Observation List
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/?format=api&offset=7300
{ "count": 10255, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7400", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7200", "results": [ { "ob_id": 33310, "uuid": "dd6a312c701f47778390de50cd052071", "title": "Perturbed CO2 forecasts of the February 2019 European heatwave", "abstract": "This dataset contains a range of model output from both operational runs of the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS) CY45R1 model forecasts and hindcasts and output from specific experimental runs. \r\n\r\nThese data were produced to support the article \"Forecast-based attribution of a winter heatwave within the limit of predictability\" (see citation and link to paper elsewhere on this record).\r\n\r\nWithin the archived products the directory tree structure is as follows:\r\n\r\nTop level domain splitting:\r\n>EU\r\nModel data at 0.25 degree resolution for the region contained within (33 to 73.5N / -27 to 45E).\r\n\r\n>GLOB\r\nModel data at 0.25 degree resolution for the full globe.\r\n\r\nBelow which there are sub-directories as follows (note, M-climate is only available for the EU domain):\r\n\r\n>>ENS\r\nData from the operational Ensemble Prediction System (EPS) forecast.\r\n\r\n>>M-climate\r\nData from EPS hindcasts used to construct model climate. See https://confluence.ecmwf.int/display/FUG/M-climate%2C+the+ENS+Model+Climate.\r\n\r\n>>pi-CO2\r\nData from EPS forecast that replicates operations *but for* reduced CO2 concentrations, set to 285 ppm.\r\n\r\n>>incr-CO2\r\nData from EPS forecast that replicates operations *but for* increased CO2 concentrations, set to 600 ppm.\r\n\r\nWithin these runs the data are then available on the following level types:\r\n>>>pl\r\nData on pressure levels.\r\n\r\n>>>sfc\r\nData on single levels.\r\n\r\nEnsemble data are further split into sub-directories as follows:\r\n>>>>cf\r\nControl forecast member.\r\n\r\n>>>>pf\r\nPerturbed forecast members.\r\n\r\nThe specific variables available within each netCDF file can differ depending on the region and experiment type (eg. the operational ENS forecasts whose initialisation dates match those of the perturbed CO2 experiments have more variables available than the others). All the datasets & variables required to reproduce the analysis are described in the paper.\r\n\r\nForecast-based attribution of a winter heatwave within the limit of predictability. Nicholas J. Leach, Antje Weisheimer, Myles R. Allen, Tim Palmer. Proceedings of the National Academy of Sciences Dec 2021, 118 (49) e2112087118; DOI: 10.1073/pnas.2112087118", "keywords": "CO2, ECMWF, European heatwave", "publicationState": "citable", "dataPublishedTime": "2021-11-17T12:05:32", "doiPublishedTime": "2021-12-14T11:30:43", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33311/?format=api", "dataPath": "/badc/deposited2021/perturbedCO2-forecasts/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 438235283339, "numberOfFiles": 173, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9151/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89641/?format=api" ], "dataLineage": "Data were generated using the ECMWF IFS CY45R1 model at Tco639 resolution. Data are either operational forecast data, or experiments that use an identical model version and setup to operations in which the CO2 concentration has been perturbed. These experiments would replicate operations but for the CO2 perturbations. Data were post-processed using cdo1.9.8 and NCO4.7.2. The data were then sent to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10970/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33450/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148791/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33313/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33315, "uuid": "ac333bc4d212442aabdccbf80a457a41", "title": "MSG: Dust imagery in the RGB channels over the full disc at 0 degrees (EEDA41)", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RBG dust images from MSG satellites over the full disc at 0 degrees. Imagery available from November 2021 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).", "keywords": "MSG, dust, rgb, Satellites, full disc", "publicationState": "published", "dataPublishedTime": "2022-06-06T15:09:01", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33316/?format=api", "dataPath": "/badc/msg/data/hritimages/EEDA41", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 78620695526, "numberOfFiles": 35840, "fileFormat": "Data are JPEG formatted image files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9193/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/934/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data obtained by satellite from March 2005, prepared by the Met Office and stored in the CEDA archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11161/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2645/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148802/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/14637/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2545/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "msg", "label": "restricted: msg group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33317, "uuid": "b1dacc09b42f4d8ab492c5d5c751efa9", "title": "MSG: Dust imagery in the RGB channels over the full disc at 41.5 degrees East (LEDF41, upto 0900 UTC 1st June 2022)", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RGB dust images from MSG satellites over the full disc at 41.5 degrees East. Imagery available from November 2021 until 0900 UTC 1st June 2022 (see following note) at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nNOTE - from 1st February 2022 to 20th April 2022 Meteosat-9 was drifted from 3.5 E to 45.5E at a rate of 0.5 degree a day drift to a new observation location centred over 45.5 degrees East to take over as the prime IODC (Indian Ocean Data Coverage) satellite from 30th May 2022. This role was previously by Meteosat-8, which remains in place for emergency . Data were not made available during this drifting process. The Met Office production of the LEDF41 product switched to using Meteosat-9 from 0915 UTC on 1st June 2022. See linked dataset for the replacement dataset to continue provision of this product over this region of the globe.\r\n\r\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).", "keywords": "MSG, dust, rbd, Satellites, full disc", "publicationState": "published", "dataPublishedTime": "2022-06-06T10:21:30", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33318/?format=api", "dataPath": "/badc/msg/data/hritimages/LEDF41", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8509683310, "numberOfFiles": 4326, "fileFormat": "Data are JPEG formatted images" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9194/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2919/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data obtained by satellite from March 2005, prepared by the Met Office and stored in the CEDA archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11161/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2645/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148818/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/14637/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2545/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "msg", "label": "restricted: msg group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33319, "uuid": "7bdb8604acc940f79a88433cc83904fc", "title": "Cape Verde Atmospheric Observatory: FLEXPART back trajectory (2007 onwards)", "abstract": "Ten day back trajectory calculations made using the FLEXPART model initiated from Cape Verde Atmospheric Observatory four times a day to show the origins of the air arriving at the observatory and support the analysis of the observations. The Cape Verde Atmospheric Observatory (CVAO) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution.", "keywords": "Cape Verde, FLEXPART, trajectories", "publicationState": "published", "dataPublishedTime": "2021-11-19T09:14:26", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33322/?format=api", "dataPath": "/badc/capeverde/data/FLEXPART-back-traj/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39033382172, "numberOfFiles": 20169, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9153/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/12/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46694/?format=api" ], "dataLineage": "FLEXPART model output prepared by NCAS staff before archiving at BADC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/875/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/872/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148821/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33320/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33327, "uuid": "ba8180a9876a4ef1a127046a673d8864", "title": "ClearfLo: IOP Winter atmospheric chemistry and meteorology measurements and NAME Airmass Footprint dispersion model output across London sites", "abstract": "ClearfLo (Clean Air for London) Project was a collaborative scientific project involving several academic institutions in the UK, which aimed to set up air pollution monitoring sites alongside meteorological measurements to investigate boundary layer pollution across London.