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=6400
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The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0, ssp585, 6hrLev, 6hrPlevPt, Amon, CFmon, LImon, Lmon, day, fx", "publicationState": "published", "dataPublishedTime": "2019-11-09T01:38:38.539706", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29799/?format=api", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/MRI/MRI-ESM2-0/ssp585", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7631189213727, 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28098/?format=api" ], "dataLineage": "Data were produced and verified by Meteorological Research Institute of the Korea Meteorological Administration (MRI) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/28583/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/28586/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166820/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/29800/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29801, "uuid": "def9bf87c5f547229dbdd6056454193a", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, ssp126, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day, fx", "publicationState": "published", "dataPublishedTime": "2019-11-09T01:38:59.853123", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29802/?format=api", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/NCAR/CESM2/ssp126", "oldDataPath": [], "storageLocation": "internal", "storageStatus": 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1138, "name": "NDGO0003" } ] }, { "ob_id": 29929, "uuid": "20babc8f4dc449eaac11f47708e9f721", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.5", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created. \r\n\r\nThe v04.5 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2018-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI, Active", "publicationState": "published", "dataPublishedTime": "2019-12-19T18:06:17", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29930/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v04.5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7934506678, "numberOfFiles": 10012, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8138/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.5285/38b8e5e524e1449ab4b4994970752644)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29937/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129313/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/27120/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29931, "uuid": "34090d316d514b55b7080a4181a28f8f", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.5", "abstract": "The Soil Moisture CCI COMBINED dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.5 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI, COMBINED", "publicationState": "published", "dataPublishedTime": "2019-12-19T18:12:13", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29932/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14622061193, "numberOfFiles": 14672, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8140/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.5285/38b8e5e524e1449ab4b4994970752644)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29937/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129332/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/27141/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29933, "uuid": "4b344dac208f4a82a35d544f6837d111", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.5", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.5 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, CCI, PASSIVE", "publicationState": "published", "dataPublishedTime": "2019-12-19T18:19:14", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29934/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v04.5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11957254311, "numberOfFiles": 14672, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8154/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.5285/38b8e5e524e1449ab4b4994970752644)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29937/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129351/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/27140/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29935, "uuid": "4a29dbf40fc3445395d72927700fafe7", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.5", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.5 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI, Ancillary", "publicationState": "published", "dataPublishedTime": "2019-12-19T18:25:37", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29936/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v04.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1558808, "numberOfFiles": 6, "fileFormat": "Data are netCDF formatted." }, "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/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63536/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the Soil Moisture v04.5 dataset (doi:10.5285/38b8e5e524e1449ab4b4994970752644. http://dx.doi.org/10.5285/38b8e5e524e1449ab4b4994970752644)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29937/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129366/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29946, "uuid": "b6b6266415634a6ab242702d7ee6be05", "title": "ESM-SnowMIP meteorological and evaluation datasets at ten reference sites (in situ and bias corrected reanalysis data)", "abstract": "In situ meteorological forcing and evaluation data, and bias-corrected reanalysis forcing data for cold regions modelling at ten sites: one maritime (Sapporo, Japan), one arctic (Sodankylä, Finland), three boreal (Old Aspen, Old Jack Pine and Old Black Spruce, Saskatchewan, Canada) and five mid-latitude alpine (Col de Porte, France; Reynolds Mountain East, Idaho, USA, Senator Beck and Swamp Angel, Colorado, USA; Weissfluhjoch, Switzerland). \r\n\r\nThe long-term datasets are the reference sites chosen for evaluating models participating in the Earth System Model-Snow Model Intercomparison Project (ESM-SnowMIP). Periods covered by the in situ data span from 1994 to 2016 with the period of available data varying by location from between 