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=2300
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=2400", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=2200", "results": [ { "ob_id": 14427, "uuid": "4761751d7c844e228ec2f5fe11b2e3b0", "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 1.6.1", "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a set of Global Land Cover Maps have been produced. These are available at 300m spatial resolution for three epochs centred on the year 2010 (2008-2012), 2005 (2003-2007) and 2000 (1998-2002), where each epoch covers a 5-year period.\r\n\r\nEach pixel value corresponds to the label of a land cover class defined using UN-LCCS classifiers. For each epoch, the land cover map is delivered along with 4 quality flags which document the reliability of the classification. These are described further in the Product User Guides.\r\n\r\nFurther Land Cover CCI products, user tools and a product viewer are available at: http://maps.elie.ucl.ac.be/CCI/viewer/index.php", "keywords": "Land Cover, CCI", "publicationState": "published", "dataPublishedTime": "2016-06-15T11:00:45", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14428/?format=api", "dataPath": "/neodc/esacci/land_cover/data/land_cover_maps/v1.6.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15869436328, "numberOfFiles": 22, "fileFormat": "Data are available in NetCDF and GeoTiff format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3809/?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/12066/?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/55846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88541/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Land Cover project and supplied to CEDA in the context 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/14431/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14430/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55990/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2601/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_landcover_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 14432, "uuid": "bfed8e67ce854d6297b579a213f8588f", "title": "Armagh Observatory: Monthly Automatic Weather Station measurements 2004 to present", "abstract": "Atmospheric temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website.\r\n\r\nThis dataset contains monthly measurements and summaries of air temperature, air pressure, rainfall, wind speed, wind direction, total cloud and hours of sunshine from an automatic weather station.", "keywords": "Armagh, Air temperature, rainfall, pressure, cloud, sunshine, wind", "publicationState": "published", "dataPublishedTime": "2016-03-15T10:31:56", "doiPublishedTime": null, "updateFrequency": "monthly", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14433/?format=api", "dataPath": "/badc/armagh/data/armagh-met-sensors", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3294069, "numberOfFiles": 971, "fileFormat": "Data are ASCII formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3810/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/36/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected at the Armagh Observatory and obtained by the Centre of Environmental Data Analysis (CEDA) for use by the research community.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/2318/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2315/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56006/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/2321/?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": 14437, "uuid": "d85e72bd76c4423b82b2b785d47828ea", "title": "UTLS-Ozone ERA40 Validation: Comparisons of Water Vapour values from satellites, aircraft and the ERA-40 model output", "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading. \r\n\r\nThis dataset contains comparisons between the ERA40 water vapour field output and measurements from the MOZAIC research aircraft instrumentation and the Halogen Occultation Experiment (HALOE) and Microwave Limb Sounder (MLS) instruments on board the Upper Air Research Satellite (UARS).", "keywords": "UTLS, ERA40, chemistry, ECMWF", "publicationState": "published", "dataPublishedTime": "2016-04-14T14:40:23", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14438/?format=api", "dataPath": "/badc/utls/data/era-40_validation/water_vapour", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1887223873, "numberOfFiles": 15178, "fileFormat": "Data are ASCII formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1953/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25394/?format=api" ], "dataLineage": "Data were collected mainly by independent satellites from the Upper Atmosphere Research Satellite (UARS), and aircraft data from the Measurements of Ozone by Airbus In Service Aircraft (MOZAIC) programme, and measurements from fields campaigns (e.g. the European Arctic Stratospheric Experiment (EASOE), and the Second European Stratospheric Arctic and Mid-latitude Experiment (SESAME). Data were supplied to the BADC as is in 2005.