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=6500
{ "count": 10400, "next": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=6600", "previous": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=6400", "results": [ { "ob_id": 30211, "uuid": "4ef9ebc392714b7cbc86ce601c6fd956", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.7", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.7 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI, Ancillary", "publicationState": "published", "dataPublishedTime": "2020-04-16T11:23:32", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30212/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v04.7", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1558808, "numberOfFiles": 6, "fileFormat": "Data are netCDF formatted." }, "timePeriod": null, "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54683/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54684/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54685/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54686/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/60753/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/60754/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/63533/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/63534/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/63535/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/63536/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the v04.7 Soil Moisture dataset (doi:10.5285/0683e320d8634a37aa1d9ef62dd41a0d) https://dx.doi.org/10.5285/0683e320d8634a37aa1d9ef62dd41a0d .", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/30210/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130554/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130551/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130557/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130556/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130555/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130550/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130552/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130553/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130558/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130567/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130568/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130570/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130566/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130562/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130561/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130559/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130560/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130563/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130564/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130565/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130569/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30213, "uuid": "0bb41477e0a5416190459433cb5ab907", "title": "Thermospheric cooling under RCP8.5 due to carbon dioxide increases only, select years from 1975-2095.", "abstract": "This dataset contains WACCM-X model results under RCP8.5 (Representative Concentration Pathway) carbon dioxide increases and low solar activity. These cover ground level to a pressure level of 4e-10 hPa (~300 km altitude) on a global 144x96 longitude-latitude grid .\r\n\r\nData is given in daily instantaneous files in the netCDF format. Default WACCM-X outputs remain, along with the following additional variables:\r\n\r\n'PS' - Surface Pressure\r\n'Z3' - Geopotential Height (above sea level)\r\n'T' - Temperature\r\n'U' - Zonal Wind\r\n'V' - Meridional Wind\r\n'CO2' - Carbon Dioxide Concentration\r\n'CO' - Carbon Monoxide Concentration\r\n'NO' - Nitric Oxide Concentration\r\n'H2O' - Water Vapour Concentration\r\n'O' - Atomic Oxygen Concentration\r\n\r\nMore detail on each variable is given within the netCDF files and the readme file.\r\n\r\n16 month runs from edited initial files at 10 year intervals from 2005 to 2095 under RCP8.5. There is also a 16 month 1975 run and 64 month 2000 run. All of these cyclically repeat the initial year. These are separated into individual folders with the RCP8.5 CO2 concentration listed. The first 4 months of each of these datasets have been ignored in processing as the model spins up, but are included here for completeness.\r\n\r\nThis data was collected to understand the density drop at low earth orbit altitudes as carbon dioxide concentrations increase.", "keywords": "thermospheric, cooling, model", "publicationState": "citable", "dataPublishedTime": "2020-04-01T08:20:21", "doiPublishedTime": "2020-04-03T11:13:47", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30214/?format=api", "dataPath": "/badc/deposited2020/ThermosphericCoolingWACCM-X/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 294087795382, "numberOfFiles": 7282, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8218/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/28669/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28670/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/51981/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54920/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54921/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54922/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54923/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54924/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54925/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54926/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54927/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54928/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54929/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54930/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54931/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54932/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54933/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54934/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54935/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54936/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54937/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54938/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54939/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54940/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54941/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54942/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54943/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54944/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54945/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54946/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54947/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54948/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54949/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54950/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54951/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54952/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54953/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54954/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54955/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54956/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54957/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54958/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54959/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54960/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54961/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54962/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54963/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54964/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54965/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/54966/?format=api" ], "dataLineage": "Input data other than default is obtained from the subversion input data repository at https://svn-ccsm-inputdata.cgd.ucar.edu/trunk/\r\n\r\nThese files changed in user_nl_cam include\r\nsolar_parms_file = '/.../inputdata/atm/waccm/phot/wa_smin_quiet_c071210.nc'\r\n\r\nsrf_emis_specifier = 'CH2O -> /.../inputdata/atm/cam/chem/2000-2100_RCP45/IPCC_emissions_houw_CH2O_2000-2100_1.9x2.5.nc',\r\n 'CO -> /.../inputdata/atm/cam/chem/2000-2100_RCP45/IPCC_emissions_houw_CO_2000-2100_1.9x2.5.nc',\r\n 'NO -> /.../inputdata/atm/cam/chem/2000-2100_RCP45/IPCC_emissions_houw_NOx_2000-2100_1.9x2.5.nc'\r\n\r\naero_file = 'aero_rcp45_v1_1.9x2.5_L26_1995-2105_c100316.nc'\r\n\r\nsolar_data_file = '/.../inputdata/atm/cam/solar/spectral_irradiance_Lean_1950-2100_daily_CCMI_Leap_c150727.nc'\r\n\r\n1975 run used all default input files. \r\n\r\nInitial conditions are those of the default year 2000 run, with CO2 and CO concentrations in the initial files edited as described within the paper (Brown et al, 2020).