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=9500
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9600", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9400", "results": [ { "ob_id": 43093, "uuid": "43ce517d74624a5ebf6eec5330cd18d5", "title": "CRU JRA v2.5: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2023.", "abstract": "The CRU JRA V2.5 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 degree latitude x 0.5 degree longitude grid, the grid is near global but excludes Antarctica (this is the same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2023.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.08 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\nThis version of CRUJRA, v2.5 (1901-2023) is, where possible, adjusted to align with CRU TS monthly means or totals. A consequence of this is that, if CRU TS changes, then CRUJRA changes.\r\n\r\nFor this version, and version 4.07 of CRU TS, the CLD (cloud cover, %) variable is now actualised (converted from gridded anomalies) using the original CLD climatology and not the revised climatology introduced last year. This change/reversion is summarised here: https://crudata.uea.ac.uk/cru/data/hrg/cru_cl_1.1/Read_Me_CRU_CL_CLD_Reversion.txt\r\n\r\nSince CLD is used to align DSWRF, CRUJRA Downward Short Wave Radiation Flux (DSWRF) will now be 'closer to' version 2.2 and earlier and should be used in preference to v2.3.\r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001", "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate", "publicationState": "published", "dataPublishedTime": "2024-07-26T08:30:49", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43094/?format=api", "dataPath": "/badc/cru/data/cru_jra/cru_jra_2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 416892512154, "numberOfFiles": 1231, "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11820/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The CRU JRA 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.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26851/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204631/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43096/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43099, "uuid": "0211e7f5f6354cfca18fd15b974b2e5f", "title": "FAFMIP_HadCM3_HadGEM2-ES", "abstract": "Data from HadCM3 and HadGEM2 in supporting the Thresholds for the future of the Greenland ice-sheet project (grant NE/P014976/1)", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "underDevelopment", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43098/?format=api", "dataPath": "/badc/deposited2024/FAFMIP_HadCM3_HadGEM2-ES", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 195312084544, "numberOfFiles": 324, "fileFormat": "NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/17816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75115/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Data picked up from JASMIN group workspace. This is an old dataset so the minimum was done to make it publishable.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204661/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43100, "uuid": "715abce1604a42f396f81db83aeb2a4b", "title": "CRU TS4.08: Climatic Research Unit (CRU) Time-Series (TS) version 4.08 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2023)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.08 data are month-by-month variations in climate over the period 1901-2023, 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 TS4.08 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 2023.\r\n\r\nThe CRU TS4.08 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 TS4.08 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, 4.08, CRU TS4.08, CRU TS 4, CRU TS 4.08,atmosphere, earth science, climate,", "publicationState": "published", "dataPublishedTime": "2024-07-30T09:50:21", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43101/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.08", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20900632631, "numberOfFiles": 587, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11825/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75082/?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\nCRU TS 4.08 was provided to CEDA for archival in July 2024.\r\n\r\nCRU TS 4.07 was provided to CEDA for archival in June 2023.\r\n\r\nCRU TS 4.06 was provided to CEDA for archival in May 2022.\r\n\r\nCRU TS 4.05 was provided to CEDA for archival in June 2021.\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 for 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://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27513/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204676/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43114, "uuid": "7a8d0936ba1e4e1a8689c9e9010b43b2", "title": "Ground-based greenhouse gas column concentrations from Jinja, Uganda, January to April 2020", "abstract": "These data comprise remotely sensed column concentrations of greenhouse gases over Jinja, Uganda, covering the period spanning January to April 2020. A Bruker EM27/SUN spectrometer and solar tracker were used to make the measurements, which were then processed into column concentrations of carbon dioxide, methane, and carbon monoxide using the PROFFAST retrieval code developed through the COllaborative Carbon Column Observing Network (COCCON) programme at the Karlsruhe Institute of Technology. The data were collected to provide a source of validation for satellite data products, and for outputs from atmospheric chemistry and transport models. The data were collected and processed by Neil Humpage at the University of Leicester, in collaboration with William Okello at the National Fisheries Resources Research Institute who provided the measurement site.", "keywords": "column concentrations, greenhouse gases, Bruker EM27/SUN, COCCON, Uganda", "publicationState": "citable", "dataPublishedTime": "2024-07-30T09:45:02", "doiPublishedTime": "2024-09-11T16:01:42.381588", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43115/?format=api", "dataPath": "/badc/moya/data/stations/uganda-jinja/MOYA_EM27SUN_Jinja", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2300519, "numberOfFiles": 2, "fileFormat": "netCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11835/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4572/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75080/?format=api" ], "dataLineage": "Individual interferograms measured using the EM27/SUN instrument were processed using the PROFFASTv1.0 retrieval code, then collated into a single netCDF file.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13187/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43166/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204700/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43119/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43120, "uuid": "3b7f475a30a642e9af5323cef748bb00", "title": "CRU CY4.08: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.08 (Jan. 1901 - Dec. 2023)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.08 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2024 by CRU at the University of East Anglia and extends the CRU CY4.07 data to include 2023. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.08 is derived directly from the CRU time series (TS) 4.07 dataset. CRU CY version 4.08 spans the period 1901-2023 for 292 countries.\r\n\r\nTo understand the CRU CY4.08 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.07. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.08 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": "2024-07-30T09:32:27", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43121/?format=api", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.08/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 52236305, "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://api.catalogue.ceda.ac.uk/api/v2/times/11843/?format=api", "geographicExtent": "https://api.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\nCRU CY 4.08 data were passed to CEDA for archival and distribution by CRU in July 2024.\r\n\r\nCRU CY 4.07 data were passed to CEDA for archival and distribution by CRU in May 2023.\r\n\r\nCRU CY 4.06 data were passed to CEDA for archival and distribution by CRU in May 2022.\r\n\r\nCRU CY 4.05 data were passed to CEDA for archival and distribution by CRU in June 2021.\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://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27835/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204722/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43122, "uuid": "494d0131d23f4ca88ef3494582362015", "title": "Total Carbon Column Observing Network (TCCON):TCCON data from Bialystok (PL), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Bialystok, Poland.", "keywords": "TCCON, Greenhouse gases, carbon dioxide, methane, ground-based, carbon monoxide, nitrous oxide, ground-based, atmospheric trace gases, column-averaged dry-air mole fractions, remote sensing, FTIR spectroscopy", "publicationState": "published", "dataPublishedTime": "2024-08-06T12:57:49", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43123/?format=api", "dataPath": "/neodc/tccon/tccon_mirror/data/bialystok01", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 97847900, "numberOfFiles": 2, "fileFormat": "netcdf" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11853/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4573/?format=api", "nonGeographicFlag": false, "phenomena": [ 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The Caltech page for this data can be found here: https://data.caltech.edu/records/k67dv-a5z77", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/40019/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41059/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204735/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/41200/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2562/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/TCCON_data_license.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [] }, { "ob_id": 43124, "uuid": "e41965a32923498396fd8a8446f066f1", "title": "TOMCAT simulated Nord Stream methane plume, September 2022", "abstract": "This file contains the simulated atmospheric methane (CH4) mixing ratios over the North Sea and Northern Europe during the Nord Stream gas leak event during September 2022. Mixing ratios are provide on the TOMCAT T106 model grid, with a horizontal resolution of approximately 1.125 x 1.125 degrees. There are 60 vertical levels from the surface up to 0.1 hPa. The data covers the period from 00:00 UTC 26/09/2022 - 00:00 UTC 30/09/2022. There are two methane tracers, one containing background methane and methane from non-Nord Stream related sources, and a separate model tracer simulating CH4 from the Nord Stream leaks. For this simulation, Nord Stream was assumed to emit methane at a constant rate of 4.17 Gg hr^(-1). These simulations are discussed in Wilson et al., (2024) - 'Quantifying large methane emissions from the Nord Stream pipeline gas leak of September 2022 using IASI satellite observations and inverse modelling'.", "keywords": "Methane,Nord Stream,Natural Gas,Atmosphere,TOMCAT", "publicationState": "citable", "dataPublishedTime": "2024-09-19T10:35:02", "doiPublishedTime": "2024-09-19T10:44:53.979935", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43185/?format=api", "dataPath": "/neodc/deposited2024/TOMCAT_Nord_Stream_Methane/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 85528111, "numberOfFiles": 2, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11855/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4575/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/46796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75065/?format=api" ], "dataLineage": "Originally produced by Chris Wilson at the National Centre for Earth Observation (NCEO) at the University of Leeds, Leeds, UK in October 2022. Submitted by Chris Wilson to CEDA on acceptance of the related research in July 2024.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13188/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204746/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/2984/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43125, "uuid": "6c0c05d00c8a43a391834778a59359c4", "title": "Indoor Air Study - Phase III: Volatile Organic Compounds (VOC) concentrations", "abstract": "The use of multiple plug-in diffusers (liquid electricals/LEs) was assessed by quantifying air concentrations in controlled test rooms with up to 5 LEs of known formulation in concurrent use. Air samples were analysed using thermal desorption gas chromatography coupled to both flame ionisation (FID) and mass spectrometry (TD-GC-MS) detectors. The purpose of this study was to observe increases in VOC concentrations through the vertical stacking of LEs, ie. how do VOC concentrations change when more LEs are used.", "keywords": "VOC,Air quality,Indoor air", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11856/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "Air samples were collected by trained officers at Givaudan UK Ltd. Air samples and resulting VOC concentrations were analysed and worked up by Thomas Warburton.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204756/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43128, "uuid": "6b68b5e1ffd2467886386eaf0dfafd24", "title": "ICECAPS-ACE: Vertical aerosol particle size distributions from the University of Leeds POPS 0307 instrument collected via Helikite balloon above Summit Station, Greenland, July-August 2023", "abstract": "This dataset contains vertically resolved aerosol particle size distribution measurements collected using a tethered balloon platform at Summit Station, Greenland, in July and August 2023.\r\n\r\nAerosol particle size distributions were measured by a Handix Portable Optical Particle Spectrometer (POPS 1120, S/N: 0307). The POPS was placed in a lightweight insulating foam box, and a coarse mesh filter was placed over the inlet to prevent the growth of rime ice. The POPS was secured to the kite wing on the tethered balloon such that the inlet was always oriented into the wind.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2024-08-08T13:35:49", "doiPublishedTime": "2024-08-28T10:18:17", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43127/?format=api", "dataPath": "/badc/icecaps-ace/data/leeds-pops-0307", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 25468140, "numberOfFiles": 10, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11857/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75062/?format=api" ], "dataLineage": "Data were collected by the University of Leeds in collaboration with the ICECAPS project team and deposited at the Centre for 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Station Greenland measured by a Handix Portable Optical Particle Spectrometer (POPS 1120, S/N: 0288). The POPS was connected to an omnidirectional total air inlet and installed on the roof of the Atmospheric Watch Observatory building at Summit Station.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.", "keywords": "aerosol", "publicationState": "citable", "dataPublishedTime": "2024-08-07T10:23:30", "doiPublishedTime": "2024-08-07T10:24:41", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43134/?format=api", "dataPath": "/badc/icecaps-ace/data/leeds-pops-0288", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 293780963, "numberOfFiles": 7, "fileFormat": "Data are NetCDF formattede" }, "timePeriod": 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75061/?format=api" ], "dataLineage": "Data were collected by the University of Leeds in collaboration with the ICECAPS project team and deposited at the Centre for 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/204777/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43135/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43130, "uuid": "0c18a36ee02a4598963c1f7f97acd201", "title": "ICECAPS-ACE: radiosonde measurements from the University of Leeds Windsond unit 5094 deployed by helikite above Summit Station, Greenland, July-August 2023", "abstract": "This dataset contains meteorology measurements (air pressure, temperature, and relative humidity) from the University of Leeds windsond unit 5094 deployed by tethered balloon above the Summit Station field site, Greenland.