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14439/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6648/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56023/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/14436/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 14442, "uuid": "246cb3626e9f4ce1b554aa4b865f3b1c", "title": "UTLS-Ozone ITOP: UTRAJ forward and backward flight track trajectories calculated by John Methven at the University of Reading", "abstract": "Study of intercontinental transport of air pollutants by means of coordinated flights over the East coast of North America, the Azores and the West coast of Europe. ITOP was a component of the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT), an international initiative which coordinated the efforts of various American and European groups who developed plans for field campaigns in the summer of 2004, with the aim of improving our understanding of the factors determining air quality over the two continents and over remote regions of the North Atlantic. \r\n\r\nThis dataset includes trajectories and other forecast products calculated by John Methven (University of Reading), based on European Centre for Medium-Range Weather Forecasts (ECMWF) forecast wind fields, to support ICARTT flight planning, near-real-time chemical analyses produced by the University of Cambridge, and data collected aboard the FAAM Bae-146 aircraft in July and August 2004.", "keywords": "UTLS, ITOP, Model, Chemistry", "publicationState": "published", "dataPublishedTime": "2016-04-25T15:55:36", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14443/?format=api", "dataPath": "/badc/itop/data/forecasts_and_analyses/utraj", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33468779907, "numberOfFiles": 9482, "fileFormat": "Data are ASCII formatted. Images are PNG formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1723/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/129/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Trajectories and other forecast products calculated by John Methven (University of Reading), based on European Centre for Medium-Range Weather Forecasts (ECMWF forecast wind fields. Data provided to the BADC as is in 2004.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12053/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5813/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56031/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/13709/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2578/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ecmwftrj", "label": "restricted: ecmwftrj group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 14445, "uuid": "412a8761b0a14855aba0e1aac3e980fb", "title": "UTLS-Ozone: Vertical profiles from the NERC MST Radar at Aberystwyth, Mid-Wales", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nThis dataset contains NERC MST Radar Facility at Aberystwyth, Mid-Wales.", "keywords": "UTLS, ozone, radar", "publicationState": "published", "dataPublishedTime": "2007-03-13T12:38:30", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14447/?format=api", "dataPath": "/badc/utls/data/mst/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 418136684, "numberOfFiles": 100, "fileFormat": "Data are NASA Ames formatted. Images are PNG formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1942/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/515/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11549/?format=api" ], "dataLineage": "Data files were then provided as is in 2002 to the BADC, where they are stored.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14426/?format=api" ], "observationcollection_set": [ 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"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": 14451, "uuid": "c4e198e4e85a4a3985abea6d8f4785d9", "title": "UTLS Night-Time Chemistry of the Upper Troposphere and Lower Stratosphere NO3 measurements", "abstract": "NERC-UTLS Ozone Thematic Program, 'Night-Time Chemistry of the Upper Troposphere and Lower Stratosphere' project measuring sunrise NO3 and sunset NO2 column densities above Aberystwyth.\r\n\r\nThis dataset contains column density and profiles of NO3.", "keywords": "UTLS, Night time, Chemistry", "publicationState": "published", "dataPublishedTime": "2000-12-10T13:44:17", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14454/?format=api", "dataPath": "/badc/utls/data/night-time_chemistry/NO3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 717286, "numberOfFiles": 202, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3811/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/903/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83694/?format=api" ], "dataLineage": "Data files were provided as is to the BADC for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14448/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14450/?format=api" ], "responsiblepartyinfo_set": [ 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These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. \r\n\r\nModel id is IFS4 (atmosphere:IFS4(20150701,CY42R1,N128TL255L91); ocean:NEMO3.4.1(L34E5,ORCA1_Z42,1°L42); seaice:N/A; MACC:N/A; land:CHTESSEL,ERA-Interim forcing, no lakes, no wave tiling (CY40R3, internal exp.id g3db, climate.v009); wave:WAM(CY42R1,1°); ozone:Cariolle(v2.9); climversion:climate.v012;\r\n\r\n\r\nfrequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt pr psl rlut rsds tas tasmax tasmin tdps uas vas\r\n\r\nMonthly atmos variables:\r\nal clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut snld ta tas tasmax tasmin tdps uas vas zg\r\n\r\n\r\n", "keywords": "specs, ifs, ecmwf, climate, model", "publicationState": "published", "dataPublishedTime": "2016-03-16T16:49:05", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3687/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/528/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2016.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6086/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56162/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56166/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 14505, "uuid": "dfb561aba8b944d487096333eae419ed", "title": "UTLS-Ozone SLIMCAT: Leeds University Three dimensional chemistry transport model (CTM) measurements Version 2", "abstract": "The SLIMCAT Reference Atmosphere for UTLS-Ozone was a set of example output from the SLIMCAT three-dimensional chemical transport model (CTM). It includes three-dimensional global fields of chemical (and sometimes meteorological) variables as computed for twelve dates in 1997, near the middle of each month.