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=5200
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5300", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5100", "results": [ { "ob_id": 25241, "uuid": "e1792258138d410f8dd78d8ffbfc537a", "title": "FAAM C032 CLARIFY flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for CLouds and Aerosol Radiative Impacts and Forcing: Year 2016 (CLARIFY-2016) project.", "keywords": "CLARIFY, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2017-10-03T13:15:11.949892", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25240/?format=api", "dataPath": "/badc/faam/data/2017/c032-aug-19", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1663115615, "numberOfFiles": 38, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6827/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4286/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26180/?format=api", 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It also contains the 2D and 3D output files from these simulations.\r\n\r\nThe PRESTO project was funded by the Natural Environment Research Council (NERC) with the grant references - NE/I024984/1 and NE/I026545/1 - led by Professor Suzanne Gray (University of Reading) and Professor David Schultz (University of Manchester). \r\n\r\nPRESTO provided a leap forward in the understanding and prediction of quasi-stationary orographic convection in the UK and beyond. This was achieved through an intensive climatological analysis over several regions of the globe where continuous radar data was available, which identified the environmental conditions that support the bands and their characteristic locations and morphologies. Complementary high-resolution numerical simulations pinpointed the underlying mechanisms behind the bands and their predictability in numerical weather prediction models. This work provides positive impacts for the forecasting community, general public, and other academics in the field. Forecasters benefit from the identification of simple diagnostics that can be used operationally to predict these events based on available model forecasts and/or upstream soundings. A series of activities were used to directly engage with forecasters to effectively disseminate our findings. The public benefit from this improved forecasting of potentially hazardous precipitation events. 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for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. 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Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. 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It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. 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resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. 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The investigations are independent of any monitoring carried out by the industry or the regulators, and information collected from the programme will be made freely available to the public. \r\n\r\n-----------------------------------------------------------------------------------------------\r\nIf you use these data, please note the requirement to acknowledge use.\r\n\r\nUse of data and information from the project:\r\n\"Science-based environmental baseline monitoring associated with shale gas development in the Vale of Pickering, Yorkshire (including supplementary air quality monitoring in Lancashire)\", led by the British Geological Survey\r\n\r\nPermission for reproduction of data accessed from the CEDA website is granted subject to inclusion of the following acknowledgement:\r\n\"These data were produced by the Universities of Manchester and York (National Centre for Atmospheric Science) in a collaboration with the British Geological Survey and partners from the Universities of Birmingham, Bristol and Liverpool and Public Health England, undertaking a project grant-funded by the Department for Energy & Climate Change (DECC), 2015-2016. \"\r\n----------------------------------------------------------------------------------------------------------", "keywords": "volatile organic compounds, VOC", "publicationState": "published", "dataPublishedTime": "2018-01-08T14:45:56", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25409/?format=api", "dataPath": "/badc/env-baseline/data/little-plumpton/hc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7225, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6877/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1638/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52353/?format=api" ], "dataLineage": "Data collected by the project team and supplied to the Centre of Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19625/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/19978/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105594/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25410/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2589/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ebl.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 25411, "uuid": "455789be9523496a99bdcfa78620c7d2", "title": "Environmental Baseline Project: Surface meteorological measurements from Little Plumpton", "abstract": "This dataset contains wind speed and direction, pressure, temperature and humidity measurements for the Little Plumpton site.\r\n\r\nBritish Geological Survey (BGS), the universities of Birmingham, Bristol, Liverpool, Manchester and York and partners from Public Health England (PHE) and the Department for Business, Energy and Industrial Strategy (BEIS), are conducting an independent environmental baseline monitoring programme near Kirby Misperton, North Yorkshire and Little Plumpton, Lancashire. These are areas where planning permission has been granted for hydraulic fracturing.”