\r\n\r\nThis dataset contains NAME airmass footprint images and a broad suite of chemistry and meteorological measurements at Detling, North Kensington, and King's College, London during the winter Intensive Operations Period (IOP) in January and February 2012.", "keywords": "ClearfLo, pollution, chemistry, meteorology", "publicationState": "published", "dataPublishedTime": "2021-11-24T15:06:06", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33328/?format=api", "dataPath": "/badc/clearflo/data/iop/winter", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 702836713, "numberOfFiles": 3139, "fileFormat": "NASA-Ames and NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9154/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2886/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60532/?format=api" ], "dataLineage": "Data are collected and processed by the instrument operators and uploaded to the ClearfLo (Clean Air for London) data archive at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/3933/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/3930/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148852/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/composites/14545/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33333, "uuid": "38bac9051d064d4da183fff2361f5de8", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 3.27 (v20220621)", "abstract": "Input data for figure 3.27 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.27 shows maps of multi-decadal salinity trends for the near-surface ocean.\r\n\r\n ---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two subpanels, with input data provided for the upper panel.\r\n\r\n ---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the global ocean salinity estimates from Durack & Wijffels (2010) based on observations from 01-01-1950 to 12-31-2019:\r\n \r\n - Mean salinity (for the Jan/1950 to Dec/2019 period, units in PSS).\r\n - Salinity change (for the same period, PSS/70-years).\r\n - Salinity change error (same period, PSS/70-years).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe observational data from here (top panel) is taken from the file:\r\nDurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc. The fields of interest are salinity_mean (shown as black contours) and salinity_change (shown in colourscale). DurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc is an updated file from Durack & Wijffels (2010).\r\n\r\nThe data file DurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc is an intermediate file used in 3.27, please refer to the code to generate the figure using the corresponding tools (see the link to the code in the 'Related document' section README_AR6_WG1_Chap3_Figure3_27_GlobalSeaSurfaceSalinitytrends.md at main ESMValGroup/ESMValTool-AR6-OriginalCode-FinalFigures).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to input data figure 2.27.\r\n - Link to the figure on the IPCC AR6 website.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes", "publicationState": "citable", "dataPublishedTime": "2022-12-14T16:38:04", "doiPublishedTime": "2023-02-08T19:38:31.554442", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37606/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/inputdata_ch3_fig27/v20220621", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 40251095, "numberOfFiles": 4, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9150/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49490/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12391/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148876/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33334/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33339, "uuid": "51725f90c60a45e69f07a748a25b9729", "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Vegetation Index (NDVI) v1", "abstract": "Sentinel-Hub NDVI description: \r\nNDVI is a simple, but effective index for quantifying green vegetation. It normalizes green leaf scattering in Near Infra-red wavelengths with chlorophyll absorption in red wavelengths.\r\n\r\nThe value range of the NDVI is -1 to 1. Negative values of NDVI (values approaching -1) correspond to water. Values close to zero (-0.1 to 0.1) generally correspond to barren areas of rock, sand, or snow. Low, positive values represent shrub and grassland (approximately 0.2 to 0.4), while high values indicate temperate and tropical rainforests (values approaching 1). It is a good proxy for live green vegetation.\r\n\r\nNDVI = (NIR – Red) / (NIR + RED)\r\n\r\nSentinel-2 NDVI = (B8 - B4) / (B8 + B4)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Normalised Difference Vegetation Index (NDVI) data derived from Defra and JNCC Sentinel-2 Analysis Ready Data. \r\n\r\nNDVI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.\r\n\r\nVersion 1 contains masked index files (using the Defra and JNCC ARD cloud and topographic shadow masks).", "keywords": "JNCC, ARD, NDVI, Sentinel 2, EO indices, Analysis Ready Data, Sentinel", "publicationState": "published", "dataPublishedTime": "2022-05-11T14:02:16", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33340/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/ndvi/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1993246894475, "numberOfFiles": 17657, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9164/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148896/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33348/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33342, "uuid": "967313bee45c48998c5027896e3da53c", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.13 (v20211126)", "abstract": "Data for Figure 2.13 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.13 shows the global trends in surface specific humidity and surface relative humidity over 1973 - 2019\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panel (b) and (d) in one single file (qrh2.csv). Code for plotting panels (a) and (c) is archived on zenodo and a link is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time-series of observed global average surface specific and relative humidity during 1973-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel b. Global average surface specific humidity annual anomalies (1981–2010 base period):\r\n \r\n - Data file: qrh2.csv - column 2 cyan solid line\r\n - Data file: qrh2.csv - column 3 orange solid line\r\n - Data file: qrh2.csv - column 4 blue solid line\r\n - Data file: qrh2.csv - column 5 black solid line\r\n\r\n\r\nPanel d. Global average surface relative humidity annual anomalies (1981–2010 base period):\r\n - Data file: qrh2.csv - column 7 cyan solid line\r\n - Data file: qrh2.csv - column 8 orange solid line\r\n - Data file: qrh2.csv - column 9 blue solid line\r\n - Data file: qrh2.csv - column 10 black solid line\r\n\r\nRH stands for relative humidity.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2).\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1.\r\n - Link to input data figure 2.13.\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.13, global specific humidity, global relative humidity", "publicationState": "citable", "dataPublishedTime": "2023-05-11T15:19:34", "doiPublishedTime": "2023-07-03T19:50:51", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39215/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig13/v20211126", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10455, "numberOfFiles": 4, "fileFormat": "csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9158/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12615/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32717/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196260/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33344/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33345, "uuid": "de41130346a04f97879352525d890577", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.14 (v20211126)", "abstract": "Data for Figure 2.14 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.14 provides global average time series of total column water vapour anomalies for a variety of data sources\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset cointains time series of global averaged total column water vapour anomalies from 1979-2019 for observations and reanalyses\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file: tcwv6.csv:\r\n \r\n - Column 2: cyan solid line\r\n - Column 3: orange solid line\r\n - Column 4: black solid line\r\n - Column 5: green solid line\r\n - Column 6: cyan dotted line\r\n - Column 7: blue line\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.14, global total column water vapour", "publicationState": "citable", "dataPublishedTime": "2023-05-11T15:44:55", "doiPublishedTime": "2023-07-03T19:55:07.202045", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39216/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig14/v20211126", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6944, "numberOfFiles": 4, "fileFormat": "CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9159/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12616/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32717/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148917/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33347/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33350, "uuid": "70276cf6b04e4b638b4fe9b37f7651dd", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.15 (v20211126)", "abstract": "Data for Figure 2.15 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.15 provides global precipitation trend maps and time series for a variety of data sources.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for panel c (precipglobalavedata2019_4.csv). Code for plotting all panels is archived on zenodo and a link is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global precipitation data from a variety of sources covering the period 1891-2019.