\r\n\r\nThis data set includes 12 files, each of them corresponding to one output time near the middle of each month of Year 1997 (12 Jan, 11 Feb, 13 Mar, 12 Apr, 12 May, 11 Jun, 11 Jul, 10 Aug, 19 Sept, 19 Oct, 18 Nov, 18 Dec). Each file contains the calculated 3-D distribution of 37 chemical species or families and 6 meteorological variables. The model used is the SLIMCAT chemistry transport model (CTM). The model was run from October 1991 and forced by the UK Met Office analyses. The model used 18 isentropic levels. The vertical coordinate in the data files is the globally averaged altitude. The real lat/lon-dependent altitude is given in the ALT field recorded in the files. 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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). The University of Leicester Full-Physics Retrieval Algorithm has been applied to the TANSO-FTS data, 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 SRFP algorithm, is also available.\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) in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. 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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). In this case, the RemoTeC Full Physics (SRFP) algorithm, jointly developed at SRON and KIT, has been applied to the TANSO-FTS data. A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available.\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. The product file contains the key standard products, i.e. the retrieved column averaged dry air mixing ratio XCO2 with bias correction, averaging kernels and quality flags, as well as secondary products specific for the RemoTeC algorithm. For further information, including details of the SRFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CO2, SRFP", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:23:51", "doiPublishedTime": null, "updateFrequency": "unknown", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14566/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/GOSAT/CO2_GOS_SRFP/2.3.7/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1004662099, "numberOfFiles": 2024, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3847/?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/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/56475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56477/?format=api" ], "procedureAcquisition": null, "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": 14568, "uuid": "33cd85fdc2454d2796c64c673b9427c9", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): SCIAMACHY CH4 Level 2 Data Product (CH4_SCI_IMAP), version 7.1, generated with the IMAP-DOAS algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the XCH4 SCI product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product 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 environmental research satellite ENVISAT. \r\n\r\nThis product has been derived by applying the IMAP-DOAS algorithm developed at the University of Heidelberg and SRON 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 in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CH4, IMAP, Greenhouse Gas", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:23:02", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14569/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/SCIAMACHY/IMAP_CH4/v71_cci/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2311271023, "numberOfFiles": 3256, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3848/?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/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91934/?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/56490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56493/?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": 14572, "uuid": "89a49c8e8dbb4a1bb8799589ffd39dc7", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): SCIAMACHY CH4 Level 2 Data Product (CH4_SCI_WFMD), version 3.9, generated with the WFMD algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the XCH4 SCI product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been derived by applying the Weighting Function Modified DOAS (WFMD) algorithm to the SCIAMACHY data, a least-squares method based on scaling pre-selected atmospheric vertical profiles. A second product is also available, which has been generated from the SCIAMACHY data using the IMAP algorithm. \r\n\r\nThe data product is stored per day in separate NetCDF-files (NetCDF-4 classic model). The product files contain the key products and other information relevant for the use of the data e.g. the averaging kernels. 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. Therefore several affected detector pixels had to be excluded for the time period since November 2005. \r\n\r\nFor further information on the product, including details of the WFMD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CH4, WFMD, Greenhouse Gas", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:17:05", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14574/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/SCIAMACHY/WFMD_CH4/v3.9/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3048319258, "numberOfFiles": 3211, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3849/?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/55535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69622/?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/69632/?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/69635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74650/?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/56514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56526/?