\r\n\r\nThe monitoring allows the characterisation of the environmental baseline before any hydraulic fracturing and gas exploration or production takes place in the event that planning permission is granted. The investigations are independent of any monitoring carried out by the industry or the regulators, and information collected from the programme will be made freely available to the public.", "keywords": "meteorology, hydraulic fracture, fracking", "publicationState": "published", "dataPublishedTime": "2019-05-20T12:38:05", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25412/?format=api", "dataPath": "/badc/env-baseline/data/little-plumpton/met", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 110156900, "numberOfFiles": 58, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6878/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1638/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56459/?format=api" ], "dataLineage": "Data collected by the project team and supplied to the Centre of Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19625/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/19978/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105603/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25413/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2589/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ebl.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 25414, "uuid": "9c43b65c191b44cba2abb5f5c8821f20", "title": "Bias adjusted ERA-Interim Reanalysis for energy-relevant climate variables", "abstract": "This dataset contains the construction of a bias-adjusted climate variables at the near surface using ERA-Interim Reanalysis is presented. A number of different, variable-dependent, bias-adjustment approaches have been proposed. Here we modify the parameters of different distributions (depending on the variable), adjusting ERA-Interim based on gridded station or direct station observations. The variables are: air temperature, dewpoint temperature, precipitation (daily only), solar radiation, wind speed and relative humidity. These are available at either 3 or 6 h timescales over the period 1979-2016. The resulting bias-adjusted dataset is available through the Climate Data Store (CDS) of the Copernicus Climate Change Data Store (C3S). The benefit of performing bias-adjustment is demonstrated by comparing initial and bias-adjusted ERA-Interim data against gridded observational fields.", "keywords": "Reanalysis, ERA-Interim, climate variables, bias adjustment, energy sector", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6879/?format=api", "geographicExtent": null, "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were delivered to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24960/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105620/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 25417, "uuid": "d920cb54fe694711b59379f2b1b1f569", "title": "Internal waves density and seabed interaction maps of UK continental shelf (2006-2012)", "abstract": "This dataset contains observational frequency maps of internal waves (IW) within the UK Continental Shelf (UKCS) region. The maps were generated by automatic processing of the ENVISAT Advanced Synthetic Aperture Radar (ASAR) data archive covering the period from 2006 to 2012. The IW frequency maps were combined with bathymetry and mixed layer depth modelling data to estimate the interaction of IWs with the sea bed. The results are presented in monthly, seasonal, annual and climatology maps.", "keywords": "Internal waves, seabed impact, SAR", "publicationState": "citable", "dataPublishedTime": "2018-01-03T10:19:50", "doiPublishedTime": "2018-01-03T10:52:28.508910", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25418/?format=api", "dataPath": "/badc/deposited2017/wave_density_map/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 458774882, "numberOfFiles": 3, "fileFormat": "Data are NetCDF, tar, GeoTIFF and PNG formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6880/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1873/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "These data have been 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/9362/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/25415/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105633/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25416/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 25419, "uuid": "072418297ba548b58a710f3d2692b23c", "title": "GloCAEM: Atmospheric electricity measurements at Tripura University, India", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a EFM-100 Atmospheric Electric Field Monitor at Tripura University, India.", "keywords": "GloCAEM, GEC, electric potential, electric field", "publicationState": "published", "dataPublishedTime": "2018-08-01T15:20:37", "doiPublishedTime": null, "updateFrequency": "unknown", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25420/?format=api", "dataPath": "/badc/glocaem/data/tripura", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5455647305, "numberOfFiles": 5177, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6758/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1874/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54186/?format=api" ], "dataLineage": "Data collected by project team and sent to CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20068/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24981/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105646/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25421/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2546/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 25425, "uuid": "de37c54e59a548ccb9f168ee724f3769", "title": "APHH: Volatile organic compound (VOC) mixing ratios made at the IAP-Beijing site during the summer and winter campaigns", "abstract": "This dataset contains volatile organic compound (VOC) mixing ratios recorded during two intensive field campaigns in Beijing (winter: 12/11/2016 - 10/12/2016; and summer: 15/05/2017 - 24/06/2017) as part of the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. \r\n\r\nThe species recorded include methanol, acetonitrile, acetaldehyde, acrolein, acetone, isoprene, methyl vinyl ketone and methacrolein, methyl ethyl ketone, benzene, toluene, C2-benzenes, C3-benzenes and monoterpenes. 