\r\n\r\nThe files uploaded here at CEDA are the raw files output by WACCM-X with no editing.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://catalogue.ceda.ac.uk/api/v2/identifiers/10707/?format=api" ], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/33359/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130574/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130575/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130576/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130577/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130578/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130579/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130581/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130580/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168908/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/33360/?format=api", "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30223, "uuid": "ede22b4d8b1649999965301cc5f733f0", "title": "APHH: Volatile organic compound (VOC) measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) field site during the DelhiFlux field campaigns", "abstract": "This dataset contains volatile organic compound concentration measurements made by the University of Lancaster using the UK CEH proton transfer reaction-quadrupole ion guide time of flight-mass spectrometer (PTR-QiTOF-MS). Measurements were made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) field site, Dehli, India during the DelhiFlux campaigns. Measurements from 04/10/2018 to 04/11/2018 were made at ground level (~4 m). Measurements from 05/11/2018 to 23/11/2018 were made at 30 m above ground level. All values are reported in ppbV (parts per billion by volume).\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.", "keywords": "APHH, Delhi, VOC", "publicationState": "published", "dataPublishedTime": "2020-05-11T14:37:58", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30217/?format=api", "dataPath": "/badc/aphh/data/delhi/delhiflux/ceh-ptr-qitof-ms/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13413310, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8221/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2310/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/52526/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api", "https://catalogue.ceda.ac.uk/api/v2/projects/30221/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/30224/?format=api", "https://catalogue.ceda.ac.uk/api/v2/observationcollections/32625/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130600/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130601/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130602/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130603/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130605/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130607/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130608/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130604/?format=api" ], "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/30222/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30225, "uuid": "fae65a63910a44b28a3d91268417b7c3", "title": "APHH: Online measurements of VOC mixing ratios using Gas Chromatography with Flame Ionisation Detector (GC-FID) at Indira Gandhi Delhi Technical University for Women (IGDTUW) field site during the DelhiFlux field campaign", "abstract": "This dataset contains hourly online measurements of VOC mixing ratios using Gas Chromatography with Flame Ionisation Detector (GC-FID) at Indira Gandhi Delhi Technical University for Women (IGDTUW), Dehli, India. Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. This data was collected\r\nover two measurements periods (28/05/2018 - 05/06/2018 and 05/10/2018 - 27/10/2018), for the APHH-India DelhiFlux project, by the University of\r\nYork. Data analysis was completed by Beth Nelson and Jim Hopkins at the University of York.\r\n\r\nMixing ratios for the following species are included: ethane, ethene, propane, propane, iso-butane, n-butane, acetylene, trans-2-butene, 1-butene, iso-butene*, cis-2-butene, cyclopentane*, iso-pentane, n-pentane, 1,3-butadiene, trans-2-pentene, 1-pentene, n-octane, n-hexane, isoprene, n-heptane, benzene, toluene, ethylbenzene, combined m,p-xylene, o-xylene,\r\nmethanol, acetone, ethanol, 1,2-butadiene*, propyne*.\r\n\r\nDate and time given in Local time as Julian day where 2018 01 01 = 0\r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture, and certified NPL 6 component mixture for o-VOC calibration. NOTE: any compound not contained therein has been assumed to have the same response factor as its closest isomer*.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.", "keywords": "APHH, Delhiflux, VOC", "publicationState": "published", "dataPublishedTime": "2020-05-11T14:41:55", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30226/?format=api", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-gc-fid-field1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 939787, "numberOfFiles": 5, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8222/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2612/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/41999/?format=api" ], "dataLineage": "Data collected at IGDTUW by Beth Nelson, Gareth Stewart and Jim Hopkins from the University of York. Analysis of data completed by Beth Nelson and Jim Hopkins. 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The data provide independently quantified sea surface temperatures (SSTs) to a quality suitable for climate research. This GHRSST (Group for High Resolution Sea Surface Temperature) Multi-Product Ensemble (GMPE) dataset was produced by the ESA SST_cci project to facilitate comparison of its own spatially complete analyses with other level 4 SST analysis products. It provides the median and standard deviation of the ensemble of input analyses, differences between the individual analyses and the median, and gradients in the input data and the median. The outputs are provided on a 0.25˚ regular latitude-longitude grid. The product extends from 1 September 1981 to 31 December 2016.\r\n\r\nThe product was generated using the following inputs: ESA SST_cci Analysis version 2.0; ESA SST_cci Analysis version 1.1; E.U. Copernicus Marine Environment Monitoring Service (CMEMS) SST information (the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Reprocessing); National Centers for Environmental Information (NCEI) Advanced Very High Resolution Radiometer (AVHRR) Optimal Interpolation (OI) Global Blended SST Analysis; Canada Meteorological Center (CMC) 0.2-degree Global Foundation SST Analysis; Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) Analysis version 2.2.0.0 (10 realisations); Japan Meteorological Agency (JMA) Merged satellite and in-situ Data Global Daily SST (MGDSST) Analysis. 