Result List

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                "ob_id": 40656,
                "uuid": "68920a29caf44f21be6371d9f87f578b",
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                "title": "MIDAS Open: UK mean wind data, v202308",
                "abstract": "The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2022.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK,  section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."
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                "title": "MIDAS Open: UK hourly weather observation data, v202308",
                "abstract": "The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2022.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data."
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            "dataPath": "/badc/ukmo-midas-open/data/uk-daily-temperature-obs/dataset-version-202308/",
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                "uuid": "220b9b8ffbed43fcbbd323e739118f6c",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily temperature data, v202308",
                "abstract": "The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2022. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection."
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                "title": "MIDAS Open: UK hourly rainfall data, v202308",
                "abstract": "The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2022.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset."
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                "uuid": "1ce37461affc43bbbd78beaaacf5911d",
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                "title": "MIDAS Open: UK daily weather observation data, v202308",
                "abstract": "The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1887 to 2022. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection."
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            "dataPath": "/badc/ukmo-midas-open/data/uk-daily-rain-obs/dataset-version-202308/",
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                "ob_id": 40650,
                "uuid": "3f3809143a224c84962f52757d668f77",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily rainfall data, v202308",
                "abstract": "The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2022. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version (202207) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection."
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            "observation": {
                "ob_id": 40619,
                "uuid": "dc11996a68c446abb342e917efdaac30",
                "short_code": "ob",
                "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology Climate Data Record, version 2.2",
                "abstract": "This v2.2 SST_cci Climatology Data Record (CDR) consists of daily climatological mean sea surface temperature on a global 0.05 degree latitude-longitude grid, derived from the SST CCI analysis data for the period 1982 to 2010 (29 years). This climatology includes the post-hoc dust corrections from Merchant and Embury (2020) https://doi.org/10.3390/rs12162554.\r\n\r\nThe changes from climatology v2.1 are:\r\n* Inclusion of post-hoc dust corrections from Merchant and Embury (2020) reduces biases in affected regions (tropical Atlantic Ocean and the Mediterranean, Red, and Arabian Seas).\r\n* Improved compliance with CF Conventions.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . \r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. (2019) Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223. http://doi.org/10.1038/s41597-019-0236-x"
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                "uuid": "1e6795feceb447c086949952303c0e2e",
                "short_code": "ob",
                "title": "FAAM C341 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft Project project."
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                "uuid": "b3d3ace2c49d41f9ad48db5fa7870c0d",
                "short_code": "ob",
                "title": "FAAM C342 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "title": "FAAM C340 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "title": "FAAM C339 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "short_code": "ob",
                "title": "FAAM C338 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project."
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                "title": "FAAM C337 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project."
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                "title": "FAAM C336 Instrument Test 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 FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project."
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                "title": "FAAM C343 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "uuid": "bf5b48e7cf4a4f959e9f9450dd7c5d2b",
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                "title": "FAAM C344 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "title": "FAAM C345 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "title": "FAAM C347 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
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                "ob_id": 40752,
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                "short_code": "ob",
                "title": "FAAM C348 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
            },
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        {
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            "observation": {
                "ob_id": 40756,
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                "short_code": "ob",
                "title": "FAAM C349 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft project."
            },
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        },
        {
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            "short_code": "result",
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            "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v08.1",
            "numberOfFiles": 11473,
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            "fileFormat": "The data are provided in NetCDF format.",
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            "observation": {
                "ob_id": 40763,
                "uuid": "b0f5fc3a10cf4806ab57326edd8daf65",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 08.1",
                "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v08.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2022-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40788,
            "uuid": "c7f2f2175c4c440ebecafabb2762d75a",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v08.1",
            "numberOfFiles": 16133,
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            "fileFormat": "The data are provided in NetCDF format.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40764,
                "uuid": "16dc7da110324e5196e922191d962157",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 08.1",
                "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v08.1 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2022-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40789,
            "uuid": "474b7d1e1c8f4a41951a35633a90adfb",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v08.1",
            "numberOfFiles": 16133,
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            "fileFormat": "The data are provided in NetCDF format.",
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            "observation": {
                "ob_id": 40765,
                "uuid": "6f99cdb86a9e4d3da2d47c79612c00a2",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 08.1",
                "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v08.1 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2022-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896."
            },
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            "uuid": "331d0d17ecc1419e88e0cffeba8a3b64",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v08.1",
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            "observation": {
                "ob_id": 40766,
                "uuid": "010243ea38f3473a885d2ccd9cfb77ab",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 08.1",
                "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v08.1 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which these data were used to develop are fusions of scatterometer (i.e. active remote sensing) and radiometer (i.e. passive remote sensing) soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896."
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                "ob_id": 40791,
                "uuid": "fef8f8b1e0c5489f9cce7876db079e56",
                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the IFS model at ECMWF",
                "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members produced by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication"
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            "dataPath": "/neodc/iasi_so2_oxford/data/orbit-by-orbit/la_soufriere/v1.0/2021/04",
            "numberOfFiles": 937,
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            "observation": {
                "ob_id": 40760,
                "uuid": "b80870de014a43a498fc2684e78f32af",
                "short_code": "ob",
                "title": "Retrieved sulfur dioxide column amounts and heights from the IASI instrument (9-30 April 2021) v1.0",
                "abstract": "This dataset contains retrievals of sulfur dioxide (SO2) from the Infrared Atmospheric Sounding Interferometer (IASI) on the MetOp platforms. This is a global dataset for 9-30th April 2021 which includes plumes from La Soufrière (St Vincent), Sabancaya (Peru) and Sangay (Ecuador). \r\n\r\nTwo retrieval schemes have been used: (1) Walker et al. (2011,2012) linear retrieval which flags pixels containing SO2 and (2) Carboni et al. (2012,2016) iterative retrieval which quantifies information about the SO2 including the column amount, height and the associated errors. The retrieved outputs are provided for individual IASI orbits. \r\n\r\nThis dataset was used to study the large plume of SO2 from the April 2021 eruption of La Soufrière on St Vincent in the Eastern Caribbean.  \r\n\r\nThe data has been produced by the Earth Observation Data Group at the University of Oxford, as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET)."
            },
            "onlineresource_set": []
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            "short_code": "result",
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            "dataPath": "/bodc/POL150147/POLCOMS_HIGH_FREQUENCY_UV",
            "numberOfFiles": 122,
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            "fileFormat": "Climate and Forecast compliant NetCDFs",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40795,
                "uuid": "0810c3abbaac4f09874d63982e1247b2",
                "short_code": "ob",
                "title": "POLCOMS model run in the Northwest European continental shelf generating current data and sea surface elevation for 10 years from 1999.",
                "abstract": "The dataset consists of depth-averaged eastward and northward current velocities, sea surface heights above mean tidal level, and eastward and northward current induced stresses at the seabed. The dataset is a gridded dataset, with grid resolution of 1/9th x 1/6th degree, i.e. approximately 12 km. It covers the Northwest European continental shelf ranging from 48 to 63 degrees latitude and -12 to 13 degrees longitude. The data are 30 minute averages and cover the period from 01 January 1999 to 31 December 2008. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model run by the National Oceanography Centre (NOC) Liverpool. It was funded by the Aggregate Levy Sustainability Fund (ALSF) under contract MEPF 09-P114 and Natural Environment Research Council (NERC) National Capability (NC) funding. The dataset consists of 120 data files in Climate and Forecast (CF) compliant NetCDF format."
            },
            "onlineresource_set": []
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        {
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            "uuid": "566df99500aa4db1ab5396b7e836a5e1",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/POL150147/WAM_HOURLY_WAVE",
            "numberOfFiles": 122,
            "volume": 127827601202,
            "fileFormat": "Climate and Forecast compliant NetCDFs",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40797,
                "uuid": "910198c065af47518bc6a2522c0ebf73",
                "short_code": "ob",
                "title": "WAM model run in the Northwest European continental shelf generating surface and bottom wave data for 10 years from 1999.",
                "abstract": "The dataset consists of significant wave heights (Hm0), peak and second moment wave periods, sea surface wave directions, friction velocities, bottom orbital peak frequencies, velocities, directions, and periods (second moment). The dataset is a gridded dataset, with grid resolution of 1/9th x 1/6th degree, i.e. approximately 12 km. It covers the Northwest European continental shelf ranging from 48 to 63 degrees latitude and -12 to 13 degrees longitude. The data are 1 hour averages and cover the period from 01 January 1999 to 31 December 2008. The dataset was generated by the Wave Modelling (WAM) model run by the National Oceanography Centre (NOC) Liverpool. It was funded by the Aggregate Levy Sustainability Fund (ALSF) under contract MEPF 09-P114 and Natural Environment Research Council (NERC) National Capability (NC) funding. The dataset consists of 120 data files in Climate and Forecast (CF) compliant NetCDF format."
            },
            "onlineresource_set": []
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            "short_code": "result",
            "curationCategory": "A",
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            "numberOfFiles": 913,
            "volume": 2347814135,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40799,
                "uuid": "bbdcf864f3af407cb651d2b2b84e077e",
                "short_code": "ob",
                "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Altmunster, Austria",
                "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Altmunster, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11254.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities."
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        {
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            "uuid": "a03b9a9a2f9146579bf4524cbd4734b1",
            "short_code": "result",
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            "dataPath": "/bodc/POL130189/POLCOMS_DAILY_TS",
            "numberOfFiles": 43,
            "volume": 215497140120,
            "fileFormat": "Climate Forecast NetCDFs, text",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40803,
                "uuid": "37a05772d207403fb3535695417c0fce",
                "short_code": "ob",
                "title": "POLCOMS model run in the Atlantic margin of the Northwest European continental shelf generating potential temperature, salinity, and sea surface height for 41 years from 1964.",
                "abstract": "The dataset consists of temperature, salinity, and sea surface height data. The dataset is a gridded dataset covering the entire Northwest European continental shelf, extending out into the Atlantic Ocean and includes 40 depth layers. The grid resolution varies from 7.8 km to 14.2 km along the longitudinal axis and is equal to 12.3 km on the latitudinal axis. The data are daily mean values, calculated by averaging over a 25 hour tidal cycle, and cover the period from 01 January 1964 to 31 December 2004. They were produced during a study looking at mult-decadal variability and trends in temperature of the Northwest European continental shelf. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model run by the National Oceanography Centre (NOC) Liverpool as part of Natural Environment Research Council (NERC) National Capability (NC) funding. The model simulations were run on the HECTOR supercomputer managed by the University of Edinburgh. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40804,
            "uuid": "2b25efef06a44f20bfaa53f97aa2f193",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/POL130189/POLCOMS_DAILY_UV",
            "numberOfFiles": 43,
            "volume": 218154036941,
            "fileFormat": "Climate Forecast NetCDF, text",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40805,
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                "title": "POLCOMS model run in the Atlantic margin of the Northwest European continental shelf generating eastward and northward baroclinic and barotropic current vectors for 41 years from 1964.",
                "abstract": "The dataset consists of eastward and northward baroclinic and barotropic current vectors. The dataset is a gridded dataset covering the entire Northwest European continental shelf, extending out into the Atlantic Ocean and includes 40 depth layers. The grid resolution varies from 7.8 km to 14.2 km along the longitudinal axis and is equal to 12.3 km on the latitudinal axis. The data are daily mean averages, calculated by averaging over a 25 hour tidal cycle, and cover the period from 01 January 1964 to 31 December 2004. They were produced during a study looking at mult-decadal variability and trends in temperature of the Northwest European continental shelf. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model run by the National Oceanography Centre (NOC) Liverpool as part of Natural Environment Research Council (NERC) National Capability (NC) funding. The model simulations were run on the HECTOR supercomputer managed by the University of Edinburgh. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format."