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Data are averaged over 5 mins, the time stamp represents the start time of each averaging period. Missing data are either due to baseline measurements, calibrations or instrument malfunction. They are not retrievable.", "keywords": "HONO, China, LOPAP, APHH", "publicationState": "citable", "dataPublishedTime": "2018-01-11T12:07:14", "doiPublishedTime": "2019-12-13T14:39:23", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25431/?format=api", "dataPath": "/badc/aphh/data/beijing/birm-gas", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1118698, "numberOfFiles": 11, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6882/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1856/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51678/?format=api" ], "dataLineage": "Data produced by APHH project participants at University of Birmingham and uploaded to CEDA archive", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10668/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105693/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25430/?format=api", "procedureCompositeProcess": null, "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": 25437, "uuid": "5f56428ca2674a45bbf97179d853df0e", "title": "Amazonica: Greenhouse gas profile measurements (CO, CO2, CH4) above the forest canopy at four sites", "abstract": "Profiles of greenhouse gases CO, CO2 and CH4 taken on board a small aircraft descending in a spiral from approximately 4,420m to about 300m a.s.l. (as close to the forest canopy as possible). Samples were taken by semi-automatically filling 12 (for the Tabatinga (TAB 69.7W, 6.0S), Alta Floresta (ALF 56.7W, 8.9S) and Rio Branco (RBA 67.9W, 9.3S) sites) and 17 (for the Santarem (SAN 65.0W, 2.9S) site) 0.7-litre flasks controlled from a microprocessor and contained in one suitcase. \r\n\r\nThe profiles were taken frequently throughout the measurement campaign (2010-2012) between 12:00 and 13:00 local time - at which time, the boundary layer is close to being fully developed. Once a vertical profile had been sampled (one suitcase filled) it was analysed at the IPEN Atmospheric Chemistry Laboratory in Sao Paulo, using a replica of the NOAA/ ESRL trace gas analysis system.", "keywords": "Amazonica, carbon, methane, carbon dioxide Amazon, aircraft,", "publicationState": "published", "dataPublishedTime": "2016-11-29T09:57:54", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/20099/?format=api", "dataPath": "/badc/amazonica/data/greenhousegases/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1082148, "numberOfFiles": 10, "fileFormat": "Data are ASCII and NASA Ames formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6883/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1652/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/2731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25856/?format=api" ], "dataLineage": "Data were collected by the AMAZONICA team and analysed at the IPEN Atmospheric Chemistry Laboratory in Sao Paulo, Brazil, using a replica of the NOAA/ ESRL trace gas analysis system; then deposited at BADC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9363/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/2909/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2906/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105709/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/24971/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 25453, "uuid": "9d0141ea84bd45efa6139c85cb76bab1", "title": "FAAM C040 CLARIFY flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for CLouds and Aerosol Radiative Impacts and Forcing: Year 2016 (CLARIFY-2016) project.", "keywords": "CLARIFY, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2017-10-06T08:15:18.590441", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25452/?format=api", "dataPath": "/badc/faam/data/2017/c040-aug-26", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1255470768, "numberOfFiles": 37, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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These data are global sub-daily surface meteorological data that extends HadISD v2.0.1.2016f to include 2017 and so spans 1931-2017. These data include an update to the station selected and contain 8103 stations. These are the preliminary data for this version, a finalised version will be released in a few months with any station updates.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20171231_v2-0-2-2017p.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. 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The LiDAR and aerial photograph data were collected for the NERC funded project (NE/K001132/1) 'Evaluating and modelling the impact of extreme events on South African dryland rivers: Cyclone Dando (January 2012)'.\r\n\r\nSouthern Mapping Geospatial were commissioned in South Africa to undertake the LiDAR flights for the NERC-funded project. Processed data of point cloud, processed contours, and aerial image files were provided. Data were retrieved using an Optech Orion M200 LiDAR which scanned the ground at 70 kHz, and a Rollei AIC with 60 megapixel P65+ and Phase One digital CCD, flown at 1100m from a Cessna 206. The survey concentrated on three 50 km reaches of the Olifants, Sabie and Letaba rivers surveyed on 30th May 2012, nearly 5 months after a large Cyclone driven flood in January 2012. \r\n\r\nThe folders include:\r\n 1) Index - contains a .dgn file to position data in ArcMap, \r\n 2) Points - contains sub-folders with the raw LiDAR point cloud data; ground points and vegetation at different heights indicated by the folder label \r\n 3) Report - summary report provided by Southern mapping who we commissioned to fly the LiDAR\r\n 4) Contour data in dgn and dwg format, \r\n 5) Image tiles\r\n", "keywords": "LiDAR, aerial photographs, Kruger National Park, Dryland river, point cloud data, Sabie river, Olifants river, Letaba river, survey data", "publicationState": "published", "dataPublishedTime": "2018-03-16T10:38:35", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25885/?format=api", "dataPath": "/badc/deposited2018/cyclone-dando_lidar/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12412327041, "numberOfFiles": 4537, "fileFormat": "Contours (dgn, dwg), Images (ecw), point cloud (txt)" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6989/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2186/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data was prepared and sent to Centre for Environmental Data Analysis (CEDA) for archiving by the project team.