\r\n\r\nPost-processing of the radiosonde data revealed unrealistic temperature increases when the measurement platform was stationary, these are indicated by a quality control flag. \r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.", "keywords": "radiosonde, tethered balloon", "publicationState": "citable", "dataPublishedTime": "2024-08-07T13:03:55", "doiPublishedTime": "2024-08-07T13:05:18", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43131/?format=api", "dataPath": "/badc/icecaps-ace/data/leeds-windsond-5094", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 600667, "numberOfFiles": 7, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11857/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4576/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75049/?format=api" ], "dataLineage": "Data were collected by the University of Leeds in collaboration with the ICECAPS project team and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13170/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30502/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204786/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43132/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43136, "uuid": "925816bd869644ad9fe9b877d8f42d30", "title": "CO2 column concentrations from GEOS-Chem, covering East Africa from January to April 2020", "abstract": "These model data include column concentrations of carbon dioxide (CO2) calculated using the GEOS-Chem atmospheric chemistry and transport model, covering a region over East Africa centred on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja, Uganda. The period modelled coincides with the EM27/SUN measurement dates, covering all days from 23rd January to 19th April 2020. \r\n\r\nA global GEOS-Chem model run was used on a 2.0deg x 2.5deg latitude-longitude grid with 47 vertical levels. Emissions inventories are used for the a priori flux estimates, taking into account CO2 emissions from biomass burning, fossil fuels, ocean fluxes, and biosphere fluxes. An ensemble Kalman Filter approach is used to estimate the CO2 fluxes, with either in-situ or satellite measurements of atmospheric CO2 (one .nc file for each) used as prior information on concentration. These calculations were performed by Liang Feng of the National Centre for Earth Observation, University of Edinburgh.", "keywords": "GEOS-Chem, Carbon Dioxide, East Africa", "publicationState": "citable", "dataPublishedTime": "2024-09-11T15:22:11", "doiPublishedTime": "2024-09-11T15:52:54.700661", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43165/?format=api", "dataPath": "/badc/moya/data/stations/uganda-jinja/MOYA_GEOSChem_CO2_Jinja", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 196713645, "numberOfFiles": 3, "fileFormat": "Net-CDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11858/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4577/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75042/?format=api" ], "dataLineage": "Global GEOS-Chem output was produced in daily files. The desired geographical region was extracted, the vertical profiles at each grid-point integrated to obtain the column concentration for each latitude-longitude pair in the region, and the data from all modelled days were collated into a single netCDF file for each model run (one using OCO-2 satellite data as prior concentration information, and one using in-situ measurements).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13185/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43166/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204801/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/19209/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43139, "uuid": "7ecc607cb09747a59da6f46a0635f469", "title": "CH4 column concentrations calculated from a high-res GEOS-Chem model run for Uganda, January to April 2020", "abstract": "These data comprise methane (CH4) column concentrations calculated from a GEOS-Chem model run, performed in a nested configuration at high spatial resolution (0.25deg x 0.3125deg latitude-longitude) centred on Uganda. The data included in the netCDF4 files cover a 6.0deg x 8.0deg box centred approximately on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja. \r\n\r\nFor the a priori methane emissions inside the nested domain the EDGAR v4.3.2 database is used for anthropogenic emissions, the WetCHARTS dataset for emissions from wetlands, and the GFAS database for daily biomass burning emissions. The boundary conditions for the nested domain come from a global GEOS-Chem model run at lower spatial resolution (2.0deg x 2.5deg latitude-longitude). An ensemble Kalman Filter system is used to perform the inversion. Two netCDF4 files are included: one where we just use the a priori emissions to determine the CH4 fluxes in the model domain, and one where TROPOMI CH4 (satellite observation) data is used to constrain the emissions.\r\n\r\nEDGAR - Emissions Database for Global Atmospheric Research (linked in the Details/Docs section)\r\nWetCHARTs - Wetland Methane Emissions and Uncertainty (linked in the Details/Docs section)\r\nGFAS - Global Fire Assimilation System (linked in the Details/Docs section)\r\nTROPOMI - TROPOspheric Monitoring Instrument", "keywords": "GEOS-Chem, Methane, CH4, East Africa", "publicationState": "citable", "dataPublishedTime": "2024-09-11T15:20:57", "doiPublishedTime": "2024-09-11T15:53:51.819695", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43164/?format=api", "dataPath": "/badc/moya/data/stations/uganda-jinja/MOYA_GEOSChem_CH4_Jinja", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 196713662, "numberOfFiles": 3, "fileFormat": "Net-CDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11861/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4578/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75041/?format=api" ], "dataLineage": "The GEOS-Chem model runs were performed by Mark Lunt at the University of Edinburgh (now at Environmental Defense Fund), producing daily data files containing methane concentration data on a latitude-longitude-height grid. We then integrated the methane concentrations over the vertical column at each grid point to obtain the total column concentration for each location, and collated the data into a single netCDF4 file. This was done for two sets of GEOS-Chem results (one netCDF4 file for each): one taking into account TROPOMI methane data when calculating the methane emissions in the model domain, and one using the prior emissions inventory data only.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13186/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43166/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204812/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/19209/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43140, "uuid": "b1656b6c7a554ca8b06a7dfe814f8770", "title": "Manx shearwater tracking data from Bardsey and Copeland in 2022 and 2023", "abstract": "Manx shearwaters' foraging movements were tracked during the breeding seasons of 2022 and 2023 from two colonies: Bardsey (North Wales) and Copeland (Northern Ireland). 247 tracking sessions were recorded in total, with 57 and 40 shearwaters tracked from Bardsey and Copeland respectively in 2022, and 63 and 62 shearwaters tracked from Bardsey and Copeland respectively in 2023. Tracks were recorded using AxyTrek tags produced by TechnoSmart. Tags recorded location (latitude/longitude), tri-axial acceleration, and pressure, which has been converted to depth (in metres). Data were generated by converting files downloaded from the loggers using the tag manufacturer's software. Data were collected between May and August each year (during the breeding season for Manx shearwaters). Breeding Manx shearwaters were captured at their nests and equipped with Axy-Trek loggers, attached to birds' back feathers using TESA tape.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11862/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4579/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Breeding Manx shearwaters were captured at their nests and equipped with Axy-Trek loggers (TechnoSmart Ltd, Rome), attached to birds' back feathers using TESA tape. Birds were released and then recaptured after several foraging trips (usually between 2-14 days after deployment) to retrieve the tag and download the data. Tags collected GPS fixes, tri-axial acceleration, and pressure. Data files downloaded from tags were converted using X Manager, custom-built software for using Axy-Trek devices provided by the manufacturer. X Manager was used simply to convert compressed files into csv files, allowing access to locations, acceleration and pressure data. Pressure data were converted to depth (in metres) during processing.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43141/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204830/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43142/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43147, "uuid": "11163154cef4496988d45658c9cfbabf", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 24.01", "abstract": "This version 24.01 dataset consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN: 5488/11/2021) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet 10 metres above ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. 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The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.", "keywords": "UK, Climate, Projections, UKCP18, Regional, Europe, Simulation, Model, Runs, CORDEX, EuroCORDEX", "publicationState": "published", "dataPublishedTime": "2025-12-03T17:22:31", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43157/?format=api", "dataPath": "/badc/ukcp18/data/land-eurocordex/uk-v20240104/region", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6979291393, "numberOfFiles": 14961, "fileFormat": "The data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10960/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3737/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75037/?format=api" ], "dataLineage": "EuroCORDEX project (https://www.euro-cordex.net/)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39547/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39548/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205059/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39544/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43158, "uuid": "28f7e3c0f738453c9b945ef1b1bd3262", "title": "EuroCORDEX-UK: Regional climate projections for the UK by River Basins for 1980-2080 (v20240104)", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12 km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for major UK river basins.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.", "keywords": "UK, Climate, Projections, UKCP18, Regional, Europe, Simulation, Model, Runs, CORDEX, EuroCORDEX", "publicationState": "published", "dataPublishedTime": "2025-12-03T17:23:01", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43159/?format=api", "dataPath": "/badc/ukcp18/data/land-eurocordex/uk-v20240104/river", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7984674125, "numberOfFiles": 14961, "fileFormat": "The data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10962/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3739/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75036/?format=api" ], "dataLineage": "EuroCORDEX project (https://www.euro-cordex.net/)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/39547/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39548/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205068/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39546/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43167, "uuid": "3889a9e536c04057a98a47db21602b62", "title": "GCHP global modelling output dataset for OH + NO2 (2021-2022)", "abstract": "These files contain model output for “Water dependence of OH+NO2 reaction reduces atmospheric oxidation” Winiberg et al., 2024. It was funded by the NERC BLEACH project (NE/W00724X/1).\r\n\r\nThe datasets are GEOS-Chem High Performance (GCHP) global model simulations of monthly mean or hourly mean of volume mixing ratios of atmospheric chemical species (e.g. Ozone (O3), PM2.5, hydroxide (OH), nitrogen dioxide (NO2) etc.) and of reaction rates of chemical reaction OH + NO2. For example, simulated O3 mixing ratio is represented by SpeciesConcVV_O3 in the netCDF files. \r\n\r\nFiles are COARDS compliant NetCDF generated by GEOS-Chem v14.2.2 to explore the global and regional impacts of changes to the OH+NO2 rate. There are 3 sets of data which each contain model output driven by two chemical mechanisms: standard mechanism in GCHP14.2.2 (directories starting 'STD_') and new mechanism with an updated rate constant (directories starting 'New_'). The calculation of reaction rate of OH+NO2 in new mechanism is updated based on the most recent measurements from JPL (NASA Jet Propulsion Laboratory). More details can be found in Winiberg et al., 2024.\r\n\r\nThe 3 sets of data included:\r\n1) Global monthly means from July 2021 to June 2022 at C48 resolution (~200km grid resolution) on 72 vertical levels (directories STD_Global/, New_Global/)\r\n\r\n2) The same but with anthropogenic emissions switched off to represent the preindustrial (directories STD_Global_anthOFF/, New_Global_anthOFF/)\r\n\r\n3) Global hourly values at the surface for July 2022 at C200 with a Stretch Factor of 2 centred on Asia (20°N 98°E) (~25km grid resolution) (directories STD_nested_surface_level/, New_nested_surface_level/)\r\n\r\nThe file names generally follows GEOS-Chem naming convention GEOSChem.DefaultCollection.YYYYMMDD_HHMMz.nc4. YYYY, MM, DD, HH, MM represent year, month, day, hour and minute. Z means UTC here. Surface data file has an extension (Surface_level_) at the beginning of the filename, which is manually added by Hansen Cao et al. to differentiate from the files for all vertical layers.\r\n\r\nThe modelling was done by Hansen Cao, Killian Murphy and Mat Evans at the University of York.\r\n\r\nCOARDS stands for the Cooperative Ocean/Atmosphere Research Data Service and are a set of conventions for the standardization of NetCDF files.", "keywords": "OH, NO2, BLEACH, GEOSChem", "publicationState": "citable", "dataPublishedTime": "2024-09-05T14:54:58", "doiPublishedTime": "2024-09-06T07:59:53.682902", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43170/?format=api", "dataPath": "/badc/deposited2024/BLEACH/v20240830/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 93502422864, "numberOfFiles": 1490, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11869/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4581/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data was generated by Hansen Cao, Killian Murphy and Mat Evans at University of York on the University of York Viking cluster.