written in black over the corresponding arrows (row 2 values plus values written in black)\r\n - row 7: Standard deviation over orange bars.\r\n - row 8: Standard deviation over green bars.\r\n - row 9: Standard deviation over blue bars.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n This figure was created in Excel and the error bars (standard deviation) were added in Adobe \r\n  Illustrator.\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 5)\r\n - Link to the Supplementary Material for Chapter 5, which contains details on the input data used in Table 5.SM.6",
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            "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 1st January 2009 and ends on 31st December 2020. \r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.",
            "keywords": "land surface temperature, ESA, CCI",
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            "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - input data for Figure 2.29 (v20220624)",
            "abstract": "Input data for Figure 2.29 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 2.29 shows the surface ocean pH evolution over time from the last 65 million years onwards up to modern times.  \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 four panels, with input data provided for panel d Ocean-SODA (the remaining datasets used for this figure are publicly available and reference is provided in Supplementary Material for chapter 2, Table 2.SM.1) \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global mean surface ocean pH from 1981-2018 for reconstructed global ocean acidification change.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel d (time series plot)\r\n \r\n - Data file: SODA_pH.txt (yearly data, 1981-2018); relates to purple line\r\n\r\nSODA stands for Satellite Oceanographic Datasets for Acidification.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Use program Chapter2_Fig.29_code_in_R to reproduce the figure (programming in R). \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\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Ocean acidification, ocean pH levels",
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            "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 11.1, figure 1 (v20220629)",
            "abstract": "Data for FAQ 11.1 , figure 1 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFAQ 11.1, figure 1 shows global maps of future changes in surface temperature and precipitation for long-term average and extreme conditions.\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 Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Summer mean temperature (days) change (relative to 1850-1900)\r\n - Annual maximum temperature (°C) change (relative to 1850-1900)\r\n - Summer mean precipitatioin (%) change (relative to 1850-1900)\r\n - Annual maximum daily precipitation (%) change (relative to 1850-1900)\r\n\r\n The data is given at a global warming levels (GWL) of +4.0°C.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - FAQ_11_1_Figure_1a_cmip6_summer_temperature_change_at_4_0C.nc: simulated summer mean temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - FAQ_11_1_Figure_1b_cmip6_TXx_change_at_4_0C.nc: simulated annual maximum temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - FAQ_11_1_Figure_1c_cmip6_summer_prec_change_at_4_0C.nc: simulated summer mean precipitation change (%) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel d:\r\n - FAQ_11_1_Figure_1d_cmip6_Rx1day_change_at_4_0C.nc: simulated annual maximum daily precipitation change (%) at 4.0°C global warming relative to 1850-1900\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, FAQ 11.1 Figuer 1, global warming level, temperature, precipitation, annual maximum temperature, annual maximum daily precipitation, TXx, Rx1day projection, cmip6, long-term average, extreme conditions, summer",
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            "uuid": "592748a417ab4efca4eb98e22c9dbec4",
            "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.3 (v20220629)",
            "abstract": "Data for Figure 11.3 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 11.3 shows regional mean changes in annual hottest daily maximum temperature (TXx) for AR6 land regions and the global land, against changes in global mean surface air temperature (GSAT) as simulated by CMIP6 models under different forcing scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5\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 Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual maximum temperature change (°C) as a function of global warming levels (GWLs) relative to 1850-1900 for the IPCC climate reference regions (Iturbide et al., 2020)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Figure_11_3_cmip6_TXx_scaling.nc: data for panels (a) through (l)\r\n\r\nSSP stands for Shared Socioeconomic Pathway and RCP stands for Representative Concentration Pathway.\r\nSSP1-1.9 and SSP1-2.6 are based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges. SSP1-1.9 is based on RCP1.9, a future pathway with a radiative forcing of 1.9 W/m2 in the year 2100 and SSP1-2.6 is based on RPC2.6.\r\nSSP2-4.5 is based on Shared Socioeconomic Pathway SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP3-7.0 is based on SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel (a): shows the individual ensemble members and the median of three SSPs. Other panels show the multi model median (over the 'mod_ens' dimension). The regions 'global',  'ocean', 'land', 'GIC', 'EAN', and 'WAN' are not shown in the figure.\r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe following weblinks are provided in the Related Documents section of this catalogue record:\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (Chapter 11)\r\n- Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n- Link to the code for the figure, archived on Zenodo\r\n- Link to the Ch11 GitHub repository containing scripts for generating figures",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 11, Figure 11.11, global warming level, annual maximum temperature, TXx, scaling, projection, cmip6",
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            "uuid": "7be388b022e74926b0103125d22e6b06",
            "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.19 (v20230203)",
            "abstract": "Data for Figure 11.19 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 11.19 shows projected changes in the number of consecutive dry days (CDD), annual mean soil moisture over the total column, and the frequency and intensity of one-in-ten year soil moisture (SM) drought for the June-to-August and December-to-February seasons at 1.5°C, 2°C, and 4°C of global warming compared to the 1851-1900 baseline.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Annual consecutive dry days change (days) (relative to 1850-1900)\r\n - Annual total column soil moisture (std) (relative to 1850-1900)\r\n - July-to-August frequency of 1-in-10 year soil moisture drought change (-) (relative to 1850-1900)\r\n - December-to-February frequency of 1-in-10 year soil moisture drought change (-) (relative to 1850-1900)\r\n\r\n\r\nThe data is given for global warming levels (GWLs), namely +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Figure_11_19a_cmip6_CDD_change_at_1_5C.nc: simulated consecutive dry days change (days) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - Figure_11_19b_cmip6_CDD_change_at_2_0C.nc: simulated consecutive dry days change (days) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - Figure_11_19c_cmip6_CDD_change_at_4_0C.nc: simulated consecutive dry days change (days) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel d:\r\n - Figure 11_19d_cmip6_SM_total_change_at_1_5C.nc: simulated total column soil moisture change (std) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel e:\r\n - Figure 11_19e_cmip6_SM_total_change_at_2_0C.nc: simulated total column soil moisture change (std) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel f:\r\n - Figure 11_19f_cmip6_SM_total_change_at_4_0C.nc: simulated total column soil moisture change (std) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel g:\r\n - Figure_11_19g_JJA_cmip6_SM_drought_index_change_at_1_5C.nc: simulated July-to-August frequency of 1-in-10 year soil moisture drought change (-) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel h:\r\n - Figure_11_19h_JJA_cmip6_SM_drought_index_change_at_2_0C.nc: simulated July-to-August frequency of 1-in-10 year soil moisture drought change (-) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel i:\r\n - Figure_11_19i_JJA_cmip6_SM_drought_index_change_at_4_0C.nc: simulated July-to-August frequency of 1-in-10 year soil moisture drought (-) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel j:\r\n - Figure_11_19j_cmip6_DJF_SM_drought_index_change_at_1_5C.nc: simulated December-to-February frequency of 1-in-10 year soil moisture drought change (-) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel k:\r\n - Figure_11_19k_cmip6_DJF_SM_drought_index_change_at_2_0C.nc: simulated December-to-February frequency of 1-in-10 year soil moisture drought change (-) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel l:\r\n - Figure_11_19l_cmip6_DJF_SM_drought_index_change_at_4_0C.nc: simulated December-to-February frequency of 1-in-10 year soil moisture drought change (-) at 4.0°C global warming relative to 1850-1900\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure\r\n---------------------------------------------------\r\nFor panels g to l the data should be plotted with a logarithmic colormap. Note that grid cells with no change (0) have been replaced by 10^-5 such that the logarithm is defined.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 11, Figure 11.16, global warming level,  consecutive dry days, total column soil moisture, June-to-August frequency of 1-in-10 year soil moisture drought, December-to-February frequency of 1-in-10 year soil moisture drought Rx1day, CDD, SM, SM drought, projection, cmip6",
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            "uuid": "2f63e632dc3a494696b1b1315cbb531e",
            "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.A.1 (v20220629)",
            "abstract": "Data for Figure 11.A.1 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 11.A.1 shows regional mean changes in annual minimum temperature (TNn) for AR6 land regions and the global land, against changes in global mean surface air temperature (GSAT) as simulated by CMIP6 models under different forcing scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5\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 Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Annual minimum temperature change (°C) as a function of global warming levels (GWLs) relative to 1850-1900 for the IPCC climate reference regions (Iturbide et al., 2020)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Figure_11_A_1_cmip6_TNn_scaling.nc: data for panels (a) through (l)\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel (a): shows the individual ensemble members and the median of three SSPs. Other panels show the multi model median (over the 'mod_ens' dimension). The regions 'global',  'ocean', 'land', 'GIC', 'EAN', and 'WAN' are not shown in the figure.\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 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for Chapter 11 figures, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 11, Figure 11.11, global warming level, annual minimum temperature, TNn, scaling, projection, cmip6",