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/25858/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108012/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25877/?format=api", "procedureCompositeProcess": null, "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": 25866, "uuid": "54e2ee0803764b4e84c906da3f16d81b", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the winter months of October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012.", "keywords": "Sea Ice, ESA, CCI, Arctic", "publicationState": "citable", "dataPublishedTime": "2018-05-25T11:00:11", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26089/?format=api", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v2.0/NH/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2145571127, "numberOfFiles": 2064, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7039/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2204/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69537/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9569/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14367/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109230/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26084/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2573/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 25867, "uuid": "f4c34f4f0f1d4d0da06d771f6972f180", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the ENVISAT satellite at Level 3C (L3C). 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Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB-1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2b ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW (short wave) and TOT (total) GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2b ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF).", "keywords": "GERB, solar, thermal, radiation", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25995/?format=api", "dataPath": "/badc/gerb/data/gerb-1/l2barg", "oldDataPath": [ "https://api.catalogue.ceda.ac.uk/api/v2/results/33253/?format=api" ], "storageLocation": "internal", "storageStatus": "online", "volume": 1074, "numberOfFiles": 2, "fileFormat": "Data are HDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3616/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/70/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected by the GERB instrument onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), then the data processed at RMIB (Royal Meteorological Institute of Belgium) then sent to CEDA by the GERB team at Imperial College and RAL (Rutherford Appleton Laboratory).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/3845/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/3842/?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/108212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108219/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/3855/?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": 25884, "uuid": "83f6530dedb94937924f48edad347fff", "title": "Merged SST and LST reconstructed anomaly averaged annually and between 90°S and 90°N", "abstract": "This dataset contains merged Sea Surface Temperature (SST) and Land Surface Temperature (LST) reconstructed anomaly averaged annually and between 90°S and 90°N. The anomalies are calculated with respect to the 1961–1990 mean, to help define long-term temperature variations over the twentieth century. The data were calculated in 2004 and data spans period from 1880 to 2009.", "keywords": "SST, LST, anomaly, ", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6986/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data archived by IPCC DDC", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108225/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/25883/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 25886, "uuid": "8eb35b1ab1b2476986d174a2f0231307", "title": "IASI global monthly averages of effective sulphur dioxide (SO2) column amounts, 2007 - 2014, version 1.0", "abstract": "This dataset contains global monthly averaged effective sulphur dioxide (SO2) column amounts derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite. The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Walker et al. (2011, 2012) linear retrieval developed for the Infrared Atmospheric Sounding Interferometer, which is able to detect sulphur dioxide (SO2) gas. This dataset contains monthly averages of this retrieval output from June 2007 to December 2014 across the globe, within which it is possible to identify the period and the location of when we have an anomaly of SO2 in atmosphere. This includes volcanic eruptions alongside non-eruptive volcanic degassing, and human pollution sources. \r\n\r\nWithin the dataset are the average effective SO2 column amounts in Dobson Units (DU) for 0.125º by 0.125º gridboxes across the globe. Also included for each grid box are the standard deviation, and the number of pixel boxes contributing to the mean. The results from this dataset are discussed in Taylor et al. (2018) 'Exploring the utility of IASI for monitoring volcanic SO2 emissions' in review at JGR: Atmospheres.", "keywords": "IASI, SO2, volcanic emissions, satellite observation, thermal infrared spectra", "publicationState": "published", "dataPublishedTime": "2018-03-15T11:50:00", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25890/?format=api", "dataPath": "/neodc/iasi_so2_oxford/data/monthly_mean/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4535221367, "numberOfFiles": 92, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6990/?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/1635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23301/?format=api" ], "dataLineage": "These data were produced by the Earth Observation Data Group, Atmospheric, Oceanic and Planetary Physics, University of Oxford, as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data were then supplied to CEDA to be archived.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9521/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/25891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108237/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/25889/?