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel c:\r\n \r\n - Data file precipglobalavedata2019_4.csv: column 2 orange solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 3 cyan solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 4 black solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 5 black dotted line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 7 orange solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 8 cyan solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 9 black solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 10 black dotted line (lower panel)\r\n\r\nGCPP stands for the Global Precipitation Climatology Centre.\r\nCRU TS stands for Climatic Research Unit Timeseries.\r\nGPCP stands for the Global Precipitation Climatology Project.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2).\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1.\r\n - Link to input data figure 2.15.\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.15, global precipitation", "publicationState": "citable", "dataPublishedTime": "2023-05-11T15:33:29", "doiPublishedTime": "2023-07-03T19:58:18", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39217/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig15/v20211126", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15230, "numberOfFiles": 4, "fileFormat": "CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9160/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12617/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32717/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196261/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33352/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33357, "uuid": "09198c58032d4b8197fd7c6748b92785", "title": "Thermospheric cooling under RCP8.5 and high solar activity due to carbon dioxide increases only, select years from 1975-2095", "abstract": "This dataset contains WACCM-X model results under RCP8.5 (Representative Concentration Pathway) carbon dioxide increases and high solar activity (F10.7 = 200 sfu). These cover ground level to a pressure level of 4e-10 hPa (~300 km altitude) on a global 144x96 longitude-latitude grid .\r\n\r\nData is given in daily instantaneous (.h2.) and monthly average (.h0.) files in the netCDF format. Default WACCM-X outputs remain, along with the following additional variables:\r\n\r\n'PS' - Surface Pressure\r\n'Z3' - Geopotential Height (above sea level)\r\n'T' - Temperature\r\n'U' - Zonal Wind\r\n'V' - Meridional Wind\r\n'CO2' - Carbon Dioxide Concentration\r\n'CO' - Carbon Monoxide Concentration\r\n'NO' - Nitric Oxide Concentration\r\n'H2O' - Water Vapour Concentration\r\n'O' - Atomic Oxygen Concentration\r\n\r\nMore detail on each variable is given within the netCDF files and the readme file.\r\n\r\n64 month runs from edited initial files at 10 year intervals from 2015 to 2095 under RCP8.5. There is also a 28 month 1975 run and 64 month 2000 run. All of these cyclically repeat the initial year. These are separated into individual folders with the RCP8.5 CO2 concentration listed. The first 4 months of each of these datasets have been ignored in processing as the model spins up, but are included here for completeness.\r\n\r\nThis data was collected to understand the density drop at low earth orbit altitudes as carbon dioxide concentrations increase.", "keywords": "thermospheric, cooling, model", "publicationState": "citable", "dataPublishedTime": "2021-12-03T15:05:09", "doiPublishedTime": "2022-01-12T14:35:11.412657", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33358/?format=api", "dataPath": "/badc/deposited2021/ThermoCooling_SA_WACCMX/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 859638421317, "numberOfFiles": 20847, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9162/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54926/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91583/?format=api" ], "dataLineage": "Input data other than default is obtained from the subversion input data repository at https://svn-ccsm-inputdata.cgd.ucar.edu/trunk/\r\n\r\nThese files changed in user_nl_cam include\r\nsolar_parms_file = '/.../inputdata/atm/waccm/phot/wa_smin_quiet_c071210.nc'\r\n\r\nsrf_emis_specifier = 'CH2O -> /.../inputdata/atm/cam/chem/2000-2100_RCP45/IPCC_emissions_houw_CH2O_2000-2100_1.9x2.5.nc',\r\n 'CO -> /.../inputdata/atm/cam/chem/2000-2100_RCP45/IPCC_emissions_houw_CO_2000-2100_1.9x2.5.nc',\r\n 'NO -> /.../inputdata/atm/cam/chem/2000-2100_RCP45/IPCC_emissions_houw_NOx_2000-2100_1.9x2.5.nc'\r\n\r\naero_file = 'aero_rcp45_v1_1.9x2.5_L26_1995-2105_c100316.nc'\r\n\r\nsolar_data_file = '/.../inputdata/atm/cam/solar/spectral_irradiance_Lean_1950-2100_daily_CCMI_Leap_c150727.nc'\r\n\r\n1975 run used all default input files. \r\n\r\nInitial conditions are those of the default year 2000 run, with CO2 and CO concentrations in the initial files edited as described within the paper (Brown et al, 2021).\r\n\r\nThe files uploaded here are the raw files output by WACCM-X with no editing.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10976/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33359/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148942/?format=api", 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Land Surface Temperature Climate Change Initiative (LST_cci): All-weather MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020)", "abstract": "MW-LST is a data record of land surface temperature (LST) derived from the microwave instruments Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager / Sounder (SSMIS). Observations available at frequencies close to 18, 22, 26, and 85 GHz are used as an input to a retrieval algorithm that produces LST over all continental surfaces, twice per day (6 am/pm), at a spatial resolution of ~25 km, and over 25 years (1996-2020). \r\n\r\nThe data record has been produced by the company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci). Compared with the remaining infrared LST data records of the LST_cci, the spatial resolution of the MW-LST is coarser, and the associated retrieval errors are larger. However, it offers LST estimates for clear-sky and cloudy conditions, therefore complementing the IR LST data records, which can only provide LST for clear skies. The data record is temporally and spatially complete, although in rare occasions some data can be missing due to missing observations, e.g., due to satellite maintenance operations or anomalous behavior. The data record is provided on a regular grid of 0.25x0.25 degrees, saved as daily, monthly, and yearly netcdf files. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:29:51", "doiPublishedTime": "2022-02-25T09:59:52", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34866/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/SSMI_SSMIS/L3C/v2.23/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 66236137474, "numberOfFiles": 18913, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9163/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82154/?format=api" ], "dataLineage": "The data record has been produced by the company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). ). The source of satellite Level 1 observations is the Fundamental Climate Data Record of Microwave Imager Radiances (https://doi.org/10.5676/EUM_SAF_CM/FCDR_MWI/V003) kindly provided by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF).\r\nContact: data.lst-cci@acri-st.fr", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/11009/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34871/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169509/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33373/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [] }, { "ob_id": 33363, "uuid": "6babb8d9a8d247bcb3da6aed42f4b59a", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 4th July 2002 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:38:33", "doiPublishedTime": "2022-02-25T09:59:10", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34704/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/AQUA_MODIS/L3C/0.01/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8680638173212, "numberOfFiles": 12009, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9622/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", 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null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/34706/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33364, "uuid": "1115d8946ba74c7f8a9fc3bfee5513a0", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Envisat equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. AATSR achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 25th July 2002 and ends on 8th April 2012. There is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "land surface temperature, ESA, CCI, AATSR", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:54:14", "doiPublishedTime": "2022-02-25T09:56:08", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34725/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/ENVISAT_ATSR/L3C/0.01/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 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Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and nighttime temperatures are provided in separate files corresponding to the morning and evening ERS-2 equator crossing times which are 10:30 and 22:30 local solar time. \r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length.\r\n\r\nAlso provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is near global over the land surface. Small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml.\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. ATSR-2 achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 22nd June 2003. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "land surface temperature, ESA, CCI, ATSR-2", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:54:28", "doiPublishedTime": "2022-02-25T09:56:23", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34712/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/ERS-2_ATSR/L3C/0.01/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 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version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st May 2016 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "land surface temperature, ESA, CCI, SLSTR", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:54:52", "doiPublishedTime": "2022-02-25T09:56:35", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34731/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/SENTINEL3A_SLSTR/L3C/0.01/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/169097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169096/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/34732/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33367, "uuid": "5f66a881adf846bfaad58b0e6068f0ea", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3B. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel 3B equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRB achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 17th November 2018 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "land surface temperature, ESA, CCI, SLSTR", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:55:22", "doiPublishedTime": "2022-02-25T09:56:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34735/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/SENTINEL3B_SLSTR/L3C/0.01/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": 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Terra, level 3 collated (L3C) global product (2000-2018), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Terra (Terra). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Terra equator crossing times which are 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 24th February 2000 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:55:54", "doiPublishedTime": "2022-02-25T09:56:52", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34708/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/TERRA_MODIS/L3C/0.01/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9991764026044, "numberOfFiles": 13651, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9623/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82154/?format=api" ], "dataLineage": "The data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\nContact: data.lst-cci@acri-st.fr", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/11005/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168993/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/34711/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33369, "uuid": "6775e27575124407afeebb4bb1dfaaf5", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 1st January 2009 and ends on 31st December 2020. \r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "land surface temperature, ESA, CCI", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:31:30", "doiPublishedTime": "2022-02-25T09:59:28", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34757/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRMGP/L3S/0.05/v1.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 944844752958, "numberOfFiles": 35066, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9631/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82154/?format=api" ], "dataLineage": "The data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\nContact: data.lst-cci@acri-st.fr", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/11007/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169147/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/34746/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33370, "uuid": "ef8ce37b6af24469a2a4bdc31d3db27d", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset is comprised of LSTs from a series of instruments with a common heritage: the Along-Track Scanning Radiometer 2 (ATSR-2), the Advanced Along-Track Scanning Radiometer (AATSR) and the Sea and Land Surface Temperature Radiometer on Sentinel 3A (SLSTRA); and data from the Moderate Imaging Spectroradiometer on Earth Observation System - Terra (MODIS Terra) to fill the gap between AATSR and SLSTR. So, the instruments contributing to the time series are: ATSR-2 from August 1995 to July 2002; AATSR from August 2002 to March 2012; MODIS Terra from April 2012 to July 2016; and SLSTRA from August 2016 to December 2020. Inter-instrument biases are accounted for by cross-calibration with the Infrared Atmospheric Sounding Interferometer (IASI) instruments on Meteorological Operational (METOP) satellites. For consistency, a common algorithm is used for LST retrieval for all instruments. Furthermore, an adjustment is made to the LSTs to account for the half-hour difference between satellite equator crossing times. For consistency through the time series, coverage is restricted to the narrowest instrument swath width.\r\n\r\nThe dataset coverage is near global over the land surface. During the period covered by ATSR-2, small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml).\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. Full Earth coverage is achieved in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 31st December 2020. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. Also, there is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. \r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "keywords": "land surface temperature, ESA, CCI, infra-red", "publicationState": "citable", "dataPublishedTime": "2022-02-25T09:30:26", "doiPublishedTime": "2022-02-25T09:59:40", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34739/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRCDR/L3S/0.01/v2.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4309554055171, "numberOfFiles": 17403, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9630/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/45734/?format=api" ], "dataLineage": "The data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).\r\nContact: data.lst-cci@acri-st.fr", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/11008/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169112/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/34742/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 33374, "uuid": "46f5d503ce284114b5925709258bacc5", "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Moisture Index (NDMI) v1", "abstract": "Sentinel-Hub NDMI description: \r\n\r\nThe NDMI is a normalized difference moisture index, that uses NIR and SWIR bands to display moisture. The SWIR band reflects changes in both the vegetation water content and the spongy mesophyll structure in vegetation canopies, while the NIR reflectance is affected by leaf internal structure and leaf dry matter content but not by water content. The combination of the NIR with the SWIR removes variations induced by leaf internal structure and leaf dry matter content, improving the accuracy in retrieving the vegetation water content. The amount of water available in the internal leaf structure largely controls the spectral reflectance in the SWIR interval of the electromagnetic spectrum. SWIR reflectance is therefore negatively related to leaf water content. In short, NDMI is used to monitor changes in the water content of leaves and was proposed by Gao. NDWI is computed using the near-infrared (NIR) and the short wave infrared (SWIR) reflectances:\r\n\r\nNDMI = (NIR – SWIR) / (NIR + SWIR) \r\n\r\nSentinel-2 NDMI = (B08 - B11) / (B08 + B11)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Normalised Difference Moisture Index data derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nNDMI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.", "keywords": "JNCC, ARD, NDMI, Sentinel 2, EO indices, Analysis Ready Data, Sentinel", "publicationState": "published", "dataPublishedTime": "2022-05-11T14:37:16", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33375/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/ndmi/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2000492691567, "numberOfFiles": 17689, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9166/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149033/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33381/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33376, "uuid": "b42f524bc9cd4dd6850b2399b616f5c4", "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Water Index (NDWI) v1", "abstract": "Sentinel-Hub NDWI description: The NDWI is used to monitor changes related to water content in water bodies. As water bodies strongly absorb light in visible to the infrared electromagnetic spectrum, NDWI uses green and near-infrared bands to highlight water bodies. It is sensitive to built-up land and can result in the over-estimation of water bodies. \r\nIndex values greater than 0.5 usually correspond to water bodies. Vegetation usually corresponds to much smaller values and built-up areas to values between zero and 0.2.\r\n\r\nNDWI = (GREEN – NIR) / (GREEN + NIR)\r\n\r\nSentinel-2 NDWI = (B03 - B08) / (B03 + B08)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Normalised Difference Water Index (NDWI) data derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nNDWI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.", "keywords": "JNCC, ARD, NDWI, Sentinel 2, EO indices, Analysis Ready Data, Sentinel", "publicationState": "published", "dataPublishedTime": "2022-05-11T14:39:30", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33377/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/ndwi/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1971223782059, "numberOfFiles": 17689, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9165/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149038/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33378/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33382, "uuid": "6df6b803c2784b8ab9e03834bf9a4337", "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Burn Ratio (NBR) v1", "abstract": "Sentinel Hub NBR description: To detect burned areas, the NBR-RAW index is the most appropriate choice. Using bands 8 and 12 it highlights burnt areas in large fire zones greater than 500 acres. To observe burn severity, you may subtract the post-fire NBR image from the pre-fire NBR image. Darker pixels indicate burned areas.