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            "title": "Regional summaries from Arctic high-resolution sea ice-ocean modelling hindcasts (2008-2021)",
            "abstract": "Regional summaries from the high-resolution sea ice-ocean modelling ERA5JRA55-forced hindcasts (Japanese 55-year atmospheric analysis) were generated to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic and from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the present climate. The model outputs span the Arctic Ocean proper and the sub-Arctic seas, covering the near-present climate period from 2008-2021 during which the largest sea ice changes have been observed.\r\n\r\nThe model configuration is Global Ocean and Sea Ice GO8p7, developed under the Joint Marine Modelling Programme (JMMP), a collaborative project between the National Oceanography Centre (NOC), British Antarctic Survey (BAS) and the Met Office. GO8p7 is based on NEMO v4.0 and the SI3 sea ice model and includes a package of modifications intending to address errors in the Southern Ocean, including a scale-dependent Gent & McWilliams parameterisation, partial slip lateral boundary conditions south of 50°S. and 4th-order horizontal tracer advection (Madec et al. 2019).\r\n\r\nThe present simulation was integrated with Japanese Reanalysis JRA55 v1.3-do from 1958 to 2021 (Tsujino et al., 2018).  The model output has been validated against AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling.\r\n\r\nThe model output has been validated against AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling. \r\n\r\nThe model datasets were produced by National Oceanography Centre (NOC) scientists Dr Yevgeny Aksenov and Dr Stefanie Rynders, using the global model runs carried out by Dr Alex Megann. Dr Andrew Coward also assisted with data handling. The data were produced under Natural Environment Research Council (NERC) project PRE-MELT (grant references NE/T001399/1, NE/T000260/1, NE/T000546/1). The global model integrations were completed thanks to the funding from the National Environmental Research Council (NERC) national capability grant for the North Atlantic Climate System: Integrated study (ACSIS) NCLTS-M program (grant NE/N018044/1) (Megann et al., 2022a,b).  Additional funding also came from NERC projects APEAR (grant reference NE/R012865/1) and CLASS (grant reference NE/R015953/1).",
            "keywords": "Arctic Ocean, sea-ice, JRA55 v1.3-do, GO8p7, Fram Strait, CryoSat-2, SMOS, ARCRegiH",
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            "uuid": "0d88dc06fd514e8199cdd653f00a7be0",
            "title": "ACRUISE: deep-learning inferred shiptrack clouds from AQUA MODIS daylight satellite data for 2002-2021",
            "abstract": "Large dataset of emission induced \"shiptrack\" clouds, detected using deep-learning, from satellite based remote sensing data with global coverage, from 2002 to 2021 for the Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project. Shiptracks were inferred from every daylight granule captured by the MODerate Imaging Spectroradiometer (MODIS) instrument, onboard the NOAA-AQUA satellite from 2002-2021 inclusive and stored in a compressed netcdf file.  In addition, polygons corresponding to contours of level 0.5 and 0.8 from the inference images are provided as a light-weight alternative. These are stored in annual geopackages in the geographic projection.\r\n\r\nThe model is a standard neural-network based segmentation model with a UNet architecture, a resnet-152 backbone and sigmoid activation on the final layer that was pre-trained on the 2012 ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) ImageNet dataset. This model was trained to segment clouds formed by ship exhausts, known as shiptracks, from MODIS level 1b, day microphysics composite granules enhanced through histogram stretching.\r\n\r\nThe purpose of these data is to measure the effect that shipping fuel regulation has on climate change and to reduce the uncertainty in the relationship between aerosols and cloud formation and properties. This allows the determination of where tracks are more likely to form and the sensitivity of clouds to such perturbations.The data indicate a sharp reduction in tracks due to the more stringent ship emission regulations since 2020.\r\n\r\nA small minority of granules (<0.5%) are missing  due to a combination of missing or corrupt files and/or unexpected computational processing failures. These remained unresolved as they were judged insignificant compared to model uncertainties and and of negligible additional benefit to warrant the overheads to resolve each missing granule.",
            "keywords": "Ship tracks, MODIS",
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        {
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            "uuid": "c9397680d08442b9a1d21e7c50df4aba",
            "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input Data for Figure 2.12 (v20220630)",
            "abstract": "Input Data for Figure 2.12 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 2.12 shows changes in temperature through the troposphere and stratosphere, both on near-global scales and in the tropics.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five subpanels, with intermediate data provided for panels b to e.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains trends in temperature at various atmospheric heights for 1980–2019 and 2002–2019\r\n \r\n - for the near-global (70°N–70°S) domain.\r\n - for the tropical (20°N–20°S) region.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panels b-e: each line shows the observed trend for the specified time period/region for a given data set as a function of height.\r\n \r\n - Data files: *ROM_SAF*.nc: Radio occultation RO (ROM SAF). Violet line\r\n - Data files: *UCAR*.nc: Radio occultation RO (UCAR/NOAA). Cyan line\r\n - Data files: *Wegener*.nc: Radio occultation RO (WEGC). Blue line\r\n - Data files: *ERA5*.nc: Modern reanalysis. Cyan dotted lines.\r\n - Data files: *RICH*.nc: Radiosonde. Orange line\r\n - Data files: *RAOBCORE*.nc: Radiosonde. Yellow line\r\n - Data files: *AIRS*.nc: Infrared satellite. Green line\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThere are notes guiding the user to reproduce the figure in the code associated to this dataset. Link to the code that reproduces the figure in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, upper-air temperature, tropospheric temperature, stratospheric temperature",
            "publicationState": "citable",
            "dataPublishedTime": "2023-05-15T13:30:08",
            "doiPublishedTime": "2023-07-04T14:18:16.682470",
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        {
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            "uuid": "2a1284ec9d564f679480ee013b733ae1",
            "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.16 (v20220630)",
            "abstract": "Input data for Figure 2.16 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 2.16 provides global precipitation minus evaporation trend maps and time series from a variety of data sources\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for all panels in the main directory\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The datasets contains:\r\n \r\n - Global precipitation and evaporation data from ERA5 reanalysis\r\n - Time series of global, land-only and ocean-only average annual P–E (mm day–1) from the following reanalysis products: 20CRv3, ERA5, ERA20CM, MERRA, CFSR, ERA20C, JRA55 and MERRA2.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Data files: IntermediateData_era5_evap_2.nc and era5_tp_2.nc\r\n \r\n Panel b:\r\n - Data file: GPME2.csv and GPME2.mat\r\n \r\n Panel c:\r\n - Data file: LPME2.csv and LPME2.mat\r\n \r\n Panel d:\r\n - Data file: OPME2.csv and OPME2.mat\r\n \r\n For panels b to d:\r\n I.     Column 2: orange solid line\r\n II.    Column 3: cyan solid line\r\n III.   Column 4: black solid line\r\n IV.   Column 5: grey solid line\r\n V.    Column 6: blue solid line\r\n VI.   Column 7: dark green solid line\r\n VII.  Column 8: brown solid line\r\n VIII. Column 9: green solid line\r\n\r\n 20CRv3 is the NOAA-CIRES-DOE Twentieth Century Reanalysis Version 3.\r\n ERA5 is a reanalysis of the global climate from 1950 to present, developed by ECMWF.\r\n ERA20CM is a twentieth century atmospheric model ensemble developed by ECMWF.\r\n MERRA stands for Modern-Era Retrospective analysis for Research and Applications.\r\n CFSR stands for Climate Forecast System Reanalysis.\r\n ERA20C is the first atmospheric reanalysis of the 20th century, from 1900-2010, developed by ECMWF.\r\n JRA55 stands for Japanese 55-year Reanalysis.\r\n MERRA2 stands for Modern-Era Retrospective analysis for Research and Applications, version 2.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Additional information to correctly reproduce the figure in the corresponding readme files for code archived on Zenodo (see the link to code provided in the Related Documents section of this catalogue record).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
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            "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.23 (v20220630)",
            "abstract": "Input data for Figure 2.23 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 2.23(a) shows number of a finite selection of surveyed glaciers that advanced during the past 2000 years. Figure 2.23(b) shows the annual and decadal global glacier mass change from 1961 until 2018.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with input data provided for panel b (green lines and shadow).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n Global mean glacier mass balance between 2000 and 2010 and between 2010 and 2020 from Hugonnet et al. (2021).\r\n All values are in Gt yr-1.\r\n All uncertainties are 90% CI.\r\n\r\n Note: two thirds of the data (the rows 2000-2010, 2010-2020) are directly available online at https://doi.org/10.6096/13 under a CC-BY-4.0 license. The last row of 2006-2019 can be derived from the data in that same DOI using provided scripts, but is not directly available in a table.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Figure 2.23 Panel b:\r\n \r\n - green line. table_hugonnet_regions_10yr_ar6period.xlsx. Decadal (2000-2010 and 2010-2020) global mass balance (Gt yr-1)  from Hugonnet et al. (2021). The mean values are computed in the matlab script from the value of each region.\r\n - green area. table_hugonnet_regions_10yr_ar6period.xlsx. Decadal (2000-2010 and 2010-2020) global mass balance (Gt yr-1)  uncertainty from Hugonnet et al. (2021). The mean values are computed in the matlab script from the value of each region.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Input datasets are provided and matlab scripts linked in the related Documents section to reproduce the figure.