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13181/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43168/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205118/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43169/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43174, "uuid": "1f4ebb2944ec43a39ce6c69a8f1942fb", "title": "HadCM3 simulation data and model inputs supporting the manuscript \"Simulated millennial-scale climate variability driven by a convection-advection oscillator\"", "abstract": "This record contains Hadley Centre Coupled Model, version 3 (HadCM3) simulation data produced for the manuscript \"Simulated millennial-scale climate variability driven by a convection-advection oscillator\" by Y.M. Rome et al, submitted to Climate Dynamics https://doi.org/10.1007/s00382-025-07630-x\r\n\r\nThis paper introduces the convection-advection oscillator mechanism to explain the millennial-scale oscillations observed in a set of HadCM3 general circulation model simulations forced with snapshots of deglacial meltwater history. The oscillating simulation was compared to different simulations using a different meltwater forcing and model parametrisation to extract the main components at stake in the establishment of the oscillations. This record also includes a rerun of the primary oscillating simulation with additional salinity tendencies diagnostic included.\r\n\r\nThis results in six HadCM3 simulations of the Last Glacial Maximum (21,000 years ago) integrated over 3,000 to 10,000 years. The model outputs were saved as netcdf files, and the data were cropped to only include the fields relevant to the figures of the paper. This dataset can be used as the input of the companion scripts accessible using the following DOI: 10.5281/zenodo.13710877. The dataset also includes some of the model inputs, namely the land-sea mask, basin files, meltwater forcing and waterfix, necessary for the reproducibility of the results.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2025-08-19T15:45:56", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43550/?format=api", "dataPath": "/badc/deposited2024/lgm_oscillations_convadv/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9051796032, "numberOfFiles": 116, "fileFormat": "NetCDF and CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11871/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4584/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/16668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75035/?format=api" ], "dataLineage": "The main simulations were run for Romé et al. 2022 ( https://doi.org/10.1029/2022PA004451) and adapted for the specificity of the manuscript corresponding to this paper. This dataset also includes a rerun of the previous experiments with additional salinity tendencies outputs (XOUPK) and a sensitivity experiment without the global salinity scripts (XPPBF). The data here have been extracted from the raw outputs of HadCM3.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/38094/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205292/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/26560/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43175, "uuid": "18886f95ba84447f997efac96df456ad", "title": "Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014)", "abstract": "This dataset contains recorded or ‘actual’ abstraction and discharge data for sites across England that have been transformed into 1 km × 1 km resolution gridded data along with surface water Hands-off Flow (HoF) conditions, and are available in CSV and/or NetCDF formats. It includes:\r\n \r\n(i)\tMonthly abstractions (m3 month-1) from 1999 to 2014 for each source (Groundwater, Surface Water or Tidal Water)\r\n(ii)\tMean monthly abstractions (m3 month-1) over the period 2010 to 2014 for each source (Groundwater, Surface Water or Tidal Water)\r\n(iii)\tDaily rate of Consented Dry Weather flow (CDWF)and Recent Actual (RACT) discharges (m3 day-1) based on information from a 6-year period ending in 2017\r\n(iv)\tHands-off Flow (HoF) conditions (m3 day-1) for 2022\r\n\r\nFurther details, including caveats about usage, are provided in the linked Data Document.\r\n\r\nThese data were sourced from the Environment Agency (EA) monthly groundwater, surface water and tidal water abstraction data from 1999 to 2014, and annual discharges and surface water Hands-off Flow (HoF) conditions were obtained from the EA’s Water Resources Geographic Information System (WRGIS 2017 and 2022 versions respectively). \r\n\r\nThis data publication is supported by the Natural Environment Research Council award number NE/X019063/1 as part of the Hydro-JULES programme delivering National Capability. The dataset is also linked with the Climate Services for a Net Zero Resilient World (CS-N0W) project.", "keywords": "Abstractions,Discharges,Hands-off Flow,Artificial Influences,Groundwater,Surface Water,Tidal Water,Consented Dry Weather Flow,Recent Actual Discharges,CS-NOW,England,Hydrology,River Flows", "publicationState": "citable", "dataPublishedTime": "2025-01-22T16:37:23", "doiPublishedTime": "2025-01-23T14:24:36.200932", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43320/?format=api", "dataPath": "/badc/desnz-cs-now/data/gridded-actual-flows", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 166445191, "numberOfFiles": 13, "fileFormat": "NetCDF and BADC-CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11942/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4622/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75000/?format=api" ], "dataLineage": "The abstraction and discharge datasets were sourced from the Environment Agency. Specifically, monthly groundwater, surface water and tidal water abstraction data were obtained from 1999 to 2014, and annual discharges and surface water Hands-off Flow (HoF) conditions were obtained from the EA’s Water Resources Geographic Information System (WRGIS 2017 and 2022 versions respectively). Due to national security data restrictions regarding the location of public water supply abstractions, publication of the dataset is limited to a 1 km x 1 km resolution. Information at a higher resolution has been removed or converted to a 1 km x 1 km resolution as appropriate, and any personal or identifying data has been removed.\r\n\r\nThese data were compiled by the project team before archival at EDS-CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13229/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41577/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205384/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43417/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43176, "uuid": "6ae3dc8d92444b2bb954173fe98559b6", "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) L3 half-hourly 0.1 degree x 0.1 degree v7", "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v7. NASA’s Integrated Multi-satellitE Retrievals for GPM (IMERG) algorithm combines information from the GPM satellite constellation to estimate precipitation over most of the Earth's surface. IMERG is particularly valuable over areas of Earth's surface that lack ground-based precipitation-measuring instruments, including oceans and remote areas. \r\n\r\nIMERG fuses precipitation estimates collected during the TRMM satellite’s operation (2000 - 2015) with recent precipitation estimates collected by the GPM mission (2014 - present) creating a continuous precipitation dataset spanning over two decades. This extended record allows scientists to compare past and present precipitation trends, enabling more accurate climate and weather models and a better understanding of Earth’s water cycle and extreme precipitation events. IMERG is available in near real-time with estimates of Earth’s precipitation updated every half-hour, enabling a wide range of applications to help communities around the world make informed decisions for disasters, disease, resource management, energy production, food security, and more.\r\n\r\nThe precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2017 version of the Goddard Profiling Algorithm (GPROF2017), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiometer Algorithm (CORRA) product, and merged into half-hourly 0.1°x0.1° (roughly 10x10 km) fields. Level 3 data are averaged global gridded products, screened for bad data points\r\n\r\nThe Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow.", "keywords": "GPM, IMERG, precipitation, global, retrievals", "publicationState": "published", "dataPublishedTime": "2024-10-14T15:36:11", "doiPublishedTime": null, "updateFrequency": "unknown", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43178/?format=api", "dataPath": "/badc/gpm/data/GPM-IMERG-v7/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3431042407063, "numberOfFiles": 879438, "fileFormat": "Data are HDF5 formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8155/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data taken as is from National Aeronautics and Space Administration (NASA). https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L3/GPM_3IMERGHH.07/", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26514/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205333/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43177/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2615/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://gpm.nasa.gov/data/policy", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43179, "uuid": "593397b5f9654d76b5d37761e7566ca6", "title": "ESA Fire Climate Change Initiative (Fire_cci): Long-term Small Fire Dataset (SFDL) Burned Area pixel product for Test Sites: Amazonia, Africa and Siberia, version 1.0", "abstract": "The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project aims to generate burned area developed from satellite observations. 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The files in this dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation from the inner, fixed-resolution domain of the UKV model (this covers the UK area at a spatial resolution of 1.5 km). The UKV model uses a rotated-pole coordinate system. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at hourly resolution for the period Feb 2015 - Jul 2017. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of UK gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, UK, Numerical Weather Prediction", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43200/?format=api", "dataPath": "/badc/name_nwp/data/uk/UM1p5km_Mk3/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5312691942982, "numberOfFiles": 684687, "fileFormat": "Data are in packed PP format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11885/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4387/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85710/?format=api" ], "dataLineage": "The underlying NWP data is produced by the operational UKV configuration of the Met Office's Unified Model. The fields are then processed into PP format for use in NAME. Both of these tasks run as part of the Met Office's Operational Suite. The files are then archived into the Met Office's storage system, MASS. Files are then retrieved on the CEDA side using the JASMIN MASS client.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41590/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41596/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205470/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/41591/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43202, "uuid": "9d9bfc488ec54b1297eca2c9662f9c81", "title": "ESA Snow Climate Change Initiative (Snow_cci): Snow Water Equivalent (SWE) level 3C daily global climate research data package (CRDP) (1979 - 2022), version 3.1", "abstract": "This dataset contains v3.1 of the Daily Snow Water Equivalent (SWE) product from the ESA Climate Change Initiative (CCI) Snow project, at 0.1 degree resolution.\r\n\r\nSnow water equivalent (SWE) is the depth of liquid water that would result if the of snow cover melted completely, which equates to the snow cover mass per unit area. The SWE product covers the Northern Hemisphere from 1979/01 to 2022/05 with complex terrain, land ice, and large lakes masked. The dataset covers the Northern Hemisphere winter season (October – May; occasional data produced during June and September) at a daily frequency starting in October 1987 and every second day from 1979 to May 1987. Retrievals are not produced for coastal regions of Greenland. \r\n\r\nThe product combines passive microwave data with ground-based snow depth measurements, via Bayesian non-linear iterative assimilation, to estimate SWE. It is based on data from the recalibrated enhanced resolution CETB ESDR dataset (MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) https://nsidc.org/pmesdr/data/) resampled to the 12.5km EASE-Grid 2.0. \r\n\r\nA background snow-depth field, derived from re-gridded snow-depth observations made at synoptic weather stations, and a passive microwave emission model are the key components of the retrieval scheme. Snow density, which varies in both time and space, is parameterized from interpolated in situ observations from snow courses and snow pillows equipped with co-located snow depth sensors.\r\nThe dataset is aimed to serve the needs of users working on climate research and monitoring activities, including the detection of variability and trends, climate modelling, and aspects of hydrology and meteorology.\r\n\r\nThe Finnish Meteorological Institute is responsible for the SWE product generation. The SWE development is carried out in collaboration by FMI and Environment and Climate Change Canada (ECCC). \r\n\r\nChanges from v2.0 and v3.0\r\nv3.1 applies spatially and temporally varying snow densities within the SWE retrieval instead of during post-processing. The dry snow detection algorithm as well as the snow masking in post-production have also been updated. The time series has been extended from snow_cci version 2 by two years from 2020 to 2022. In comparison with in situ snow courses, the correlation and RMSE of v3.1 improved by 0.014 and 0.6 mm, respectively, relative to v2.0. The timing of peak snow mass is shifted two weeks later compared to v1.0 and reduction in peak snow mass presented in v2.0 is removed in v3.1. Differences between v3.0 and v.3.1 are minor, the resampling from 12.5km EASE-Grid 2.0 to the final 0.1 resolution grid has been changed for v.3.1 resulting in improved peak snow mass estimation.", "keywords": "ESA, CCI, Snow, SWE", "publicationState": "citable", "dataPublishedTime": "2024-11-07T11:58:03", "doiPublishedTime": "2024-11-07T12:50:00", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43236/?format=api", "dataPath": "/neodc/esacci/snow/data/swe/MERGED/v3.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13620769573, "numberOfFiles": 8972, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11866/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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"accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43207, "uuid": "1a999bef88a04e5683f6f43c3c0350bf", "title": "Liquid water path retrieved from MARSS airborne radiometer (Mar-Apr; Oct-Nov 2022)", "abstract": "Data files of liquid water path from MARSS airborne radiometer data during the M-Phase and ACAO campaigns. The retrieval is through a \"1DVar\" optimal estimation approach using ARTS (radiativetransfer.org) as a forward model.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11889/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4596/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "L0 radiometer data were processed to L1 with standard MARSS processing using the onboard calibration target. L1 data were then used in retrieval.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205528/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43208/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43217, "uuid": "10ae416c4ccb4a90bdb5da0bbf68d4f9", "title": "Water tracer precipitation output from the Met Office Unified Model (GAL9.0) for 1985-2014", "abstract": "This dataset contains global water tracer precipitation from a historical simulation of the Met Office Unified Model (UM) for the 30 year period, 1985 to 2014. The water tracer data can be used to track the source evaporative properties of the model's precipitation and is used in the following paper:\r\n\r\nMcLaren, A. J., Sime, L. C., Wilson, S., Ridley, J., Gao, Q., Gorguner, M., Line, G., Werner, M., and Valdes, P.: Implementation of water tracers in the Met Office Unified Model, Geosci. Model Dev., 18, 8129-8142, https://doi.org/10.5194/gmd-18-8129-2025, 2025.