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                "short_code": "ob",
                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.13 (v20221004)",
                "abstract": "Data for Figure Atlas.13 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.13 shows changes in annual mean surface air temperature and precipitation from different lines of evidence (CMIP5 and CMIP6). \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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has eight panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, select the region: 'world', area: 'land' or 'landsea' and scatter.seasons: list of months by number e.g. boreal summer (JJA): list(c(12, 1, 2),6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from Github."
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                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.16 (v20221104)",
                "abstract": "Data for Figure Atlas.16 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.16 shows changes in annual mean surface air temperature and precipitation from reference regions in Africa for different lines of evidence (CMIP5, CORDEX 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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twenty-eight panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Africa are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJAS and DJFM stand for June, July, August, September and December, January, February, March respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the 9 regions over Africa in the top right panel of the figure, area: 'land', cordex.domain: 'AFR' and scatter.seasons: list of months by number e.g. JJAS: list(c(12, 1, 2),6:9). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub."
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                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.17 (v20221104)",
                "abstract": "Data for Figure Atlas.17 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.17 shows changes in annual mean surface air temperature and precipitation from reference regions in Asia for different lines of evidence (CMIP5, CORDEX 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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has thirty-one panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Asia are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\nWAS is the CORDEX region for South Asia.\r\nEAS is the CORDEX region for East Asia.\r\nSEA is the CORDEX region for South East Asia.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over Asia in the top panel of the figure, area: 'land', cordex.domain: 'WAS', 'EAS' or 'SEA' depending on panel and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. 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                "abstract": "Data for Figure Atlas.21 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.21 shows changes in annual mean surface air temperature and precipitation from reference regions in Australasia for different lines of evidence (CMIP5, CORDEX and CMIP6).\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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has sixteen panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Australasia are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over Australasia in the top right panel of the figure, area: 'land', cordex.domain: 'AUS' and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub."
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                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.22 (v20221104)",
                "abstract": "Data for Figure Atlas.22 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.22 shows changes in annual mean surface air temperature and precipitation from reference regions in Central America, the Caribbean and South America for different lines of evidence (CMIP5, CORDEX and CMIP6).\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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has thirty-one panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Central America, the Caribbean and South America are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\nCAM is the CORDEX region for Central America.\r\nSAM is the CORDEX region for South America.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions in the top panel of the figure, area: 'land', cordex.domain: 'CAM' or 'SAM' depending on panel and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub."
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                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.24 (v20221104)",
                "abstract": "Data for Figure Atlas.24 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.24 shows changes in annual mean surface air temperature and precipitation from reference regions in Europe for different lines of evidence (CMIP5, CORDEX and CMIP6).\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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has thirteen panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Europe are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over Europe in the top panel of the figure, area: 'land', cordex.domain: 'EUR' and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub."
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                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.26 (v20221104)",
                "abstract": "Data for Figure Atlas.26 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.26 shows changes in annual mean surface air temperature and precipitation from reference regions in North America for different lines of evidence (CMIP5, CORDEX and CMIP6).\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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has nineteen panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over North America are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over North America in the top panel of the figure, area: 'land', cordex.domain: 'NAM' and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub."
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                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.29 (v20221104)",
                "abstract": "Data for Figure Atlas.29 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.29 shows regional changes over land (except for ARO) in annual mean surface air temperature and precipitation relative to the 1995–2014 baseline for the reference regions in Arctic and Antarctica (warming since the 1850–1900 pre-industrial baseline is also provided as an offset).\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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over the Arctic and Antarctica are used for the production of this figure. \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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on 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\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over the Arctic and Antarctica in the top left panel of the figure, area: 'land', cordex.domain: 'ARC' or 'ANT' depending on panel and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub."
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                "abstract": "This dataset consists of daily averages of temperature, salinity, river nitrogen inputs, velocity vectors, nutrient, oxygen, and plankton related carbon and chlorophyll a data as well as monthly averages of carbonate chemistry, including air-sea and pelagic-benthos fluxes, and plankton related carbon, nitrogen, respiration, and primary production data. This is a gridded dataset, covering the Northwest European continental shelf from 40 to 60 degrees latitude and from -19 to 13 degrees longitude, with a horizontal resolution of 7 km and 52 sigma depth levels corresponding to the Atlantic Margin Model 7 km (AMM7) domain. The data cover the period from 1990 to 2099. These outputs are downscaled projections, obtained by running the Nucleus for European Modelling of the Ocean (NEMO) and European Regional Seas Ecosystem Model (ERSEM) coupled physics-biogeochemistry climate model, forced with lateral and atmospheric boundary conditions from the Geophysical Fluid Dynamics Laboratory, GFDL-ESM2G, Earth System Model from the Coupled Model Intercomparison Project collection, CMIP5, running under the RCP8.5 emission scenario. This dataset was generated by the Plymouth Marine Laboratory (PML) and the National Oceanography Centre (NOC), under Natural Environment Research Council (NERC) grant Resolving Climate Impacts on shelf and CoastaL sea Ecosystems, ReCICLE (grant numbers NE/M004120/1 and NE/M003477/2). The simulations were run on the ARCHER supercomputer managed by the University of Edinburgh."
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                "abstract": "This dataset consists of daily averages of temperature, salinity, river nitrogen inputs, velocity vectors, nutrient, oxygen, and plankton related carbon and chlorophyll a data as well as monthly averages of carbonate chemistry, including air-sea and pelagic-benthos fluxes, and plankton related carbon, nitrogen, respiration, and primary production data. This is a gridded dataset, covering the Northwest European continental shelf from 40 to 60 degrees latitude and from -19 to 13 degrees longitude, with a horizontal resolution of 7 km and 52 sigma depth levels corresponding to the Atlantic Margin Model 7 km (AMM7) domain. The data cover the period from 1990 to 2099. These outputs are downscaled projections, obtained by running the Nucleus for European Modelling of the Ocean (NEMO) and European Regional Seas Ecosystem Model (ERSEM) coupled physics-biogeochemistry climate model, forced with lateral and atmospheric boundary conditions from the Institut Pierre-Simon Laplace Coupled Model with mid-resolution, IPSL-CM5A-MR, from the Coupled Model Intercomparison Project collection, CMIP5, running under the RCP8.5 emission scenario. This dataset was generated by the Plymouth Marine Laboratory (PML) and the National Oceanography Centre (NOC), under Natural Environment Research Council (NERC) grant Resolving Climate Impacts on shelf and CoastaL sea Ecosystems, ReCICLE (grant numbers NE/M004120/1 and NE/M003477/2). The simulations were run on the ARCHER supercomputer managed by the University of Edinburgh."
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                "abstract": "This dataset contains LiDAR scanning derived products (raw scanner data, geo-located point clouds, individual 3D tree models) collected over the north-eastern part (200 m x 200 m) of FBRMS-01: Paracou, French Guiana plot 6. The campaign took place from the 10th of October to the 15th of November 2019. Terrestrial LiDAR Scanning (TLS) was conducted on a regular grid with spacing of 10 m with a RIEGL VZ-400 scanner and retro-reflective targets for scan registration. Unpiloted Aerial Vehicle Laser Scanning (UAV-LS) was conducted with a RIEGL Ricopter with VUX-SYS VUX-1UAV system with varying flight heights and flight directions.\r\n\r\nThe TLS point clouds were collected to produce explicit 3D models of individual trees and subsequently estimate their above-ground biomass (AGB). The UAV-LS point clouds were collected to test scanner settings and inspect point clouds properties, in particular with regard to their suitability to model individual trees and their AGB.\r\n\r\nThe campaign was conducted by researchers Benjamin Brede, Harm Bartholomeus and Alvaro Lau of the Laboratory of Geo-Information Science and Remote Sensing of Wageningen University & Research (The Netherlands) with support from Nicolas Barbier of AMAP Lab (Botany and Modeling of Plant Architecture and Vegetation)."