\r\n\r\nInput dataset: table_hugonnet_regions_10yr_ar6period.xlsx and 2.23b_Zemp_etal_results_global.csv (a table already available as supplementary material by Zemp et al. (2019)). The rest of the files are provided in the corresponding code on GitHub (matlab script). The link to the code archive on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\nCode please be aware that you will need: \r\n - MB_figure_FGD_chapter2_jun_28_2021.m  script \r\n - shadedplot.m matlab function \r\n - colorscheme.mat created by the TSU of WGI\r\n\r\n\r\n* black line. Zemp_etal_results_global.csv. Global mass change (Gt yr-1) based on spatial interpolation from 1961 to 2016; supplementary materials from Zemp et al. (2019)  it is complemented with the mass change for years 2017 and 2018 from Table 1 of Zemp et al. (2020). Decadal means are computed by the matlab script.\r\n\r\n\r\n* grey area. Zemp_etal_results_global.csv. Total uncertainty of regional mass change (Gt yr-1) from 1961 to 2016; supplementary materials from Zemp et al. (2019) it is complemented with the uncertainty of mass change for years 2017 and 2018 from Table 1 of Zemp et al. (2020). Decadal uncertainties are computed by the matlab script.\r\n\r\n\r\n* blue line. Global mean glacier mass balance (Gt yr-1) between 2002 and 2016 from Wouters et al. (2019). Values are taken from Table 1 of Wouters et al. (2019) Global total of glacier mass budget. Values are declared in the matlab script.\r\n\r\n\r\n* light blue area. Global mean glacier mass balance uncertainty (Gt yr-1) between 2002 and 2016 from Wouters et al. (2019). Values are taken from Table 1 of Wouters et al. (2019) Global total of glacier mass budget uncertainty. Values are declared in the matlab script.\r\n\r\n\r\n* desert yellow line. Global mean glacier mass balance (Gt yr-1) between 2006 and 2015 from Hock et al. (2019) Values are taken from Table 2A.1 of Chapter 2 of SROCC Global values. Values are declared in the matlab script.\r\n\r\n\r\n* desert yellow area. Global mean glacier mass balance uncertainty (Gt yr-1) between 2006 and 2015 from Hock et al. (2019) Values are taken from Table 2A.1 of Chapter 2 of SROCC Global values. Values are declared in the matlab script.\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\r\n - Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Global glacier mass change",
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            "uuid": "e9f67cfb456845b3b406328c6ae43e2d",
            "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.12 (v20220701)",
            "abstract": "Data for Figure 2.12 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 2.12 shows changes in temperature through the troposphere and stratosphere, both on near-global scales and in the tropics.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 5 subpanels, with data provided for panel a.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed temperature anomaly trends for 2002-2019 from the ROM SAF dataset, plotted as a trend/height/latitude contour plot.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.12:\r\n \r\n - Data file: Figure_2_12a_data_file.nc: tdry_trends filled contours plot\r\n - Data file: Figure_2_12a_data_file.nc: lrt_temprature_altitude grey line\r\n\r\nROM SAF stands for Radio Occultation Meteorology Satellite Application Facilities.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel (a) is plotted using standard matplotlib software. \r\nThere are notes guiding the user to reproduce the figure in the code associated to this dataset. Link to the code that reproduces the figure in the Related Documents section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to input data figure 2.12.\r\n- Link to the code for the figure, archived on Zenodo.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, upper-air temperature, tropospheric temperature, stratospheric temperature",
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            "uuid": "ef7b615816cb432088d02c97836ca9fa",
            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.3 (v20220721)",
            "abstract": "Data for Figure 9.3 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 9.3 shows sea surface temperature (SST) and its changes with time. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 12 panels labelled (a)-(j). Data is provided provided for panels using this lettering system.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Time series of global mean SST anomaly relative to 1950–1980 climatology. Shown are paleoclimate reconstructions and PMIP models, observational reanalyses (HadISST) and multi-model means from the Coupled Model Intercomparison Project (CMIP) historical simulations, CMIP projections, and HighResMIP experiment. \r\n\r\n- Map of observed SST (1995–2014 climatology HadISST). \r\n\r\n- Historical SST changes from observations. \r\n\r\n- CMIP 2005–2100 SST change rate. (e) Bias of CMIP. (f) CMIP change rate. \r\n\r\n- 2005–2050 change rate for SSP5-8.5 for the CMIP ensemble. \r\n\r\n- Bias of HighResMIP (bottom left) over 1995–2014. \r\n\r\n- HighResMIP change rate for 1950–2014. \r\n\r\n- 2005–2050 change rate for SSP5-8.5 for the HighResMIP ensemble. No overlay indicates regions with high model agreement, where ≥80% of models agree on sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on sign of change (see Cross-Chapter Box Atlas.1 for more information). Further details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.3\r\n \r\n - Data file: Fig9-3a_data_CMIPlikelybounds.nc: \r\n - Data file: Fig9-3a_data_CMIPmean.nc: \r\n - Data file: Fig9-3a_data_HighResMIPlikelybounds.nc: \r\n - Data file: Fig9-3a_data_HighResMIPmean.nc: \r\n - Data file: Fig9-3a_data_Observedmean.nc: \r\n - Data file: Fig9-3a_data_paleo.nc: \r\n - Data file: Fig9-3a_data_ssp126likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp126likelybounds_extended.nc: \r\n - Data file: Fig9-3a_data_ssp126mean.nc: \r\n - Data file: Fig9-3a_data_ssp126mean_extended.nc: \r\n - Data file: Fig9-3a_data_ssp126verylikelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp245likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp245mean.nc: \r\n - Data file: Fig9-3a_data_ssp245verylikelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp370likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp370mean.nc: \r\n - Data file: Fig9-3a_data_ssp370verylikelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp585likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp585likelybounds_extended.nc: \r\n - Data file: Fig9-3a_data_ssp585mean.nc: \r\n - Data file: Fig9-3a_data_ssp585mean_extended.nc: \r\n - Data file: Fig9-3a_data_ssp585verylikelybounds.nc: \r\n - Data file: Fig9-3b_data.nc: \r\n - Data file: Fig9-3c_data.nc: \r\n - Data file: Fig9-3d_data.nc: \r\n - Data file: Fig9-3e_data.nc: \r\n - Data file: Fig9-3f_data.nc: \r\n - Data file: Fig9-3g_data.nc: \r\n - Data file: Fig9-3h_data.nc: \r\n - Data file: Fig9-3i_data.nc: \r\n - Data file: Fig9-3j_data.nc: \r\n\r\nPMIP is the Paleoclimate Modelling Intercomparison Project. \r\nHadISST stands for Hadley Centre Sea Ice and Sea Surface Temperature.\r\nCMIP is the Coupled Model Intercomparison Project.\r\nHighResMIP is the High Resolution Model Intercomparison Project.\r\nSST stands for Sea Surface Temperature.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP stands for Representative Concentration Pathway.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n GMSST and SST maps were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\nThe plotting code is designed to use pre-processed CMIP data, rather than the provided netcdf files. To reproduce these figures form the metadata please modify the example code linked in the Related Documents section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to example code on GitHub\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, SST, sea surface temperature",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.9 (v20220721)",
            "abstract": "Data for Figure 9.9 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.9 shows long-term trends of ocean heat content (OHC) and surface temperature. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 4 panels with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Ice-core rare gas estimates of past mean OHC (units = ZJ), scaled to global mean ocean temperature (°C), and to steric global mean sea level (GMSL) (m) per CCB-2 (red dashed line), compared to surface temperatures (black solid line, gold solid line; °C rightmost axis). \r\n- Southern Ocean sea surface temperature (SST) from multiple proxies in 11 sediment cores and from ice core deuterium excess (Uemura et  al., 2018). \r\n(a) Penultimate glacial interval to last interglacial, 150,000–100,000 yr B2K (before 2000) (Shackleton et al., 2020). First panel.\r\n(b) Last glacial interval to modern interglacial, 40,000–0 yr B2K (Baggenstos et al., 2019; Shackleton et al., 2019). Second panel.\r\n(c) Long-term projected (2000 to 12000 CE) changes of OHC (dashed lines) in response to four greenhouse gas emissions scenarios (Clark et al., 2016) scale similarly to large-scale paleo changes but lag projected global mean SST (solid lines). Third panel.\r\n(d) Model simulated 1500–1999 OHC (Gregory et al., 2006) and 1955–2019 observations (Levitus et al., 2012) updated by NOAA NODC. Fourth panel.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.9\r\n \r\n - Data file: Fig9-9_data_Baggenstoslikely_Deglacial.nc\r\n - Data file: Fig9-9_data_Baggenstosmean_Deglacial.nc\r\n - Data file: Fig9-9_data_GlobalMeanSST_Deglacial.nc\r\n - Data file: Fig9-9_data_GlobalMeanSST_LIG.nc\r\n - Data file: Fig9-9_data_HadCM3_Modern.nc\r\n - Data file: Fig9-9_data_Levitus_Modern.nc\r\n - Data file: Fig9-9_data_SST_to_OHC_Conversion_Factor.nc\r\n - Data file: Fig9-9_data_Shackletonlikely_Deglacial.nc\r\n - Data file: Fig9-9_data_Shackletonlikely_LIG.nc\r\n - Data file: Fig9-9_data_Shackletonmean_Deglacial.nc\r\n - Data file: Fig9-9_data_Shackletonmean_LIG.nc\r\n - Data file: Fig9-9_data_SouthernOceanSST_Deglacial.nc\r\n - Data file: Fig9-9_data_SouthernOceanSST_LIG.nc\r\n - Data file: Fig9-9_data_Uemera_Modern.nc\r\n - Data file: Fig9-9_data_ohc_1280Gt.nc\r\n - Data file: Fig9-9_data_ohc_2560Gt.nc\r\n - Data file: Fig9-9_data_ohc_3840Gt.nc\r\n - Data file: Fig9-9_data_ohc_5120Gt.nc\r\n\r\nChanges in OHC (dashed lines) track changes in Southern Ocean SST (solid lines). \r\nAll data expressed as anomalies relative to pre-industrial time. Further details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\nOHC stands for Ocean Heat Content.\r\nGMSL stands for Global Mean Sea Level.\r\nNOAA NODC is the National Oceanic and Atmospheric Administration's National Oceanographic Data Center.\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from -150kyr (150 thousand years ago) to 14000 CE (long-term future projection).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nOHC and SST time series were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository.",
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            "uuid": "e2d7ec1924b04bebbb4044982e2be0ff",
            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.7 (v20220721)",