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ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel and surface level analysis data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details.", "keywords": "ECMWF, ERA, ERA5, reanalysis, analysis, surface level", "publicationState": "published", "dataPublishedTime": "2021-03-10T09:52:21", "doiPublishedTime": null, "updateFrequency": "monthly", "status": "ongoing", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/27568/?format=api", "dataPath": "/badc/ecmwf-era5/data/oper/fc_sfc/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5017803599949, "numberOfFiles": 3325055, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8225/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/59154/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/69038/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70678/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70679/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70680/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70681/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70682/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70683/?format=api" ], "dataLineage": "Data are generated by the ERA5 project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by CEDA staff using the ECMWF system and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. 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The model explicitly specify the emissions of five very short-lived bromocarbon species (CH3Br, CH2BrCl, CH2Br2, CHBr2Cl, CHBrCl2) and are provided as model input files. These changes are described in more detail in a companion paper (Ming et al., 2020, JGR Atmospheres). The model runs were used to investigate tropical volcanic eruptions in a pre-industrial climate and their effect on stratospheric ozone. The dataset covers the whole globe at a resolution of N96. The output files include a 60 year control run and the model experiments that support the publication. Each model experiment is made up of 4 ensemble members. The contents of the individual data files are further described in the document README.md. The parameters included in the model output files are total column ozone, HCl mixing ratio and mean residual vertical velocity.\r\n\r\nIsotopic constraints on past ozone layer in polar ice (ISOL-ICE) was a NERC funded project to use ice-core data and numerical models to investigate the past variability in the ozone layer.", "keywords": "ISOL-ICE, volcanic eruptions, UKCA, Cl2, Br2, ClNO2, BrNO2", "publicationState": "published", "dataPublishedTime": "2020-05-05T07:45:44", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30241/?format=api", "dataPath": "/badc/deposited2020/icol-ice/data/v1/isol_ice_ukca_output/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 63429818, "numberOfFiles": 9, "fileFormat": "Data are netCDF Ames formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8227/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2616/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/28695/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28696/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28698/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28704/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28705/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28706/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70684/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70685/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70687/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70688/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/102410/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/102411/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/102412/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/102413/?format=api" ], "dataLineage": "Data were generated using the Met Office Unified Model (UM) with the United Kingdom Chemistry and Aerosol (UKCA) module at 1.875 by 1.25 degree horizontal resolution. 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ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.", "keywords": "ECMWF, ERA, ERA5, reanalysis, analysis, surface level", "publicationState": "published", "dataPublishedTime": "2022-03-22T15:53:03", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30246/?format=api", "dataPath": "/badc/ecmwf-era5t/data/oper/an_sfc/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 84723179863, "numberOfFiles": 65522, "fileFormat": "Data are netCDF formatted with internal compression." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8229/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/59154/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68851/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68852/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68853/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68854/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68855/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68856/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68857/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68858/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68859/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68860/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68861/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/69038/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/69039/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/80065/?format=api" ], "dataLineage": "Data are generated by the ERA5 project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by CEDA staff using the ECMWF system and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. Data are translated over to a regular latitude-longitude grid and converted to netCDF format ahead of transfer to the CEDA system.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/30234/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/30248/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130703/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130707/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130706/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130700/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130701/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130702/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130704/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130705/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130708/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/30236/?format=api", "permissions": [ { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30250, "uuid": "9e11d5cb819a45068921db5ae296fb57", "title": "APHH: Volatile organic compound (VOC) flux measurements made during the APHH-Beijing field campaigns 11-12/2016 and 05-06/2017", "abstract": "This dataset contains volatile organic compound (VOC) fluxes 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\nVOC concentrations were recorded using the GIG: Proton Transfer Reaction-Time of Flight- Mass Spectrometer (PTR-ToF-MS). Measurements were made at 102 m on the Institute of Atmospheric Physics (IAP) meteorological mast. Fluxes were processed by Lancaster University.", "keywords": "APHH, VOC, pollution", "publicationState": "published", "dataPublishedTime": "2020-05-11T14:32:08", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30251/?format=api", "dataPath": "/badc/aphh/data/beijing/lanc-ptr-tof-ms/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 148897, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8232/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1856/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/70690/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130725/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130727/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130728/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130718/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130722/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130723/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130724/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130726/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130719/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130720/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130721/?format=api" ], "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/30252/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30253, "uuid": "3c324bb4ee394d0d876fe2e1db217378", "title": "ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.0", "abstract": "This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project.