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                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - Anthropogenic Forcing ensemble (Historical / SRESB2)",
                "abstract": "The model simulation contained in this dataset is the all-anthropogenic forcings ensemble with greenhouse gas forcing (multiple species of greenhouse gases including various minor species specified to give SRESB2-like forcing variations); sulphate aerosol direct and indirect forcing (via calibrated delta-albedo); sulfur chemistry without natural DMS and 3D SO2 background emissions, (ie. anthropogenic SO2 emissions surface and high level only); and tropospheric/stratospheric ozone.\r\n \r\n This experiment produced model outputs reflecting the IPCC Special Report Emission Scenario B2 (SRES-B2). The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['aaxzx', 'aaxzl', 'aaxzz', 'abiaa', 'abqza', 'abqzd', 'abiab', 'abqzb', 'abqze', 'abiac', 'abqzc', 'abqzf']\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESB2 emissions scenario; sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions (i.e. anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\nReferences: \r\nJohns, T.C., J.M. Gregory, W.J. Ingram, C.E. Johnson, A. Jones, J.A. Lowe, J.F.B. Mitchell, D.L. Roberts, D.M.H Sexton, D.S Stevenson, S.F.B. Tett, M.J. Woodage (2003) Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios. Climate Dynamics, 20, 583-612.\r\n\r\n Initial conditions: Initialisation for the ensemble was achieved using dump files from previous model runs as follows:\r\n ELEMENT 1: [ run aaxzl - initialised from year 370 of the HadCM3 control run. (i.e. 2361); run aaxzx - initialised from run aaxzl 1849-12-01 ; run aaxzz - initialised from aaxzx 1969-12-01;]\r\n ELEMENT 2: [run abiaa - initialised from run aaxzk 1959-12-01; run abqza - initialised from run abiaa 1959-12-01 ; run abqzd - initialised from run abqza 1974-12-01 ]\r\n ELEMENT 3: [run abiab - initialised from run aaxzk 2059-12-01; run abqzb - initialised from run abiab 1959-12-01 ; run abqze - initialise from run abqzb 1974-12-01 ]\r\n ELEMENT 4: [run abiac - initialised from run aaxzk 2159-12-01; run abqzc - initialised from run abiac 1959-12-01 ; run abqzf - initialised from run abqzc 1974-12-01]\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40891,
            "uuid": "139f9fe04b334e208f158d4dbc2370d3",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_AFHb/",
            "numberOfFiles": 1,
            "volume": 952,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40890,
                "uuid": "4fbb5247fa864210aa0f912f0a10ae0f",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - time varying forcing of major and minor green house gases, anthropogenic sulfur cycle, sulphate aerosols and tropospheric ozone from 1859-2100",
                "abstract": "The AFHb forcings simulation contained in this dataset includes time varying forcing from major and minor greenhouse gases, anthropogenic sulphur cycle with direct plus indirect sulphate aerosol effects, and variations in tropospheric ozone based partly on off-line chemistry calculations from 1859 to 2100. After 1990 the forcing follows the IPCC IS92a emissions scenario.\r\n \r\n This is an \"all-forcings\" experiment designed to investigate the sensitivity of HadCM3 to various forcings, including various minor species specified to give IS92a-like forcing variations); sulphate aerosol direct and indirect forcing (via calibrated delta-albedo); sulfur chemistry without natural DMS and 3D SO2 background emissions, (ie. anthropogenic SO2 emissions surface and high level only) and tropospheric/stratospheric ozone. It is a partner experiment to HadCM3-AFHa which is limited to well mixed green house gas forcings. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: aaxzl\r\n\r\n Boundary conditions: HADCM3 all-anthropogenic forcings experiment with greenhouse gas forcing as for HadCM3-AFHa (multiple species of greenhouse gases including various minor species specified to give IS92a-like forcing variations); sulphate aerosol direct and indirect forcing (via calibrated delta-albedo); sulfur chemistry without natural DMS and 3D SO2 background emissions, (ie. anthropogenic SO2 emissions surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: Initialised from year 370 of the HadCM3 control run. (i.e. 2361).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40894,
            "uuid": "79c8fec096d74547b15368623d59e0e4",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_AGGH/",
            "numberOfFiles": 23667,
            "volume": 349004165484,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40893,
                "uuid": "5922eff47aea4438a1eed4414fd29bb4",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - Anthropogenic Greenhouse Gas Historical [ensemble]",
                "abstract": "The Anthropogenic Greenhouse Gas Historical simulation includes forcing from multiple species of greenhouse gases including various minor species specified to give IS92a-like forcing variations. The experiment was run as a four element ensemble with starting conditions established from the HadCM3 control run at 1859, 1959, 2059 and 2159.\r\n \r\n The Anthropogenic Greenhouse Gas Historical simulation includes forcing from multiple species of greenhouse gases including various minor species specified to give IS92a-like forcing variations. The experiment was run as a four element ensemble with starting conditions established from the HadCM3 control run at 1859, 1959, 2059 and 2159. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['abmba', 'abmbb', 'abmbc', 'abmbd']\r\n\r\n Boundary conditions: Forcing from major and minor greenhouse gas emissions to represent the IS92a emissions scenario.\r\n\r\n Initial conditions: The model is initialised from the control run with a different year for each of the four ensemble elements.\r\n[ABMBA initialised with 1859 conditions from control]\r\n[ABMBB initialised with 1959 conditions from control]\r\n[ABMBC initialised with 2059 conditions from control]\r\n[ABMBD initialised with 2159 conditions from control]\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40897,
            "uuid": "e41223e0246e4d949589ed3b0ad4f965",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_ALL2/",
            "numberOfFiles": 1280,
            "volume": 6431794448,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40896,
                "uuid": "f9ace167a2ba4f608e96f9af8915d7df",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - all natural and anthropogenic forcing experiment (Ensemble element 2).",
                "abstract": "The HadCM3-ALL2 dataset  includes time varying forcing from major and minor greenhouse gases, anthropogenic sulfur cycle with direct and indirect sulphate aerosol effects, and variations in tropospheric and stratospheric ozone based partly on off-line chemistry calculations broadly consistent with the IPCC IS95a emission scenario from 1859 to 2002 as well as changes in total solar irradiance and volcanic aerosol. This dataset is the second ensemble member for the HadCM3-ALL ensemble.\r\n \r\n The HadCM3-ALL experiment was designed to simulate the combined of all natural and anthropogenic forcings supported by the HadCM3 model.The forcings are based upon historical observations as defined in the IPCC IS95a emission scenario. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['acabc', 'acabd', 'acabe', 'acabf', 'acabg', 'acabh', 'acbnk']\r\n\r\n Boundary conditions: The HadCM3-ALL2 simulation includes time varying forcing from major and minor greenhouse gases, anthropogenic sulfur cycle with direct and indirect sulphate aerosol effects, and variations in tropospheric and stratospheric ozone based partly on off-line chemistry calculations broadly consistent with the IPCC IS95a emission scenario from 1859 to 2002 as well as changes in total solar irradiance from Lean, et. al. (1995) and changes in volcanic aerosol from Sato et al. (1993).\r\nReferences: \r\nLean, J., J. Beer, and R. Bradley (1995), Reconstruction of Solar Irradiance Since 1610: Implications for Climate Change. Geophysical Research Letters, 22, 3195-3198.\r\nSato, M., J.E. Hansen, M.P. McCormick, and J.B. Pollack (1995), Stratospheric aerosol optical depths, 1850-1990. Journal of Geophysical Research, 98, 22987-22994.\r\n\r\n\r\n Initial conditions: The second element of the HadCM3-ALL ensemble was initialised with the December 1959 conditions from the HadCM3 control run (HadCM3-ctrl).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40901,
            "uuid": "fbad95260cd44aa28d75eda7f562188a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_ALL4/",
            "numberOfFiles": 2472,
            "volume": 12421853968,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40900,
                "uuid": "beb0d90b8f4c4147b055359970482653",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - all natural and anthropogenic forcing experiment (Ensemble element 4).",
                "abstract": "The HadCM3-ALL4 dataset includes time varying forcing from major and minor greenhouse gases, anthropogenic sulfur cycle with direct and indirect sulphate aerosol effects, and variations in tropospheric and stratospheric ozone based partly on off-line chemistry calculations broadly consistent with the IPCC IS95a emission scenario from 1859 to 2002 as well as changes in total solar irradiance and volcanic aerosol. This dataset is the fourth ensemble member for the HadCM3-ALL ensemble.\r\n \r\n The HadCM3-ALL experiment was designed to simulate the combined of all natural and anthropogenic forcings supported by the HadCM3 model. The forcings are based upon historical observations as defined in the IPCC IS95a emission scenario. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['acbnd', 'acbnd', 'acbnf', 'acbnj']\r\n\r\n Boundary conditions: The HadCM3-ALL4 simulation includes time varying forcing from major and minor greenhouse gases, anthropogenic sulfur cycle with direct and indirect sulphate aerosol effects, and variations in tropospheric and stratospheric ozone based partly on off-line chemistry calculations broadly consistent with the IPCC IS95a emission scenario from 1859 to 2002 as well as changes in total solar irradiance from Lean, et. al. (1995) and changes in volcanic aerosol from Sato et al. (1993).\r\nReferences: \r\nLean, J., J. Beer, and R. Bradley (1995), Reconstruction of Solar Irradiance Since 1610: Implications for Climate Change. Geophysical Research Letters, 22, 3195-3198.\r\nSato, M., J.E. Hansen, M.P. McCormick, and J.B. Pollack (1995), Stratospheric aerosol optical depths, 1850-1990. Journal of Geophysical Research, 98, 22987-22994.\r\n\r\n\r\n Initial conditions: The fourth element of the HadCM3-ALL ensemble was initialised with the December 2159 conditions from the HadCM3 control run (HadCM3-ctrl).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40904,
            "uuid": "66935cc518e047a991c0d9b0d95391ca",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_B1_QUMP/",
            "numberOfFiles": 3310,
            "volume": 180941627318,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40903,
                "uuid": "5a2214ca37d640fd856c63a52e577aa3",
                "short_code": "ob",
                "title": "HadCM3 run generated for the QUMP (Quantifying Uncertainty in Model Predictions) Project using IPCC's SRES B1 future emissions scenario.",