            "abstract": "Data for Figure 9.7 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.7 shows meridional-depth profiles of zonal-mean potential temperature in the ocean and its rate of change in the upper 2000 m of the Global, Pacific, Atlantic and Indian oceans. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 8 panels labelled (a)-(h), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n\r\n- Observed temperatures from Argo climatology 2005–2014 (a, e, i, m)\r\n- Bias of CMIP6 ensemble over same period 2005-2014 (b, f, j, n)\r\n- Future changes under SSP1-2.6 (c, g, k, o) and SSP5-8.5 (d, h, l, p), 1995-2100. \r\n\r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.7\r\n \r\n - Data file: Fig9-7a_data.nc:\r\n - Data file: Fig9-7b_data.nc:\r\n - Data file: Fig9-7c_data.nc:\r\n - Data file: Fig9-7d_data.nc:\r\n - Data file: Fig9-7e_data.nc:\r\n - Data file: Fig9-7f_data.nc:\r\n - Data file: Fig9-7g_data.nc:\r\n - Data file: Fig9-7h_data.nc:\r\n - Data file: Fig9-7i_data.nc:\r\n - Data file: Fig9-7j_data.nc:\r\n - Data file: Fig9-7k_data.nc: \r\n - Data file: Fig9-7l_data.nc:\r\n - Data file: Fig9-7m_data.nc:\r\n- Data file: Fig9-7n_data.nc:\r\n- Data file: Fig9-7o_data.nc:\r\n- Data file: Fig9-7p_data.nc:\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Zonal transects were calculated and plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, ocean temperature, potential temperature, transect, zonal transects, global ocean, Indian Ocean, Pacific Ocean, Atlantic Ocean",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.6 (v20220721)",
            "abstract": "Data for Figure 9.6 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.6 shows ocean heat content (OHC) and its changes with time. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 8 panels labelled (a)-(g), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n-  (a) Time series of global OHC anomaly relative to a 2005–2014 climatology in the upper 2000 m of the ocean, combining observations (Ishii et al., 2017; Baggenstos et al., 2019; Shackleton et al., 2020), model-observation hybrids (Cheng et al., 2019; Zanna et al., 2019), and multi-model means from CMIP6, historical (29 models) and SSP scenarios. \r\n\r\n- Maps of OHC from CMIP6 ensemble bias and observed (Ishii et al., 2017) trends of OHC for 0–700 m for the period 1971–2014 (b, c)\r\n\r\n-  Maps of OHC from CMIP6 ensemble bias and observed (Ishii et al., 2017) trends of OHC for 0–2000 m for the period 2005–2017 (e, f). \r\n\r\n- Projected rate of change 2015–2100 for (d) SSP5-8.5 and (g) SSP1-2.6 scenarios from CMIP6 ensemble means. \r\n\r\n- Projected change in 0–700 m OHC for (d) SSP1-2.6 and (g) SSP5-8.5 in the CMIP6 ensembles, for the period 2091–2100 versus 2005–2014.\r\n\r\nLabel subscripts in (a) indicate number of models per SSP. \r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.6\r\n \r\n - Data file: Fig9-6a_data_CMIPlikelybounds.nc:\r\n - Data file: Fig9-6a_data_CMIPmean.nc:\r\n - Data file: Fig9-6a_data_HybridChengmean.nc:\r\n - Data file: Fig9-6a_data_HybridZannamean.nc:\r\n - Data file: Fig9-6a_data_Observedlikelybounds.nc:\r\n - Data file: Fig9-6a_data_Observedmean.nc:\r\n - Data file: Fig9-6a_data_paleo.nc:\r\n - Data file: Fig9-6a_data_ssp126likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp126mean.nc:\r\n - Data file: Fig9-6a_data_ssp126verylikelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp245likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp245mean.nc:\r\n - Data file: Fig9-6a_data_ssp245verylikelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp370likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp370mean.nc: \r\n - Data file: Fig9-6a_data_ssp370verylikelybounds.nc: \r\n - Data file: Fig9-6a_data_ssp585likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp585mean.nc:\r\n - Data file: Fig9-6a_data_ssp585verylikelybounds.nc:\r\n - Data file: Fig9-6b_data.nc:\r\n - Data file: Fig9-6c_data.nc:\r\n - Data file: Fig9-6d_data.nc:\r\n - Data file: Fig9-6e_data.nc:\r\n - Data file: Fig9-6f_data.nc:\r\n - Data file: Fig9-6g_data.nc:\r\n\r\nOHC stands for Ocean Heat Content.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n OHC maps and OHC timeseries were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\nThe plotting code is designed to use pre-processed CMIP data, rather than the provided netcdf files. To reproduce these figures form the metadata please modify the example code given here: https://github.com/BrodiePearson/IPCC_AR6_Chapter9_Figures/blob/main/Plotting_code_and_data/Fig9_03_SST/Plot_Figure/Example_plotting_from_metadata.m\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Ocean Heat Content, OHC",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.5 (v20220721)",
            "abstract": "Data for Figure 9.5 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.5 shows mixed-layer depth in winter and summer. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 8 panels labelled (a)-(h), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Mixed-layer depth in (a–d) winter and (e–h) summer (a, e).\r\n- Observed climatological mean mixed-layer depth (based on density threshold) from the Argo Mixed Layer Depth Climatology (Holte et al., 2017) using observations for 2000–2019 (b, f).\r\n- Bias between the observation-based estimate (2000–2019) and  the 1995–2014 CMIP6 climatological mean mixed-layer depth (c, d, g, h) .\r\n- Projected mixed-layer depth (MLD) change from 1995–2014 to 2081–2100 under (c, g) SSP1-2.6 and (d, h) SSP5-8.5 scenarios. \r\n\r\nThe (a–d) winter row shows December–January–February (DJF) in the Northern Hemisphere and June–July–August (JJA) in the Southern Hemisphere; the (e–h) summer row shows JJA in the Northern Hemisphere and DJF in the Southern Hemisphere. The mixed-layer depth is the depth where the potential density is 0.03 kg m–3 denser than at 10 m. \r\n\r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.5\r\n \r\n- Data file: Fig9-5a_data.nc: \r\n- Data file: Fig9-5b_data.nc: \r\n- Data file: Fig9-5c_data.nc: \r\n- Data file: Fig9-5d_data.nc: \r\n- Data file: Fig9-5e_data.nc: \r\n- Data file: Fig9-5f_data.nc: \r\n- Data file: Fig9-5g_data.nc: \r\n- Data file: Fig9-5h_data.nc: \r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMixed layer depth maps were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Mixed Layer Depth, MLD",
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            "uuid": "fdfeb81d2ffd42c3ba2bbb00b681317c",
            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.4 (v20220721)",
            "abstract": "Data for Figure 9.4 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.4 shows global maps of observed mean fluxes, the observed trends in these fluxes, and the projected rate of change in these fluxes from SSP5-8.5, for freshwater, net heat, and wind stress magnitude (momentum).\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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 9 panels labelled (a)-(i), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Freshwater flux (a–c), net heat flux (d–f), and momentum flux or wind stress magnitude (g–i).\r\n- Means and observed trends between 1995–2014 (freshwater and wind stress) or 2001–2014 (heat). \r\n- SSP5-8.5 projected rates between 1995–2100 using 20-year averages at each end of the time period. - - Objective interpolation from CERES, EBAF v4 (Kato et al., 2018), OAFlux-HR (Yu, 2019) and GPCP (Adler et al., 2003) of fluxes and flux trends (b, e, h). \r\n\r\nObserved trends with no overlay indicate regions where the trends are significant at p = 0.34 level. Crosses indicate regions where trends are not significant. For (c, f, i) projections, no overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.4\r\n \r\n - Data file: Fig9-4a_data.nc: \r\n - Data file: Fig9-4b_data.nc: \r\n - Data file: Fig9-4c_data.nc: \r\n - Data file: Fig9-4d_data.nc: \r\n - Data file: Fig9-4e_data.nc: \r\n - Data file: Fig9-4f_data.nc: \r\n - Data file: Fig9-4g_data.nc: \r\n - Data file: Fig9-4g_data_tauu.nc: \r\n - Data file: Fig9-4g_data_tauv.nc: \r\n - Data file: Fig9-4h_data.nc: \r\n - Data file: Fig9-4i_data.nc: \r\n\r\nCERES stands for Clouds and the Earth’s Radiant Energy System.\r\nEBAF stands for Energy Balanced And Filled. \r\nOAFlux-HR stands for Objectively Analyzed air–sea Fluxes-High Resolution.\r\nGPCP is the Global Precipitation Climatology Project.\r\nSSP stands for Shared Socio-Economic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nFlux maps were plotted using standard matplotlib software, code is available via the link in the documentation.\r\n\r\nSome of the plotting code is designed to use pre-processed CMIP data, rather than the provided netcdf files. To reproduce these figures form the metadata please modify the example code linked in the Related Documents section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to example code on GitHub\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository.",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.15 (v20220712)",
            "abstract": "Data for Figure 9.15 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.15 shows Antarctic sea ice historical records and CMIP6 projections. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (Left panel) Absolute anomaly of observed monthly mean Antarctic sea ice area during the period 1979–2019 relative to the average monthly mean Antarctic sea ice area during the period 1979–2008. \r\n- (Right panel) Sea ice coverage in the Antarctic as given by the average of the three most widely used satellite-based estimates for September and February, which usually are the months of maximum and minimum sea ice coverage, respectively. \r\n\r\nFirst column: Mean sea ice coverage during the decade 1979–1988. \r\nSecond column: Mean sea ice coverage during the decade 2010–2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15% for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.15\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nDatafile  'mapplot_data.npz' included in the 'Plotted Data' folder of the GitHub repository is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the code and output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Antarctic, sea ice",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.14 (v20220721)",
            "abstract": "Data for Figure 9.14 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.14 shows monthly mean March and September sea ice area as a function of global surface air temperature (GSAT) anomaly; cumulative anthropogenic CO2 emissions; year in CMIP6 model simulations and in observations. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 8 subpanels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Monthly mean March sea ice area as a function of global surface air temperature (GSAT) anomaly.\r\n- (b) Monthly mean March sea ice area as a function of cumulative anthropogenic CO2 emissions.\r\n- (c) Monthly mean March sea ice area as a function of year in CMIP6 model simulations and observations.\r\n- (d) Sensitivity of March sea ice loss to anthropogenic CO2 emissions as a function of modelled sensitivity of GSAT to anthropogenic CO2 emissions.\r\n- (e) Monthly mean September sea ice area as a function of global surface air temperature (GSAT) anomaly. \r\n- (f) Monthly mean September sea ice area as a function of cumulative anthropogenic CO2 emissions.\r\n- (g) Monthly mean September sea ice area as a function of year in CMIP6 model simulations and observations\r\n- (h) Sensitivity of September sea ice loss to anthropogenic CO2 emissions as a function of modelled sensitivity of GSAT to anthropogenic CO2 emissions.\r\n\r\nCO2 emissions are shown as CMIP6 model simulations (shading, ensemble mean as bold line) and observations (black dots).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.14\r\n \r\n - Data file: CMIP3_sensitivity_nh.nc\r\n - Data file: CMIP5_sensitivity_nh.nc\r\n - Data file: CMIP6_historical_nh.nc\r\n - Data file: CMIP6_sensitivity_nh.nc\r\n - Data file: CMIP6_ssp119_nh.nc\r\n - Data file: CMIP6_ssp126_nh.nc\r\n - Data file: CMIP6_ssp245_nh.nc\r\n - Data file: CMIP6_ssp585_nh.nc\r\n - Data file: CO2_CMIP6.nc\r\n - Data file: IPCC_GSAT.csv: Provisional time series for use in GSAT calculations. \r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: obs_sensitivity_nh.nc\r\n\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nGSAT stands for Global Surface Air Temperature. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nUHH is the University of Hamburg (Universität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nSections of the figure in the report were plotted using standard matplotlib software - code is available via the link in the documentation. Some data has been converted to net-CDF format for archival, original .mat files used in the plotting script are archived on Zenodo at the link provided in the Related Document section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository.",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.13 (v20220721)",