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": 25892, "uuid": "62cc25997f58459581879553f3a25e19", "title": "Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat): Monthly maps of wet and dry snow over a Himalayan river basin (January 2015 to July 2017)", "abstract": "This dataset contains monthly maps of dry and wet snow for a Himalayan river basin in northern India. The data were collected as part of the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project aimed at improving our understanding on how water is stored in, and moves through, a Himalayan river system in northern India. \r\n\r\nThe maps were obtained by combining satellite remote sensing images from Sentinel-1 and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resolution of the maps is 500m and the coordinate system is EPSG:4326. The dry snow data correspond to the MODIS land cover product (MCD12Q1). The wet snow data were obtained from Sentinel-1 by applying a -2dB threshold on the backscatter ratio between a Sentinel-1 image with wet snow and a reference Sentinel-1 image with only dry snow. \r\n\r\nThe possible pixel values are: \r\n0: no snow, \r\n1-100: wet snow cover fraction, \r\n101-200: dry snow cover fraction with an offset of 100, \r\n240: missing Sentinel-1 data, \r\n250: pixel wrongly identified as wet snow by Sentinel-1 (false positives), \r\n255: fill value. \r\n\r\nThe images are GeoTIFF formatted.", "keywords": "Himalayan, wet, dry, snow, hydrology, Sentinel-1, MODIS, sushi-wat", "publicationState": "citable", "dataPublishedTime": "2018-03-16T15:35:39", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25894/?format=api", "dataPath": "/badc/deposited2018/sushi-wat_snow-maps/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 30447071, "numberOfFiles": 31, "fileFormat": "The images are GeoTIFF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6991/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2187/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data was prepared and sent to Centre for Environmental Data Analysis (CEDA) for archiving by the project team.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9681/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24877/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108267/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25893/?format=api", "procedureCompositeProcess": null, "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": 25897, "uuid": "3d23afc9bb024c558058749faae4cf2d", "title": "The impact of stratospheric ozone feedbacks on climate sensitivity estimates", "abstract": "Data for each figure presented in the paper 'The impact of stratospheric ozone feedbacks on climate sensitivity estimates', as appeared in Journal of Geophysical Research: Atmospheres in the year 2018.\r\n- The temporal resolution ('temporalResolution'): depends on the variable: annual means or multi-annual-means.\r\n- 'timeslice' climate model simulations using the HadGEM3-AO model from the UK Met Office, coupled to the interactive atmospheric chemistry scheme UKCA. References to model descriptions can be found in the publication. The simulations consist of a pre-industrial control run (A) and several abrupt4xCO2 simulations carried out with different treatments of atmospheric chemistry (B, D1, D2).\r\n- 'umid' is the ID of the simulation, to be read from the stitching table.\r\n- 'variable' names: 'temp': temperature, 'olr': Outgoing longwave radiation at the top of the atmosphere (TOA), 'csolr': same as olr but under clear sky conditions, 'field207': upward clear sky shortwave flux at the TOA, 'field201': Outgoing SW Flux at the TOA, 'tracer1': ozone mass mixing ratios, 'field1426': frozen cloud fraction in each grid cell, 'q': specific humidity, 'u': zonal wind component, 'ht': tropopause height in km following the WMO lapse rate definition.\r\n", "keywords": "", "publicationState": "published", "dataPublishedTime": "2018-05-23T15:35:43", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25896/?format=api", "dataPath": "/badc/deposited2018/acci_JGR_2018/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 310100, "numberOfFiles": 25, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6992/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2188/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61266/?format=api" ], "dataLineage": "Model simulations with the HadGEM3-AO global climate model on the MonSooN supercomputer (both UK Met Office). 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Sentinel 5P was launched on 13th October 2017. Level 1b data is geo-located and radiometrically corrected top of the atmosphere Earth radiances in all spectral bands. There is one L1b radiance product type for each spectral band (product identifiers L1B_RA_BD1 through L1B_RA_BD8). The radiance products are the main input for the Level-2 processors.\r\n\r\nSentinel 5P aims to provide atmospheric measurements relating to air quality, climate forcing, ozone and ultraviolet radiation. This data looks to build on the data from GOME, SCIAMACHY and OMI missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user.", "keywords": "Radiance, ESA, Sentinel 5P", "publicationState": "published", "dataPublishedTime": "2022-11-04T15:24:10", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26539/?format=api", "dataPath": "/neodc/sentinel5p/data/L1_RA/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 840668105427159, "numberOfFiles": 590321, "fileFormat": "These data are in NetCDF format. 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Downloaded from the Collaborative Hub for use by registered users of CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12321/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/186573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108307/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26540/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2586/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 25912, "uuid": "cddfe3093be247d7bac56c9fa9edb3d5", "title": "Identification and classification of Cirrus (IC-CIR): A cirrus classification based on satellite and reanalysis data (2003-2013)", "abstract": "Cirrus clouds play an important role in determining the radiation budget of the earth, but many of their properties remain uncertain, particularly their response to aerosol variations and to warming. Part of the reason for this uncertainty is the dependence of cirrus cloud properties on the cloud formation mechanism, which itself is strongly dependent on the local meteorological conditions. This classification system is designed to identify cirrus clouds by the cloud formation mechanism. Using re-analysis and satellite data, cirrus clouds are separated in four main types: orographic, frontal, convective and synoptic. Comparisons with convection-permitting model simulations and back-trajectory based analysis have shown that this classification can provide useful information on the cloud scale updraughts and the frequency of occurrence of liquid-origin ice, with the convective regime having higher updraughts and a greater occurrence of liquid-origin ice compared to the synoptic regimes (see description paper).