                "abstract": "The simulation output contained in this dataset is part of the 2nd QUMP (Quantifying Uncertainty in Model Predictions) Fully Coupled Transient Ensemble and reflects the IPCC's SRES B1 future emissions scenario. This run is part of a 17 element control ensemble produced by the QUMP project. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: aenwr\r\n\r\n Boundary conditions: Emissions configured to reflect the IPCC SRES B1 scenario.\r\n\r\n Initial conditions: The model is initialised from the previous historical emissions simulation (run: aenwh date: 1999-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40907,
            "uuid": "e65b09f0a05040cdaba11baf53df98bd",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESA1B-2000S/",
            "numberOfFiles": 2401,
            "volume": 80311383359,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40906,
                "uuid": "889d861aa0c44fb3aef671a9d57313df",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-A1B) with trace gases, ozone, sulphur emission and aerosol forcing all held constant at year 2000 levels.",
                "abstract": "The SRESA1B-2000S simulation is a parallel simulation to the standard SRESA1B simulation, but in this case the forcings of green house gases (including methane), sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2000 levels throughout the simulation.\r\n \r\n This experiment produced model outputs reflecting the SRES-A2 emissions scenario . The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: acfxg\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA1B emissions scenario, sulfur direct and indirect forcing (sulfur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2000 levels throughout the simulation.\r\n\r\n Initial conditions: This experiment was initialised using one of the HadCM3 Historic Anthropogenic Forcing run ensemble elements (run: abqzd - 1999-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40917,
            "uuid": "af602ea24ce341d98ebe56f1917e004f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_HIST2_QUMP/",
            "numberOfFiles": 1325,
            "volume": 72378035107,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40916,
                "uuid": "0c412a84a18945d29e708f8f55edab80",
                "short_code": "ob",
                "title": "HadCM3 historical emissions simulation generated for the QUMP (Quantifying Uncertainty in Model Predictions) Project.",
                "abstract": "The historical emissions simulation contained in this dataset includes time varying (1949-1989) forcing from major and minor greenhouse gases, anthropogenic sulphur cycle with direct plus indirect sulphate aerosol effects, and variations in tropospheric ozone based partly on off-line chemistry calculations. It forms part of the second QUMP (Quantifying Uncertainty in Model Predictions) fully coupled transient ensemble. A previous simulation covered the period 1859-1949 (HadCM3-HIST1-QUMP).\r\n \r\n The simulation data contained in this dataset is part of the 2nd QUMP (Quantifying Uncertainty in Model Predictions) Fully Coupled Transient Ensemble. It uses boundary conditions representing historical emissions covering the latter part of the 20th century. This run is part of a 17 element historical emissions ensemble produced by the Hadley Centre QUMP project. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: aenwh\r\n\r\n Boundary conditions: HadCM3 all-anthropogenic forcings experiment with multiple species of greenhouse gases including various minor species); sulphate aerosol direct and indirect forcing; sulfur chemistry with natural DMS and 3D SO2 background emissions, and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: The model is initialised directly from the previous QUMP historical emissions simulation covering the period 1859-1949 (run: aenwg date: 1949-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format.\r\n\r\n\r\nList of climate variables:\r\nSTREAMFUNCTION (OCEAN) CM3/S\r\nHSNOW: AGGREGATE LOCAL SNOW DEPTH M\r\nAICE: AGGREGATE ICE CONCENTRATION\r\nHICE: AGGREGATE GBM ICE DEPTH M\r\nU WIND ON PRESSURE LEVELS B GRID\r\nV WIND ON PRESSURE LEVELS B GRID\r\nGEOPOTENTIAL HEIGHT: PRESSURE LEVELS\r\nTEMPERATURE ON PRESSURE LEVELS\r\nPRESSURE AT MEAN SEA LEVEL\r\nU COMPNT OF WIND AFTER TIMESTEP\r\nV COMPNT OF WIND AFTER TIMESTEP\r\nTHETA AFTER TIMESTEP\r\nSPECIFIC HUMIDITY AFTER TIMESTEP\r\nCONV CLOUD AMOUNT AFTER TIMESTEP\r\nCONV CLOUD LIQUID WATER PATH\r\nSNOW AMOUNT OVER LAND AFT TSTP KG/M2\r\nSURFACE TEMPERATURE AFTER TIMESTEP\r\nBOUNDARY LAYER DEPTH AFTER TIMESTEP\r\nSURFACE ZONAL CURRENT AFTER TIMESTEP\r\nSURFACE MERID CURRENT AFTER TIMESTEP\r\nFRAC OF SEA ICE IN SEA AFTER TSTEP\r\nSEA ICE DEPTH (MEAN OVER ICE) M\r\nDIMETHYL SULPHIDE EMISSIONS\r\nSO2 MASS MIXING RATIO AFTER TSTEP\r\nPOTENTIAL TEMPERATURE (OCEAN) DEG.C\r\nDIMETHYL SULPHIDE MIX RAT AFTER TS\r\nSALINITY (OCEAN) (PSU-35)/1000\r\nSO4 AITKEN MODE AEROSOL AFTER TSTEP\r\nSO4 ACCUM. MODE AEROSOL AFTER TSTEP\r\nSO4 DISSOLVED AEROSOL AFTER TSTEP\r\nBAROCLINIC U_VELOCITY (OCEAN) CM/S\r\nBAROCLINIC V_VELOCITY (OCEAN) CM/S\r\nSTREAMFUNCTION (OCEAN) CM3/S\r\nSTREAMFN TENDENCY (OCEAN) CM3/S/TS\r\nMIXED LAYER DEPTH (OCEAN) M\r\nHSNOW: AGGREGATE LOCAL SNOW DEPTH M\r\nGBM CARYHEAT MISC HEAT FLX(ICE) W/M2\r\nGBM HEAT FLUX:OCEAN TO ICE(OCN) W/M2\r\nRATE OF SALINITY CHANGE (ICE) PSU/S\r\nAICE: AGGREGATE ICE CONCENTRATION\r\nHICE: AGGREGATE GBM ICE DEPTH M\r\nTAUX: X_WINDSTRESS N/M2 A\r\nTAUY: Y_WINDSTRESS N/M2 A\r\nWME: WIND MIXING ENERGY FLUX W/M2 A\r\nSOL: PEN.SOLAR*LF INTO OCEAN W/M2 A\r\nHTN:NONPEN.HT.FLX*LF INTO OCN W/M2 A\r\nPLE:PRECIP-EVAP INTO OCEAN KG/M2/S A\r\nRIVER OUTFLOW INTO OCEAN KG/M2/S A\r\nSNOWFALL INTO OCN/ONTO ICE KG/M2/S A\r\nSUBLIMATION FROM SEAICE KG/M2/S A\r\nP-E FLUX CORRECTION KG/M2/S A\r\nTOPMELT: GBM SEAICE HEAT FLUX W/M2 A\r\nBOTMELT: GBM SEAICE HEAT FLUX W/M2 A\r\nTHICKNESS DIFF COEFF (OCEAN) CM2/S\r\nNET DOWN SURFACE SW FLUX: SW TS ONLY\r\nNET DN SW RAD FLUX:OPEN SEA:SEA MEAN\r\nNET DOWN SURFACE SW FLUX BELOW 690NM\r\nINCOMING SW RAD FLUX (TOA): ALL TSS\r\nOUTGOING SW RAD FLUX (TOA)\r\nCLEAR-SKY (II) UPWARD SW FLUX (TOA)\r\nCLEAR-SKY (II) DOWN SURFACE SW FLUX\r\nCLEAR-SKY (II) UP SURFACE SW FLUX\r\nLAYER CLD LIQ RE * LAYER CLD WEIGHT\r\nLAYER CLOUD WEIGHT FOR MICROPHYSICS\r\nLAYER CLD LIQUID WATER PATH * WEIGHT\r\nCONV CLOUD LIQ RE * CONV CLD WEIGHT\r\nCONV CLOUD WEIGHT FOR MICROPHYSICS\r\nSW HEATING RATES: ALL TIMESTEPS\r\nCLEAR-SKY SW HEATING RATES\r\nTOTAL DOWNWARD SURFACE SW FLUX\r\nNET DOWNWARD SW FLUX AT THE TROP.\r\nUPWARD SW FLUX AT THE TROP.\r\nDROPLET NUMBER CONC * LYR CLOUD WGT\r\nLAYER CLOUD LWC * LAYER CLOUD WEIGHT\r\nSO4 CCN KG/M3 * COND SAMPLING WEIGHT\r\nCONDITIONAL SAMPLING WEIGHT\r\n2-D RE DISTRIBUTION * 2-D RE WEIGHT\r\nWEIGHT FOR 2-D RE DISTRIBUTION\r\nWEIGHTED SW CLOUD EXTINCTION\r\nWEIGHTS FOR CLOUD SW EXTINCTION\r\nWEIGHTED SW LAYER CLOUD EXTINCTION\r\nWEIGHTS FOR LAYER CLD SW EXTINCTION\r\nNET DOWN SURFACE LW RAD FLUX\r\nNET DN LW RAD FLUX:OPEN SEA:SEA MEAN\r\nTOTAL CLOUD AMOUNT IN LW RADIATION\r\nOUTGOING LW RAD FLUX (TOA)\r\nCLEAR-SKY (II) UPWARD LW FLUX (TOA)\r\nDOWNWARD LW RAD FLUX: SURFACE\r\nCLEAR-SKY (II) DOWN SURFACE LW FLUX\r\nLW HEATING RATES\r\nCLEAR-SKY LW HEATING RATES\r\nNET DOWNWARD LW FLUX AT THE TROP.\r\nTOTAL DOWNWARD LW FLUX AT THE TROP.\r\nTOTAL CLOUD AMOUNT ON LEVELS\r\nWEIGHTED CLOUD ABSORPTIVITY\r\nWEIGHTS FOR CLOUD ABSORPTIVITY\r\nWEIGHTED LAYER CLOUD ABSORPTIVITY\r\nWEIGHTS FOR LAYER CLD ABSORPTIVITY\r\nISCCP CLOUD WEIGHTS\r\nISCCP CLOUD 0.3 <= tau\r\nISCCP CLOUD tau < 0.3\r\nISCCP CLOUD 0.3 <= tau < 1.3\r\nISCCP CLOUD 1.3 <= tau < 3.6\r\nISCCP CLOUD 3.6 <= tau < 9.4\r\nISCCP CLOUD 9.4 <= tau < 23.0\r\nISCCP CLOUD 23.0 <= tau < 60.0\r\nISCCP CLOUD 60.0 <= tau\r\nHT FLUX THROUGH SEAICE:SEA MEAN W/M2\r\nHT FLUX FROM SURF TO DEEP SOIL LEV 1\r\nSURFACE HEAT FLUX W/M2\r\nX-COMP OF SURF & BL WIND STRESS N/M2\r\nY-COMP OF SURF & BL WIND STRESS N/M2\r\nSURFACE TOTAL MOISTURE FLUX KG/M2/S\r\nWIND MIX EN'GY FL TO SEA:SEA MN W/M2\r\n10 METRE WIND U-COMP B GRID\r\n10 METRE WIND V-COMP B GRID\r\nSFC SH FLX FROM OPEN SEA:SEA MN W/M2\r\nEVAP FROM SOIL SURF -AMOUNT KG/M2/TS\r\nSUBLIM. FROM SURFACE (GBM) KG/M2/TS\r\nEVAP FROM OPEN SEA: SEA MEAN KG/M2/S\r\nSURFACE LATENT HEAT FLUX W/M2\r\nSEAICE TOP MELT LH FLX:SEA MEAN W/M2\r\nTEMPERATURE AT 1.5M\r\nSPECIFIC HUMIDITY AT 1.5M\r\nDEEP SOIL TEMPERATURE AFTER B.LAYER\r\nRELATIVE HUMIDITY AT 1.5M\r\nSURFACE SNOWMELT HEAT FLUX W/M2\r\nCANOPY CONDUCTANCE M/S\r\nGROSS PRIMARY PRODUCTIVITY KG C/M2/S\r\nNET PRIMARY PRODUCTIVITY KG C/M2/S\r\nPLANT RESPIRATION KG/M2/S\r\nSO2 SURFACE DRY DEP FLUX KG/M2/S\r\nSO4 AIT SURF DRY DEP FLUX KG/M2/S\r\nSO4 ACC SURF DRY DEP FLUX KG/M2/S\r\nSO4 DIS SURF DRY DEP FLUX KG/M2/S\r\nSURFACE NET RADIATION ON TILES\r\nLARGE SCALE RAINFALL RATE KG/M2/S\r\nLARGE SCALE SNOWFALL RATE KG/M2/S\r\nSO2 SCAVENGED BY LS PPN KG/M2/S\r\nSO4 DIS SCAVNGD BY LS PPN KG/M2/S\r\nCONVECTIVE RAINFALL RATE KG/M2/S\r\nCONVECTIVE SNOWFALL RATE KG/M2/S\r\nPRESSURE AT CONVECTIVE CLOUD BASE\r\nPRESSURE AT CONVECTIVE CLOUD TOP\r\nCONV. CLOUD AMOUNT ON EACH MODEL LEV\r\nTOTAL RAINFALL RATE: LS+CONV KG/M2/S\r\nTOTAL SNOWFALL RATE: LS+CONV KG/M2/S\r\nTOTAL PRECIPITATION RATE KG/M2/S\r\nSO2 SCAVENGED BY CONV PPN KG/M2/SEC\r\nSO4 AIT SCAVNGD BY CONV PPN KG/M2/S\r\nSO4 ACC SCAVNGD BY CONV PPN KG/M2/S\r\nSO4 DIS SCAVNGD BY CONV PPN KG/M2/S\r\nX COMPONENT OF GRAVITY WAVE STRESS\r\nY COMPONENT OF GRAVITY WAVE STRESS\r\nSTANDARD DEVIATION OF OROGRAPHY\r\nSNOW MASS AFTER HYDROLOGY KG/M2\r\nLAND SNOW MELT AMOUNT KG/M2/TS\r\nLAND SNOW MELT HEAT FLUX W/M2\r\nSFC RUNOFF AMOUNT:LAND MEAN KG/M2/TS\r\nSUB-SFC RUNOFF AMT:LAND MN KG/M2/TS\r\nSOIL MOISTURE CONTENT\r\nCANOPY WATER CONTENT\r\nSOIL MOISTURE CONTENT IN A LAYER\r\nDEEP SOIL TEMP. AFTER HYDROLOGY DEGK\r\nUNFROZEN SOIL MOISTURE FRACTION\r\nFROZEN SOIL MOISTURE FRACTION\r\nLAND SNOW MELT RATE KG/M2/S\r\nSURFACE RUNOFF RATE KG/M2/S\r\nSUB-SURFACE RUNOFF RATE KG/M2/S\r\nBULK CLOUD AMOUNT AFTER MAIN CLOUD\r\nCLOUD LIQUID WATER AFTER MAIN CLOUD\r\nCLOUD ICE CONTENT AFTER DYNAM CLOUD\r\nTOTAL CLOUD AMOUNT MAX/RANDOM OVERLP\r\nATMOS ENERGY CORR'N IN COLUMN W/M2\r\nU WIND ON PRESSURE LEVELS B GRID\r\nV WIND ON PRESSURE LEVELS B GRID\r\nTHETA ON PV=+/-2 SURFACE\r\nTHETA AT PV POINTS\r\nPV ON MODEL LEVELS(CALC PV)\r\nGEOPOTENTIAL HEIGHT: PRESSURE LEVELS\r\nTEMPERATURE ON PRESSURE LEVELS\r\nRELATIVE HUMIDITY WRT ICE ON P LVS\r\nPRESSURE AT MEAN SEA LEVEL\r\nMSA MASS MIXING RATIO FLUX KG/KG/S\r\nVERT.VEL. ON OCEAN HALF LEVELS CM/S\r\nGBM HTN INTO OCEAN BUDGET W/M**2\r\nSNOWRATE WHERE NO ICE KG M**-2 S**-1\r\nCARYHEAT AFTER ROW CALCULATION W/M2\r\nMEAD DIAGNOSTICS: TEMPERATURE W\r\nMEAD DIAGNOSTICS: SALINITY KG/S\r\nBAROCLINIC X-ACCN (ZUN) CM/S**2\r\nBAROCLINIC Y-ACCN (ZVN) CM/S**2\r\nANOM. HEAT \"SINK\" AT OCN FLOOR W/M2\r\nWATER_FLUX*SALINITY/DENSITY m Gs**-1\r\nGM EDDY U VELOCITY (OCEAN)\r\nGM EDDY V VELOCITY (N FACE) (OCEAN)\r\nGM EDDY W VEL (TOP FACE) (OCEAN)\r\nDTHETA/DT FROM G&MCW SCHEME K/Gs\r\nTOTAL OCEAN U-VELOCITY CM S**-1\r\nTOTAL OCEAN V-VELOCITY CM S**-1\r\nDS/DT FROM G&MCW SCHEME Gs**-1\r\nAICE INC. DUE TO ADVECTION FRACT/TS\r\nHICE INC. DUE TO ADV (& DIFF) M/TS\r\nGBM SNOWDEPTH INC ADVECTION M/TS\r\nHICE INC. DUE TO DIFFUSION M/TS\r\nU COMPONENT OF ICE VELOCITY (M.S-1)\r\nV COMPONENT OF ICE VELOCITY (M.S-1)\r\nAICE INC. (THERMODYNAMIC) FRACT/TS\r\nHICE INC. (THERMODYNAMIC) M/TS\r\nGBM SNOWDEPTH THERMODYNAMIC INC M/TS\r\nGBM HTN INTO ICE BUDGET W/M**2\r\nSNOWRATE WHERE ICY KG M**-2 S**-1\r\nGBM HTN INTO OCN WHERE ICY W/M**2\r\nGBM SNOWDEPTH ON SEA-ICE M\r\nSURFACE HEAT FLUX W/M2\r\nX-COMP OF SURF & BL WIND STRESS N/M2\r\nY-COMP OF SURF & BL WIND STRESS N/M2\r\nSURFACE TOTAL MOISTURE FLUX KG/M2/S\r\nSPECIFIC HUMIDITY AFTER TIMESTEP\r\nSO2 MASS MIXING RATIO AFTER TSTEP\r\nDIMETHYL SULPHIDE MIX RAT AFTER TS\r\nSO4 AITKEN MODE AEROSOL AFTER TSTEP\r\nSO4 ACCUM. MODE AEROSOL AFTER TSTEP\r\nSO4 DISSOLVED AEROSOL AFTER TSTEP\r\nCLOUD LIQUID WATER AFTER MAIN CLOUD\r\nCLOUD ICE CONTENT AFTER DYNAM CLOUD\r\nIndicator of local q diffusion\r\nTOTAL PRECIPITATION RATE KG/M2/S"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40920,