            "abstract": "Data for Figure 9.13 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.13 shows Arctic sea ice historical records and CMIP6 projections. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n- (Left panel) Absolute anomaly of monthly-mean Arctic sea ice area during the period 1979 to 2019 relative to the average monthly-mean Arctic sea ice area during the period 1979 to 2008. \r\n- (Right panel) Sea ice concentration in the Arctic for March and September, which usually are the months of maximum and minimum sea ice area, respectively. \r\n\r\nFirst column: Satellite-retrieved mean sea ice concentration during the decade 1979–1988. Second column: Satellite-retrieved mean sea ice concentration during the decade 2010-2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15 % for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.13\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nDatafile  'mapplot_data.npz' included in the 'Plotted Data' folder of the dedicated GitHub repository is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universtität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data and scripts for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Arctic, sea ice",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.12 (v20220721)",
            "abstract": "Data for Figure 9.12 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.12 shows CMIP6 multi-model mean projected change contributions to relative sea level change in steric sea level anomaly, thermosteric sea level anomaly, and halosteric sea level anomaly between 1995–2014 and 2081–2100.\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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 9 subpanels, with data provided for all panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a, d) CMIP6 multi-model mean projected change contributions to relative sea level change in steric sea level anomaly between 1995-2014 and 2081-2100..\r\n- (b, e) CMIP6 multi-model mean projected change contributions to relative sea level change in thermosteric sea level anomaly between 1995-2014 and 2081-2100.\r\n- (c, f) CMIP6 multi-model mean projected change contributions to relative sea level change in halosteric sea level anomaly between 1995-2014 and 2081-2100.\r\n- (g–i) Standard deviation of ocean dynamic sea level change from (g) Aviso observations (10-day high-pass filter); (h) five-day mean of high-resolution Ocean Model Intercomparison Project phase 2 (OMIP-2) models forced with observed fluxes; and (i) five-day mean of low-resolution OMIP-2 models which are comparable in resolution to the models in (a–f).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.12\r\n \r\n - Data file: Fig9-12a_data.nc\r\n - Data file: Fig9-12b_data.nc\r\n - Data file: Fig9-12c_data.nc\r\n - Data file: Fig9-12d_data.nc\r\n - Data file: Fig9-12e_data.nc\r\n - Data file: Fig9-12f_data.nc\r\n - Data file: Fig9-12g_data.nc\r\n - Data file: Fig9-12h_data.nc\r\n - Data file: Fig9-12i_data.nc\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nOMIP-2 is the Ocean Model Intercomparison Project phase 2.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository along with code to plot the figure.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level, sea level rise, sea surface height, standard deviation of sea surface height, steric, thermosteric, halosteric",
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            "abstract": "Data for Figure 9.11 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.11 shows simulated barotropic streamfunction, surface speed and major current transport in CMIP5 and CMIP6. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with data provided for all panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Mean barotropic streamfunction (unit: 109 kgs–1; 1995–2014)\r\n- (b) Projected barotropic streamfunction change (109 kgs–1; 2018–2100 vs 1995–2014) under SSP5-8.5. \r\n- (d) Mean surface (0–100 m) speed (m s–1)\r\n- (e) Projected surface speed change (m s–1, 2081–2100) versus 1995–2014 under SSP5-8.5.\r\n- (c, f) Median and likely range of 1995–2014 and 2081–2100 transport of three currents with the largest transport change and four with the largest fractional change (Sen Gupta et al., 2016). (c) Deep currents: Agulhas Extension (ACx), Gulf Stream (GS), Gulf Stream Extension (GSx), Tasman Leakage (TASL), East Australia Current Extension (EACx), Indonesian Throughflow (ITF), and Brazil Current (BC). (f) Shallow currents: as for deep but with New Guinea Current (NGC), and without ACx. \r\n\r\n\r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). Further details on data sources and processing are available in the chapter data table (Table 9.SM.9). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.11\r\n \r\n - Data file: Fig9-11a_data.nc:\r\n - Data file: Fig9-11b_data.nc:\r\n - Data file: Fig9-11d_data.nc:\r\n - Data file: Fig9-11e_data.nc:\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nSpeed maps, stream function maps and transport panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, streamfunction, surface speed, surface currents, transport, ocean transport",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.10 (v20220712)",
            "abstract": "Data for Figure 9.10 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.10 shows Atlantic Meridional Overturning Circulation (AMOC) strength in simulations and sensitivity to resolution and forcing. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels, with data for all panels contained in the code archived on Zenodo which is linked in the documentation. Data and code can also be found on the GitHub repository for chapter 9 linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- AMOC magnitude (units: Sverdrup (Sv) = 109 kg s–1) in PMIP experiments (Top left). \r\n- Time series of AMOC from CMIP5 and CMIP6 based on (Menary et al., 2020b) (Top right). \r\n- Percent change in AMOC strength per year at different resolutions over the 1950–2050 period with colours for model families (Roberts et al., 2020) (Bottom left).\r\n- A compilation of percentage changes in the simulated AMOC after applying an additional freshwater flux in the subpolar North Atlantic at the surface for a limited time (de Vries and Weber, 2005; Stouffer et al., 2006; Yin and Stouffer, 2007; Jackson, 2013; Liu and Liu, 2013; Jackson and Wood, 2018; Haskins et al., 2019) (Bottom right). \r\n\r\nSymbols indicate whether the AMOC recovers within 200 years (circles), is starting to recover (upwards arrow), or does not recover within 200 years (downwards arrow). Symbol size indicates rate of freshwater input. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nData provided for all panels in the code archived on Zenodo which is linked in the Related Documents section of this catalogue record. Data and code can also be found on the GitHub repository for chapter 9 also linked here.\r\n\r\nAMOC is the Atlantic Meridional Overturning Circulation.\r\nPMIP is the Paleoclimate Modelling Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nAll panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the dedicated GitHub repository for figure.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, meridional overturning circulation, AMOC",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.32 (v20220721)",
            "abstract": "Data for Figure 9.32 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.32 shows projected median frequency amplification factors for the 1% average annual probability extreme still water level in 2050 and 2100. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with data provided for panels a-f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Projected median frequency amplification factors for 1% average annual probability extreme still water level in 2050 (a, c, e) and 2100 (b, d, f).\r\n- Regional projections for these under:\r\n(a, b) SSP5-85.\r\n(c, d) SSP2-45.\r\n(e, f) SSP1-26.\r\n\r\n1% average annual probability extreme still water level is defined as the 99th percentile of daily observed water levels over 1995–2014. Based on a peak-over-threshold (99.7%) method applied to the historical extreme still water levels of Global Extreme Sea Level Analysis version 2 (GESLA2) following Special Report on Ocean and Cryosphere in a Changing Climate (SROCC) and additionally fitting a Gumbel distribution between Mean Higher High Water (MHHW) and the threshold following Buchanan et al. (2016), using the regional sea level projections of Section 9.6.3.3 for (a-f).\r\n\r\n Further details on data sources and processing are available in the chapter data table \r\n(Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.32\r\n \r\n - Data file: Fig9-32a_facts_esl_af_allow_ssp585_2050.nc\r\n - Data file: Fig9-32b_facts_esl_af_allow_ssp585_2100.nc\r\n - Data file: Fig9-32c_facts_esl_af_allow_ssp245_2050.nc\r\n - Data file: Fig9-32d_facts_esl_af_allow_ssp245_2100.nc\r\n - Data file: Fig9-32e_facts_esl_af_allow_ssp126_2050.nc\r\n - Data file: Fig9-32f_facts_esl_af_allow_ssp126_2100.nc\r\n\r\nPython file 'facts_esl_output_to_NetCDF.py' included in the 'Plotted Data' folder of the dedicated GitHub repository is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record. This is a script converting ESL results in CSV format to NetCDF.\r\n\r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nGESLA2 is the Global Extreme Sea Level Analysis version 2.\r\nSROCC stands for Ocean and Cryosphere in a Changing Climate. \r\nMHHW stands for Mean Higher High Water.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMap and figure plots were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the code and output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, amplification, frequency amplification factors, extreme sea level, extreme still water level",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.30 (v20220712)",