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": 14573, "uuid": "f47bc62786394626b665e23b658d385f", "title": "NWP-UKV: Met Office UK Atmospheric High Resolution Model data", "abstract": "A global configuration provides the large-scale weather forecast and also supports the nested higher resolution regional models with boundary data. More detailed short-range forecasts are provided by these high-resolution models which are able to represent certain atmospheric processes more accurately, as well as having a more detailed representation of surface features such as coastlines and orography.\r\n\r\nThis dataset contains UK atmospheric high resolution data from the UK Met Office operational NWP (Numerical Weather Prediction) Unified Model (UM). \r\n\r\nA post-processed regional downscaled configuration of the Unified Model, covering the UK and Ireland, is used with hourly forecast data covering the period T+0 to T+120 hours is used. With a resolution of approximately 0.018 degrees are able to produce hourly data at surface level and at standard pressure levels up to eight times a day.\r\n\r\nThe model’s initial state is kept close to the real atmosphere using incremental 3D-Var data assimilation.\r\n\r\nThis archive currently holds data from April 2016 onwards.\r\n\r\nAn issue has been identified with the representation of the Transverse Mercator projection in the GRIB files in which some of the projection metadata values were set incorrectly. This error has been corrected in all data since 15th Jan 2020. The values that were corrected are as follows:\r\n\r\n\r\nUp to 15/01/2020: \r\n\r\nSource of Grid Definition: 12\r\nLatitude of True Origin: 49\r\nLongitude of True Origin: -2\r\n\r\nFrom 15/01/2020:\r\n\r\nSource of Grid Definition: 0\r\nLatitude of True Origin: 49.0e06\r\nLongitude of True Origin: -2.0e06", "keywords": "NWP, Met Office, UM, unified model, UK, atmospheric, model, UKV", "publicationState": "published", "dataPublishedTime": "2016-05-24T10:45:57", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/19204/?format=api", "dataPath": "/badc/ukmo-nwp/data/ukv-grib", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 71041484272966, "numberOfFiles": 257586, "fileFormat": "Data are GRIB formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/5029/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/920/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80415/?format=api" ], "dataLineage": "New data repository of the UK Met Office wholesale NWP data at CEDA.\r\nFollowing data transfer issues between the Met Office and the BADC, the Met Office NWP data updates were suspended on 18th January 2012. A new data transfer route was established and at the same time, CEDA-BADC decided to revamp the entire NWP archive and created a new NWP archive. This new archive is essentially a mirror of a subset of the NWP archive at the Met Office (as extracted from the Met Office Archive Storage System (MASS)).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8830/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/555/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14571/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168756/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/1045/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2667/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://creativecommons.org/licenses/by-nc-sa/4.0/", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 14575, "uuid": "0ecfa9cc4f81459bba840aead5eda6cd", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): SCIAMACHY CO2 Level 2 Data Product (CO2_SCI_BESD), version 02.01.01, generated with the BESD algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the BESD XCO2 SCIAMACHY product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been produced with the Bremen Optimal Estimation DOAS (BESD) algorithm, a full physics algorithm which uses measurements in the O2-A absorption band to retrieve scattering information of clouds and aerosols. This is the GHG CCI baseline algorithm for deriving SCIAMACHY XCO2 data: A product has also been generated from the SCIAMACHY data using an alternative algorithm: the WFMD algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this 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 in the documentation section. \r\n\r\nFor further information on the product, including details of the BESD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CO2, BESD, Greenhouse Gas", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:21:20", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14576/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/SCIAMACHY/BESD_CO2/v02.01.01/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 801878464, "numberOfFiles": 3113, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3850/?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/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55531/?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/74867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89137/?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/56529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56532/?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": 14577, "uuid": "95b804971495428285e136edaa6ac066", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): SCIAMACHY CO2 Level 2 Data Product (CO2_SCI_WFMD), version 3.9, generated with the WFMD algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the WFMD XCO2 SCIAMACHY product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been derived using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, 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 provided in the documentation section. \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.