7 and 20 years of hourly meteorological data, with evaluation data (snow depth, snow water equivalent, albedo, soil temperature and surface temperature) available at varying temporal intervals. \r\n\r\n30-year (1980-2010) time-series have been extracted from a global gridded surface meteorology dataset (Global Soil Wetness Project Phase 3) for the grid cells containing the reference sites, interpolated to one-hour timesteps and bias corrected.", "keywords": "Snow, Long-Term Record, Modelling, Observation", "publicationState": "published", "dataPublishedTime": "2020-04-23T16:42:19", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29947/?format=api", "dataPath": "/badc/rescues/data/ESM-SnowMIP", "oldDataPath": [], "storageLocation": "internal", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80060/?format=api" ], "dataLineage": "Data are as delivered by ReSCUES project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24878/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130381/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/29950/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the year 2017, v1", "abstract": "This dataset comprises estimates of forest above-ground biomass for the year 2017. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. \r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) for the year 2017 (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset)\r\n\r\nThis release of the data is version 1, with data provided in both netcdf and geotiff format.", "keywords": "ESA, CCI, Biomass", "publicationState": "citable", "dataPublishedTime": "2019-12-02T14:00:52", "doiPublishedTime": "2019-12-02T14:05:44", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29960/?format=api", "dataPath": "/neodc/esacci/biomass/data/agb/maps/2017/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 58203928517, "numberOfFiles": 61, "fileFormat": "Data are provided in both NetCDF and GeoTiff format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8152/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27617/?format=api" ], "dataLineage": "Data was created by the Biomass CCI team. \r\nThe data was derived from input data from the PALSAR-2 instrument on the ALOS-2 satellite, and data from the Sentinel-1 satellite. The ALOS-2 PALSAR-2 dataset was obtained from the Japanese Aerospace Exploration Agency (JAXA) in the form of a mosaic of images acquired in 2017. The Sentinel-1 dataset consisted of individual data takes by the 1A and 1B units during 2017 and provided by the European Space Agency.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10667/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29954/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129403/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129398/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/29957/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2542/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29953, "uuid": "5808b237bdb5485d9bc3595f39ce85e3", "title": "SMURPHS: Historical HadGEM3-GC3.1 scaled aerosol coupled ensemble", "abstract": "This dataset consists of 5x5 historical simulations (1850-2014) with HadGEM3-GC3.1 (Met Office Hadley Centre Global Coupled model General Circulation 3.1). This is an ensemble dataset, part of the Securing Multidisciplinary UndeRstanding and Prediction of Hiatus and Surge events (SMURPHS) project. The model version used here is a development version of the UK's submission to Coupled Model Intercomparison Project Phase 6 (CMIP6) and differs from the CMIP6 version in its treatment of prescribed ozone. This ensemble was designed to sample a range in plausible historical aerosol forcing, with the present-day aerosol effective radiative forcing ranging from -0.38 W/m2 to -1.5 W/m2, which spans a large range of the total aerosol effective radiative forcing presented in Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). \r\n\r\nThe targeted aerosol forcings were achieved by applying a constant scaling factor in space and time to the standard historical CMIP6 historical AA and precursor emissions, namely organic and black carbon (fossil and biofuel) and sulfur dioxide (SO2) emissions. All other forcing agents follow historical CMIP6 emissions. The scalings were chosen such that the targeted aerosol forcings are approximately equally spaced:\r\n- 0.2x scaling to give -0.38 W/m2\r\n- 0.4x scaling to give -0.60 W/m2\r\n- 0.7x scaling to give -0.93 W/m2\r\n- 1.0x scaling to give -1.17 W/m2\r\n- 1.5x scaling to give -1.50 W/m2. \r\n\r\nThe scalings required to reach the intended forcing values were determined from 5 10-year atmosphere-only time-slice runs for the year 2014 with pre-industrial sea-surface temperatures. Note that the 1x scaling is not strictly a ‘scaling’ but corresponds to the standard emissions. The configuration for the scaled aerosol simulations was derived from the 1x scaling simulations, therefore these are directly comparable with the only difference being the scaled aerosol emissions. Five simulations were performed for each scaling and the simulations cover the period 1850-2014. The same five initial conditions were used for each scaling sub-ensemble, and the first four correspond to the initial conditions selected for the four CMIP6 historical simulations. These were well spaced in a pre-industrial control simulation and sample different phases of internal variability in both the Pacific and Atlantic. We recommend only analysing data from 1900, as introducing the scaled aerosols in 1850 produces a small initial drift in the climate system. We estimate that most of this drift has been removed by 1900.\r\n\r\nThe reference paper for this dataset is Dittus et al., 2020. Please cite this paper when using the dataset. Dittus, A. J., Hawkins, E., Wilcox, L. J., Sutton, R. T., Smith, C. J., Andrews, M. B. and P. M. Forster, 2020: Sensitivity of historical climate simulations to uncertain aerosol forcing. 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The historical-1p0 ensemble members were run by Martin Andrews. 