            "uuid": "00e9f1da2b854f0d8a3bc68cbb1004f8",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_NFVScorr/",
            "numberOfFiles": 19869,
            "volume": 310618917476,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40919,
                "uuid": "e30cf3f748a640d4951de27bc39229cc",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - volcanic and solar forcing [ensemble] - corrected version.",
                "abstract": "The Natural Forcing (Volcanic and Solar) simulation contained in this dataset copied the control run (HadCM3-ctrl) with the addition of natural forcing from volcanic and solar sources. This dataset is the corrected version of this experiment - a previous run (HadCM3-NFVSorig) had incorrectly introduced the volcanic aerosol and solar radiation spectrum.\r\n \r\n The Natural Forcing (Volcanic and Solar) simulation contained in this dataset copied the control run (HadCM3-ctrl) with the addition of natural forcing from volcanic and solar sources. This dataset is the corrected version of this experiment - a previous run (HadCM3-NFVSorig) had incorrectly introduced the volcanic aerosol and solar radiation spectrum. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['abvwa', 'abvwb', 'abvwc', 'abvwd']\r\n\r\n Boundary conditions: Essentially a repeat of the HadCM3 control run but including natural forcings from volcano and solar sources. The volcanic forcing data are taken from Sato et al. (1993) reconstruction of stratospheric volcanic aerosol optical depth at .55 microns. The solar forcing data was taken from the reconstruction of Lean et al. (1995).\r\nReferences: \r\nSato, M., J.E. Hansen, M.P. McCormick, and J.B. Pollack (1993) Stratospheric aerosol optical depth, 1850-1990. Journal of Geophysical Research, 98, 22987-22994..\r\nLean, J., J. Beer, and R. Bradley (1995), Reconstruction of Solar Irradiance Since 1610: Implications for Climate Change. Geophysical Research Letters, 22, 3195-3198.\r\n\r\n\r\n Initial conditions: The model is initialised from the control run with a different year for each of the four ensemble elements.\r\n[ABVWA initialised with 1859 conditions from control]\r\n[ABVWB initialised with 1959 conditions from control]\r\n[ABVWC initialised with 2059 conditions from control]\r\n[ABVWD initialised with 2159 conditions from control]\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40923,
            "uuid": "f0c102e5a21f40f998ec539cceabf9a1",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_NFVSorig/",
            "numberOfFiles": 6621,
            "volume": 107305911130,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40922,
                "uuid": "076000199f64426bb6ad259925067b29",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - volcanic and solar forcing [ensemble] - original version with incorrect forcing.",
                "abstract": "The Natural Forcing (Volcanic and Solar) simulation contained in this dataset copied the control run (HadCM3-ctrl) with the addition of natural forcing from volcanic and solar sources. This dataset is the original version of this experiment that incorrectly introduced the volcanic aerosol and solar radiation spectrum - a subsequent run (HadCM3-NFVScorr) corrected the error.\r\n \r\n The Natural Forcing (Volcanic and Solar) simulation contained in this dataset copied the control run (HadCM3-ctrl) with the addition of natural forcing from volcanic and solar sources. This dataset is the original version of this experiment that incorrectly introduced the volcanic aerosol and solar radiation spectrum - a subsequent run (HadCM3-NFVScorr) corrected the error. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['abicd', 'abice', 'abicf', 'abicg']\r\n\r\n Boundary conditions: Essentially a repeat of the HadCM3 control run but including natural forcings from volcano and solar sources. The volcanic forcing data are taken from Sato et al. (1993) reconstruction of stratospheric volcanic aerosol optical depth at .55 microns. The solar forcing data was taken from the reconstruction of Lean et al. (1995).\r\nReferences: \r\nSato, M., J.E. Hansen, M.P. McCormick, and J.B. Pollack (1993) Stratospheric aerosol optical depth, 1850-1990. Journal of Geophysical Research, 98, 22987-22994..\r\nLean, J., J. Beer, and R. Bradley (1995), Reconstruction of Solar Irradiance Since 1610: Implications for Climate Change. Geophysical Research Letters, 22, 3195-3198.\r\n\r\n\r\n Initial conditions: The model is initialised from the control run with a different year for each of the four ensemble elements.\r\n[ABICD initialised with 1859 conditions from control]\r\n[ABICE initialised with 1959 conditions from control]\r\n[ABICF initialised with 2059 conditions from control]\r\n[ABICG initialised with 2159 conditions from control]\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40927,
            "uuid": "75b9e5d4c6d24bc795d22a3492bf84aa",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESA1B-2100S/",
            "numberOfFiles": 2399,
            "volume": 80244457207,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40926,
                "uuid": "20cadd18b7da4f07b2a83a56bb660786",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-A1B) with trace gases, ozone, sulphur emission and aerosol forcing all held constant at year 2100 levels.",
                "abstract": "The SRESA1B-2100S simulation is a parallel simulation to the standard SRESA1B simulation, but in this case the forcings of green house gases (including methane), sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2100 levels throughout the simulation (2100 - 2199).\r\n \r\n This experiment produced model outputs reflecting a stabilisation of the SRESA1B emissions scenario at 2100 levels. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: acfxh\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA1B emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2100 levels throughout the simulation (2100 - 2199).\r\n\r\n Initial conditions: This experiment was initialised using the HadCM3 SRESA1B simulation (run: acfxd - 2099-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40930,
            "uuid": "54f79a3208b245659ebdde7a6ceb56f4",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESA1B/",
            "numberOfFiles": 2401,
            "volume": 80311383258,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40929,
                "uuid": "eeb7e2c023874f8ab8e3747b493045e7",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-A1B)",
                "abstract": "The SRESA1B simulation contained in this dataset includes forcings of green house gases (including methane) that are consistent with historical levels and the future IPCC SRESA1B scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n \r\n This experiment produced model outputs reflecting the SRES-A1B emissions scenario . The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: acfxd\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA1B emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: Experiment was initialised using one of the HadCM3 Historic Anthropogenic Forcing run ensemble elements (run: abqzd - 1999-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40933,
            "uuid": "96bdc51b3c694f06b8b6df286eba96c6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESA1F1-2100S/",
            "numberOfFiles": 2400,
            "volume": 82698978058,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40932,
                "uuid": "8d27d5763890408d8acfbccd15d96e56",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario SRES-A1F1 with trace gases, ozone, sulphur emission and aerosol forcing held constant at year 2100 levels.",
                "abstract": "The SRESA1F1-2100S simulation is a parallel simulation to the standard SRESA1F1 simulation, but in this case the forcings of green house gases (including methane), sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2100 levels throughout the simulation period (2100 - 2199).\r\n \r\n This experiment produced model outputs reflecting a stabilisation of the SRESA1F1 emissions scenario at 2100 - the highest emissions of all the SRES scenarios. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: acfxi\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA1F1 emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2100 levels throughout the simulation (2100 - 2199).\r\n\r\n Initial conditions: This experiment was initialised using the HadCM3 SRESA1F1 simulation (run: acjie - 2099-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40936,
            "uuid": "57d8e14653624b7f95d3c51a0c500045",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESA1F1/",
            "numberOfFiles": 5192,
            "volume": 89672213108,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40935,
                "uuid": "73fea2ba3a364f2f880c57b02efcfaba",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario  (SRES-A1F1)",
                "abstract": "The SRESA1F1 simulation contained in this dataset includes forcings of green house gases (including methane) that are consistent with historical levels and the future IPCC SRESA1F1 scenario, sulfur (direct and indirect forcing, sulfur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone. The IPCC SRESA1F1 simulation represents the highest emissions for the IPCC SRES scenarios.\r\n \r\n This experiment produced model outputs reflecting the SRES-A1F1 emissions scenario - the highest emissions of all the SRES scenarios. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['acfxa', 'acjid', 'acjie']\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA1F1 emissions scenario, sulfur (direct and indirect forcing, sulfur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: Experiment was initialised using one of the HadCM3 Historic Anthropogenic Forcing run ensemble elements (run: abqzd - 1989-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40939,
            "uuid": "982e8d861b494c1ca6c78cfdf320f46c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESA2/",
            "numberOfFiles": 11998,
            "volume": 200660562423,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [
                {
                    "ob_id": 3797,
                    "uuid": "6e77539d252b44719bfb88fa98b792ae",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                }
            ],
            "observation": {
                "ob_id": 40938,
                "uuid": "fc6902375273486ba8f15c1de5749700",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-A2) ensemble",