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CO2, WFMD, Greenhouse Gas", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:20:32", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14578/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/SCIAMACHY/WFMD_CO2/v3.9/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1517068226, "numberOfFiles": 3325, "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/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11900/?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/56533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56537/?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": 14579, "uuid": "3e06538585d04d9e8c848215eedeb5a4", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Merged CO2 Level 2 Data Product (CO2_EMMA), version 2.1, generated with the EMMA algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG), the XCO2 EMMA product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced by applying the ensemble median algorithm EMMA to level 2 data of 7 XCO2 retrievals from the Japanese Greenhouse gases Observing Satellite (GOSAT) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. This is therefore a merged SCIAMACHY and GOSAT XCO2 Level 2 product, primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). This version of the product covers 4 years. \r\n\r\nFor further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR) in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CH4, SCIAMACHY, WFMD, Greenhouse Gas", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:19:42", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14580/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/EMMA/CO2/v2.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 426649547, "numberOfFiles": 3533, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3851/?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/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55531/?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/55536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55538/?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/56541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56542/?format=api" ], "procedureAcquisition": null, "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": 14581, "uuid": "ccd65d303e7241f6b969b19b4be6a925", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Merged CH4 Level 2 Data Product (CH4_EMMA), version 1.0, generated with the EMMA algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG), the XCH4 EMMA product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced by applying the ensemble median algorithm EMMA to level 2 data of several different retrieval products from the Japanese Greenhouse gases Observing Satellite (GOSAT) This is therefore a merged GOSAT XCH4 Level 2 product, primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). \r\n\r\nFor further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR) in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/", "keywords": "ESA, GHG, CCI, CH4, SCIAMACHY, WFMD, Greenhouse Gas", "publicationState": "published", "dataPublishedTime": "2016-04-11T08:18:49", "doiPublishedTime": null, "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14582/?format=api", "dataPath": "/neodc/esacci/ghg/data/crdp_3/EMMA/CH4/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 401402795, "numberOfFiles": 1821, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3852/?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/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55530/?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/55535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69365/?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/56544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56543/?format=api" ], "procedureAcquisition": null, "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": 14583, "uuid": "582054658c2c4f29b436f6e901a60c83", "title": "International Satellite Cloud Climatology Project D2 (ISCCP-D2) Dataset: Radiometer data from the NOAA, GOES, METEOSAT, GMS and INSAT satellites from 1983-2006", "abstract": "Global three-hourly cloud products as produced for the International Satellite Cloud Climatology Project (ISCCP) at the Goddard Institute for Space Studies in New York. The data on are the ISCCP Stage D2 data (ISCCP-D2), at 280 km spatial resolution. There are 202 variables contained within the dataset, which is at three-hourly temporal resolution.\r\n\r\nThe data available at the time of publication of this dataset record in this archive have been obtained from the NASA Atmospheric Data Center (ASDC) and begin in July 1983 and extend to June 2006. A fuller dataset is available directly from ASDC - see link on this record.\r\n\r\nThe data are from a number of radiometers deployed on NOAA, GOES (Geostationary Operational Environmental Satellite), METEOSAT, GMS and INSAT satellites operational during this period. This dataset is public.\r\n\r\nThe data periods for the various satellite instruments used within this generation of this dataset are given below:\r\n\r\nAdvanced Very High Resolution Radiometer (AVHRR) versions 1,2 and 3:\r\n - AVHRR on NOAA-7: 01/07/1983 to 31/01/1985\r\n - AVHRR on NOAA-8: 01/10/1983 to 24/06/1984\r\n - AVHRR on NOAA-9: 01/02/1985 to 08/11/1988\r\n - AVHRR on NOAA-10: 17/11/1986 to 30/08/1991\r\n - AVHRR on NOAA-11: 30/06/1997 to 18/10/1998\r\n - AVHRR/2 on NOAA-12: 01/09/1991 to 31/12/1998\r\n - AVHRR/2 on NOAA-14: 01/02/1995 to 30/09/2001\r\n - AVHRR/3 on NOAA-15: 01/01/1999 to 31/07/2000\r\n - AVHRR/3 on NOAA-16: 01/10/2001 to 30/06/2005\r\n - AVHRR/3 on NOAA-17: 01/07/2002 to 30/06/2005\r\nVery High Resolution Radiometer (VHRR):\r\n - VHRR data on INSAT-1 series (INSAT-1A to 1D): 01/04/1988 to 31/03/1989\r\nGOES-Imager:\r\n - GOES-Imager data on GOES-10: 01/08/1998 to 30/06/2005\r\n - GOES-Imager data on GOES-12: 01/04/2003 to 30/06/2005\r\nMultispectral Imaging Radiometer (MIR):\r\n - MIR data on METEOSAT-2: 