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This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m) for the Northern Hemisphere (north of 30°) for the period 2003-2017.", "keywords": "Permafrost, CCI, Ground Temperature", "publicationState": "citable", "dataPublishedTime": "2019-12-06T12:59:48", "doiPublishedTime": "2019-12-19T15:10:53", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29970/?format=api", "dataPath": "/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v01.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22928141833, "numberOfFiles": 16, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8147/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2567/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28261/?format=api" ], "dataLineage": "Data have been produced by the ESA CCI Permafrost project as part of ESA's Climate Change Initiative programme", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10670/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29966/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29963/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129521/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/29968/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2596/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_permafrost_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29965, "uuid": "c7590fe40d8e44169d511c70a60ccbcc", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Extent for the Northern Hemisphere, v1.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. 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It covers the Northern Hemisphere (north of 30°) for the period 2003-2017.", "keywords": "Permafrost, CCI, Permafrost Extent", "publicationState": "citable", "dataPublishedTime": "2019-12-06T12:58:54", "doiPublishedTime": "2019-12-19T14:21:44", "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29967/?format=api", "dataPath": "/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v01.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2295770868, "numberOfFiles": 16, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8147/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2568/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28270/?format=api" ], "dataLineage": "Data have been produced by the ESA CCI Permafrost project as part of ESA's Climate Change Initiative programme", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10669/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29966/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29963/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129503/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/29968/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2596/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_permafrost_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29973, "uuid": "d7bdea4715b0410788ee3fd3ce36dc0f", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Composite temperature, humidity and wind profiles and derived variables from the NCAS AMF radiosondes launched from Icebreaker Oden", "abstract": "This dataset contains composite temperature, humidity and wind profiles, plus derived products, from the National Centre for Atmospheric Science's Atmospheric Measurement Facility (NCAS AMF) radiosondes (Vaisala RS92) launched from the Swedish Icebreaker Oden from the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data consist of individual radiosonde profiles as 2D time/height fields, with all profiles interpolated onto a fixed vertical grid for ease of analysis/plotting.\r\n\r\nThe vertical grid used is: 1m step to 5km, 10m step between 5 and 12 km, 50m step between 12 and 20 km. The data also includes derived variables (potential temperature etc).\r\n\r\nHumidity was corrected on profiles where the radiosonde selected the wrong (heated) humidity sensor. For some soundings the data file processing stopped too early, due to a loss of the GPS signal. Temperature and humidity data were recovered from the buffer files. Due to the loss of the GPS signal wind data are not available beyond the heights where the normal data files processing stopped.\r\n\r\nRadiosondes operated by Michael Tjernström, John Prytherch (University of Stockholm), Peggy Achtert (Uniersity Leipzig), Ian Brooks, Grace Porter and Mike Adams (University of Leeds). Data processing performed by Jutta Vuellers (University of Leeds).\r\n\r\nThese data are part of the ACAS project, funded by the Knut and Alice Wallenberg Foundation (Project PI Michael Tjernström). The sounding system was provided as part of the UK contribution to MOCCHA (UK project PI Ian Brooks) by the UK’s National Centre for Atmospheric Science (NCAS) Atmospheric Measurement Facility (AMF). \r\nNCAS AMF should be acknowledged in any publication making use of this data.", "keywords": "MOCCHA, AMF, radiosonde, Icebreaker oden, temperature, humidity, wind", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29974/?format=api", "dataPath": "/badc/moccha/data/radiosonde/icebreaker-oden", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 130109679, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8148/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2569/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54759/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the MOCCHA project data authors before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129544/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/29976/?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": 29978, "uuid": "47c32530265d4d6e8fdb6c08b2330371", "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) L3 Half Hourly 0.1 degree x 0.1 degree v6", "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v6. The 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": "2020-01-29T10:22:24", "doiPublishedTime": null, "updateFrequency": "unknown", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29979/?format=api", "dataPath": "/badc/gpm/data/GPM-IMERG-v6/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3999921915159, "numberOfFiles": 748059, "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.06/", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26514/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29993/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168798/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/29980/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29983, "uuid": "cc93b95c264644519777aa1ab37c23c0", "title": "Iceland Greenland Seas Project (IGP): three dimensional wind profile measurements from the University of Bergen Windcube V2 pulsed Lidar on board the NATO Research Vessel Alliance", "abstract": "This dataset contains corrected observations (motion and translational movement) from a WindCube V2 Lidar (Leosphere). The instrument was mounted on the NATO Research Vessel Alliance during Iceland Greenland Seas Project (IGP) campaign in February–March 2018.