                "abstract": "The SRESA2 simulation contained in this dataset includes forcings of green house gases (including methane) that are consistent with historical levels and the future IPCC SRESA2 scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n \r\n This experiment produced model outputs reflecting the SRES-A2 emissions scenario . The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['aaxzi', 'abwad', 'abwae']\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA2 emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: All initialisation runs are from the historic anthropogenic forcing ensemble runs of HadCM3.  Element 1 (run: aaxzi) used run: aaxzz (date - 1989-12-01) for initialisation. Element 2 (run: abwad) used run: abqzd (date - 1989-12-01) for initialisation. Element 3 (run: abwae) used run: abqzd (date - 1989-12-01) for initialisation.\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40942,
            "uuid": "1926b6877ec54ccfb318e64ea41160b6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESB1-2100S/",
            "numberOfFiles": 2402,
            "volume": 80330140070,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40941,
                "uuid": "dcbf69b5229847d7aeb189f36ba530cf",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-B1) with trace gases, ozone, sulphur emission and aerosol forcing all held constant at year 2100 levels.",
                "abstract": "The SRESB1-2100S simulation is a parallel simulation to the standard SRESB1 simulation, but in this case the forcings of green house gases (including methane), sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2100 levels throughout the simulation (2100 - 2199).\r\n \r\n This experiment produced model outputs reflecting a stabilisation of the SRESB1 emissions scenario at 2100. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: acfxf\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESB1 emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone are held constant at year 2100 levels throughout the simulation (2100 - 2199).\r\n\r\n Initial conditions: This experiment was initialised using the HadCM3 SRESB1 simulation (run: acfxc - 2099-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40945,
            "uuid": "e8a2a73cddaa4f808436bc740677f277",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESB1/",
            "numberOfFiles": 3994,
            "volume": 68939140369,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40944,
                "uuid": "3e10f6853d834453bd084dd103195a91",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-B1)",
                "abstract": "The SRESB1 simulation contained in this dataset includes forcings of green house gases (including methane) that are consistent with historical levels and the future IPCC SRESB1 scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone. The SRESB1 scenario represents the lowest green house gas concentrations of the six SRES scenarios.\r\n \r\n This experiment produced model outputs reflecting the SRES-B1 emissions scenario - the lowest green house gas concentrations of the six SRES scenarios. The experiment was restarted at 2014-11-01 to resolve an error in the forcings. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: acfxc\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESB1 emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: Experiment was initialised using one of the HadCM3 Historic Anthropogenic Forcing run ensemble elements (run: abqzd - 1989-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40948,
            "uuid": "80462de49f0d4449a9d129e5935bab5a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_SRESB2/",
            "numberOfFiles": 3999,
            "volume": 69124970033,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40947,
                "uuid": "49e679b0ea5340578bdfa5e985817b69",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-B2)",
                "abstract": "The SRESB2 ensemble simulation contained in this dataset includes forcings of green house gases (including methane) that are consistent with historical levels and the future IPCC SRESB2 scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n \r\n This experiment produced model outputs reflecting the SRES-B2 emissions scenario . The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['aaxzx', 'aaxzz', 'abwaa']\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESB2 emissions scenario, sulfur (direct and indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: Element 1 (run: aaxzz) used run: aaxzx (date - 1969-12-01) for initialisation. Element 2 (run: abwaa) used run: abqzd (date - 1989-12-01) for initialisation. Both initialisation runs are from the historic anthropogenic forcing ensemble runs of HadCM3.\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40951,
            "uuid": "df776249693e4a8eb754d9f082dd8ba2",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_THC/",
            "numberOfFiles": 9625,
            "volume": 271680429193,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40950,
                "uuid": "0240963d5ca74580821af97b30a67c7f",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - suppressed thermohaline circulation experiment.",
                "abstract": "The Thermohaline Circulation simulation dataset was produced to investigate the response of the HadCM3 model to a suppression of the thermohaline circulation in the Atlantic Ocean. The suppression was induced by a strong initial perturbation to the salinity distribution in the upper layer of the northern North Atlantic. The model was then allowed to adjust freely.\r\n \r\n The Thermohaline Circulation simulation data contained in this dataset were used to investigate the response of HadCM3 to a significant increase in the freshwater influx to the ocean thus weaking the thermohaline circulation. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: abpsp\r\n\r\n Boundary conditions: Fixed forcing representative of late nineteenth century conditions as per the HadCM3 control run.\r\nReferences: \r\nVellinga, M., R.A. Wood and J.M. Gregory (2002) Processes governing the recovery of a perturbed thermohaline circulation in HadCM3. Journal of Climate, Vol 15, 764-780.\r\nJohns, T.C., J.M. Gregory, W.J. Ingram, C.E. Johnson, A. Jones, J.A. Lowe, J.F.B. Mitchell, D.L. Roberts, D.M.H Sexton, D.S Stevenson, S.F.B. Tett, M.J. Woodage (2003) Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios. Climate Dynamics, pp583-612.\r\n\r\n\r\n Initial conditions: The model was initialised using the conditions from 1991 of the HadCM3 control run. These conditions were perturbed by producing a weakened thermohaline circulation in the model. This was achieved by replacing the salinity field in the top 800m of the northern North Atlantic [(50-90 degrees N) x (80 degrees W to 20 degrees E)] with a vertical profile that is much fresher and has a deeper pycnocline. On average the water in the area of the perturbation is made 2 PSU fresher. Assuming a reference salinity of 35 PSU, the area would have to receive a freshwater pulse of about 16 Sv yr to experience this freshening. Conservation of salt was assured by globally redistributing the salt taken out of the North Atlantic, increasing salinity everywhere by about 0.01 PSU. The model was allowed to adjust freely to the new salinity field.\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40954,
            "uuid": "3eb5b56301464147be38b9a245fc9029",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_ctrl/",
            "numberOfFiles": 31196,
            "volume": 857996483009,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [
                {
                    "ob_id": 3793,
                    "uuid": "444254db693947f7a1dafa50a7f4691f",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                },
                {
                    "ob_id": 3803,
                    "uuid": "523d4d22035c4593a6e6072df6ce0990",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                }
            ],
            "observation": {
                "ob_id": 40953,
                "uuid": "75d3d4e546484dd193df5ee172d4520f",
                "short_code": "ob",
                "title": "Control run for the HadCM3 model",
                "abstract": "The Control Run simulation contained in this dataset was used to initialise transient coupled HadCM3 simulations using a variety of emission scenarios. It uses fixed forcing representative of late nineteenth century atmospheric conditions. The control run was initialised and spun up as defined in Johns et al. (2003).\r\n \r\n The Control Run simulation contained in this dataset were used to initialise transient coupled model simulations using HadCM3 for a variety of scenarios. It uses fixed forcing representative of late nineteenth conditions. The control run was initialised and spun up as defined in Johns et al. (2003). The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: aaxzc  aaxzk  aaxzp  aaxzw  abxpa  abxpb  abxpf  abxpg  abxph  abxpi\r\n\r\n Boundary conditions: Fixed forcing representative of late nineteenth century atmospheric conditions.\r\nReferences: \r\nJohns, T.C., J.M. Gregory, W.J. Ingram, C.E. Johnson, A. Jones, J.A. Lowe, J.F.B. Mitchell, D.L. Roberts, D.M.H Sexton, D.S Stevenson, S.F.B. Tett, M.J. Woodage (2003) Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios. Climate Dynamics, pp583-612.\r\n\r\n Initial conditions: The model is initialised directly from the Levitus observed ocean state (Levitus and Boyer 1994; Levitus et al. 1995). There is no spinup with surface or interior ocean relaxation; the model runs freely from the start.\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format.\r\n\r\nList of climate variables:\r\nSURFACE TEMPERATURE AFTER TIMESTEP\r\nSURFACE ZONAL CURRENT AFTER TIMESTEP\r\nSURFACE MERID CURRENT AFTER TIMESTEP\r\nFRAC OF SEA ICE IN SEA AFTER TSTEP\r\nSEA ICE DEPTH (MEAN OVER ICE) M\r\nGEOPOTENTIAL HEIGHT: PRESSURE LEVELS\r\nRELATIVE HUMIDITY WRT ICE ON P LVS\r\nPRESSURE AT MEAN SEA LEVEL\r\nU COMPNT OF WIND AFTER TIMESTEP\r\nV COMPNT OF WIND AFTER TIMESTEP\r\nTHETA AFTER TIMESTEP\r\nSPECIFIC HUMIDITY AFTER TIMESTEP\r\nCONV CLOUD AMOUNT AFTER TIMESTEP\r\nCONV CLOUD LIQUID WATER PATH\r\nSNOW AMOUNT OVER LAND AFT TSTP KG/M2\r\nSURFACE TEMPERATURE AFTER TIMESTEP\r\nBOUNDARY LAYER DEPTH AFTER TIMESTEP\r\nFRAC OF SEA ICE IN SEA AFTER TSTEP\r\nSEA ICE DEPTH (MEAN OVER ICE) M\r\nNET DOWN SURFACE SW FLUX: SW TS ONLY\r\nNET DN SW RAD FLUX:OPEN SEA:SEA MEAN\r\nNET DOWN SURFACE SW FLUX BELOW 690NM\r\nINCOMING SW RAD FLUX (TOA): ALL TSS\r\nOUTGOING SW RAD FLUX (TOA)\r\nCLEAR-SKY (II) UPWARD SW FLUX (TOA)\r\nCLEAR-SKY (II) DOWN SURFACE SW FLUX\r\nCLEAR-SKY (II) UP SURFACE SW FLUX\r\nSW HEATING RATES: ALL TIMESTEPS\r\nCLEAR-SKY SW HEATING RATES\r\nTOTAL DOWNWARD SURFACE SW FLUX\r\nNET DOWNWARD SW FLUX AT THE TROP.\r\nUPWARD SW FLUX AT THE TROP.\r\nNET DOWN SURFACE LW RAD FLUX\r\nNET DN LW RAD FLUX:OPEN SEA:SEA MEAN\r\nTOTAL CLOUD AMOUNT IN LW RADIATION\r\nOUTGOING LW RAD FLUX (TOA)\r\nCLEAR-SKY (II) UPWARD LW FLUX (TOA)\r\nDOWNWARD LW RAD FLUX: SURFACE\r\nCLEAR-SKY (II) DOWN SURFACE LW FLUX\r\nLW HEATING RATES\r\nCLEAR-SKY LW HEATING RATES\r\nNET DOWNWARD LW FLUX AT THE TROP.\r\nTOTAL DOWNWARD LW FLUX AT THE TROP.