\r\n\r\nLakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. \r\n\r\nThe five thematic climate variables included in this dataset are:\r\n•\tLake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.\r\n•\tLake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.\r\n•\tLake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. \r\n•\tLake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. \r\n•\tLake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).\r\n\r\nData generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.", "keywords": "ESA, CCI, Lakes, ECV", "publicationState": "citable", "dataPublishedTime": "2020-06-08T14:06:01", "doiPublishedTime": "2020-06-08T14:06:25", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30530/?format=api", "dataPath": "/neodc/esacci/lakes/data/lake_products/L3S/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2307634464429, "numberOfFiles": 19918, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8247/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2623/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/8143/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/8144/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68335/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68336/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68337/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68338/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68339/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68340/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68341/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68342/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68343/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68344/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68345/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68346/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68347/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68348/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68349/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68350/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68351/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68352/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68353/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68354/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68355/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68356/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68357/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68358/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68359/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68360/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68361/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68362/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68363/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68364/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68365/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68367/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68368/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68369/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68370/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68371/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84540/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84544/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84546/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84547/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84548/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84550/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84551/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84552/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84553/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84554/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84555/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84556/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84557/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/84558/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/94455/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/94456/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/94457/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/94458/?format=api" ], "dataLineage": "The first version of this dataset was generate in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://catalogue.ceda.ac.uk/api/v2/identifiers/10719/?format=api" ], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/30309/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130729/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131003/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131008/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131009/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131011/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131012/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131013/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131010/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131005/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131006/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131007/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132233/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132796/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132797/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132798/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132799/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132800/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132801/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/132802/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2551/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lakes_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 30257, "uuid": "b4662472624a4e7aaeabf55122998721", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"histSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. 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It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.04 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.", "keywords": "CRU, CRU CY, CY, climate", "publicationState": "published", "dataPublishedTime": "2020-10-20T14:12:15", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/31961/?format=api", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.04/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 50577692, "numberOfFiles": 2924, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8236/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The Climatic Research Unit (CRU) CY data are derived directly from the CRU TS data, and version numbering is matched between the two datasets. The CRU CY data are produced by the CRU unit at the University of East Anglia and passed to the Centre for Environmental Data Analysis (CEDA) for long term archival and distribution. Previous releases of CRU CY include:\r\n\r\nCRU CY 4.04 data were passed to CEDA for archival and distribution by CRU in October 2020.\r\n\r\nCRU CY 4.03 data were passed to CEDA for archival and distribution by CRU in May 2019.\r\n\r\nCRU CY 4.02 data were passed to CEDA for archival and distribution by CRU in November 2018.\r\n\r\nCRU CY 4.01 data were passed to CEDA for archival and distribution by CRU in September 2017.\r\n\r\nCRU CY 4.00 data were passed to CEDA for archival and distribution by CRU in March 2017.\r\n\r\nCRU CY 3.24.01 data files supplied to CEDA for long term archival by CRU in January 2017.\r\n\r\nThe CRU CY 3.24 data were withdrawn by CRU and CEDA in January 2017 due to known issues with the data.\r\n\r\nCRU CY 3.24 data files supplied to CEDA for long term archival by CRU in October 2016.