            "abstract": "Data for Figure 9.30 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.30 shows global mean sea level (GMSL) commitment as a function of peak global surface air temperature. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 10 subpanels, with data provided for all panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Global mean sea level (GMSL) commitment as a function of peak global surface air temperature from models (Clark et al., 2016; DeConto and Pollard, 2016; Garbe et al., 2020; Van Breedam et al., 2020) and paleo data on 2000-year (lower row) and 10,000 year (upper row) time scales. \r\n- Different contributors to GMSL rise (from left to right panels: total GMSL change, Antarctic Ice Sheet, Greenland Ice Sheet, global mean thermosteric sea level rise, and glaciers). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.30\r\n \r\n - Data file: Fig9-30_data_Clark2016_UVic28_AIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_AIS_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GIC_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GIC_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMSL_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMSL_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMTE_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMTE_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GrIS_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_AIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_AIS_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GIC_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GIC_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMSL_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMSL_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMTE_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMTE_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GrIS_2000y.nc\r\n - Data file: Fig9-30_data_DeConto2016_AIS_2000y.nc\r\n - Data file: Fig9-30_data_Garbe2020_AIS.nc\r\n - Data file: Fig9-30_data_Gregory2020_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_Gregory2020_GrIS_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_AIS_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_AIS_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GIC_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GIC_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMSL_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMSL_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMTE_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMTE_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GrIS_2000y.nc\r\n\r\nGMSL stands for Global Mean Sea Level.\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from 10,000 years ago to present.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nSLR commitments were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the output data and plotting code for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level, sea-level commitment",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.29 (v20221114)",
            "abstract": "Data for Figure 9.29 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.29 shows timing of when global mean sea level (GMSL) thresholds of 0.5, 1.0, 1.5 and 2.0 m are exceeded, based on four different ice-sheet projection methods informing post-2100 projections. \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for panels SSP1-2.6 and SSP5-8.5 separately.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Timing of GMSL threshold exceedance at 0.5m, 1.0m, 1.5m, 2.0m based on four ice-sheet projection methods informing post-2100 methods. \r\n\r\nMethods are labelled based on their treatment of ice sheets. \r\n- ‘No acceleration’ assumes constant rates of mass change after 2100. \r\n- ‘Assessed ice sheet’ models post-2100 ice-sheet losses using a parametric fit (Supplementary Material 9.SM.4) extending to 2300 based on a multi-model assessment of contributions under RCP2.6 and RCP8.5 at 2300. \r\n- Marine ice-cliff instability (MICI) combines the parametric fit (Supplementary Material 9.SM3.4) for Greenland with Antarctic projections based on DeConto et al. (2021).\r\n- Structured expert judgement (SEJ) employs ice-sheet projections from Bamber et al. (2019). \r\n\r\nCircles, thick bars and thin bars represent the 50th, 17th–83rd and 5th–95th percentiles of the exceedance timing for the indicated projection method.\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.29\r\n \r\n - Data file: Fig9-29_ssp126_data.nc\r\n - Data file: Fig9-29_ssp585_data.nc\r\n\r\nGMSL stands for Global Mean Sea Level.\r\nRCP stands for Representative Concentration Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nProjected exceedances were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\nThe provided R code for generating this plot uses relative paths.  Be sure to set your session's working directory to the location of the R code before running the code.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea-level, projection, milestone, exceedance, timing, sea level, sea-level rise",
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            "uuid": "7f9c951b59ae44aeb6d745ed702c56dd",
            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.28 (v20220721)",
            "abstract": "Data for Figure 9.28 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.28 shows regional sea level change at 2100 for different scenarios (with respect to 1995–2014). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with data provided for panels a-f. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Median regional relative sea level change from 1995–2014 up to 2100 for: (a) SSP1-1.9; (b) SSP1-2.6; (c) SSP2-4.5; (d) SSP3-7.0; (e) SSP5-8.5; and (f) width of the likely range for SSP3-7.0. \r\n\r\nThe high uncertainty in projections around Alaska and the Aleutian Islands arises from the tectonic contribution to vertical land motion, which varies greatly over short distances in this region. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.28\r\n \r\n - Data file: Fig9-28a_data.nc\r\n - Data file: Fig9-28b_data.nc\r\n - Data file: Fig9-28c_data.nc\r\n - Data file: Fig9-28d_data.nc\r\n - Data file: Fig9-28e_data.nc\r\n - Data file: Fig9-28f_data.nc\r\n\r\nSSP119 is the Shared Socioeconomic Pathway which represents the lowest scenario of radiative forcing and development scenarios, consistent with RCP1.9.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nRSL scenarios were plotted using standard matplotlib software - code is available via the link in the documentation. Input data for each SSP scenario (.nc files in data/pb_1e) also provided.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the code and output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, projected regional sea level, sea level, sea-level change",
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            "uuid": "64fa14764534431f805e747249786f88",
            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.26 (v20220721)",
            "abstract": "Data for Figure 9.26 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.26 shows median global mean and regional relative sea level projections (m) by contribution for the SSP1-2.6 and SSP5-8.5 scenarios. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 subpanels, with data provided for all panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Upper time series: Global mean contributions to sea level change as a function of time, relative to 1995–2014. \r\n\r\n- Lower maps: Regional projections of the sea level contributions in 2100 relative to 1995–2014 for SSP5-8.5 and SSP1-2.6. Vertical land motion is common to both SSPs.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.26\r\n\r\n - Data file: Fig9-26_2100likelyranges.nc\r\n - Data file: Fig9-26_data_landmotion_map.nc\r\n - Data file: Fig9-26_data_ssp126_Antarctic_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_Greenland_map.nc\r\n - Data file: Fig9-26_data_ssp126_Greenland_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_glacier_map.nc\r\n - Data file: Fig9-26_data_ssp126_glacier_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_landwater_map.nc\r\n - Data file: Fig9-26_data_ssp126_landwater_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_oceandynamics_map.nc\r\n - Data file: Fig9-26_data_ssp126_thermalexpansion_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_Antarctic_map.nc\r\n - Data file: Fig9-26_data_ssp585_Antarctic_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_Greenland_map.nc\r\n - Data file: Fig9-26_data_ssp585_Greenland_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_glacier_map.nc\r\n - Data file: Fig9-26_data_ssp585_glacier_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_landwater_map.nc\r\n - Data file: Fig9-26_data_ssp585_landwater_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_oceandynamics_map.nc\r\n - Data file: Fig9-26_data_ssp585_thermalexpansion_timeseries.nc\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nContribution maps and timeseries were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level, sea-level change, contributors to sea level change",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.24 (v20221114)",
            "abstract": "Data for Figure 9.24 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.24 shows simulated CMIP6 and observed snow cover extent (SCE). \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\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Simulated CMIP6 and observed (Mudryk et al., 2020) SCE (in millions of km2) for 1981–2014.\r\n- (b) Spring (March to May) Northern Hemisphere SCE against global surface air temperature (GSAT) (relative to the 1995–2014 average) for the CMIP6 Tier 1 scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5), with linear regressions. \r\n\r\n(a) Boxes and whiskers with outliers represent monthly mean values for the individual CMIP6 models averaged over 1981–2014, with the red bar indicating the median of the CMIP6 multi-model ensemble for that period. The observed interannual distribution over the period is represented in green, with the yellow bar indicating the median.\r\n\r\n(b) Each data point is the mean for one CMIP6 simulation (first ensemble member for each available model) in the corresponding temperature bin. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.24\r\n \r\n - Data file: Mudryk_scf_1981-2014.txt\r\n - Data file: snc_clim_CMIP6_historical_1981-2014.txt\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp126.nc\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp245.nc\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp370.nc\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp585.nc\r\n - Data file: sncbin_CanESM5_historical_ssp119.nc\r\n - Data file: sncbin_CanESM5_historical_ssp126.nc\r\n - Data file: sncbin_CanESM5_historical_ssp245.nc\r\n - Data file: sncbin_CanESM5_historical_ssp370.nc\r\n - Data file: sncbin_CanESM5_historical_ssp585.nc\r\n - Data file: sncbin_CESM2_historical_ssp126.nc\r\n - Data file: sncbin_CESM2_historical_ssp245.nc\r\n - Data file: sncbin_CESM2_historical_ssp370.nc\r\n - Data file: sncbin_CESM2_historical_ssp585.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp126.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp245.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp370.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp585.nc\r\n - Data file: sncbin_CIESM_historical_ssp126.nc\r\n - Data file: sncbin_CIESM_historical_ssp245.nc\r\n - Data file: sncbin_CIESM_historical_ssp585.nc\r\n - Data file: sncbin_CMCC-CM2-SR5_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp245.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp370.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp585.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp245.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp370.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp585.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp119.