01/07/1983 to 11/08/1988\r\n - MIR data on METEOSAT-3: 11/08/1988 to 25/01/1991\r\n - MIR data on METEOSAT-4 : 19/06/1989 to 30/06/1991\r\nMETEOSAT Visible and IR Imager (MVIRI):\r\n - MVIRI data on METEOSAT-5: 01/02/1994 to 30/06/2005\r\n - MVIRI data on METEOSAT-6: 01/03/1997 to 31/05/1998\r\nVisible and Infrared Spin-Scan Radiometer (VISSR) data:\r\n - VISSR data on GMS-1: 21/01/1984 to 30/06/1984\r\n - VISSR data on GMS-2: 01/07/1983 to 27/091984\r\n - VISSR data on GMS-3: 27/09/1984 to 04/12/1989\r\n - VISSR data on GMS-4: 04/12/1989 to 30/06/1991\r\n - VISSR data on GMS-5: 01/06/1995 to 30/04/2003\r\n - VISSR data on GOES-5: 01/07/1983 to 30/07/1984\r\n - VISSR data on GOES-6: 01/07/1983 to 21/01/1989\r\n - VISSR data on GOES-7: 26/04/1987 to 30/06/1991\r\n - VISSR data on GOES-8: 01/05/1995 to 31/03/2003\r\n - VISSR data on GOES-9: 01/01/1996 to 30/06/2005\r\n\r\nFor further information about the satellites and their instruments 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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-FP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. 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These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains volcanic ash product images from MSG satellites over Northern Europe. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains volcanic ash product images from MSG satellites over Iceland. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains volcanic ash product images from MSG satellites over the Mediterranean. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RGB 'False Colour' 321 Product images from MSG satellites over West Africa and the Azores. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nRGB images are composite images generated by combining two or more channels and displaying in colour. The naming convention describes which channel is assigned to the red, green and blue colours. For example RGB 321 means that channel 3 (1.6 micron) is on the red, channel 2 (0.8 micron) is on the green and channel 1 (0.6 micron) is on the blue. This combination can then highlight different physical features through the differing amounts of red, green and blue and hence give a unique colour to that feature. In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise.\r\n\r\nNote: a change in product can be seen from a change to software implemented on 25/11/2013 where the scaling and gamma correction of the R, G, and B channels were tuned to give an improved image, in effect lightening the brighter colours in the image image.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n", "keywords": "MSG, Snow, Satellites, Azores", "publicationState": "published", "dataPublishedTime": "2007-02-20T10:35:41", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/14600/?format=api", "dataPath": "/badc/msg/data/hritimages/EEAO11", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 111864359260, "numberOfFiles": 115584, "fileFormat": "Images are GIF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3854/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/927/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25872/?format=api" ], "dataLineage": "Data obtained by satellite from March 2005, prepared by the Met Office and stored in the BADC archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11161/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/2645/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169006/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/14617/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2545/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "msg", "label": "restricted: msg group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 14601, "uuid": "0da0cdbb61234482ab342ff7007e2ba2", "title": "MSG: RGB 'False Colour' 321 product daytime imagery UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RGB 'False Colour' 321 product images from MSG satellites over UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nRGB images are composite images generated by combining two or more channels and displaying in colour. The naming convention describes which channel is assigned to the red, green and blue colours. For example RGB 321 means that channel 3 (1.6 micron) is on the red, channel 2 (0.8 micron) is on the green and channel 1 (0.6 micron) is on the blue. This combination can then highlight different physical features through the differing amounts of red, green and blue and hence give a unique colour to that feature. In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise.\r\n\r\nNote: a change in product can be seen from a change to software implemented on 25/11/2013 where the scaling and gamma correction of the R, G, and B channels were tuned to give an improved image, in effect lightening the brighter colours in the image image.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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This combination can then highlight different physical features through the differing amounts of red, green and blue and hence give a unique colour to that feature. In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise.\r\n\r\nNote: a change in product can be seen from a change to software implemented on 25/11/2013 where the scaling and gamma correction of the R, G, and B channels were tuned to give an improved image, in effect lightening the brighter colours in the image image.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise.\r\n\r\nNote: a change in product can be seen from a change to software implemented on 25/11/2013 where the scaling and gamma correction of the R, G, and B channels were tuned to give an improved image, in effect lightening the brighter colours in the image image.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. 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