\r\nOZONE MASS MIXING RATIO AFTER LW\r\nHT FLUX THROUGH SEAICE:SEA MEAN W/M2\r\nHT FLUX FROM SURF TO DEEP SOIL LEV 1\r\nSURFACE HEAT FLUX W/M2\r\nX-COMP OF SURF & BL WIND STRESS N/M2\r\nY-COMP OF SURF & BL WIND STRESS N/M2\r\nSURFACE TOTAL MOISTURE FLUX KG/M2/S\r\nWIND MIX EN'GY FL TO SEA:SEA MN W/M2\r\n10 METRE WIND U-COMP B GRID\r\n10 METRE WIND V-COMP B GRID\r\nSFC SH FLX FROM OPEN SEA:SEA MN W/M2\r\nEVAP FROM OPEN SEA: SEA MEAN KG/M2/S\r\nSURFACE LATENT HEAT FLUX W/M2\r\nSEAICE TOP MELT LH FLX:SEA MEAN W/M2\r\nTEMPERATURE AT 1.5M\r\nSPECIFIC HUMIDITY AT 1.5M\r\nDEEP SOIL TEMPERATURE AFTER B.LAYER\r\nRELATIVE HUMIDITY AT 1.5M\r\nCANOPY CONDUCTANCE M/S\r\nGROSS PRIMARY PRODUCTIVITY KG C/M2/S\r\nNET PRIMARY PRODUCTIVITY KG C/M2/S\r\nPLANT RESPIRATION KG/M2/S\r\nEVAP FROM SOIL SURF : RATE KG/M2/S\r\nEVAP FROM CANOPY : RATE KG/M2/S\r\nSUBLIM. SURFACE (GBM) : RATE KG/M2/S\r\nLARGE SCALE RAINFALL RATE KG/M2/S\r\nLARGE SCALE SNOWFALL RATE KG/M2/S\r\nCONVECTIVE RAINFALL RATE KG/M2/S\r\nCONVECTIVE SNOWFALL RATE KG/M2/S\r\nCONV. CLOUD AMOUNT ON EACH MODEL LEV\r\nTOTAL RAINFALL RATE: LS+CONV KG/M2/S\r\nTOTAL SNOWFALL RATE: LS+CONV KG/M2/S\r\nTOTAL PRECIPITATION RATE KG/M2/S\r\nX COMPONENT OF GRAVITY WAVE STRESS\r\nY COMPONENT OF GRAVITY WAVE STRESS\r\nLAND SNOW MELT HEAT FLUX W/M2\r\nSOIL MOISTURE CONTENT\r\nCANOPY WATER CONTENT\r\nSOIL MOISTURE CONTENT IN A LAYER\r\nUNFROZEN SOIL MOISTURE FRACTION\r\nFROZEN SOIL MOISTURE FRACTION\r\nCANOPY THROUGHFALL RATE KG/M2/S\r\nSURFACE RUNOFF RATE KG/M2/S\r\nSUB-SURFACE RUNOFF RATE KG/M2/S\r\nBULK CLOUD AMOUNT AFTER MAIN CLOUD\r\nCLOUD LIQUID WATER AFTER MAIN CLOUD\r\nCLOUD ICE CONTENT AFTER DYNAM CLOUD\r\nATMOS ENERGY CORR'N IN COLUMN W/M2\r\nU WIND ON PRESSURE LEVELS B GRID\r\nV WIND ON PRESSURE LEVELS B GRID\r\nGEOPOTENTIAL HEIGHT: PRESSURE LEVELS\r\nTEMPERATURE ON PRESSURE LEVELS\r\nRELATIVE HUMIDITY WRT ICE ON P LVS\r\nPRESSURE AT MEAN SEA LEVEL\r\nSURFACE HEAT FLUX W/M2\r\nX-COMP OF SURF & BL WIND STRESS N/M2\r\nY-COMP OF SURF & BL WIND STRESS N/M2\r\nSURFACE TOTAL MOISTURE FLUX KG/M2/S\r\nSPECIFIC HUMIDITY AFTER TIMESTEP\r\nCLOUD LIQUID WATER AFTER MAIN CLOUD\r\nCLOUD ICE CONTENT AFTER DYNAM CLOUD\r\nIndicator of local q diffusion\r\nTEMPERATURE AT 1.5M\r\nTEMPERATURE AT 1.5M"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40957,
            "uuid": "d89be5d393c648159cbaa194e753c859",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_ctrl_QUMP/",
            "numberOfFiles": 4966,
            "volume": 271423889662,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40956,
                "uuid": "064375add269418ca7d1090b25dff4e3",
                "short_code": "ob",
                "title": "HadCM3 control run generated for the QUMP (Quantifying Uncertainty in Model Predictions) Project",
                "abstract": "The Control Run uses fixed forcing representative of late nineteenth century atmospheric conditions. This run is part of a 17 element control ensemble produced as part of the Hadley Centre QUMP investigation.\r\n \r\n The Control Run contained in this dataset is part of the 2nd QUMP (Quantifying Uncertainty in Model Predictions) Fully Coupled Transient Ensemble. It uses fixed forcing representative of late nineteenth century atmospheric conditions. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: aenwp\r\n\r\n Boundary conditions: Fixed forcing representative of late nineteenth century atmospheric conditions as defined in Johns et al. (2003).\r\nReferences: \r\nJohns, T.C., J.M. Gregory, W.J. Ingram, C.E. Johnson, A. Jones, J.A. Lowe, J.F.B. Mitchell, D.L. Roberts, D.M.H Sexton, D.S Stevenson, S.F.B. Tett, M.J. Woodage (2003) Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios. Climate Dynamics, pp583-612.\r\n\r\n Initial conditions: The model is initialised directly from the flux adjusted QUMP project spinup run (run: aenwd date: 2109-12-01)\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40962,
            "uuid": "c69f0b673fb64e478e56a92c06559ac1",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hadcm3/data/HadCM3_ALL3/",
            "numberOfFiles": 3431,
            "volume": 17243059904,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40961,
                "uuid": "3fe1af076909453ea2520b0524c68c2e",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - all natural and anthropogenic forcing experiment (Ensemble element 3).",
                "abstract": "The HadCM3-ALL3 dataset includes time varying forcing from major and minor greenhouse gases, anthropogenic sulfur cycle with direct and indirect sulphate aerosol effects, and variations in tropospheric and stratospheric ozone based partly on off-line chemistry calculations broadly consistent with the IPCC IS95a emission scenario from 1859 to 2002 as well as changes in total solar irradiance and volcanic aerosol. This dataset is the third ensemble member for the HadCM3-ALL ensemble.\r\n \r\n The HadCM3-ALL experiment was designed to simulate the combined of all natural and anthropogenic forcings supported by the HadCM3 model. The forcings are based upon historical observations as defined in the IPCC IS95a emission scenario. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['acbna', 'acbnc', 'acbne', 'acbni']\r\n\r\n Boundary conditions: The HadCM3-ALL3 simulation includes time varying forcing from major and minor greenhouse gases, anthropogenic sulfur cycle with direct and indirect sulphate aerosol effects, and variations in tropospheric and stratospheric ozone based partly on off-line chemistry calculations broadly consistent with the IPCC IS95a emission scenario from 1859 to 2002 as well as changes in total solar irradiance from Lean, et. al. (1995) and changes in volcanic aerosol from Sato et al. (1993).\r\nReferences: \r\nLean, J., J. Beer, and R. Bradley (1995), Reconstruction of Solar Irradiance Since 1610: Implications for Climate Change. Geophysical Research Letters, 22, 3195-3198.\r\nSato, M., J.E. Hansen, M.P. McCormick, and J.B. Pollack (1995), Stratospheric aerosol optical depths, 1850-1990. Journal of Geophysical Research, 98, 22987-22994.\r\n\r\n\r\n Initial conditions: The third element of the HadCM3-ALL ensemble was initialised with the December 2059 conditions from the HadCM3 control run (HadCM3-ctrl).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40965,
            "uuid": "f94def49b92c4be897d8051b6174dfe0",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/hadcm3/data/HadCM3_rest_of_model_runs/",
            "numberOfFiles": 72233,
            "volume": 1817721301738,
            "fileFormat": "HadCM3 data is provided in PP (post processing) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [
                {
                    "ob_id": 3801,
                    "uuid": "9f0ceb63fad445eabf1efec360cc6e60",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                },
                {
                    "ob_id": 3795,
                    "uuid": "2675281eab3b490784424ce1edfa6ec3",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                },
                {
                    "ob_id": 3799,
                    "uuid": "50c5c79e7e0f41b48eebb216e789569f",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                }
            ],
            "observation": {
                "ob_id": 40964,
                "uuid": "18811b0edff14581b407fba71649e154",
                "short_code": "ob",
                "title": "HadCM3 Climate Simulation - additional runs for the HadCM3 model",
                "abstract": "Numerical model data from various Hadley Centre coupled model 3 (HadCM3) experiments. These data cover various time periods, but for the climate change experiments are typically over the range 1989-2100 and contains all atmospheric fields derived from the HadCM3 model, at various time resolutions.\r\n\r\nThe Hadley Centre Hadley Centre Coupled Model Version 3 was developed from the earlier HadCM2 model in the period 1997-2000. Various improvements were applied to the 19 level atmosphere model and the 20 level ocean model and as a result the model requires no artificial flux adjustments to prevent excessive climate drift. The atmosphere and ocean exchange information once per day, heat and water fluxes being conserved exactly. The main differences from the previous HadCM2 model are a significantly more sophisticated radiation scheme; the inclusion of the direct impact of convection on momentum; and the inclusion of a new land surface scheme that includes a better representation of evaporation, freezing and melting of soil moisture. It improved on the resolution available from previous Hadley Centre models and included support for interactive couplings between the atmosphere and ocean and the biosphere, atmospheric chemistry, the sulphur cycle and atmospheric aerosols. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n\r\nThe model runs contained in this folder could not be connected to the specific experiment that produced them, however metadata for each run is archived alongside the data under directory: '/badc/hadcm3/metadata'"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40966,
            "uuid": "9f8a4cd5118541b7bdf9c85766059684",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2023/profsea_tool",
            "numberOfFiles": 455,
            "volume": 15528942920,
            "fileFormat": "This dataset contains data in netCDF and pickle file format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40844,
                "uuid": "47c849b907414f3ab5e56ba9cf83e779",
                "short_code": "ob",
                "title": "Met Office Projecting Future Sea Level (ProFSea) tool, input datasets",
                "abstract": "The Met Office Projecting Future Sea Level (ProFSea) tool requires several input datasets, which are provided here and described below:\r\n\r\n1. Coupled Model Intercomparison Project Phase 5 (CMIP5) model timeseries of global thermosteric sea level (zostoga) and spatial fields of ocean dynamic sea level (zos) on a regular 1 x 1 latitude-longitude grid.\r\n\r\n2. UKCP18 CMIP5 slope coefficients calculated between local sterodynamic component of sea level (zostoga + zos) and global thermosteric sea level (zostoga).\r\n\r\n3. A 450,000-member Monte Carlo simulation is produced for each RCP scenario that forms the basis of both the global mean sea level and local mean sea level projections, and for the two different time horizons, to 2100 and 2300. Essentially a Monte Carlo can be defined as a method that makes random draws from an underlying distribution multiple times to build up a distribution of the combined uncertainties. The methods used for each component and for our two different time horizons are summarized in Table 1, Section 3 of Palmer et al. (2020).\r\n\r\n4a. UKCP18 estimates of the effect of glacial isostatic adjustment (GIA) on relative sea level change developed for the NERC BRITICE-CHRONO project (Sarah Bradley, pers. Comm.; UKCP18 Marine Report).\r\n\r\n4b. Estimates of the effect of GIA on relative sea level based on two of the three global estimates used in Palmer et al (2020). The first is based on the ICE‐5G (VM2 L90) model (Peltier, 2004). The other is from the Australian National University based on an update of Nakada and Lambeck (1988) in 2004-2005 (Slangen et al., 2014). These are gridded fields with global coverage.\r\n\r\n5. The Gravity, Rotation and Deformation (GRD) estimates for each of the barystatic components: (i) Antarctic surface mass balance, (ii) Antarctic ice dynamics, (iii) Greenland surface mass balance, (iv) Greenland ice dynamics, (v) worldwide glaciers, and (vi) changes in land water storage. For details of the different estimates see Section 2.4 of Palmer et al (2020). These are gridded fields with global coverage."