\r\n\r\nNBR = (NIR – SWIR) / (NIR + SWIR) \r\n\r\nSentinel-2 NBR = (B08 - B12) / (B08 + B12)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital & Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat condition at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains the following indices derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nNDVI, NDMI, NDWI, NBR, and EVI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.", "keywords": "JNCC, ARD, NBR, Sentinel 2, EO indices, Analysis Ready Data, Sentinel", "publicationState": "published", "dataPublishedTime": "2022-05-11T14:40:03", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33383/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/nbr/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1969713317948, "numberOfFiles": 17451, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9167/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149053/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33409/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33384, "uuid": "102909b1d169469f85c099a6f1686bad", "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index (EVI)", "abstract": "EVI is a development on Normalised Difference Vegetation Index (NDVI).\r\n\r\nSentinel-Hub EVI description: \r\nIn areas of dense canopy cover, where leaf area index (LAI) is high, the blue wavelengths can be used to improve the accuracy of NDVI, as it corrects for soil background signals and atmospheric influences. The range of values for EVI is -1 to 1, with healthy vegetation generally around 0.20 to 0.80.\r\n\r\nEVI is calculated: EVI = 2.5 * ((NIR – RED) / ((NIR + (6 * RED) – (7.5 * BLUE)) + 1))\r\n\r\nSentinel 2 EVI = 2.5 * ((B8 – B4) / ((B8 + (6 * B4) – (7.5 * B2)) + 1))\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Enhanced Vegetation Index data derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nEVI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.", "keywords": "JNCC, ARD, EVI, Sentinel 2, EO indices, Analysis Ready Data, Sentinel", "publicationState": "removed", "dataPublishedTime": "2022-05-11T14:41:31", "doiPublishedTime": null, "updateFrequency": "", "status": "obsolete", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33385/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/evi/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 970, "numberOfFiles": 1, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9168/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2907/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": "2023-02-10T14:00:30", "removedDataReason": "These data have been removed due to errors in the processing. At present there are no plans to replace them.", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149060/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33406/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33390, "uuid": "b51b72736ff943bb830e3c241d032621", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.17 (v20211203)", "abstract": "Data for Figure 2.17 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.17 shows temporal evolution of the Hadley Cell extent and intensity since 1979 from a variety of reanalyses.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains the annual average of Northern Hemisphere and Southern Hemisphere latitude of the Hadley Cell edge, as well as the intensity of the Hadley Cell for each hemisphere\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file: HCextent_2.csv, column 2 cyan line, upper panel\r\n - Data file: HCextent_2.csv, column 3 orange line, upper panel\r\n - Data file: HCextent_2.csv, column 4 grey line, upper panel\r\n - Data file: HCextent_2.csv, column 5 black line, upper panel\r\n - Data file: HCextent_2.csv, column 6 cyan line, lower panel\r\n - Data file: HCextent_2.csv, column 7 orange line, lower panel\r\n - Data file: HCextent_2.csv, column 8 grey line, lower panel\r\n - Data file: HCextent_2.csv, column 9 black line, lower panel\r\n\r\n\r\nPanel b:\r\n \r\n - Data file: HCintensity_2.csv, column 2 cyan line, upper panel\r\n - Data file: HCintensity_2.csv, column 3 orange line, upper panel\r\n - Data file: HCintensity_2.csv, column 4 grey line, upper panel\r\n - Data file: HCintensity_2.csv, column 5 black line, upper panel\r\n - Data file: HCintensity_2.csv, column 6 cyan line, lower panel\r\n - Data file: HCintensity_2.csv, column 7 orange line, lower panel\r\n - Data file: HCintensity_2.csv, column 8 grey line, lower panel\r\n - Data file: HCintensity_2.csv, column 9 black line, lower panel\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.17, Hadley Cell, tropical expansion", "publicationState": "citable", "dataPublishedTime": "2023-05-11T15:49:58", "doiPublishedTime": "2023-07-03T20:01:32", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39218/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig17/v20211203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14412, "numberOfFiles": 5, "fileFormat": "CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9170/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12618/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32717/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196262/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33392/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33394, "uuid": "f7c3f3cbf65447b9a43207dcc30219d9", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 3.28 (v20220621)", "abstract": "Input Data for Figure 3.28 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.28 shows long-term trends in halosteric and thermosteric sea level in CMIP6 models and observations. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The data is used in left upper and left lower panels (scatter panels), as well as right upper panels (D&W, EN4, Ishii) \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n 210127_DurackandWijffels_V1.0_70yr_steric_1950-2019_0-2000db_210122-205355_beta.nc is input data for D&W. The variables steric_height_halo_anom_depthInterp and steric_height_thermo_anom_depthInterp are used.\r\n 210201_EN4.2.1.g10_annual_steric_1950-2019_5-5350m.nc is input data for EN4\r\n 210201_Ishii17_v7.3_annual_steric_1955-2019_0-3000m.nc is input data for Ishii\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n This data is an input observational data for the Figure 3.28. It is used for scatter plots and contour maps.\r\n In addition, shapefiles are required to calculate the regional boundaries: Pacific.shp, Atlantic.shp. These regions should be standarised throught AR6.\r\n\r\n\r\nThe following changes to filenames were made to archive the data (due to filenaming restrictions). To use the data with any associated figure code, the filenames should be reverted.\r\n\r\n 210127_DurackandWijffels_V1_0_70yr_steric_1950-2019_0-2000db_210122-205355_beta.nc -> 210127_DurackandWijffels_V1.0_70yr_steric_1950-2019_0-2000db_210122-205355_beta.nc \r\n 210201_EN4_2_1_g10_annual_steric_1950-2019_5-5350m.nc -> 210201_EN4.2.1.g10_annual_steric_1950-2019_5-5350m.nc \r\n 210201_Ishii17_v7_3_annual_steric_1955-2019_0-3000m.nc -> 210201_Ishii17_v7.3_annual_steric_1955-2019_0-3000m.nc \r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.28, Sea Level, Ocean, Halosteric Sea Level Rise, Observations", "publicationState": "citable", "dataPublishedTime": "2022-07-01T11:58:53", "doiPublishedTime": "2023-02-08T19:39:23.555140", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37700/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/inputdata_ch3_fig28/v20220620", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 574024475, "numberOfFiles": 21, "fileFormat": "txt, netCDF, cpg, dbf, prj, shp, shx" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9171/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63199/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12392/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149119/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33396/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33399, "uuid": "a4cbbffe1bd44c7ba3e8608ee9c54547", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.31 (v20211203)", "abstract": "Data for Figure 3.31 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.31 shows evaluation of historical emission-driven CMIP6 simulations for 1850-2014. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Observed and simulated change in global mean atmospheric CO2 concentration (1850-2014)\r\n - Observed and simulated air surface temperature anomaly (1850-2014)\r\n - Observed and simulated change in land carbon uptake (1850-2014)\r\n - Observed and simulated change in ocean carbon uptake (1850-2014)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/fig_3_31_panel_a.nc:\r\n \r\n - dim0 = 0: 'ACCESS-ESM1-5 ', (turquoise solid line), Australian Community Climate and Earth System Simulator - Earth System Model\r\n - dim0 = 1: 'CNRM-ESM2-1', (light green solid line), National Centre for Meteorological Research\r\n - dim0 = 2: 'CanESM5-CanOE ', (orange solid line), Canadian Earth System Model - Canadian Ocean Ecosystem model\r\n - dim0 = 3: 'CanESM5', (dark green solid line).