\r\n\r\nThe simulation is atmosphere only, with prescribed sea surface temperature and sea ice starting in 1979. The ‘N96’ horizontal resolution version of the UM is used which has 192 longitude points by 144 latitude points, with a mid-latitude resolution of 135km. There are 85 vertical levels with 50 levels below 18km and a fixed model lid at 85km above sea level. The scientific configuration is GAL9.0 and the UM version is 13.3. \r\n\r\nIn the dataset, the different water tracers have an associated 'water tracer number'. These are:\r\n1 = Total precipitation\r\n2 = Precipitation that has been sourced from Northern Hemisphere (NH) sea ice sublimation\r\n3 = Precipitation that has been sourced from Southern Hemisphere (SH) sea ice sublimation\r\n4 = Precipitation that has been sourced from NH open ocean evaporation\r\n5 = Precipitation that has been sourced from SH open ocean evaporation\r\n6 = Precipitation that has been sourced from NH land evapotranspiration\r\n7 = Precipitation that has been sourced from SH (north of 60S) land evapotranspiration\r\n8 = Precipitation that has been sourced from SH (south of 60S) land evapotranspiration\r\n9-23 = Scaled flux water tracer precipitation (see McLaren et al. 2025 for details)\r\nThese are fully documented in McLaren et al. (2025). \r\nGlobal climatological seasonal means for the 30 year period, 1985 - 2014, are provided.", "keywords": "Water tracer, Precipitation", "publicationState": "citable", "dataPublishedTime": "2025-01-23T14:20:42", "doiPublishedTime": "2025-06-10T08:01:24", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43375/?format=api", "dataPath": "/badc/deposited2025/UM_water_tracer_precip", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10195197, "numberOfFiles": 2, "fileFormat": "Data is NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11913/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4597/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74970/?format=api" ], "dataLineage": "Monthly mean water tracer precipitation was output from the Met Office UM simulation. This was then used to calculate the 30-year seasonal mean data using the Python package Iris by the project team before uploading to CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13415/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43220/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205578/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43218/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43221, "uuid": "f41b507bd482419f891277f2084cc12c", "title": "OSCA IOP-1 Summer: Hydrogen Chloride Abundance from HCl-TILDAS Instrument at Manchester Air Quality ", "abstract": "Hydrogen chloride time series observations (units:ppbv) from the Manchester Air Quality Site (MAQS), University of Manchester, Manchester, UK, during June-July2021. Data were sampled at 3m above ground level by an HCl-TILDAS instrument (manufactured by Aerodyne Research Inc) installed within a shipping container. The HCl-TILDAS is a tunable infrared laser direct absorption spectrometer and works by the principles of infrared absorption spectroscopy. The data was collected as part of the Integrated Research Observation System for Clean Air (OSCA) project winter intensive to investigate the role of chlorine in an urban background environment. John Halfacre and Pete Edwards collected and performed quality control on the data. Data during blanks, calibrations, and internal instrument quality testing has been removed from this data set. Additionally, data for which the spectral fit was deemed poor were also removed.", "keywords": "chlorine,OSCA,hcl,hydrogen chloride,MAQS,Manchester,halogen,air quality", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11898/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4598/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected by the authors using HCl-TILDAS. Preliminary processing has been performed by John Halfacre, including background subtraction, removal of calibration / testing / blank data, and uncertainty estimation.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37963/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205589/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43222/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43226, "uuid": "f29f666e890045c783b4eef7399e9cc5", "title": "Lava Aerosol Gas and Trace Element data from the Fagradalsfjall 2021-2023 eruption, Iceland", "abstract": "Aerosol gas and trace element data collected above vents and lava flows during the 2021-2023 Fagradaslfjall volcanic eruptions, Iceland, as well as input parameters and results for thermochemical equilibrium modelling performed in the case study.\r\n\r\nThe gas data includes those collected by Fourier transform infrared (FTIR) spectroscopy and mutiGAS instrument sampling. The trace element data was collected by filter pack sampling mounted on an Uncrewed Aerial Vehicle (UAV) and analysed by Ion Chromatography Mass Spectrometry (IC-MS) and Inductively coupled plasma mass spectrometry (ICP-MS).\r\n\r\nThese data support the paper Wainman et al., 2024 \"Trace element emissions vary with lava flow age and thermal evolution during the Fagradalsfjall 2021-2023 eruptnkedions, Iceland\" which also contains a full description of sampling method (document listed below).", "keywords": "Gases,Trace elements,Lava flows,Iceland,Volcanic eruption,Thermochemical modelling", "publicationState": "citable", "dataPublishedTime": "2024-11-28T16:54:18", "doiPublishedTime": "2024-11-28T17:06:53", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43264/?format=api", "dataPath": "/badc/deposited2024/Fagradalsfjall_Lava_Aerosol/", "oldDataPath": [], "storageLocation": "internal", 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The derived quantities turbidity and chlorophyll-a can be used to determine variability in the optical and biochemical conditions of the lake and other included water bodies. \r\n\r\nA set of vegetation, built-up area, and water indices are included to aid users in selection data ranges and locations of interest. These include the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI) Augmented Normalized Difference Water Index (ANDWI) and Modified Normalized Difference Water Index (MDNWI).\r\n\r\nThese data sets have been created following the specific format for climate data at high resolution for the UK (CHUK) within the EOCIS project. The CHUK grid consists of 100m x 100m cells in British National Grid (BNG) projection. 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matched contrails in ground based camera imagery over London between November 2021 and April 2022", "abstract": "This dataset provides aircraft flight path information and ground-based camera imagery to support the evaluation of models of contrail formation and persistence. \r\n\r\nCamera imagery and corresponding flight path information were collected for 5 separate days where contrail formation was identified over London between November 2021 and April 2022, leading to 16 hours of observation. 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Data are provided at the daily scale, from 1983-01-01 to present (latency around 7 days) at 0.25 degrees by 0.25 degrees spatial resolution.\r\n\r\nUsers should note that, due to challenges in estimating root-zone soil moisture, large differences can occur between datasets. As a result, absolute root-zone soil moisture values (including those from TAMSAT-SM) should be interpreted with caution when comparing across different products.\r\n\r\nFor further details, please visit the TAMSAT website (https://www.tamsat.org.uk)", "keywords": "Soil Moisture,Drought,Africa,EOCIS,Climate,TAMSAT", "publicationState": "citable", "dataPublishedTime": "2025-06-17T08:01:24", "doiPublishedTime": "2025-06-17T08:03:13", "updateFrequency": "unknown", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44509/?format=api", "dataPath": "/neodc/eocis/data/global_and_regional/soil_moisture_africa/v2.3.1/daily", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 30725744480, "numberOfFiles": 15738, "fileFormat": "Files are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12008/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4664/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84129/?format=api" ], "dataLineage": "This dataset was produced by the TAMSAT Group (University of Reading) in the context of the Earth Observation Climate Information Service (EOCIS) project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13418/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206537/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44497/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43252, "uuid": "b59bd616e0b24388b8b57a195ea4d538", "title": "EOCIS: Time Series of Arctic Sea Ice Thickness, Volume & Mass V1.00", "abstract": "This dataset contains Sea Ice Arctic Thickness, Volume and Mass data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThe sea ice products provide a time series of Arctic sea ice thickness, volume and mass (for the whole Arctic region and of 17 sub-regions), delivered in NetCDF files, where thickness, volume and mass are each variables. \r\n\r\nEOCIS sea ice thickness, volume and mass NetCDF products are generated monthly by the Centre for Polar Observation and Modelling (CPOM) from radar altimetry measurements taken from the ESA CryoSAT-2 satellite during the winter months (Oct-Apr).\r\n\r\nSea ice thickness is only reliably measured from satellite radar altimetry during the winter months. During summer, melt ponds can form on the sea ice floes making it difficult for the satellite to differentiate between floes and leads, and hence calculate sea ice freeboard (and subsequently thickness). 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The ATSR-2 and AATSR instruments have been grouped as (A)ATSR L3C v4.35.1 products. 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Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. 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This was collected as part of the NERC Reconciling Volcanic Forcing and Climate Records throughout the Last Millennium (Vol-Clim) project, which aims to resolve the discrepancy between climate model simulations and data on the magnitude of temperature changes caused by large-magnitude volcanic eruptions.\r\n\r\nThe 9 NetCDF files provide 10 years of zonal mean, monthly-mean 1.5m air temperature data and the top of atmosphere outgoing longwave and shortwave fluxes for 9 UKESM1.0 realisations. Additionally, the \"emissions\" files for the stated eruption years provide the Stratospheric Aerosol Optical Depth (SAOD) at 550nm.\r\n\r\nThe CSV files provide monthly-mean, global mean or northern-hemispheric mean data for UKESM1, CESM2 (WACCM6ma), MPI-ESM1-2-LR, MRI-ESM2, MIROC-ES2L, and IPSL-CM6A-LR. We provide SAOD at 550nm for UKESM, CESM2, and MRI, with all models providing 1.5 air temperature.\r\n\r\nMarshall, L. R., Schmidt, A., Schurer, A. P., Abraham, N. L., Lücke, L. J., Wilson, R., Anchukaitis, K., Hegerl, G., Johnson, B., Otto-Bliesner, B. L., Brady, E. C., Khodri, M., and Yoshida, K.: Last Millennium Volcanic Forcing and Climate Response using SO2 Emissions, EGUsphere, https://doi.org/10.5194/egusphere-2024-1322, 2024.", "keywords": "Vol-Clim, model, aerosol, volcanic, eruption", "publicationState": "citable", "dataPublishedTime": "2025-01-22T10:42:20", "doiPublishedTime": "2025-01-22T10:42:36.272831", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43376/?format=api", "dataPath": "/badc/deposited2020/vol-clim/Marshall_et_al_2024", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20462394, "numberOfFiles": 14, "fileFormat": "Data are NetCDF and CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11945/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4624/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74964/?format=api" ], "dataLineage": "This work used the ARCHER UK National Supercomputing Service (2013 to 2021), the NEXCS High-Performance Computing facility funded by the Natural Environment Research Council and delivered by the Met Office between 2017 and 2021, Monsoon2, a collaborative High-Performance Computing facility funded by the Met Office and the Natural Environment Research Council, and JASMIN, the UK collaborative data analysis facility.\r\n\r\nUKESM1 simualtions were performed on the HPC with data processed on JASMIN by Dr L. Marshall.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13226/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/31857/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205804/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39993/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43281, "uuid": "397b2da3a0d04bde8e5e1e341c829422", "title": "Swansea University Aerosol Algorithm: (Advanced) Along-track Scanning Radiometers Daily Collated Level-3 Product v4.35.1", "abstract": "This dataset provides global Aerosol Optical Depth (AOD) from the Along-Track Scanning Radiometer-2 (ATSR-2) and Advanced Along-Track Scanning Radiometer (AATSR), presented on a 1° latitude-longitude grid, running from 1995-2003 (ATSR-2) and 2002-2012 (AATSR). \r\n\r\nThe product contains the daily mean and standard deviation of the total AOD and fine-mode AOD at 550nm retrieved within each grid cell. An uncertainty estimate is provided for the total AOD. It also includes a number of associated quantities determined consistently with the retrieval: AOD at 670nm, 870nm and 1600nm; surface reflectance at 550nm, 670nm, 870nm and 1600nm; Angstrom exponent, non-spherical dust AOD, absorbing AOD and single scattering albedos all at 550nm; and the cloud and land fractions. \r\n\r\nThe data here are part of a set of data that have been produced by Swansea University as part of the Earth Observation Climate Information Service (EOCIS) project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project. 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The database aims to summarise the state of double substituted methane isotopologues (know also as clumped isotopologues, Δ13CH3D and Δ12CH2D2) measurement research, with an emphasis on compiling results of all relevant work and aid development of the inputs to atmospheric modelling studies. The compiled database comprises 1241 data records from 63 peer-reviewed articles. Database includes both field samples and laboratory experiments from numerous laboratories worldwide.\r\n\r\nThis database is made freely available to the scientific community. The database has a Digital Object Identifier (DOI). We rely on the ethics and integrity of the user to assure that the authors receive fair credit for their work. 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The Grasshopper2 GS2-GE-50S5C camera on the ROV collected vertically orientated still images at a target altitude of 2.5 m above the seabed, of which 16435 were suitable to assess benthic biological patterns around an area disturbed by a deep-sea mining machine in 1979. The mining machine (9 m wide, 14 m long, 4.5 m high) was operated by the Ocean Minerals Company (OMCO) from the ship Hughes Glomar Explorer on the seafloor between 15 and 18 March 1979 at a site centred 13°44'N 126°13.5'W. The images show the seabed covered by polymetallic nodules and the disturbance caused by the past mining activities. Images were collected within the Collection Tracks, in an adjacent area expected to have been impacted by a sediment plume (Plume Area), and a Control Area around 2 km away. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2024-10-18T16:14:59", "doiPublishedTime": "2024-10-18T16:14:59", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43312/?format=api", "dataPath": "/bodc/deposits01/soc240571", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 76060542027, "numberOfFiles": 16441, "fileFormat": "JPG, .txt, .csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11956/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4631/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13212/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206189/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43318, "uuid": "95e05ed31ee5492f9c38a56cfc58d9ec", "title": "Benthic images recorded by a towed camera in 1978-79 in the Ocean Minerals Company (OMCO) area of the Clarion Clipperton Zone (Pacific Ocean)", "abstract": "In 1978 and 1979, three cruises were conducted on the R.V. Governor Ray. These expeditions collected still images of the seafloor of the Clarion Clipperton Zone in the Pacific Ocean using a towed camera system. This dataset includes the images collected in the vicinity of a deep-sea mining collector test carried out by the Ocean Minerals Company (OMCO) in 1979. Two cruises were carried out before the test (June 1978: GR7801; November 1978: GR7804) and one after (October 1979: GR7904). Monochrome images were collected using a Benthos 35 mm film camera, mounted vertically on a towed frame. Height above the seabed was determined with a Benthos Model 211 altimeter and recorded on each photographic frame. Images where seafloor was visible were collected at altitudes ranging from 0.6 - 9 m. Images were digitised from the original films. Only images collected at altitudes < 6 m were included in the dataset as these allowed reliable detection of megafaunal specimens > 20 mm. Overlapping images were removed through manual inspection (leaving a total of 1929 images). While the images did not image the tracks themselves, they provide important context about change in the baseline environment over time and are used to assess megafaunal communities. The still images deposited here form part of a larger set of images analysed in doi:10.1080/10641199309379903. The images here were used with data from a 2023 survey doi:10.5285/2392b266-126b-db3f-e063-7086abc0fe00, by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2024-12-05T12:24:11", "doiPublishedTime": "2024-12-05T12:24:11", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43317/?format=api", "dataPath": "/bodc/deposits01/soc240656", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3318795616, "numberOfFiles": 1934, "fileFormat": "JPG, TXT, CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11957/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4633/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13215/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206219/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43329, "uuid": "4c246cb11aa04651a0182b2d329a84f9", "title": "EOCIS: Arctic Sea Ice Thickness Grids, v1.00", "abstract": "This dataset contains Arctic Sea Ice Thickness data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThe sea ice products provide a 5x5 km grid of Arctic sea ice thickness (for the whole Arctic region and of 17 sub-regions), delivered as NetCDF files. \r\n\r\nEOCIS sea ice thickness NetCDF products are generated monthly by the Centre for Polar Observation and Modelling (CPOM) from radar altimetry measurements taken from the ESA CryoSAT-2 satellite during the winter months (Oct-Apr).\r\n\r\nSea ice thickness is only reliably measured from satellite radar altimetry during the winter months. During summer, melt ponds can form on the sea ice floes making it difficult for the satellite to differentiate between floes and leads, and hence calculate sea ice freeboard (and subsequently thickness). Measurement during summer months using radar altimetry is an area of active research (Landy et al, 2022) but is not yet operationally processed.\r\n\r\nFor future updates to this dataset, see the EOCIS CPOM page in the related documents section.", "keywords": "Sea,Ice,Sea-ice,Arctic,CryoSat-2,Thickness,EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-03-20T13:56:10", "doiPublishedTime": "2025-03-20T16:19:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43570/?format=api", "dataPath": "/neodc/eocis/data/global_and_regional/arctic_sea_ice/arctic_sea_ice_thickness_grids/L3C/monthly/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1356759727, "numberOfFiles": 100, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12130/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4635/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74952/?format=api" ], "dataLineage": "This dataset was produced by the Centre for Polar Observation and Modelling in the context of the Earth Observation Climate Information Service (EOCIS) project, using radar altimetry data from European Space Agency (ESA) satellites.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13259/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206240/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43343/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43337, "uuid": "afa4296dd881415eb522eafe7d8116ac", "title": "EOCIS: Antarctica Ice Sheet Surface Elevation Change, v1.0", "abstract": "This dataset contains Rates of Surface Elevation Change for the Antarctic Ice Sheet produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nSurface elevation change is provided as a 5x5 km grid over the land ice for the Antarctic Ice Sheet (excluding peripheral ice caps and glaciers) and includes drainage basins (Rignot et al., 2016), delivered as NetCDF files.\r\n\r\nFor future updates to this dataset, see the EOCIS CPOM page in the related documents section.", "keywords": "Ice,Sheet,Surface,Elevation,Antarctica,EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-04-16T14:24:41", "doiPublishedTime": "2025-04-17T12:23:00", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43858/?format=api", "dataPath": 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86155/?format=api" ], "dataLineage": "This dataset was produced by the Centre for Polar Observation and Modelling in the context of the Earth Observation Climate Information Service project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13317/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 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"https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43338, "uuid": "6ccd55eedabf49fcbcdda3332460e67f", "title": "EOCIS: Antarctica Mass Balance, v1.0", "abstract": "This dataset contains Rates of Mass Change for the Antarctic Ice Sheet produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nMass change is provided as a 5x5 km grid over the land ice for the Antarctic Ice Sheet (excluding peripheral ice caps and glaciers) and includes drainage basins (Rignot et al., 2016), delivered as NetCDF files. EOCIS land ice products are generated monthly by CPOM from the satellite radar altimetry record, ERS-1 to CryoSat-2. Future product versions for this dataset will be hosted at the Centre for Polar Observation and Modelling (CPOM).\r\n\r\nFor future updates to this dataset, see the EOCIS CPOM page in the related documents section.", "keywords": "Ice,Sheet,Mass,Balance,Antarctica,EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-08-11T14:50:19", "doiPublishedTime": "2025-08-11T15:03:33", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43857/?format=api", "dataPath": "/neodc/eocis/data/global_and_regional/land_ice/ice_sheet_mass_balance/antarctica", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13581623018, "numberOfFiles": 328, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12558/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4648/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85684/?format=api" ], "dataLineage": "This dataset was produced by the Centre for Polar Observation and Modelling in the context of the Earth Observation Climate Information Service project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13491/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206282/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43339/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43344, "uuid": "dcad505a8203486e8a3b530a6dff00ca", "title": "ATSR-2: Multimission land and sea surface temperature data. Fourth Reprocessing (v4) AT_1_RBT", "abstract": "The Along Track Scanning Radiometer2 (ATSR2) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe ERS2 ATSR2 Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis A/ATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. \r\n\r\nThe 4th reprocessing of Envisat AATSR data was completed in 2022.", "keywords": "ATSR2, AATSR multimission, Sentinel-SAFE", "publicationState": "published", "dataPublishedTime": "2025-03-24T10:54:45", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43380/?format=api", "dataPath": "/neodc/aatsr_multimission/atsr2-v4/data/AT_1_RBT", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 31724639715529, "numberOfFiles": 71851, "fileFormat": "ESA SAFE" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/2310/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data were acquired by the European Space Agency's (ESA) ERS2 satellite and this fourth reprocessing was completed by ESA and the data copied to the Centre for Environmental Data Analysis (CEDA) where users can access the data.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/7803/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43181/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206295/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43378/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2586/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43345, "uuid": "a90f6e14e9a24ce5bdb67dab93b2eb80", "title": "EOCIS: Level 2 atmospheric and surface properties from METOP-A derived using the RAL extended Infrared Microwave Sounder (IMS) retrieval scheme, version ?", "abstract": "This dataset provides Level 2 (non-gridded) data from the Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) retrieval scheme. This retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounts of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. \r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nIn this dataset, the retrieval scheme has been applied to the infra-red and microwave sounders on the Metop-A satellite (IASI, AMSU and MHS).\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme was funded by NCEO. This version of the data was produced as part of the EOCIS project. \r\nData were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”", "keywords": "RAL, IMS, atmospheric and surface properties, METOP-A", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9178/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Development of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. This version of the data was produced as part of the Earth Observation Climate Information Service (EOCIS) project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206306/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43471/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43346, "uuid": "9bdf6a69b0934f3185dfde40860208d7", "title": "__MUST_UPDATE__20241210153340__ EOCIS L2 - RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1", "abstract": "The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. \r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nThe retrieval scheme has been applied to the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS). The data sub-set provided here comprises four months (April, July, September, December) of Suomi-NPP data in 2018 produced with the horizontal sampling of CrIS, ~18x18 km.\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme and production of this Suomi-NPP data sub-set were funded through NCEO. Data were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”", "keywords": "RAL, IMS, atmospheric and surface properties, Suomi-NPP", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9178/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Development of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api" ], 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"discoveryKeywords": [] }, { "ob_id": 43348, "uuid": "b766867ceadb409da64d480bdbe4057d", "title": "EOCIS: Geospatial Information Files V1.1", "abstract": "This dataset contains categorical geographical information data files for the UK to enable the effective translation of climate data into new forms of actionable information. \r\n\r\nThese datasets have been created as part of the Earth Observation Climate Information Service (EOCIS) project, following the specific format and nature of the EOCIS Climate information at Hi-res for the UK (CHUK) grid, as specified by NCEO. \r\n\r\nThe information files cover the following attributes: \r\n* land and permanent water\r\n* tags for the devolved nation of the UK (also Eire, France, etc)\r\n* tags for the county / council / unitary authority / metropolitan or London borough\r\n* tags for the parish / community / town council\r\n* tags for the UK postcode sector \r\n* tags for appropriate administrative boundaries relating to the National 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87804/?format=api" ], "dataLineage": "This dataset was produced by Environmental Insight Partners (previously the Institute for Environmental Analytics) in the context of the Earth Observation Climate Information Service (EOCIS) project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13515/?format=api" ], "projects": [ 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"https://api.catalogue.ceda.ac.uk/api/v2/computations/43593/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43349, "uuid": "54df57f3aaed4867bec35ebdb31f4a8b", "title": "EOCIS: University of Leicester GOSAT Proxy XCH4, v9.0_eocis", "abstract": "The University of Leicester GOSAT Proxy XCH4, v9.0_eocis data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an Earth Observation Climate Information Service (EOCIS) funded version of the NCEO GOSAT Proxy XCH4 v9.0 dataset which is itself an update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S) CH_4 v7.2 datasets. It is a full reprocessing, based on different underlying L1B radiance data with additional changes. The latest version of the GOSAT Level 1B files (version 210.210) was acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. These measured radiances have the recommended radiometric calibration and degradation corrections applied as per Yoshida et al., 2013 with an estimate of the spectral noise derived from the standard deviation of the out-of-band signal. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details.", "keywords": "GOSAT, CH4, Methane, EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-08-08T14:55:43", "doiPublishedTime": "2025-08-11T08:47:19", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43855/?format=api", "dataPath": "/neodc/eocis/data/global_and_regional/methane/gosat/CH4_GOS_OCPR/L2/v9.0_eocis/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12717744957, "numberOfFiles": 5268, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12140/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2620/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68646/?format=api" ], "dataLineage": "Data were produced by the University of Leicester project team and delivered to Centre for Environmental Data Analysis (CEDA) for archival and publication. The data was produced as part of the Earth Observation Climate Information Service (EOCIS) project (grant number NE/X019071/1).