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/27835/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130783/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130787/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130784/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130785/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130786/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130788/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130782/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130789/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130791/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130790/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/148573/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130792/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168468/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130858/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30263, "uuid": "89e1e34ec3554dc98594a5732622bce9", "title": "CRU TS4.04: Climatic Research Unit (CRU) Time-Series (TS) version 4.04 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2019)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.04 data are month-by-month variations in climate over the period 1901-2019, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.04 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2019.\r\n\r\nThe CRU TS4.04 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.04 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.", "keywords": "CRU, CRU TS, 4.04, CRU TS4.04, CRU TS 4, CRU TS 4.04,atmosphere, earth science, climate,", "publicationState": "published", "dataPublishedTime": "2020-06-15T15:44:25", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30305/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.04", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35134467733, "numberOfFiles": 404, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8235/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/19309/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/51981/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56250/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56251/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56252/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56253/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56254/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56255/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56256/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56257/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56258/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/61269/?format=api" ], "dataLineage": "The CRU TS data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of the CRU TS data include:\r\n\r\nCRU TS 4.04 was provided to CEDA for archival in April 2020.\r\n\r\nCRU TS 4.03 was provided to CEDA for archival in May 2019. \r\n\r\nCRU TS 4.02 was provided to CEDA for archival in December 2018. \r\n\r\nCRU TS 4.01 was provided to CEDA for archival in September 2017. \r\n\r\nCRU TS 4.00 was provided to CEDA for archival in March 2017. \r\n\r\nCRU TS 3.24.01 was provided to CEDA for archival in January 2017. This is the latest version available and is a replacement of the withdrawn dataset 3.24, it supersedes all previous data versions (which are available to allow user comparisons)\r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons), v3.24 has been withdrawn.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.10.01 In July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/27513/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130799/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130800/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130794/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130793/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130796/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130797/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130798/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130795/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/148574/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130803/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130802/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168462/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130804/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130859/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30266, "uuid": "4c5a7badd17a4b10a00ce0327aa073d6", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Jersey Radar Station, UK 2013 to 2015", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Jersey Radar Station, UK. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "published", "dataPublishedTime": "2020-05-04T09:12:29", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30267/?format=api", "dataPath": "/badc/moya/data/stations/jersey", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3984, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8237/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2617/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/65453/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65458/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65468/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65471/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65472/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/67427/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/67428/?format=api" ], "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130819/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130820/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130821/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130822/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130823/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130824/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130826/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130825/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168385/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130827/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130828/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130829/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130830/?format=api" ], "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/30268/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30269, "uuid": "7438d170fda7451285742e76900ca0f0", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from at Akrotiri, Cyprus since 2018", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Akrotiri, Cyprus. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "published", "dataPublishedTime": "2020-05-04T09:13:34", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30270/?format=api", "dataPath": "/badc/moya/data/stations/cyprus-akrotiri", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3868, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8238/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2618/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/65453/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65458/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65468/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65471/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/65472/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/67427/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/67428/?format=api" ], "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130832/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130833/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130834/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130835/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130836/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130837/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130839/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130838/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168386/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130840/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130841/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130842/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130843/?format=api" ], "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/30271/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30275, "uuid": "6e1c3df49f644a0f812818080bed5e45", "title": "Initialised seasonal forecast of the 20th Century", "abstract": "This dataset contains initialised seasonal hindcast experiments for the 20th century, produced using a version of the ECMWF's Intergrated Forecasting System (IFS), and initialised from ECMWF reanalysis (ERA-20C/CERA-20C). Two types of hindcast experiment are included in this dataset:\r\n\r\nCSF-20C (Coupled Seasonal Forecasts): This is a hindcast performed with the model fully coupled to the Nucleus for European Modelling of the Ocean (NEMO) ocean model, initialised from CERA-20C reanalysis data.