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp245.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp370.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp585.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp126.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp245.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp370.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp585.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp126.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp245.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp370.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp585.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp126.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp245.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp370.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp585.nc\r\n - Data file: sncbin_GFDL-CM4_historical_ssp245.nc\r\n - Data file: sncbin_GFDL-CM4_historical_ssp585.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp126.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp245.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp370.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp585.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp119.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp126.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp245.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp370.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp585.nc\r\n - Data file: sncbin_HadGEM3-GC31-LL_historical_ssp126.nc\r\n - Data file: sncbin_HadGEM3-GC31-LL_historical_ssp245.nc\r\n - Data file: sncbin_HadGEM3-GC31-LL_historical_ssp585.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp119.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp126.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp245.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp370.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp585.nc\r\n - Data file: sncbin_MIROC6_historical_ssp119.nc\r\n - Data file: sncbin_MIROC6_historical_ssp126.nc\r\n - Data file: sncbin_MIROC6_historical_ssp245.nc\r\n - Data file: sncbin_MIROC6_historical_ssp370.nc\r\n - Data file: sncbin_MIROC6_historical_ssp585.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp119.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp126.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp245.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp370.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp585.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp126.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp245.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp370.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp585.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp119.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp126.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp245.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp370.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp585.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp126.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp245.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp370.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp585.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp126.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp245.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp370.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp585.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp119.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp126.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp245.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp370.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp585.nc\r\n\r\nIn the linked GitHub repository the filename convention differs slightly from the above, the final underscore is replaced with a '+'. \r\nFor example, 'sncbin_UKESM1-0-LL_historical_ssp585.nc' in the repository is called 'sncbin_UKESM1-0-LL_historical+ssp585.nc' in the GitHub repository.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeonomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels (a) and (b) were plotted using standard Python software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository. Note the difference in filenames mentioned above in the Data provided section.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, snow, snow cover, snow extent",
            "publicationState": "citable",
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            "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).",
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            "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.22 (v20220721)",
            "abstract": "Data for Figure 9.22 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.22 shows simulated versus observed permafrost extent and volume change by warming level. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels in one central directory.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Diagnosed Northern Hemisphere permafrost extent (area with perennially frozen ground at 15 m depth, or at the deepest model soil level if this is above 15 m) for 1979–1998, for available CMIP5 and CMIP6 models, from the first ensemble member of the historical coupled run, and for CMIP6 AMIP (atmosphere+land surface, prescribed ocean) and land-hist (land only, prescribed atmospheric forcing) runs. \r\n\r\n- (b) Simulated global permafrost volume change between the surface and 3 m depth as a function of the simulated global surface air temperature (GSAT) change, from the first ensemble members of a selection of scenarios, for available CMIP6 models. \r\n\r\nEstimates of current permafrost extents based on physical evidence and reanalyses are indicated as black symbols – triangle: Obu et al. (2018); star: Zhang et al. (1999); circle: central value and associated range from Gruber (2012). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.22\r\n \r\n- Data file: pf15m_CMIP5historical_NH_1979-1998.txt\r\n- Data file: pf15m_amip_NH_1979-1998.txt\r\n- Data file: pf15m_historical_NH_1979-1998.txt\r\n- Data file: pf15m_land-hist_NH_1979-1998.txt\r\n- Data file: pfv_ACCESS-CM2_historical_ssp126.nc\r\n- Data file: pfv_ACCESS-CM2_historical_ssp245.nc\r\n- Data file: pfv_ACCESS-CM2_historical_ssp370.nc\r\n- Data file: pfv_ACCESS-CM2_historical_ssp585.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp126.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp245.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp370.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp585.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp126.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp245.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp370.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp585.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp126.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp245.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp370.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp585.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp126.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp245.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp370.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp585.nc\r\n- Data file: pfv_CESM2_historical_ssp126.nc\r\n- Data file: pfv_CESM2_historical_ssp245.nc\r\n- Data file: pfv_CESM2_historical_ssp370.nc\r\n- Data file: pfv_CESM2_historical_ssp585.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp126.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp245.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp370.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp585.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp126.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp245.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp370.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp585.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp126.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp245.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp370.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp585.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp126.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp245.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp370.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp585.nc\r\n- Data file: pfv_CanESM5_historical_ssp126.nc\r\n- Data file: pfv_CanESM5_historical_ssp245.nc\r\n- Data file: pfv_CanESM5_historical_ssp370.nc\r\n- Data file: pfv_CanESM5_historical_ssp585.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp126.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp245.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp370.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp585.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp126.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp245.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp370.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp585.nc\r\n- Data file: pfv_GFDL-CM4_historical_ssp245.nc\r\n- Data file: pfv_GFDL-CM4_historical_ssp585.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp126.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp245.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp370.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp585.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp126.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp245.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp370.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp585.nc\r\n- Data file: pfv_HadGEM3-GC31-LL_historical_ssp126.nc\r\n- Data file: pfv_HadGEM3-GC31-LL_historical_ssp245.nc\r\n- Data file: pfv_HadGEM3-GC31-LL_historical_ssp585.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp126.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp245.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp370.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp585.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp126.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp245.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp370.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp585.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp126.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp245.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp370.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp585.nc\r\n- Data file: pfv_MIROC6_historical_ssp126.nc\r\n- Data file: pfv_MIROC6_historical_ssp245.nc\r\n- Data file: pfv_MIROC6_historical_ssp370.nc\r\n- Data file: pfv_MIROC6_historical_ssp585.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp126.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp245.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp370.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp585.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp126.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp245.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp370.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp585.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp126.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp245.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp370.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp585.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp126.