\r\n - dim0 = 4: 'MIROC-ES2L', (light purple solid line), Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and Centre for Climate System Research / National Institute for Environmental Studies, Japan.\r\n - dim0 = 5: 'MPI-ESM1-2-LR ', (teal solid line), Max Planck Institute Earth System Model \r\n - dim0 = 6: 'MRI-ESM2-0', (lime solid line), Meteorological Research Institute of the Japan Meteorological Agency\r\n - dim0 = 7: 'NorESM2-LM', (pink solid line), The Norwegian Earth System Model\r\n - dim0 = 8: 'UKESM1-0-LL', (dark purple solid line), UK Earth System Model\r\n - dim0 = 9: 'MultiModelMean', (red solid line).\r\n - dim0 = 10: 'ESRL' (OBS), (black solid line).\r\n\r\npanel_b/fig_3_31_panel_b.nc\r\n \r\n - dim0_0 = 0: 'ACCESS-ESM1-5',\r\n - dim0_0 = 1: 'ACCESS-ESM1-5_historical'.\r\n - dim0_0 = 2: 'CNRM-ESM2-1'.\r\n - dim0_0 = 3: 'CNRM-ESM2-1_historical'.\r\n - dim0_0 = 4: 'CanESM5-CanOE '.\r\n - dim0_0 = 5: 'CanESM5-CanOE_historical'.\r\n - dim0_0 = 6: 'CanESM5'.\r\n - dim0_0 = 7: 'CanESM5_historical'.\r\n - dim0_0 = 8: 'MIROC-ES2L'.\r\n - dim0_0 = 9: 'MIROC-ES2L_historical'.\r\n - dim0_0 = 10: 'MPI-ESM1-2-LR '.\r\n - dim0_0 = 11: 'MPI-ESM1-2-LR_historical '.\r\n - dim0_0 = 12: 'MRI-ESM2-0'.\r\n - dim0_0 = 13: 'MRI-ESM2-0_historical'.\r\n - dim0_0 = 14: 'NorESM2-LM'.\r\n - dim0_0 = 15: 'NorESM2-LM_historical'.\r\n - dim0_0 = 16: 'UKESM1-0-LL'.\r\n - dim0_0 = 17: 'UKESM1-0-LL_historical'.\r\n - dim0_0 = 18: 'HadCRUT5' (OBS), Met Office Hadley Centre\r\n\r\n\r\npanel_c/fig_3_31_panel_c.nc\r\n \r\n - dim0 = 0: 'ACCESS-ESM1-5 '.\r\n - dim0 = 1: 'CNRM-ESM2-1'.\r\n - dim0 = 2: 'CanESM5-CanOE '.\r\n - dim0 = 3: 'CanESM5'.\r\n - dim0 = 4: 'MIROC-ES2L'.\r\n - dim0 = 5: 'MPI-ESM1-2-LR '.\r\n - dim0 = 6: 'MRI-ESM2-0'.\r\n - dim0 = 7: 'NorESM2-LM'.\r\n - dim0 = 8: 'UKESM1-0-LL'.\r\n - dim0 = 9: 'MultiModelMean'.\r\n - dim0 = 10: 'GCP' (OBS), Global Carbon Project (GCP)\r\n\r\n\r\npanel_d/fig_3_31_panel_d.nc\r\n \r\n - dim0 = 0: 'ACCESS-ESM1-5 '.\r\n - dim0 = 1: 'CNRM-ESM2-1'.\r\n - dim0 = 2: 'CanESM5-CanOE '.\r\n - dim0 = 3: 'CanESM5'.\r\n - dim0 = 4: 'MIROC-ES2L'.\r\n - dim0 = 5: 'MPI-ESM1-2-LR '.\r\n - dim0 = 6: 'MRI-ESM2-0'.\r\n - dim0 = 7: 'NorESM2-LM'.\r\n - dim0 = 8: 'UKESM1-0-LL'.\r\n - dim0 = 9: 'MultiModelMean'.\r\n - dim0 = 10: 'GCP' (OBS).\r\n\r\n\r\nLabels and colors for all figures are the same as for panel a. Historical values in panel b are plotted with the same colors as the corresponding simulation, but using dotted lines.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.31, global mean atmospheric CO2 concentration, air surface temperature anomaly, land carbon uptake, ocean carbon uptake, historical emission-driven CMIP6 simulations", "publicationState": "citable", "dataPublishedTime": "2022-04-01T15:35:50", "doiPublishedTime": "2023-02-08T19:20:06.641357", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37117/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig31/v20211203", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 122031, "numberOfFiles": 7, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9173/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63168/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12377/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149139/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33401/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33410, "uuid": "299b1bb28eaa440f9a36e9786adfe398", "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v4.2 dataset), version 2", "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v4.2 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC concentrations were estimated using an empirical Remote Sensing Reflectance (Rrs) band ratio algorithm by Stramski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. This algorithm has shown a relatively good performance in the recent global inter-comparison study conducted by Evers-King et al. (2017). Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Rrs at 443 nm and 555 nm obtained from the ESA Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2)(Sathyendranath et al., 2020). In addition to the papers by Stramski et al. (2008) and Evers-king et al. (2017), for more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home) \r\n\r\nThis version of the dataset is an updated version of the previous 'NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)'.\r\n\r\nA related product based on the Ocean Colour Climate Change Initiative v5.0 data is also available (see the link in the related records section).", "keywords": "NCEO, BICEP, Ocean, Particulate Organic Carbon, Ocean Colour Climate Change Initiative", "publicationState": "citable", "dataPublishedTime": "2021-12-21T14:45:49", "doiPublishedTime": "2022-01-12T17:38:06", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33418/?format=api", "dataPath": "/neodc/bicep/data/particulate_organic_carbon/v4.2_update/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 256688997806, "numberOfFiles": 543, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8748/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2711/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43490/?format=api" ], "dataLineage": "Data were produced by the Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project and the product generation was supported by the National Centre for Earth Observation (NCEO).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10978/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/31968/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149181/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33411/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33412, "uuid": "5006f2c553cd4f26a6af0af2ee6d7c94", "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v5.0 dataset)", "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v5 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC datasets have been produced by using a modified empirical band ratio algorithm by Stramski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Remote Sensing Reflectance (Rrs) at 490 nm and 560 nm obtained from the ESA Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5). For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v4.2 data is also available (see link in the related records section).", "keywords": "NCEO, BICEP, Ocean, Particulate Organic Carbon, Ocean Colour Climate Change Initiative", "publicationState": "citable", "dataPublishedTime": "2021-12-21T14:42:15", "doiPublishedTime": "2022-01-12T17:36:21", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33419/?format=api", "dataPath": "/neodc/bicep/data/particulate_organic_carbon/v5.0/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 265400374948, "numberOfFiles": 561, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9174/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2711/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89185/?format=api" ], "dataLineage": "Data were produced by the Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project and the product generation was supported by the National Centre for Earth Observation (NCEO).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10977/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/31968/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149195/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33413/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33414, "uuid": "a6fc730d88fd4935b59d64903715d891", "title": "BICEP / NCEO: Monthly global Oceanic Export Production, between 1998-2019 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. Data is provided between 1998-2019 at 9 km resolution. It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset.\r\n\r\nExport production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption.", "keywords": "Oceanic Export Production, BICEP", "publicationState": "citable", "dataPublishedTime": "2021-12-21T16:31:50", "doiPublishedTime": "2022-02-17T14:46:30.618600", "updateFrequency": "notPlanned", "status": "pending", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33461/?format=api", "dataPath": "/neodc/bicep/data/oceanic_export_production/v1.0/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59142923301, "numberOfFiles": 265, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9191/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/43647/?format=api" ], "dataLineage": "The data was produced as part of the BICEP project, and has been supplied to the Centre for Environmental Data Analysis for long term archiving.\r\n\r\nThe data has been derived from the following datasets:\r\n\r\nSST is based on reprojected fields from GHRSST/OSTIA (doi:10.5067/GHOST-4FK01), Chl and kd490 is from OC-CCI (https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863, https://catalogue.ceda.ac.uk/uuid/db32212d86f9431dae67076dd122565e) and primary production from BICEP (https://catalogue.ceda.ac.uk/uuid/69b2c9c6c4714517ba10dab3515e4ee6) The algorithms used are described in the papers listed in the documentation section.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10984/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/31968/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149207/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33417/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33416, "uuid": "22ae54ba3ab14ce8aa6a5271dfddaeb3", "title": "JNCC Sentinel-1 indices Analysis Ready Data (ARD) Radar Vegetation Index (RVI)", "abstract": "These data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra NCEA project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains the following indices derived from Defra and JNCC Sentinel-1 Analysis Ready Data.