\r\n\r\nASF-20C (Atmospheric Seasonal Forecasts): This is a hindcast performed with prescribed Sea Surface Temperature (SST) and sea-ice boundary conditions at the surface, initialised form ERA-20C reanalysis data.\r\n\r\nHindcasts were started every year between 1901-2009 (inclusive) on the 1st February, 1st May, 1st August and 1st November and are run out for four months from the start date. For each start date, there are either 51 or 25 ensemble members (depending on the season/hindcast). \r\n\r\nMonthly mean values for the following variables have been archived here on CEDA (in alphabetical order):\r\n\r\nLHF (latent heat-flux)\r\nOLR (outgoing long-wave radiation)\r\nPREC (precipitation)\r\nSHF (sensible heat-flux)\r\nSIC (sea-ice concentration)\r\nSLP (sea-level pressure)\r\nSST (sea surface temperature)\r\nT2 (2m temperature)\r\nU250 (zonal wind at 250 hPa level)\r\nU850 (zonal wind at 850 hPa level)\r\nUs (10m zonal wind speed)\r\nV250 (meridional wind at 250 hPa level)\r\nV850 (meridional wind at 850 hPa level)\r\nVs (10m meridional wind speed)\r\nZ500 (geopotential at 500 hPa level)\r\n\r\nFiles for each ensemble member are archived separately and the filetree is in the following format:\r\n\r\n[EXPname]/[VARname]monthly_[EXPname]_[INITmonth]START_ENSmems/[VARname]monthly_[YEAR]_M[ENSnum].nc\r\n\r\nWhere:\r\n\r\n[EXPname] =CSF-20C or ASF-20C\r\n[VARname] = Z500, Vs, V850, ... etc.\r\n[INITmonth] = Feb, May, Aug or Nov\r\n[YEAR] =1901, 1902, 1903, ... etc.\r\n[ENSnum] =0, 1, 2, 3, ... etc.\r\n\r\nMore details of these hindcasts and some previous analysis of these datasets have appeared in the following papers:\r\n\r\nWeisheimer, A., Schaller, N., O'Reilly, C., MacLeod, D. A., & Palmer, T. (2017). Atmospheric seasonal forecasts of the twentieth century: multi‐decadal variability in predictive skill of the winter North Atlantic Oscillation (NAO) and their potential value for extreme event attribution. Quarterly Journal of the Royal Meteorological Society, 143(703), 917-926.\r\n\r\nO'Reilly, C. H., Heatley, J., MacLeod, D., Weisheimer, A., Palmer, T. N., Schaller, N., & Woollings, T. (2017). Variability in seasonal forecast skill of Northern Hemisphere winters over the twentieth century. Geophysical Research Letters, 44(11), 5729-5738.\r\n\r\nMacLeod, D., O'Reilly, C., Palmer, T., & Weisheimer, A. (2018). Flow dependent ensemble spread in seasonal forecasts of the boreal winter extratropics. Atmospheric Science Letters, 19(5), e815.\r\n\r\nParker, T., Woollings, T., Weisheimer, A., O'Reilly, C., Baker, L., & Shaffrey, L. (2019). Seasonal predictability of the winter North Atlantic Oscillation from a jet stream perspective. Geophysical Research Letters, 46(16), 10159-10167.\r\n\r\nWeisheimer, A., Decremer, D., MacLeod, D., O'Reilly, C., Stockdale, T. N., Johnson, S., & Palmer, T. N. (2019). How confident are predictability estimates of the winter North Atlantic Oscillation?. Quarterly Journal of the Royal Meteorological Society, 145, 140-159.\r\n\r\nWeisheimer, A., Befort, D. J., MacLeod, D., Palmer, T., O’Reilly, C., & Strømmen, K. (2020). Seasonal forecasts of the 20th Century. Bulletin of the American Meteorological Society, (2020).", "keywords": "Seasonal, Forecast, model, atmospheric", "publicationState": "published", "dataPublishedTime": "2020-05-04T13:13:11", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30276/?format=api", "dataPath": "/badc/deposited2020/seasonal-forecasts-20thc/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 203561527769, "numberOfFiles": 591542, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8239/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2619/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/68762/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68763/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68764/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68765/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68766/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68767/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68768/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68769/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68770/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68771/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68772/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68773/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68774/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68775/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68776/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/68777/?format=api" ], "dataLineage": "Data downloaded from the ECMWF MARS archive at the resolution provided here and converted to netcdf (from grin). The data were then delivered to the Centre for Environmental Data Analysis for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/30277/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130854/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130856/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130848/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130849/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130850/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130851/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130852/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130853/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168916/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130855/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/30278/?format=api", "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30285, "uuid": "f742c505c935467ebb4cf89a611a4436", "title": "GOCCP, DARDAR and PM-L2 cloud-top-phase product ensemble (GDP): Combination of instant cloud phase retrievals of A-Train lidar, radar, radiometer and polarimeter.", "abstract": "This dataset contains a collocation of three different A-Train cloud phase products on a 2x30 grid (latxlon): The GCM-Oriented Cloud Calipso Product (GOCCP v3.0), the liDAR-raDAR (DARDAR-MASK v2.0) product, and the Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL) + Aqua/MODIS combination (PM-L2) product.\r\n\r\nTo better understand the differences in cloud glaciation around the globe, liquid and ice cloud tops around the globe were counted, as observed from four different space-borne instruments (lidar, radar, radiometer and polarimeter) during four years. The top pixels of each product were selected and binned into 3 K temperature intervals. With this data, an algorithm was applied to determine the most probable thermodynamic phase at cloud top based on the different cloud-phase products on a 2x30 grid (latxlon). The \"GDP2\" ensemble was produced using the mode between the three different binary classifications (ice/liquid), provided that all three products are available at each timestep. The \"GDP3\" ensemble is a subselection of the GDP2 ensemble, containing only timesteps where all three products agree. The \"GP\"(GOCCP and PM-L2), \"DP\"(DARDAR and PM-L2) and \"GD\"(GOCCP and DARDAR) ensembles contain only timesteps where two products agree.", "keywords": "cloud, phase, top, GOCCP, DARDAR, PM-L2", "publicationState": "published", "dataPublishedTime": "2020-05-19T08:32:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30286/?format=api", "dataPath": "/badc/deposited2020/cloud-top-phase/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1255751945, "numberOfFiles": 1245, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8243/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2622/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/70689/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83080/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83081/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83082/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83083/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83084/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83085/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83086/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/83087/?format=api" ], "dataLineage": "Data