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp245.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp370.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp585.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp126.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp245.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp370.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp585.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp126.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp245.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp370.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp585.nc\r\n\r\nIn the GitHub repository the filenames differ from that listed above, the final underscore is replaced with a '+'.\r\nFor example, ' pfv_ACCESS-CM2_historical_ssp126.nc' in the repository is called ' pfv_ACCESS-CM2_historical+ssp126.nc'\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nAMIP is the Atmospheric Modelling Intercomparison Project.\r\nGSAT stands for Global Surface Air Temperature.\r\nACCESS-CM2 is the Australian Community Climate and Earth System Simulator coupled climate model.\r\nACCESS-ESM1-5 is the Australian Community Climate and Earth System Simulator Earth system model version designed to participate in CMIP6 simulations.\r\nBCC-CSM2-MR is one of the Beijing Climate Center Climate System Models designed for use in CMIP6 simulations.\r\nCAMS-CSM1-0 is the Chinese Academy of Meteorological Sciences Climate System Model version 1.\r\nCESM is the Community Earth System Model. \r\nCESM2-WACCM is the Community System Model - Whole Atmosphere Community Climate Model.\r\nCNRM-CM6-1 is the Centre National de Recherches Météorologiques Climate Model for CMIP6.\r\nCNRM-CM6-1-HR is the Centre National de Recherches Météorologiques Climate Model for CMIP6 - altered Horizontal Resolution.\r\nCNRM-ESM2-1 is the Centre National de Recherches Météorologiques Earth System Model, derived from CNRM-CM6-1.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nCanESM5-CanOE is the Canadian Earth System Model version 5 - Canadian Ocean Ecosystem.\r\nEC-Earth3 is the European Community Earth-system model version 3.\r\nFGOALS-g3 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 3\r\nGFDL-ESM4 is the Geophysical Fluid Dynamics Laboratory - Earth System Model version 4.\r\nGISS-E2-1-G is the Goddard Institute for Space Studies - chemistry-climate model version E2.1, using the GISS Ocean v1 (G01) model.\r\nHadGEM3-GC31-LL is the Met Offfice Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N96/ORCA1.\r\nIPSL-CM6A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP6 - Low Resolution.\r\nKACE-1-0-G is the Korean Advanced Community Earth system model. \r\nMIROC-ES2L is the Model for Interdisciplinary Research on Climate - Earth System version 2 for Long-term simulations.\r\nMIROC6 is the Model for Interdisciplinary Research on Climate - version 6.\r\nMPI-ESM1-2-HR is the Max Planck Institute Earth System Model - version 2 - altered Horizontal Resolution.\r\nMPI-ESM1-2-LR is the Max Planck Institute Earth System Model - version 2 - Low Resolution.\r\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model version 2.0.\r\nNorESM2-LM is the Norwegian Earth System Model version 2 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-MM is the Norwegian Earth System Model version 2 - 1 degree resolution for all model components.\r\nUKESM1-0-LL is the United Kingdom Earth System Modelling project - version 1 - 2 degree resolution for all model components.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe panels were plotted using Python and shell scripts (BASH files) - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the code and output data for this figure, contained in a dedicated GitHub repository.",
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            "abstract": "Data for Box 8.2, figure 1 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nBox 8.2, figure 1 shows projected long-term changes in precipitation seasonality. \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 Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Global simulated 1995–2014 precipitation climatology\r\n - Global maps of projected changes in precipitation seasonality averaged across 31 to 33 CMIP6 models in the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios\r\n \r\n All changes are estimated in 2081–2100 relative to 1995–2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel, except for panel a which has only the first one :\r\n   - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' or 'mean' in the filename\r\n   - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreemeent' or 'slashes' in the filename\r\n \r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation, seasonality, long-term change, scenarios, multi-model",
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            "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.14 (v20220718)",
            "abstract": "Data for Figure 8.14 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.14 shows projected long-term relative changes in seasonal mean precipitation. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global maps of projected relative changes (%) in seasonal mean of precipitation averaged across 29 CMIP6 models in the SSP2-4.5 scenario (2081–2100 relative to the 1995–2014).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel: one for the main field (*pr_means*.nc), which is represented with colors, the other for the confidence information (*pr_agreement-fraction-on-sign*.nc), based on agreement fraction of models about signal change sign, which is represented by diagonal lines as specified by the so called AR6 simple hatching scheme.\r\n \r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation, seasonal, change, long-term, hydrology, water budget, scenario, multi-model",
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            "uuid": "2d67a9f7631247d7bb6130ddc033ba7a",
            "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.15 (v20220718)",
            "abstract": "Data for Figure 8.15 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.15 shows projected long-term relative changes in daily precipitation statistics.\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 Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global data of projected seasonal mean relative changes (%) averaged across CMIP6 models in the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, in:\r\n \r\n - Number of dry days (e.g. days with less than 1 mm of rain)\r\n - Daily precipitation intensity (in mm/ day–1, estimated as the mean daily precipitation amount on wet days – e.g. days with intensity above 1 mm/ day–1)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n   - One for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n   - The other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreement' or 'slashes' in the filename\r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, daily precipitation, change, multi-model, scenario, dry days, long term",
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            "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 8.16 (v20220718)",
            "abstract": "Input Data for Figure 8.16 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.16 shows rate of change in mean and variability across increasing global warming levels. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Input data is provided in one single file. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n A single json file provides in a structured way the data for each graph point. Details are provided under 'notes on reproducing the figure'.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Datafile : 'Fig8-16_data.json'\r\n\r\n The relation between provided data and figure elements is essentially described in field 'List of data' above, 'Notes on reproducing the figure' below,  and in caption.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The figure can be reproduced using the software linked in the Related Documents section of this catalogue record\r\n \r\n For additional details about data description, please refer to 'Fig8-16_input_data.README.txt'\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the the script for generating figure on GitHub\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, precipitation, precipitable water, runoff, change, variability, global warming, tropics, extra-tropics",
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            "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.17 (v20220718)",
            "abstract": "Data for Figure 8.17 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.17 shows projected long-term relative changes in seasonal mean evapotranspiration.\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 Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global data of projected relative changes (%) in seasonal mean of surface evapotranspiration for\r\n - December–January–February (DJF; left panels)\r\n - June–July–August (JJA; right panels)\r\n \r\n The data are averaged across 29 or 30 CMIP6 models for SSP1.2-6, SSP2-4.5, and SSP5-8.5 scenarios. All changes are estimated in 2081–2100 relative to 1995–2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n   - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n   - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreemeent' or 'slashes' in the filename\r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.",
            "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, multi-model, seasonal, mean, evapotranspiration, change, long-term, scenario",
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            "uuid": "6ed1539e8fe84caea089a0d6a7ffcdbd",
            "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.13 (v20220718)",
            "abstract": "Data for Figure 8.13 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.13 shows zonal and annual mean projected long-term changes in the atmospheric water budget.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are 9 sub-panels, with data provided for all panels in one single directory.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains zonal and annual-mean projected long-term changes in the atmospheric water budget in:\r\n \r\n - Modelled global precipitation (CMIP6 simulations, ssp126, ssp245 and ssp585 scenarios, 1650 -2100)\r\n - Modelled global evaporation (CMIP6 simulations, ssp126, ssp245 and ssp585 scenarios, 1650 -2100)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There is one NetCDF file per sub-panel, named by the scenario and variable of the sub-panels: 3 variables (precipitation : 'pr', evaporation : 'evspsbl' and their difference : 'P-E') times 3 scenarios (ssp126, ssp245 and ssp585).\r\n\r\n Each sub-panel NetCDF file has 6 variables. The variable names have suffix:\r\n - mean for multi-model change mean (thick coloured line)\r\n - land_mean for multi-model change mean over land (thick black line),\r\n - pctl5 and pctl95 for multi-model 5 and 95 percentiles (coloured shaded area),\r\n - variab5 and variab95 for 5 and 95 percentiles of the internal variability (grey shaded area).\r\n\r\n As an example Fig8-13_pr_ssp126.nc (precipitation, scenario SSP1-2.6), relates to the upper panel (left).\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis.",
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