            },
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        {
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            "short_code": "result",
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            "dataPath": "/neodc/esacci/vegetation_parameters/data/L3S/vp_products/v1.0",
            "numberOfFiles": 54006,
            "volume": 282485273505,
            "fileFormat": "The data are provided in netCDF format.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40807,
                "uuid": "34e4bfe402c048c783e64eac0f0bca37",
                "short_code": "ob",
                "title": "ESA Vegetation Parameters Climate Change Initiative (Vegetation_Parameters_cci): LAI and fAPAR, Version 1.0",
                "abstract": "Climate Research Data Package 1 from the ESA Climate Change Initiative Vegetation Parameters Project (Vegetation_parameters_cci). The dataset consists of Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) gridded at 1 km resolution for the period 2000-2020. The dataset is based on data from SPOT4/5-VEGETATION1/2 and PROBA-V as input data.\r\n\r\nLAI and fAPAR are retrieved using OptiSAIL (see Blessing and Giering, 2021 doi:10.20944/preprints202109.0147.v1). The dataset is processed for a north-south transect from Finland to South-Africa, as well as for a set of globally distributed sites that is representative for all biomes and for those sites where in-situ reference data is available.\r\n\r\nThe temporal resolution of both datasets is 5 days, but is computed using data selected from a symmetric 10-days window. The data are not smoothed in time. The transect is ordered in tiles following the PROBA-V tiling definition. These files contain the fully validated layers of (effective) LAI, fAPAR, their uncertainties and the correlation between both. The sites additionally include the variables Chlorophyll a+b leaf pigment concentration (Cab), the fraction of Chlorophyll Absorbed Photosynthetically Active Radiation (fAPAR_Cab) and Surface Albedo calculated as bi-hemispheric reflectance (BHR) for diffuse illumination with a reference spectrum for spectral broadband intervals visible wavelengths (VIS, 400-700 nm), near-infrared wavelengths (NIR, 700-2500 nm), and for the combined shortwave range (SW, 400-2500 nm), as well as directional-hemispherical reflectance (DHR) for the same spectral broadbands, computed for local solar noon. These additional variables are not validated.\r\n\r\nFurther details about the data, including validation and intercomparison with similar datasets, can be found in the PDF documentation."
            },
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        {
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            "short_code": "result",
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            "dataPath": "/neodc/tccon/tccon_mirror/data/bremen01/ggg2020",
            "numberOfFiles": 4,
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            "observation": {
                "ob_id": 40968,
                "uuid": "6bc32fef97594bd7a082929265865cdc",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Bremen (DE), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Bremen, Germany."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "6451e7c13e5b4e79be2721639e36683b",
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            "dataPath": "/neodc/tccon/tccon_mirror/data/burgos01/ggg2020",
            "numberOfFiles": 7,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40969,
                "uuid": "89cdd7443d5f49ef924ea2aa3248d12b",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON):TCCON data from Burgos, Ilocos Norte (PH), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Burgos, Ilocos Norte, Philippines."
            },
            "onlineresource_set": []
        },
        {
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40971,
                "uuid": "f1fdbb8d2c8949aab6964c9e5b437874",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Caltech (US), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at California Institute of Technology, Pasadena, California, USA."
            },
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        },
        {
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            "numberOfFiles": 6,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40972,
                "uuid": "40be02c8cc0f44249d91fc22dfde2936",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Harwell, Oxfordshire (UK), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO) are retrieved. This is the GGG2020 data release of observations from the TCCON station at Harwell, UK."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41030,
            "uuid": "4e280d7970fc43c3afd9ddab4053312b",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tccon/tccon_mirror/data/darwin01/ggg2020",
            "numberOfFiles": 4,
            "volume": 187077637,
            "fileFormat": "netcdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40978,
                "uuid": "749f3c169e284c2d96c4d3177eda7bd4",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Darwin (AU), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Darwin, Australia."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41031,
            "uuid": "89abe648080a447daa94ae8795821121",
            "short_code": "result",
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            "dataPath": "/neodc/tccon/tccon_mirror/data/easttroutlake01/ggg2020",
            "numberOfFiles": 7,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40979,
                "uuid": "48a182f84efd4c50b4875434750b7025",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from East Trout Lake, SK (CA), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at East Trout Lake, Canada."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41032,
            "uuid": "5cfd5d31f76149b785f0d4e1fade067d",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tccon/tccon_mirror/data/edwards01/ggg2020",
            "numberOfFiles": 7,
            "volume": 1597558656,
            "fileFormat": "netcdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40980,
                "uuid": "10cf625381ea4fe28c92e6df65861465",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Edwards (US), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Armstrong Flight Research Center, Edwards, CA, USA."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41033,
            "uuid": "16d768e208484b43a0f72d63e2891db9",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tccon/tccon_mirror/data/eureka01/ggg2020",
            "numberOfFiles": 4,
            "volume": 25986251,
            "fileFormat": "netcdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40981,
                "uuid": "eead68ab80a148d0b25c810f702ff487",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Eureka (CA), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Eureka, Canada."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41034,
            "uuid": "ca64a1142d3e4800b1ba64af92c77029",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tccon/tccon_mirror/data/fourcorners01/ggg2020",
            "numberOfFiles": 4,
            "volume": 12602571,
            "fileFormat": "netcdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40982,
                "uuid": "067be8cdb1a544559afc7eb70b6a5f1b",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Four Corners (US), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Four Corners, NM, USA."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41035,
            "uuid": "c4787b0ce7334df6a57eb2a4ae2c5eff",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tccon/tccon_mirror/data/garmisch01/ggg2020",
            "numberOfFiles": 5,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40983,
                "uuid": "ad376a447510467a97b663b9e29d29d3",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Garmisch (DE), Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Garmisch, Germany."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41036,
            "uuid": "d26173b9fbe14634ab1e9e5ac64faba9",
            "short_code": "result",
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            "dataPath": "/neodc/tccon/tccon_mirror/data/hefei01/ggg2020",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40984,
                "uuid": "c380d1f51d544fd28114474be59d0375",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Hefei (PRC), Release GGG2020.R1",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Hefei, China."
            },
            "onlineresource_set": []
        },
        {
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            "dataPath": "/neodc/tccon/tccon_mirror/data/indianapolis01/ggg2020",
            "numberOfFiles": 4,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40985,
                "uuid": "154ca14a95de4aedb5bae816bbec3b74",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Indianapolis (US), Release GGG2020.R1",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Indianapolis, Indiana, USA."
            },
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        },
        {
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            "dataPath": "/neodc/tccon/tccon_mirror/data/izana01/ggg2020",
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            "observation": {
                "ob_id": 40986,
                "uuid": "a34a4c58003b4e4cb78abbafc886b965",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Izana (ES), Release GGG2020.R1",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Izana, Tenerife, Spain."
            },
            "onlineresource_set": []
        },
        {
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            "observation": {
                "ob_id": 40987,
                "uuid": "510150041b544481a239b01edb5ebd83",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Jet Propulsion Laboratory (US), 2007, Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Jet Propulsion Laboratory, Pasadena, California, USA."
            },
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        {
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            "dataPath": "/neodc/tccon/tccon_mirror/data/jpl02/ggg2020",
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            "observation": {
                "ob_id": 40988,
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                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Jet Propulsion Laboratory, Pasadena, California, USA."
            },
            "onlineresource_set": []
        },
        {
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            "observation": {
                "ob_id": 40993,
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                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Karlsruhe (DE), Release GGG2020.R1",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Karlsruhe, Germany."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41042,
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            "dataPath": "/neodc/tccon/tccon_mirror/data/lauder01/ggg2020",
            "numberOfFiles": 4,
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            "observation": {
                "ob_id": 40994,
                "uuid": "5f93fa8eb0ae41cc917fd05029694013",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lauder (NZ), 120HR, Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lauder, New Zealand, 120HR."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 41043,
            "uuid": "198ec3931ff040c2800179b79bf06acc",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tccon/tccon_mirror/data/lauder02/ggg2020",
            "numberOfFiles": 4,
            "volume": 193938679,
            "fileFormat": "netcdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40995,
                "uuid": "28e78c1e916d48229848000be49fa754",
                "short_code": "ob",
                "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lauder (NZ), 125HR, Release GGG2020.R0",
                "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lauder, New Zealand, 125HR."
            },
            "onlineresource_set": []
        }
    ]
}