were gathered, quality controlled, and processed for archiving by the scientist before uploading to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/30304/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/130878/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130879/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130880/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130881/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130882/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130883/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130885/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/130884/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/168912/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/30288/?format=api", "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30290, "uuid": "3e9f387293294f3b8a850524fcfc0c9c", "title": "HadISDH land: gridded global monthly land surface humidity data version 4.2.0.2019f", "abstract": "This is the 4.2.0.2019f version of the HadISDH (Integrated Surface Database Humidity) land data. These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2019. \r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format.\r\n\r\nThis version extends the 4.1.0.2018f version to the end of 2019 and constitutes a minor update to HadISDH due to changing some of the code base from IDL to Python 3 and detecting and fixing various bugs in the process. These have led to small changes in regional and global average values and coverage. All other processing steps for HadISDH remain identical. Users are advised to read the update document in the Docs section for full details. \r\n\r\nAs in previous years, the annual scrape of NOAA’s Integrated Surface Dataset for HadISD.3.1.0.2019f, which is the basis of HadISDH.land, has pulled through some historical changes to stations. This, and the additional year of data, results in small changes to station selection. There has been an issue with data for April 2015 whereby it is missing for most of the globe. This will hopefully be resolved by next year’s update. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data.\r\n\r\nTo keep informed about 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 HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\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\nWe strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013.", "keywords": "HadISDH, humidity, surface, land, gridded, station, specific humidity, temperature, dew point temperature, wet bulb temperature, dew point temperature, vapour pressure, in-situ", "publicationState": "citable", "dataPublishedTime": "2020-06-29T11:40:00", "doiPublishedTime": "2020-08-05T10:42:29", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30620/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISDH/mon/HadISDHTable/r1/v4-2-0-2019f/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 359985321, "numberOfFiles": 29, "fileFormat": "These data are provided in NetCDF and ASCII formats, descriptors of the file formats are included in Docs." }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8311/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/56886/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56887/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56888/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56889/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56890/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56891/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56892/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56893/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56894/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56895/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56898/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56899/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/56900/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/66183/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/66184/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/66185/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/66187/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/66189/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/66192/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73574/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73575/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73576/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73577/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73578/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73579/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73580/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73581/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73582/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73583/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73584/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73585/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73586/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73587/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73588/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73589/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73590/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73591/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73592/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73593/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73594/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73595/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73596/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73597/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73598/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/73599/?format=api" ], "dataLineage": "HadISDH-land is a global land surface (~2 m) humidity dataset and is produced by the Met Office Hadley Centre in collaboration with Maynooth University, NOAA NCEI, NPL and CRU. 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This dataset comprises Level 2 aerosol properties from the POLDER instrument on the PARASOL satellite, using the GRASP (Generalised Retrieval of Aerosol and Surface Properties) algorithm. 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"https://catalogue.ceda.ac.uk/api/v2/computations/30490/?format=api", "permissions": [ { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30492, "uuid": "83b0cd7e7cc6495a90b4cb967ead3577", "title": "North Atlantic Climate System Integrated Study (ACSIS) Atlantic Ocean medium resolution SST dataset: Reconstructed 5-day, ½ degree, Atlantic Ocean SST (1950-2014)", "abstract": "The North Atlantic Climate System Integrated Study (ACSIS) Atlantic Ocean medium resolution SST dataset is a 5-day field of Sea Surface Temperature (SST) on a ½ degree by ½ degree grid from 1950 to 2014 and covers the Atlantic Ocean.\r\n\r\nThe dataset is based on in situ ship and buoy SST observations from the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Revision 3. Measurements which fail initial quality control checks are rejected and for each grid box where there is data a trimmed mean and sample standard deviation are calculated to produce super-observations. These are then expressed as anomalies from the 1981-2014 Climatology (mean, annual, semi-annual and tri-annual) from the European Space Agency (ESA) Climate Change Initiative (CCI) SST dataset (version 2.0) derived from satellite observations. The measurements are then interpolated using Kriging to infill gaps and estimate uncertainties. The spatial covariance used in the Kriging was derived from the CCI SST analysis residuals (CCI SST analysis minus the CCI SST climatology). After interpolation, bias corrections derived from the HadSST.4.0.0.0 dataset are applied.