\r\nThis classification is designed to be easily implemented in global climate models - the observational classification results are made available make this comparison easier. The classification has been generated globally for the years 2003-2013 inclusive. Making use of the moderate\r\nresolution imaging spectrometer (MODIS) on-board the Aqua satellite, the classification exists only at 13:30 local solar time each day.\r\n\r\nThe regimes used within this classification are defined as follows (further details are given in the description paper)\r\nOrographic - proximity to regions of large-scale topography variation\r\nFrontal - satellite detected cirrus clouds that intersect to atmospheric fronts determined from reanalysis data\r\nConvective - satellite detected cirrus clouds in regions of large scale ascent determined from reanalysis data\r\nSynoptic - Not assigned as one of the other regimes. \r\n\r\nData are gridded NetCDF V4 files, provided on a regular longitude-latitude grid at a 1 by 1 degree resolution across the whole globe. The files provide the classification at 13:30 local solar time (the satellite overpass time) and are at a daily resolution, within a folder defining the year. The filename structure is: {year}/IC-CIR.{year}.{day_of_year}.v1.nc where {year} is the year of the data and {doy of year} starts with 001 on the first of January.\r\nFurther details about the data, including comparisons to convection-resolving model simulations can be found in the description paper (Gryspeerdt et al., ACP, 2018).\r\n", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2018-03-16T16:35:32", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25911/?format=api", "dataPath": "/badc/deposited2018/ic-cir/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 337179395, "numberOfFiles": 4019, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6998/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2194/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63011/?format=api" ], "dataLineage": "This classification is derived using data from the moderate resolution imaging spectrometer (MODIS) on-board the Aqua satellite and from the ERA-Interim Reanalysis, created by ECMWF. The MODIS data used is collection 6 of the 1 by 1 degree gridded daily product (MYD08_D3), originating from the NASA Goddard Space Flight Center.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9555/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/25913/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108321/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25914/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 25916, "uuid": "e493802d83c846c8b76f817866fb74cc", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the WFMD algorithm (CO2_SCI_WFMD), v4.0", "abstract": "The CO2_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. It has been produced using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.\r\n\r\nThe WFM-DOAS algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. Note that this has been designated as an 'alternative' algorithm for the GHG_cci and another XCO2 product has also been generated from the SCIAMACHY data using the baseline algorithm (the Bremen Optimal Estimation DOAS (BESD) algorithm). It is advised that users who aren't sure whether to use the baseline or alternative product use the product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage. \r\n\r\nThe data product is stored per day in seperate NetCDF-files (NetCDF-4 classic model). The product files contain the key products, i.e. the retrieved column-averaged dry air mole fractions for XCO2, several other useful parameters and additional information relevant to using the data e.g. the averaging kernels. For further information on the product, including details of the WFMD algorithm, the SCIAMACHY instrument and issues associated with the data please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.", "keywords": "ESA, GHG, CCI, CO2, WFMD", "publicationState": "published", "dataPublishedTime": "2018-03-19T20:57:44", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25917/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CO2_SCI_WFMD/v4.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1512877508, "numberOfFiles": 3301, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3602/?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/54763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82826/?format=api" ], "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12808/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108332/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/8036/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2564/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 25918, "uuid": "9255faeb392f41debf5402caa40dada8", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Column-averaged CO2 from GOSAT generated with the OCFP (UoL-FP) algorithm (CO2_GOS_OCFP), v7.0", "abstract": "The CO2_GOS_OCFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the University of Leicester Full-Physics Retrieval Algorithm, which is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product, generated using the alternative SRFP algorithm, is also available. The OCFP product is considered the GHG_cci baseline product and it is advised that users who aren't sure which of the two products to use, use this product. For more information regarding the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.\r\n\r\nThe XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG).", "keywords": "ESA, GHG, CCI, CO2", "publicationState": "published", "dataPublishedTime": "2018-03-19T20:57:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25919/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CO2_GOS_OCFP/v7.