\r\n\r\nRVI and RVIv files are generated for Sentinel-1 orbit 132 (ascending) every 12 days. \r\n\r\nIndices have been generated using the Defra and JNCC Sentinel-1 and Sentinel-2 ARD for the granules and scenes described above. As the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.", "keywords": "JNCC, ARD, RVI, Sentinel 1, EO indices, Analysis Ready Data, Sentinel", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33415/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_1/rvi/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 203305349, "numberOfFiles": 3, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9176/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149215/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33420, "uuid": "b953c9c8b41d4339b2a0a80fdc3cb840", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.11 (v20211207)", "abstract": "Data for Figure 2.11 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 2.11 includes mapped and time-series data showing global surface temperature relative to 1850 - 1900 over multiple time scales\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n---------------------------------------------------\r\n Figure has three panels, with data provided for panel (a) (center and right part), and panel (c).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\n Global surface temperature, relative to 1850 - 1900 for:\r\n\r\n Panel a: \r\n \r\n - 1000 to 1900 CE - from PAGES 2k Consortium (modified from the version 2019: 10.1038/s41561-019-0400-0)\r\n - 1850 to 2020 from AR6 assessed mean (same as Figure 2.11c).\r\n\r\n Panel c: \r\n \r\n - Annual and decadal means from instrumental data for 1850–2020, along with the uncertainty range from HadCRUT5.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file: Figure_2_11a-PAGES_2k_Consortium.csv (yearly data, 1000 to 1900); relates to the center part of the figure showing global surface temperature relative to 1850 -1900. (bold solid green line, column 2, median 10-yr smooth adjusted (+0.37°C), thin solid green lines: 5th (column 3) and 95th (column 4) percentiles of the ensemble members).\r\n - Data file: Figure2_11_panel_a.csv (yearly data, 1850 to 2020); relates to the right part of the figure showing global temperature anomaly AR6 assessed mean. (bold solid violet line, column 2)\r\n\r\nPanel c: \r\n \r\n - Data file: Figure_2_11c-land_and_ocean_time_series.csv (yearly data, 1850 to 2020); relates to the upper part of the figure showing global surface temperature relative to 1850 -1900. (Land, column 2, red line; Ocean, column 3, blue line).\r\n - Data file: Figure_2_11c-lower_panel.csv, (annual and decadal mean, 1850 to 2020); relates to the lower part of the figure. (black line, column 2, HadCRUT 5.0; cyan line, column 3, NOAA Global Temp; pink line, column 4, Berkeley Earth; orange line, column 5, Kadow et al.; grey shadow, columns 6 and 7, HadCRUT confidence limit)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.11, Global surface temperature", "publicationState": "published", "dataPublishedTime": "2022-03-31T14:48:05", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37091/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig11/v20211207/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 99809, "numberOfFiles": 8, "fileFormat": "csv, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9177/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149219/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149229/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33422/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33423, "uuid": "5aa32fb863a048f0b24c541639cfd990", "title": "RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1", "abstract": "The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. \r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nThe retrieval scheme has been applied to the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS). The data sub-set provided here comprises four months (April, July, September, December) of Suomi-NPP data in 2018 produced with the horizontal sampling of CrIS, ~18x18 km.\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme and production of this Suomi-NPP data sub-set were funded through NCEO. 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"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33428, "uuid": "71c2e401df5e4798b917ae4a353daff1", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.17 (v20211208)", "abstract": "Data for Figure 3.17 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.17 shows observed and simulated global monsoon domain, intensity, and circulation. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in a single file. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Observed and simulated global monsoon domain and summer minus winter precipitation and 850hPa wind velocity\r\n - Global land monsoon precipitation index and Northern Hemisphere summer monsoon circulation index.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All data are given in global_monsoon.nc file.\r\n\r\nPanel a:\r\n \r\n - uRef & vRef: vector\r\n - prRef: shading\r\n - domainRef: domain (1 = monsoon, 0 = not monsoon)\r\n\r\nPanel b:\r\n \r\n - uMME & vMME: vector\r\n - prMME: shading\r\n - domainMME: monsoon domain (1 = monsoon, 0 = not monsoon)\r\n\r\nPanel c:\r\n \r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip6: red curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip5: blue curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_amip: yellow curve and shading\r\n - GMprecip_CMAP: black dotted curve\r\n - GMprecip_CRU-TS: black solid curve\r\n - GMprecip_GPCC: black dashed-dotted curve\r\n - GMprecip_GPCP-SG: black dashed curve\r\n\r\n\r\nPanel d:\r\n \r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip6: red curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip5: blue curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_amip: yellow curve and shading\r\n - Max-min range of NHMcirc_20CRv3: grey hatching\r\n - NHMcirc_ERA-20C: black dash-dotted curve\r\n - NHMcirc_ERA5: black solid curve\r\n - NHMcirc_JRA-55: dashed curve\r\n - NHMcirc_MERRA2: dotted curve\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, which is given as the weight attribute of each variable.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.17, Global monsoon domain, monsoon precipitation, monsoon circulation, global land monsoon precipitation, Northern Hemisphere summer monsoon circulation index, CMIP5, CMIP6, AMIP", "publicationState": "citable", "dataPublishedTime": "2022-04-01T15:01:25", "doiPublishedTime": "2023-02-08T18:01:19.397972", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37116/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig17/v20211208", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1226552, "numberOfFiles": 4, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9179/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47698/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12363/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149258/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33430/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33431, "uuid": "eac7485cce194194b6731cb41ae463b5", "title": "JNCC Sentinel-1 indices Analysis Ready Data (ARD) Radar Vegetation Index (RVIv)", "abstract": "These data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra NCEA project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains the following indices derived from Defra and JNCC Sentinel-1 Analysis Ready Data.\r\n\r\nRVI and RVIv files are generated for Sentinel-1 orbit 132 (ascending) every 12 days. \r\n\r\nIndices have been generated using the Defra and JNCC Sentinel-1 and Sentinel-2 ARD for the granules and scenes described above. As the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.", "keywords": "JNCC, ARD, RVIv, Sentinel 1, EO indices, Analysis Ready Data, Sentinel", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33432/?format=api", "dataPath": "/neodc/sentinel_ard/indices/sentinel_1/rviv/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 225513124, "numberOfFiles": 3, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9176/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149268/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33440, "uuid": "4fe1afacdc524c118989c16a1bccd51e", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.33 (v20211209)", "abstract": "Data for Figure 3.33 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.33 shows observed and simulated Northern Annular Mode (NAM), North Atlantic Oscillation (NAO) and Southern Annular Mode (SAM) in boreal winter. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for panels (a), (d), (g) and (j) in the subdirectory named panel_adgj, panels (b), (e), (h) and (k) in the subdirectory named panel_behk, and panels (c), (f), (i) and (l) in the subdirectory named panel_cfil. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n - Observed sea level pressure anomalies associated with NAM.\r\n - Observed sea level pressure anomalies associated with NAO.\r\n - Observed sea level pressure anomalies associated with SAM.\r\n - Simulated sea level pressure anomalies associated with NAM.\r\n - Simulated sea level pressure anomalies associated with NAO.\r\n - Simulated sea level pressure anomalies associated with SAM.\r\n - Taylor statistics of sea level pressure anomalies associated with NAM.\r\n - Taylor statistics of sea level pressure anomalies associated with NAO.\r\n - Taylor statistics of sea level pressure anomalies associated with SAM.\r\n - 1958-2014 trends of the NAM index.\r\n - 1958-2014 trends of the NAO index.\r\n - 1979-2014 trends of the SAM index.