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13489/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206344/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43581/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43355, "uuid": "4bfed57aaa324847b5df139b7114e32c", "title": "Benthic images collected by Remotely Operated Vehicle during expedition JC241 in the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2023", "abstract": "A collection of 7000 benthic still images was obtained using a downward-looking camera mounted on the UK ISIS Remotely Operated Vehicle (ROV), dive 413, deployed from RRS James Cook during cruise JC241 in the abyssal plain (~4100 m depth) of the northern part of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2023. The ROV was piloted to survey the seafloor across seven 2 km transect lines. The Grasshopper2 GS2-GE-50S5C camera system mounted on the ROV collected downward-looking still images at a target altitude of 3 m above the seabed. Images were colour corrected to enhance visual fidelity based on known sediment and nodule colours and converted from original 8-bit RAW to JPG images. Overlap among images was removed based on automated computer vision, and was later validated with human verification of overlap between successive images. The image set was subsequently annotated using the online platform BIIGLE (Bio-Image Indexing and Graphical Labelling Environment) to derive ecological understanding on seabed community composition under natural dynamics. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2024-12-18T15:00:00", "doiPublishedTime": "2024-12-19T11:49:01", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43353/?format=api", "dataPath": "/bodc/deposits01/soc240662", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 30799081980, "numberOfFiles": 7002, "fileFormat": "JPG" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11990/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4658/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13217/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206356/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43356, "uuid": "38b8f36f312549f88a4b0faa72d6a15b", "title": "Benthic images collected by Autonomous Underwater Vehicle during expedition JC257 in the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024", "abstract": "A collection of 1828 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), mission number: AS5M091, deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4100 m depth) of northern part of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. The AUV was programmed to replicate five 2 km long transect lines that were previously surveyed in 2023 during cruise JC241 using the UK ISIS Remotely Operated Vehicle (ROV). The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected downward-looking still images at a target altitude of 3 m above the seabed, with one image being captured per second. These images were colour corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The final image set was inspected for overlap, which was non-existent. The image set was subsequently annotated using the online platform BIIGLE (Bio-Image Indexing and Graphical Labelling Environment) to derive ecological understanding on seabed community composition under natural dynamics. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2024-12-18T15:00:00", "doiPublishedTime": "2024-12-19T11:53:40", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43354/?format=api", "dataPath": "/bodc/deposits01/soc240663", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6343823700, "numberOfFiles": 1829, "fileFormat": "JPG" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11991/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4659/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13218/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206366/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43370, "uuid": "8a1275654409406b9e86b63bbe8e6f57", "title": "Monthly Rainfall Records in Istanbul, Türkiye (1846-1917)", "abstract": "This project focuses on rescuing and digitizing historical monthly rainfall data in Istanbul from 1846 to 1917 for the first time. Rainfall records were collected by foreign scientists, engineers, and officials during the last century of the Ottoman Empire. Guidelines on Best Practices for Climate Data Rescue by the World Meteorological Organization were followed for rescuing the weather observations.", "keywords": "istanbul,ottoman,rainfall,19th century,20th century", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11995/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4660/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "This project focuses on rescuing and digitizing historical monthly rainfall data in Istanbul from 1846 to 1917 for the first time. Rainfall records were collected by foreign scientists, engineers, and officials during the last century of the Ottoman Empire.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43371/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206389/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43372, "uuid": "bf499353b0e64ab7b4b62335e84f891b", "title": "Particle mass concentrations from atmospheric oxidation of pesticides", "abstract": "1. Particle total mass concentration as a function of time for a number of experiments.\r\n2. The experiments were conducted at the Laboratory of Atmospheric Science at the University of Manchester\r\n3. The experiments were conducted over a month's period summer 2023. \r\n4. A number of pesticides were added to an oxidation flow reactor (OFR) along with ozone (O3). At certain points, a number of 254nm lamps were switched on to photolyse the O3 and produce hydroxyl radicals (OH) that would oxidise the pesticides and form secondary organic aerosol (SOA). \r\n5. The data were collected to understand the efficiency of different pesticides to form SOA.\r\n6. The data were collected by Dr Aristeidis Voliotis and Ms. Olivia Jackson.\r\n7. Data should be complete.", "keywords": "particle mass,pesticides,s", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11996/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "Data were generated in the framework of a funded project entitled: \"Exploring the Toxicity of Secondary Organic Aerosol formed from Atmospheric Oxidation of Pesticides\" (TOX-PEST) that was aimed to understand the efficiency of different pesticides to form SOA.\r\n\r\nThe data were interpreted by the Centre for Atmospheric Sciences at the University of Manchester.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43373/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206400/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43374/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43381, "uuid": "da96a0e3306d44a398126403e5d3a654", "title": "EOCIS: Land Vegetation Parameters, V1", "abstract": "This dataset contains Land Vegetation Parameter data produced within the Earth Observation Climate Information Service (EOCIS) project. Two vegetation variables corresponding to the leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (fAPAR) are produced with associated quality control maps (QC) for the United Kingdom at 20m and 100m resolutions on both a 15 day and a monthly basis from April 2018 to December 2024. These data were produced by the LEAF toolbox (see documentation) from data acquired from the Multispectral Imager (MSI) on Sentinel-2. Gap-filled data are available for 100m spatial resolution at a 15-day temporal resolution.\r\n\r\nThe products can be mainly used for environmental monitoring and modelling. In particular, the produced data are suitable for 1) monitoring the spatial and temporal variability of the vegetation cover; including forests and crops, 2) parameterization, calibration, updating and validation of crop growth models commonly used for simulating the crop growth and predicting yield at field and regional scales, and 3) investigating the main patterns for future plans by decision makers.", "keywords": "Land Vegetation Parameters,LAI,fAPAR,Leaf Area Index,Fraction of Absorbed Photosynthetically Active Radiation,Sentinel-2,MSI,CHUK,EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-07-22T12:33:22", "doiPublishedTime": "2025-07-22T13:06:35", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44476/?format=api", "dataPath": "/neodc/eocis/data/CHUK/land_vegetation_parameters/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 450794664560, "numberOfFiles": 1945, "fileFormat": "Files are provided in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12166/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4715/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84645/?format=api" ], "dataLineage": "This dataset was produced by University of Southampton in the context of the Earth Observation Climate Information Service (EOCIS) project (grant number NE/X019071/1).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13456/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206416/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44593/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43384, "uuid": "edf8abd23f4a40aabd4d52e48dec06ea", "title": "ESA Snow Climate Change Initiative (Snow_cci): Snow Water Equivalent (SWE) level 3C daily global climate research data package (CRDP) (1979 - 2023), version 4.0", "abstract": "This dataset contains v4.0 of the Daily Snow Water Equivalent (SWE) product from the ESA Climate Change Initiative (CCI) Snow project, at 0.1 degree resolution.\r\n\r\nSnow water equivalent (SWE) is the depth of liquid water that would result if the of snow cover melted completely, which equates to the snow cover mass per unit area. The SWE product covers the Northern Hemisphere from 1979/01 to 2023/12 with complex terrain, land ice, and large lakes masked. The dataset covers the Northern Hemisphere winter season (October – May; occasional data produced during June and September) at a daily frequency starting in October 1987 and every second day from 1979 to May 1987. Retrievals are not produced for coastal regions of Greenland.\r\n\r\nThe product combines passive microwave data with ground-based snow depth measurements, via Bayesian non-linear iterative assimilation, to estimate SWE. It is based on data from the recalibrated enhanced resolution CETB ESDR dataset (MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) https://nsidc.org/pmesdr/data/) resampled to the 12.5km EASE-Grid 2.0.\r\n\r\nA background snow-depth field, derived from re-gridded snow-depth observations made at synoptic weather stations, and a passive microwave emission model are the key components of the retrieval scheme. Snow density, which varies in both time and space, is parameterized from interpolated in situ observations from snow courses and snow pillows equipped with co-located snow depth sensors.\r\nThe dataset is aimed to serve the needs of users working on climate research and monitoring activities, including the detection of variability and trends, climate modelling, and aspects of hydrology and meteorology.\r\n\r\nThe Finnish Meteorological Institute (FMI) is responsible for the SWE product generation. The SWE development is carried out in collaboration by FMI and Environment and Climate Change Canada (ECCC).\r\n\r\nChanges from v3.1 \r\n\r\nThe time series has been extended from version 3.1 by one year, to 2023. The retrieval algorithm has been modified to prioritize morning overpass (descending) data over evening (ascending) data. This change affects the SWE retrieval for all years except 1988–1991. Data from those years is from the F08 satellite, which has a reversed orbit, and evening (descending) data is prioritized, as in earlier versions of the SWE retrieval. Snow masking in post-production now uses CryoClim SCE data for 35–40° latitude and −30–3° longitude. Elsewhere, the baseline snow mask and CryoClim are combined so that any pixel flagged by either is marked snow-covered, as in v3.1. The pixel-wise uncertainty model has been updated for North America using extensive snow course data.", "keywords": "ESA, CCI, Snow, SWE", "publicationState": "citable", "dataPublishedTime": "2025-09-04T16:10:21", "doiPublishedTime": "2025-09-05T14:42:57", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44833/?format=api", "dataPath": "/neodc/esacci/snow/data/swe/MERGED/v4.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14570784856, "numberOfFiles": 9576, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12652/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73929/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) as part of the CCI Knowledge Exchange project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13525/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206443/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44837/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43385, "uuid": "3c71c04cf08a410fac2c680cbf88cfd7", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable (SCFV) from AVHRR (1979 - 2023), version 4.0", "abstract": "This dataset contains Daily Snow Cover Fraction of viewable snow from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction viewable (SCFV) indicates the area of snow viewable from space over land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel. \r\n\r\nThe global SCFV product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.\r\n\r\nThe SCFV time series provides daily products for the period 1979-2023. \r\n\r\nThe product V4.0 is based on EUMETSAT Fundamental Data Record (FDR) medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the CLARA-A3 cloud product. \r\n\r\nThe retrieval method of the snow_cci SCFV product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre- and post-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied. Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. \r\n\r\nThe following auxiliary data set is used for product generation: ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map. RMSE is retrieved from a statistical model and added as pixel-wise information.\r\n\r\nThe SCFV product is aimed to serve the needs for users working in the cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology and biology.\r\n\r\nThe Remote Sensing Research Group of the University of Bern, in cooperation with Gamma Remote Sensing is responsible for the SCFV product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation. \r\n\r\nThe SCFV AVHRR product comprises a few data gaps in 1979 – 1986 (1979: 22.-24.Feb.; 01.-07.Oct.; 03.-04.Nov.; 07.Nov.; 17.-18.Nov.; 1980: 22.-27.Feb.; 01.March; 03.March; 15.-20.March; 30.March – 02.April; 26.-29.June; 12.-19.July; 12.-18.Dec.; 1981: 09.-11.May; 01.-03.Aug.; 14.-23.Aug.; 1982: 28.- 31.May; 25.-26. Oct.; 1983: 27.- 31. July; 01.- 02. and 06. Aug.; 1984: 14.-15.Jan.; 06. Dec.; 1985: 01.- 24.Feb; 1986: 15. March), resulting in a 99% data coverage over the entire study period of 43 years.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2025-09-04T13:52:47", "doiPublishedTime": "2025-09-04T14:15:41", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44832/?format=api", "dataPath": "/neodc/esacci/snow/data/scfv/AVHRR_SINGLE/v4.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 572377314010, "numberOfFiles": 37064, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12642/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74107/?format=api" ], "dataLineage": "The snow_cci SCFV product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017). \r\n\r\nThe final product is quality checked.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13524/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206459/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44840/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43386, "uuid": "80d96e3a14854420b6f742d70877c431", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from AVHRR (1979 - 2023), version 4.0", "abstract": "This dataset contains Daily Snow Cover Fraction (snow on ground) from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction on ground (SCFG) indicates the area of snow observed from space over land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel. \r\n\r\nThe global SCFG product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.\r\n\r\nThe SCFG time series provides daily products for the period 1979-2023.