\r\n\r\nThe dataset is available as annual CF complaint NetCDF files, with a total of 65 annual files available. Each file contains: the 5 day mean sea surface temperature; the corresponding climatological value, the sea surface temperature anomaly and the uncertainty in the sea surface temperature. \r\n\r\nThe new dataset has been developed as part of the UK North Atlantic Climate System Integrated Study (ACSIS) for use in validation and comparison with regional climate models. Other potential uses include boundary forcing for regional reanalyses, monitoring and assessment of regional climate change and other studies requiring SST at a resolution higher than typical for the in situ products (i.e. < 1 month, < 1°) and spanning the satellite and pre-satellite era.", "keywords": "ACSIS, SST", "publicationState": "citable", "dataPublishedTime": "2020-05-28T15:58:56", "doiPublishedTime": "2020-05-29T15:59:01", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/30491/?format=api", "dataPath": "/badc/acsis/AO_SST/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4590405161, "numberOfFiles": 66, "fileFormat": "CF-NetCDF" }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8306/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/2624/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/28884/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/28885/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/55387/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62183/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62184/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62185/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/97047/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Atlantic Ocean medium resolution SST dataset was created in 2019 at the National Oceanography Centre. It uses in situ ship and buoy measurements from the the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3 and a climatology from the European Space Agency (ESA) Climate Change Initiative (CCI) SST version 2.0 product. Applied bias\r\n corrections were derived from the HadSST.4.0.0.0 dataset.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://catalogue.ceda.ac.uk/api/v2/identifiers/10718/?format=api" ], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/24717/?format=api" ], "observationcollection_set": [ "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24737/?format=api" ], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/131955/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131947/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131950/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131949/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131951/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131952/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131953/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131954/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/131948/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://catalogue.ceda.ac.uk/api/v2/composites/30496/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30497, "uuid": "9002e9bbfef04c8d88ca6c921579f3c9", "title": "Summary for Policymakers of the IPCC Special Report: Global Warming of 1.5°C - data for Figure SPM.1 (v20200602)", "abstract": "Data for Figure SPM.1 from the Summary for Policymakers (SPM) of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Global Warming of 1.5°C.\r\n\r\nFigure SPM.1 relates global mean surface temperature to cumulative emissions of CO2 and visualises the probability of limiting global warming to 1.5°C. \r\n\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nLinks to Figure SPM.1 in the IPCC Special Report on Global Warming of 1.5°C, an interactive version of the figure, and supporting information in the Supplementary Material for Chapter 1 (Section 1.SM.6) can be found in the Related Documents section of this catalogue record. \r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has four panels, with data provided for panels (a), (b) and (d) in subdirectories named panel_a, panel_b and panel_d. Panel (c) data can be computed from panel (b) data so are not provided here.\r\n\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nThe dataset contains global time-series data from 1960-2100 for:\r\n - Observed global temperature change (1960-2017). \r\n - Historical anthropogenic global warming (1960-2017).\r\n - Modelled warming responses to global emission and radiative forcing pathways (2018-2100).\r\n\r\nThe dataset also contains global time-series data for carbon dioxide (CO2) and non-CO2 radiative forcing from 1960-2100 for:\r\n - Historical global net CO2 emissions (1960-2017).\r\n - Stylized global net CO2 emission pathways (2018-2100).\r\n - Historical global cumulative net CO2 emissions (1960-2017).\r\n - Stylized global cumulative net CO2 emission pathways (1960-2100).\r\n - Historical global non-CO2 radiative forcing pathways (1960-2017).\r\n - Global non-CO2 radiative forcing pathways (2018-2100).\r\n\r\n---------------------------------------------------\r\nData provided in relation to figure \r\n---------------------------------------------------\r\nPanel a:\r\n - Data file: panel_a/temps_hist.csv (monthly data, 1850-2017); relates to the left part showing observed global mean surface temperature change (grey line) and estimated anthropogenic global warming (orange line with shading the assessed likely range). \r\n - Data files: panel_a/temps_blue.csv, panel_a/temps_grey.csv, panel_a/temps_purple.csv (yearly data, 2018-2100, the lower and upper bound variables are plotted). These relate to the right part showing the likely range of warming responses (grey, blue and purple plumes) for different combinations of global net CO2 emission and net non-CO2 radiative forcing pathways. \r\nPanel b:\r\n - Data file: panel_b/gcp_out.csv (yearly data, 1960-2017); relates to the left part showing historical global net CO2 emissions (grey line). \r\n - Data file: panel_b/CO2_ems.csv (yearly data, 2018-2100, values in GtC rather than GtCO2); relates to the right part showing two stylized future global net CO2 emission pathways (grey land blue lines). \r\nPanel d:\r\n - Data file: panel_d/nonCO2_RF.csv (yearly data, 1960-2017, variable nonCO2RF_grey is plotted); relates to the left part showing historical global net non-CO2 radiative forcing. \r\n - Data file: panel_d/nonCO2_RF.csv (yearly data, 2018-2100, variables nonCO2RF_grey and nonCO2RF_purple are plotted); relates to the right part showing two stylized future global net non-CO2 radiative forcing pathways (grey and purple lines).", "keywords": "IPCC-DDC, IPCC, AR6, SR1.5, Figure SPM.1, Global Warming 1.5 degrees C, Global temperature, Global CO2 emission pathway, Cumulative net CO2 emissions, Radiative forcing, Emission pathways", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/31769/?format=api", "dataPath": "/badc/ar6_sr15/data/spm/spm_1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44873, "numberOfFiles": 9, "fileFormat": "badc_csv" }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/8688/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/61290/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/61291/?format=api", 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These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2019.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format.\r\n\r\nThis version extends the 1.0.0.2018f version to the end of 2019 and constitutes with no changes other than the addition of 2019 data. Users are advised to read the update document in the Docs section for full details. \r\n\r\nTo keep informed about 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 HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I.: Development of the HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data, in review, doi:XX.XXXX/essd-XX-XXXX-2020, 2020.\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N. A., Rosenhagen, G. and Smith, S. 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Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to the historical marine climate record. International Journal of Climatology. doi:10.1002/joc.4775.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. 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