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - nam_patterns(0, :, :) in panel_adgj/nam.obs.nc; shading\r\n - nam_pattern_significance in panel_adgj/nam.obs.nc; cross marker\r\n \r\n Panel b:\r\n - nao_patterns(0, :, :) in panel_behk/nao.obs.nc; shading\r\n - nao_pattern_significance in panel_behk/nao.obs.nc; cross marker\r\n \r\n Panel c:\r\n - sam_patterns(0, :, :) in panel_cfil/sam.obs.nc; shading\r\n - sam_pattern_significance in panel_cfil/sam.obs.nc; cross marker\r\n\r\n Panel d:\r\n - nam_patterns in panel_adgj/nam.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching\r\n \r\n Panel e: \r\n - nao_patterns in panel_behk/nao.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching\r\n \r\n Panel f: \r\n - sam_patterns in panel_cfil/sam.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching\r\n \r\n Panel g: \r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.amip.cmip6.nc: multimodel ensemble mean for the orange dot\r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot\r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot\r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.obs.nc: black dots\r\n \r\n Panel h: \r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.amip.cmip6.nc: multimodel ensemble mean for the orange dot\r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot\r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot\r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.obs.nc: black dots\r\n \r\n Panel i: \r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.amip.cmip6.nc: multimodel ensemble mean for the orange dot\r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot\r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot\r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.obs.nc: black dots\r\n \r\n Panel j: \r\n - nam_pc_trends in panel_adgj/nam.amip.cmip6.nc: multimodel ensemble mean for orange vertical line\r\n - nam_pc_trends in panel_adgj/nam.hist.cmip5.nc: multimodel ensemble mean for blue vertical line\r\n - nam_pc_trends in panel_adgj/nam.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line\r\n - nam_pc_trends in panel_adgj/nam.obs.nc: black vertical lines\r\n \r\n Panel k: \r\n - nao_pc_trends in panel_behk/nao.amip.cmip6.nc: multimodel ensemble mean for orange vertical line\r\n - nao_pc_trends in panel_behk/nao.hist.cmip5.nc: multimodel ensemble mean for blue vertical line\r\n - nao_pc_trends in panel_behk/nao.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line\r\n - nao_pc_trends in panel_behk/nao.obs.nc: black vertical lines\r\n \r\n Panel l: \r\n - sam_pc_trends in panel_cfil/sam.amip.cmip6.nc: multimodel ensemble mean for orange vertical line\r\n - sam_pc_trends in panel_cfil/sam.hist.cmip5.nc: multimodel ensemble mean for blue vertical line\r\n - sam_pc_trends in panel_cfil/sam.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line\r\n - sam_pc_trends in panel_cfil/sam.obs.nc: black vertical lines\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and histograms are obtained after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.\r\n\r\nMultimodel ensemble mean of the pattern correlation in Taylor statistics is calculated via Fisher z-transformation and back transformation.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.33, Annular Modes, NAM, SAM, NAO, modes of variability, CMIP5, CMIP6", "publicationState": "citable", "dataPublishedTime": "2022-04-01T16:19:28", "doiPublishedTime": "2023-02-08T19:21:40.702995", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37119/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig33/v20211209", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 247214943, "numberOfFiles": 15, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9182/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47643/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12379/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149299/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33442/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33446, "uuid": "25d4a6597d954721bc4a616d094b0cda", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.32 (v20211210)", "abstract": "Data for Figure 3.32 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.32 shows relative change in the amplitude of the seasonal cycle of global land carbon uptake in the historical CMIP6 simulations from 1961-2014. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Observed seasonal cycle amplitude of global land carbon uptake\r\n - Simulated seasonal cycle amplitude of global land carbon uptake\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_3_32_main.nc:\r\n \r\n - Multi-Model Mean: dim0 = 0, red solid line. [red shaded region: (dim0=0) +- (dim0=1))]\r\n - JMA-TRANSCOM: dim0 = 2, black dotted line.\r\n - CO2-MLO: dim0 = 3, black solid line. [black shaded region: (dim0=3) +- (dim0=4))]\r\n - CO2-GLOBAL: dim0 = 5, black dashed line.\r\n\r\nfig_3_32_inset.nc:\r\n \r\n - Multi-Model Mean for 1961-1970 (orange): dim0 = 0 (shaded region(dim0=0) +- (dim0=1))\r\n - Multi-Model Mean for 2005-2014 (green): dim0 = 2 (shaded region(dim0=2) +- (dim0=3))\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.32, amplitude of the seasonal cycle, global land carbon uptake", "publicationState": "citable", "dataPublishedTime": "2022-04-01T15:57:16", "doiPublishedTime": "2023-02-08T19:20:49.883918", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37118/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig32/v20211210", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 32114, "numberOfFiles": 5, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9183/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47702/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12378/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149317/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33448/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 33451, "uuid": "691c673c0d204911893659e10d4ddcba", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.37 (v20211215)", "abstract": "Data for Figure 2.37 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.37 shows indices of interannual climate variability from 1950-2019 based upon several sea surface temperature data products\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five panels, with data provided for all panels in one single directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - IOB.nc contains IOB index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - IOD.nc contains IOD index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - NINO34.nc contains Nino 3.4 index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - AMM.nc contains AMM index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - AZM.nc contains AZM index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n \r\n Data acronyms:\r\n COBE [Objective Analyses of Sea-Surface Temperature and Marine Meteorological Variables for the 20th Century using ICOADS (International Comprehensive Ocean-Atmosphere Data Set) and the Kobe Collection].\r\n ERSST [NOAA Extended Reconstructed Sea Surface Temperature].\r\n HADI [Hadley Centre Sea Ice and Sea Surface Temperature data set].\r\n KAPL [Kaplan Extended SST].\r\n OISST [NOAA Optimum Interpolation Sea Surface Temperature].\r\n IOB [Indian Ocean Basin]\r\n IOD [Indian Ocean Dipole]\r\n AMM [Atlantic Meridional Mode]\r\n AZM [Atlantic Zonal Mode]\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n First panel:\r\n - Data file: IOB.nc\r\n \r\n Second panel:\r\n - Data file: IOD.nc\r\n \r\n Third panel:\r\n - Data file: Nino34.nc\r\n \r\n Fourth panel:\r\n - Data file: AMM.nc\r\n \r\n Fifth panel:\r\n - Data file: AZM.nc\r\n \r\n In all the cases:\r\n - Blue line corresponds to COBE data set\r\n - Red correspinds to ERSST data set\r\n - Skyblue corresponds to HADI data set\r\n - Green corresponds to KAPL data set\r\n - Yellow corresponds to OISST data set\r\n For all the nc files the sources are arranged in columns 1 to 5, respectively.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 2, Changing state, Multi-millennial context, pre-industrial, Natural forcing, anthropogenic forcing, Radiative forcing, Large-scale indicators, observed changes, Modes of variability, Figure 2.37, AZM, AMM, IOB, IOD, Niño 3.4", "publicationState": "citable", "dataPublishedTime": "2023-05-15T10:33:42", "doiPublishedTime": "2023-07-03T20:18:11", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40048/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig37/v20211215/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 27263, "numberOfFiles": 8, "fileFormat": "Net-CDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9186/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85532/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12620/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32717/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196264/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33453/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 33460, "uuid": "4bbcb1722f2842c1b0a5ebc19160a863", "title": "STFC RAL methane retrievals from IASI on board MetOp-B, version 2.0", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0 of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nDevelopment of the Version 2.0 scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+.\r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).", "keywords": "methane, IASI, optimal estimation, retrieval, averaging kernels, assimilation", "publicationState": "citable", "dataPublishedTime": "2022-01-18T18:05:28", "doiPublishedTime": "2022-01-20T15:39:58.056345", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34646/?format=api", "dataPath": "/neodc/iasi_ch4_ral/data/metop-b/l2/tir/v2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 802812457119, "numberOfFiles": 242324, "fileFormat": "Data are in NetCDF format" }, "timePeriod": 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