\r\n \r\nThe product V4.0 is based on EUMETSAT Fundamental Data Record (FDR) medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the CLARA-A3 cloud product. \r\n\r\nThe retrieval method of the snow_cci SCFG product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied using dynamic reference reflectance values (snow, forest, ground) temporally and spatially adapted to consider angle dependencies (sun, view). Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. \r\n\r\nThe following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground. RMSE is retrieved from a statistical model and added as pixel-wise information. \r\n\r\nThe SCFG product is aimed to serve the needs of users working in cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Remote Sensing Research Group of the University of Bern, in cooperation with Gamma Remote Sensing is responsible for the SCFG product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThe SCFG AVHRR product comprises a few data gaps in 1979 – 1986 (1979: 22.-24.Feb.; 01.-07.Oct.; 03.-04.Nov.; 07.Nov.; 17.-18.Nov.; 1980: 22.-27.Feb.; 01.March; 03.March; 15.-20.March; 30.March – 02.April; 26.-29.June; 12.-19.July; 12.-18.Dec.; 1981: 09.-11.May; 01.-03.Aug.; 14.-23.Aug.; 1982: 28.- 31.May; 25.-26. Oct.; 1983: 27.- 31. July; 01.- 02. and 06. Aug.; 1984: 14.-15.Jan.; 06. Dec.; 1985: 01.- 24.Feb; 1986: 15. March), resulting in a 99% data coverage over the entire study period of 43 years.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2025-09-04T13:52:39", "doiPublishedTime": "2025-09-04T14:11:03", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44831/?format=api", "dataPath": "/neodc/esacci/snow/data/scfg/AVHRR_SINGLE/v4.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 569223567835, "numberOfFiles": 37064, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12643/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74107/?format=api" ], "dataLineage": "The snow_cci SCFG product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017). \r\nThe final product is quality checked.\r\n\r\nData 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://api.catalogue.ceda.ac.uk/api/v2/identifiers/13523/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206475/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44840/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43387, "uuid": "bc13bb02a958449aac139853c4638f32", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable snow (SCFV) from MODIS (2000 - 2023), version 4.0", "abstract": "This dataset provides daily Snow Cover Fraction Viewable from above (SCFV) derived from Terra MODIS observations, produced within the ESA Climate Change Initiative Snow project.\r\n\r\nSCFV expresses the proportion of land area within each about 1 km x 1 km pixel that is covered by snow. SCFV represents snow viewable from above, whether on the forest canopy or on the ground in clear-cut or non-forested areas. The SCFV is given in percentage (%) per pixel.\r\n\r\nThis SCFV product is available at about 1 km pixel size for global land areas except the Antarctica and Greenland ice sheets and permanent snow and ice areas. The coastal zones of Greenland are included. The SCFV time series spans 24 February 2000 to 31 December 2023.\r\n\r\nThis SCFV product is based on Moderate resolution Imaging Spectroradiometer (MODIS) data on-board the Terra satellite. For the SCFV product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm (SCDA) (Metsämäki et al., 2015). For all remaining pixels, the snow_cci SCFV retrieval method is applied, using spectral bands centred at about 0.55 µm and 1.6 µm, and an emissive band centred at about 11 µm. The snow_cci snow cover mapping algorithm is a two-step approach that first identifies pixels which are assessed as snow free, followed by SCFV retrieval for remaining pixels. \r\nPermanent snow/ice and water bodies are masked using the Land Cover CCI 2000 dataset, supplemented by a manually mapped salt-lake mask. Per-pixel uncertainty is provided in the ancillary variable as an unbiased Root Mean Square Error (RMSE) for all observed land pixels.\r\n\r\nCompared with SCFV CRDP v3.0 (https://catalogue.ceda.ac.uk/uuid/e955813b0e1a4eb7af971f923010b4a3/) the SCFV CRDP v4.0 includes the following improvements: \r\n•\tmore permissive pre-classification allowing more pixels to enter the SCFV retrieval; \r\n•\tcorrection function applied to spectral reflectance for improved SCFV retrieval at low solar illumination conditions;\r\n•\tupdated spectral reflectance layers for snow free ground and snow free forest to improve SCFV retrieval;\r\n•\tupdated uncertainty estimation to account for the changes in the SCFV retrieval;\r\n•\timproved merging method for generating daily global SCFV products;\r\n•\tupdated salt lake mask;\r\n•\textended time series, to December 2023.\r\n\r\nThere are several days with no MODIS acquisitions in the years 2000, 2001, 2002, 2003, 2008, 2016 and 2022. In addition, on multiple days between 2000 and 2006 and in 2023, as well as on single days in 2012, 2015 and 2016, 2018, and 2020, the available MODIS data exhibit either limited spatial coverage, or corruption during data download. SCFV products are provided for all of these days, but they contain data gaps.\r\n\r\nThe SCFV product is aimed to support cryosphere and climate research applications, including variability and trend analyses, climate modelling and studies in hydrology, meteorology, and ecology.\r\nENVEO leads the SCFV product development and product generation from MODIS data, with contributions on the product development from Syke.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2025-12-03T17:12:36", "doiPublishedTime": "2025-12-03T17:24:38", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45113/?format=api", "dataPath": "/neodc/esacci/snow/data/scfv/MODIS/v4.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 876520536031, "numberOfFiles": 8644, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12833/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74107/?format=api" ], "dataLineage": "The snow_cci SCFV products from MODIS are based on the MODIS/Terra Calibrated Radiances 5-Min L1B Swath 1km (MOD021KM) and the MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km (MOD03) Collection 6.1 data sets, provided by NASA.\r\nThe snow_cci SCF processing chain for MODIS includes the masking of clouds, the pre-classification of largely snow free areas, and the classification of snow cover fraction per pixel for all remaining observed pixels. Permanent snow and ice areas as well as water bodies are masked in the SCFV products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. Salt lakes are masked based on a manual delineation of such areas from Terra MODIS data. \r\nSCFV products from individual tiles are merged into daily global SCFV products.\r\nAll SCFV products are prepared according to the CCI data standards.\r\nAn automated and a manual quality check was performed on the full time series.\r\nWe acknowledge Norsk Regnesentral (Norwegian Computing Center, NR) for downloading the MODIS data from NASA, and UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education) for providing the processing infrastructure for the CRDP generation from MODIS.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13661/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206488/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/45111/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43388, "uuid": "375ffdb8f0a445e380b4b9548655f5f9", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from MODIS (2000-2023), version 4.0", "abstract": "This dataset provides daily Snow Cover Fraction on Ground (SCFG) derived from Terra MODIS observations, produced within the ESA Climate Change Initiative Snow project.\r\n\r\nSCFG expresses the proportion of land area within each about 1 km x 1 km pixel that is covered by snow. In forested areas, the masking effect of the forest canopy is corrected to estimate the SCFG. The SCFG is given in percentage (%) per pixel.\r\n\r\nThe SCFG product is available at about 1 km pixel size for global land areas except the Antarctica and Greenland ice sheets and permanent snow and ice areas. The coastal zones of Greenland are included. The SCFG time series spans 24 February 2000 to 31 December 2023.\r\n\r\nThe SCFG product is based on Moderate resolution Imaging Spectroradiometer (MODIS) data on-board the Terra satellite. For the SCFG product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm (SCDA) (Metsämäki et al., 2015). For all remaining pixels, the snow_cci SCFG retrieval method is applied, using spectral bands centred at about 0.55 µm and 1.6 µm, and an emissive band centred at about 11 µm. The snow_cci snow cover mapping algorithm is a two-step approach that first identifies pixels which are assessed as snow free, followed by SCFG retrieval for remaining pixels. \r\nPermanent snow/ice and water bodies are masked using the Land Cover CCI 2000 dataset, supplemented by a manually mapped salt-lake mask. Per-pixel uncertainty is provided in the ancillary variable as an unbiased Root Mean Square Error (RMSE) for all observed land pixels.\r\n\r\nCompared with SCFG CRDP v3.0 (https://catalogue.ceda.ac.uk/uuid/80567d38de3f4b038ee6e6e53ed1af8a/) the SCFG CRDP v4.0 includes the following improvements: \r\n•\tmore permissive pre-classification allowing more pixels to enter the SCFG retrieval; \r\n•\tcorrection function applied to spectral reflectance for improved SCFG retrieval at low solar illumination conditions;\r\n•\tupdated spectral reflectance layers for snow free ground and snow free forest to improve SCFG retrieval;\r\n•\tupdated uncertainty estimation to account for the changes in the SCFG retrieval;\r\n•\timproved merging method for generating daily global SCFG products;\r\n•\tupdated salt lake mask;\r\n•\textended time series, to December 2023.\r\n\r\nThere are several days with no MODIS acquisitions in the years 2000, 2001, 2002, 2003, 2008, 2016 and 2022. In addition, on multiple days between 2000 and 2006 and in 2023, as well as on single days in 2012, 2015 and 2016, 2018, and 2020, the available MODIS data exhibit either limited spatial coverage, or corruption during data download. SCFG products are provided for all of these days, but they contain data gaps.\r\n\r\nThe SCFG product is aimed to support cryosphere and climate research applications, including variability and trend analyses, climate modelling and studies in hydrology, meteorology, and ecology.\r\nENVEO leads the SCFG product development and product generation from MODIS data, with contributions on the product development from Syke.", "keywords": "ESA, CCI, Snow, Snow Cover Fraction", "publicationState": "citable", "dataPublishedTime": "2025-12-03T17:20:59", "doiPublishedTime": "2025-12-03T17:24:16", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45112/?format=api", "dataPath": "/neodc/esacci/snow/data/scfg/MODIS/v4.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 879557188025, "numberOfFiles": 8644, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12815/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2614/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74107/?format=api" ], "dataLineage": "The snow_cci SCFG products from MODIS are based on the MODIS/Terra Calibrated Radiances 5-Min L1B Swath 1km (MOD021KM) and the MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km (MOD03) Collection 6.1 data sets, provided by NASA.\r\nThe snow_cci SCF processing chain for MODIS includes the masking of clouds, the pre-classification of largely snow free areas, and the classification of snow cover fraction per pixel for all remaining observed pixels. Permanent snow and ice areas as well as water bodies are masked in the SCFG products using the corresponding classes from the Land Cover CCI map of the year 2000 as auxiliary layers. Salt lakes are masked based on a manual delineation of such areas from Terra MODIS data. \r\nSCFG products from individual tiles are merged into daily global SCFG products.\r\nAll SCFG products are prepared according to the CCI data standards.\r\nAn automated and a manual quality check was performed on the full time series.\r\nWe acknowledge Norsk Regnesentral (Norwegian Computing Center, NR) for downloading the MODIS data from NASA, and UNINETT Sigma2 AS (Sigma2, The Norwegian e-infrastructure for Research & Education) for providing the processing infrastructure for the CRDP generation from MODIS.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13660/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206502/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/45110/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2571/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43389, "uuid": "2bb4d76ed2fa4fc2af3fbbca6eb80965", "title": "Global NWP meteorological data for Met Office NAME dispersion model (Mk9: July 2015 - 2017)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) global meteorological data produced by the Met Office Unified Model. The files in the dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at 3-hourly resolution. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, Mk9, Numerical Weather Prediction, UM", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43390/?format=api", "dataPath": "/badc/name_nwp/data/global/UMG_Mk9/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4824673004321, "numberOfFiles": 151527, "fileFormat": "Packed PP format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11648/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4388/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79782/?format=api" ], "dataLineage": "The underlying NWP data is produced by the operational global configuration of the Met Office's Unified Model. The fields are then processed into PP format for use in NAME. Both of these tasks run as part of the Met Office's Operational Suite. The files are then archived into the Met Office's storage system, MASS. 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Please do contact the authors if you plan to use this data for publications.", "keywords": "isoprene,DMS,VOCs,dimethyl sulfide,Faroes,SEANA", "publicationState": "citable", "dataPublishedTime": "2025-03-11T12:55:44", "doiPublishedTime": "2025-04-07T08:59:23.764701", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43462/?format=api", "dataPath": "/badc/deposited2025/SEANA/seana_faroes_voc_2020/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 567131, "numberOfFiles": 3, "fileFormat": "data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12036/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4676/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80068/?format=api" ], "dataLineage": "Raw chromatogram from the iDirac were converted into concentrations as described in Bolas et al., AMT, 2020. 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Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates\r\n.\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. 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Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. \r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. 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Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-02.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-12/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.", "keywords": "ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Terrestrial LiDAR Scanning (TLS), Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Above Ground Biomass (AGB) estimates, Carbon estimates, Forest structure, Tree segmentation, 3D tree structure, Field protocols", "publicationState": "citable", "dataPublishedTime": "2025-03-27T15:36:48", "doiPublishedTime": "2025-03-28T16:54:08.227879", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43409/?format=api", "dataPath": "/neodc/forestscan/data/malaysia/SEP-12/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 793422011307, "numberOfFiles": 403054, "fileFormat": "Terrestrial LiDAR scanner data in csv, point cloud and Riegl Proprietary raw data format. Details of formats and data structure can be found in the archived document /neodc/forestscan/data/malaysia/SEP-12/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets. Further explanation of the files and their origin can also be found in the process computation section." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12018/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2376/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Professor Mat Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. 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Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2). \r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-20.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-30/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.", "keywords": "Keywords ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Terrestrial LiDAR Scanning (TLS), Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Above Ground Biomass (AGB) estimates, Carbon estimates, Forest structure, Tree segmentation, 3D tree structure, Field protocols", "publicationState": "citable", "dataPublishedTime": "2025-03-27T15:42:37", "doiPublishedTime": "2025-03-28T16:52:56.552594", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43411/?format=api", "dataPath": "/neodc/forestscan/data/malaysia/SEP-30/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 913343172832, "numberOfFiles": 1063004, "fileFormat": "Terrestrial LiDAR scanner data in csv, point cloud and Riegl Proprietary raw data format. Details of formats and data structure can be found in the archived document /neodc/forestscan/data/malaysia/SEP-30/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets. Further explanation of the files and their origin can also be found in the process computation section." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12019/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2377/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Professor Mat Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines.\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13277/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/40337/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208724/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43406/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43415, "uuid": "7637a16b099544c2b761175e1de02894", "title": "UKESM1 simulations in support of the CS-N0W programme", "abstract": "The UK Earth System Model (UKESM1) has been used to produce two simulations for the Climate Services for a Net Zero Resilient World (CS-N0W) research programme. The first simulation (\"no overshoot\" or NO) was designed to fix global-mean annual-mean surface temperature to 1.5C above pre-Industrial levels from 2010-2100, and the second simulation (\"very high overshoot\" or VHO) was a scenario where global-mean annual-mean surface temperature was allowed to rise above 1.5C during the century but return to 1.5C by 2100. Four ensemble members were run for each scenario.\r\n\r\nThese are based on the UKESM1-0-LL model. Forcings followed the SSP2-4.5 Shared Socio-economic Pathway, except for chemistry and aerosol emissions which followed SSP1-1.9. CO2 and N2O concentrations were calculated used the TIMES Integrated Assessment Model at University College London (TIAM-UCL) model, which was also used to calculated CH4 for the NO simulation. CH4 in the VHO simuation used SSP1-1.9.", "keywords": "UKESM,overshoot,Monsoon2,JASMIN,CS-N0W", "publicationState": "published", "dataPublishedTime": "2025-02-24T16:15:53", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43482/?format=api", "dataPath": "/badc/desnz-cs-now/data/UKESM-simulation-cs-n0w/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 238942143576, "numberOfFiles": 83856, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12023/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4671/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74918/?format=api" ], "dataLineage": "The TIAM-UCL model was used to calculate CO2, CH4, and N2O concentrations for the NO and VHO simulations. These were implemented within UKESM and then simulations were performed on Monsoon2, a collaborative High-Performance Computing facility funded by the Met Office and the Natural Environment Research Council. Data was archived to the Met Office MASS archiving system, and processed on JASMIN, the UK collaborative data analysis facility. Simulations were branched from UKESM1-0-LL r1i1p1f2, r3i1p1f2, r11i1p1f2, and r18i1p1f2 historical ensemble members in 2010. 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This dataset contains SST data of the east Atlantic, Indian Ocean, west Pacific and Australia measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2024 and 28 April 2024.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products.", "keywords": "SLSTR,Validation,RMS Queen Mary 2,SST", "publicationState": "citable", "dataPublishedTime": "2026-01-26T17:05:49", "doiPublishedTime": "2026-02-19T09:06:36.456160", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44502/?format=api", "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise27/fv2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 748727327, "numberOfFiles": 194, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12129/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4970/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80302/?format=api" ], "dataLineage": "Measurements taken on the QM2 and processed with SISTeR processor version 2.5.1 to levels 2R and 3R as specified by the GHRSST recommended format.\r\n\r\nShip time and services were provided by Cunard Line.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13731/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44841/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44842/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206744/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44503/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43432, "uuid": "8234e536542141259e0ec632d45df496", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 28, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the north Atlantic and the North Sea measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 16 May 2024 and 30 August 2024.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products.", "keywords": "SLSTR,Validation,RMS Queen Mary 2,SST", "publicationState": "citable", "dataPublishedTime": "2026-01-26T17:07:07", "doiPublishedTime": "2026-02-19T09:06:15.782990", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44501/?format=api", "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise28/fv2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 775278867, "numberOfFiles": 202, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12125/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4971/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80302/?format=api" ], "dataLineage": "Measurements taken on the QM2 and processed with SISTeR processor version 2.5.1 to levels 2R and 3R as specified by the GHRSST recommended format.\r\n\r\nShip time and services were provided by Cunard Line.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13730/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44841/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44842/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206752/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44504/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43433, "uuid": "381e95004e0c44499b1d3e00b19aaaaf", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 29, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the North Sea, the north Atlantic and the Caribbean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 17 October 2024 and 11 January 2025.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products.", "keywords": "SLSTR,Validation,RMS Queen Mary 2,SST", "publicationState": "citable", "dataPublishedTime": "2026-01-26T17:06:45", "doiPublishedTime": "2026-02-19T09:05:47.888744", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44500/?format=api", "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise29/fv2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 644108051, "numberOfFiles": 168, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12124/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4972/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80302/?format=api" ], "dataLineage": "Measurements taken on the QM2 and processed with SISTeR processor version 2.5.1 to levels 2R and 3R as specified by the GHRSST recommended format.\r\n\r\nShip time and services were provided by Cunard Line.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13729/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44841/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44842/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206760/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44505/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43434, "uuid": "98692ec457ee431cacc4027820e46411", "title": "Aboveground carbon (AGC) drone imagery and field data for Kaboi Lake 2021", "abstract": "Drone imagery and field data for aboveground carbon (AGC) measurements at Kaboi Lake, Sabah, Malaysia. \r\nData consist of 597 jpeg files of a small forest stand collected by a drone and one csv for field measurements of 24 tree heights. \r\nDrone imagery covering the 2 ha site was collected in March 2021, with field data collected concurrently. \r\nThe drone used was a DJI Phantom 4 Pro V2.0 quadcopter equipped with a 20 megapixel optical camera. \r\nThe data were used to compare drone- and field-based measurements of AGC over small sites, and to inform best practices for calculating baseline AGC for small-scale, community-based forest restoration projects. \r\nData were collected by members of Cardiff University and the Danau Girang Field Centre. Data interpretation by B Newport, University of Bristol.", "keywords": "Drone,Carbon,Structure-from-Motion,Aboveground carbon,Forest", "publicationState": "citable", "dataPublishedTime": "2025-02-11T18:33:05", "doiPublishedTime": "2025-02-11T18:33:33.463875", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43465/?format=api", "dataPath": "/badc/deposited2025/Kaboi_Lake_drone_imagery/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4611244664, "numberOfFiles": 599, "fileFormat": "BADC-CSV and JPEG format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12031/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4688/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Drone imagery collected using a DJI Phantom 4 Pro V2.0 quadcopter on 22nd March 2021. Field measurements collected concurrently. csv created by B Newport.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13239/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43463/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206933/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43436/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43437, "uuid": "ee70a9639a364aea845ef3b84ffa8be2", "title": "CCMI-2022: senD2-fix data produced by the MIROC-ES2H model from MIROC", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-fix produced by the MIROC-ES2H model which is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate). This has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan).\r\n\r\nIt used a baseline (SSP2-45) with a modified specified stratospheric aerosol distribution using a repeated annual cycle of the WACCM-calculated Surface Area Density (SAD) for 2025 (the WACCM background before stratospheric aerosol injection was initiated) and with specified SSTs/sea-ice as in senD2-sai.\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30", "keywords": "CCMI-2022, senD2-fix, refD2, SSP245, Hindcast, Scenario, MIROC-ES2H, MIROC, JAMSTEC, AORI, NIES, R-CCS, APARC", "publicationState": "published", "dataPublishedTime": "2025-01-30T11:58:55", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43438/?format=api", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/MIROC/MIROC-ES2H/senD2-fix/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 117918740701, "numberOfFiles": 2620, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11211/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ 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repeated annual cycle of the WACCM-calculated Surface Area Density (SAD) for 2025 (the WACCM background before stratospheric aerosol injection was initiated) and with specified SSTs/sea-ice as in senD2-sai.\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project – Report No. 58, 588 pp., Geneva, Switzerland, 2018.\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30", "keywords": "CCMI-2022, senD2-fix, WMO-2018, Hindcast, Scenario, CCSR-NIES MIROC3.2, NIES, APARC", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43440/?format=api", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NIES/CCSRNIES-MIROC32/senD2-fix/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10317/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32805/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206790/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39225/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2544/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ccmi-2022", "label": "restricted: ccmi-2022 group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43442, "uuid": "c8fc3efdd6264b42ac84749b88219d95", "title": "Benthic images collected over different terrain features by Autonomous Underwater Vehicle during expedition JC257, 30 km south from the northern border of the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024", "abstract": "A collection of 2061 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4100 m depth) of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. During mission AS5M097, the AUV was programmed to replicate 21 parallel 1 km long transect lines in a site located 30 km South from the northern border of the UK-1 exploration area. The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected vertically orientated still images at a target altitude of 3 m above the seabed, with one image being captured per second. Terrain features exhibiting different slope were delimited and images within each feature were randomly subsampled. These images were colour corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The final image set was inspected for overlap, which was non-existent. The image set was subsequently annotated using the online platform BIIGLE to derive ecological understanding on the influence of seabed topography on seabed community composition. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2025-01-31T10:57:13", "doiPublishedTime": "2025-01-31T14:28:49", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43441/?format=api", "dataPath": "/bodc/deposits01/soc240713", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11321165883, "numberOfFiles": 2063, "fileFormat": "JPG" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12034/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4674/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. 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It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Un-CMORized ocean variables are provided as a separate dataset linked to this dataset in native CESM2 format. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2026-02-09T16:46:50", "doiPublishedTime": "2026-02-20T10:24:03.458895", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44021/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1463126573338, "numberOfFiles": 761, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12043/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4678/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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