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1829382960, "numberOfFiles": 2388, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7000/?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", 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Note that the results since November 2005 are considered to be of reduced quality in comparison to the earlier results because the extended-wavelength part (1590-1770 nm) of SCIAMACHY's channel 6, covering the methane 2v3 absorption band used for the methane retrieval, is subject to irreversible displacement damage induced by high energy solar protons, which occurs from time to time at individual detector pixels. 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It has been produced using data acquired from the SWIR spectra (channel 6) of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's (ESA's) environmental research satellite ENVISAT using the IMAP-DOAS algorithm. It has been generated as part of ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the dataset is v7.2 and forms part of the Climate Research Data Package 4.\r\n\r\nThe IMAP-DOAS algorithm has been developed at the University of Heidelberg and SRON, and has been applied here to the SCIAMACHY data. This procedure and the algorithms validity are thoroughly described in Frankenberg et al (2011). A second product is also available which has been generated using the Weighting Function Modified DOAS (WFM-DOAS) algorithm. \r\n\r\nThe data product is stored per orbit in a single NetCDF4 file. Retrieval results are provided for the individual SCIAMACHY spatial footprints, no averaging having been applied. The product file contains the key products and information relevant to using the data, such as the vertical layering and averaging kernels. For further details on the product, including the IMAP algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document.", "keywords": "ESA, GHG, CCI, CH4, IMAP", "publicationState": "published", "dataPublishedTime": "2018-03-19T21:16:29", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25927/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CH4_SCI_IMAP/v7.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4783721146, "numberOfFiles": 2896, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7003/?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/11790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26290/?format=api" ], "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12808/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108377/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/8036/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2564/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 25928, "uuid": "f9154243fd8744bdaf2a59c39033e659", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCPR (UoL-PR) Proxy algorithm (CH4_GOS_OCPR), v7.0", "abstract": "This CH4_GOS_OCPR dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4.) The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the OCPR University of Leicester Proxy Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the data is v7.0 and forms part of the Climate Research Data Package 4.\r\n\r\nThis algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals. A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents.", "keywords": "ESA, GHG, CCI, CH4, Proxy", "publicationState": "published", "dataPublishedTime": "2018-03-19T21:23:20", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/25929/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_OCPR/v7.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4746545381, "numberOfFiles": 2396, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7004/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ 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It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the University of Leicester Full-Physics Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version is version 2.1 and forms part of the Climate Research Data Package 4.\r\n\r\nThe University of Leicester Full-Physics Retrieval Algorithm is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and has been modified for use on GOSAT spectra. A second GOSAT CH4 product, generated using the SRFP algorithm, is also available.\r\n\r\nThe XCH4 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. 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It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra onboard the Japanese Greenhouse gases Observing Satellite (GOSAT) using the SRFP (RemoTec) algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the dataset is v2.3.8 and forms part of the Climate Research Data Package 4.\r\n\r\nThe RemoTeC SRFP baseline algorithm is a Full Physics algorithm. The data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key products with and without bias correction. Information relevant for the use of the data is also included in the data file, such as the vertical layering and averaging kernels. 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It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the RemoTeC SRPR Proxy Retrieval algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the data is version 2.3.8, and forms part of the Climate Research Data Package 4. \r\n\r\nThis Proxy Retrieval product has been generated using the RemoTeC SRPR algorithm, which is being jointly developed at SRON and KIT. This has been designated as an 'alternative' GHG CCI algorithm, and a separate product has also been generated by applying the baseline GHG CCI proxy algorithm (the University of Leicester OCPR algorithm). It is advised that users who aren't sure whether to use the baseline or alternative product use the OCPR product generated with the baseline algorithm. For more information regarding the differences between the baseline and alternative algorithms please see the GHG-CCI data products webpage. \r\n\r\nThe data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. As well as containing the key product, the product file contains information relevant for the use of the data, such as the vertical layering and averaging kernels. The parameters which are retrieved simultaneously with XCH4 are also included (e.g. surface albedo), in addition to retrieval diagnostics like quality of the fit and retrieval errors. 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