\r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1).", "keywords": "IGP, windcube, lidar", "publicationState": "published", "dataPublishedTime": "2020-05-11T12:34:54", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29984/?format=api", "dataPath": "/badc/igp/data/windcube/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 42436428, "numberOfFiles": 37, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8151/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2570/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68618/?format=api" ], "dataLineage": "Data were collected, processed, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24899/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27445/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129578/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/29985/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2543/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29988, "uuid": "52cda2e0e6c04272ae15ac836c1e8493", "title": "LiCSAR interferometry products", "abstract": "This dataset contains Interferometric Synthetic Aperture Radar (InSAR) products generated by Looking inside the Continents from Space Synthetic Aperture Radar (LiCSAR) from Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). Interferograms and coherence maps have been produced automatically using the LiCSAR processor, which builds on the Gamma SAR and Interferometry software. Interferograms have been processed in overlapping “frames” defined within COMET-LiCS.\r\n\r\nThe basic products are given in the list below:\r\n\r\n• geo.cc.tif: This is the coherence image of the interferometric pair. The values vary between 0-255 in which 0 refers to the lowest coherence values and 255 indicates the highest values of coherence.\r\n\r\n• geo.diff_pha.tif: The wrapped phase image in radian. The values vary within the range of -3.14 to 3.14. These are differential phases as the topographic correction has already been applied using 1 arc-second SRTM DEM data. \r\n\r\n• geo.unw.tif: This is the unwrapped phase image in radian. The unwrapping is performed using SNAPHU. The zero values in the unwrapped file refer to the pixels which are masked out due to the low coherence. \r\n\r\nAll products are georeferenced to WGS-84 geographic coordinate system. \r\n\r\nLiCSAR products are categorised into 175 folders which correspond to the Sentinel-1 175 orbits per cycle which are the same for both Sentinel-1A and Sentinel-1B. In the next level, the frames are defined. The frames are slices that refer to the same point temporally and geographically. The name of each frame (OOOP_AAAAA_BBBBBB) consists of 3 parts: in the first part, the three digits OOO denotes the orbit number while P shows whether it is descending (D) or ascending (A). The next part i.e. AAAAA shows the geographic location of the frame. Finally, the last part BBBBBB identifies the number of bursts where the first, second and third digit pairs identify the number of bursts in the first, second and third sub-swath respectively.\r\n\r\nThe LiCSAR processing is currently generating 3 connections per epoch. This means that for each epoch there are 3 interferometric pairs generated using the next 3 chronological acquisitions.\r\n\r\nPlease also include the following acknowledgement and citations when using LiCSAR data:\r\n\r\nAcknowledgement: “LiCSAR contains modified Copernicus Sentinel data [Year of data used] analysed by the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). LiCSAR uses JASMIN, the UK’s collaborative data analysis environment (http://jasmin.ac.uk)”", "keywords": "COMET, Sentinel 1", "publicationState": "published", "dataPublishedTime": "2022-11-15T15:27:24", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29989/?format=api", "dataPath": "/neodc/comet/data/licsar_products/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 136103081011288, "numberOfFiles": 13568552, "fileFormat": "Data are supplied in Tiff format with corresponding .png image" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10748/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3669/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10621/?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/68619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68621/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129593/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/38860/?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": 29992, "uuid": "f717a8ea622f495397f4e76f777349d1", "title": "STFC RAL methane retrievals from IASI on board MetOp-A, version 2.0", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4). It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1 by the Rutherford Appleton Laboratory (RAL) IASI optimal estimation methane retrieval scheme. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nThis work was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT.\r\n\r\nData were produced by the United Kingdom Research and Innnovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).\r\n\r\nThis is version 2.0 of the dataset.", "keywords": "methane, IASI, optimal estimation, retrieval, averaging kernels, assimilation", "publicationState": "citable", "dataPublishedTime": "2020-02-25T13:35:49", "doiPublishedTime": "2020-03-10T14:06:11.939534", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82423/?format=api" ], "dataLineage": "Data produced by the Rutherford Appleton Laboratory (RAL) Remote Sensing Group (RSG) at the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC). The development of the Infrared Atmospheric Sounding Interferometer (IASI) offline thermal-IR methane retrieval was funded by the Natural Environment Research Council (NERC) through its National Centre for Earth Observation (NCEO) with additional funding from EUMETSAT.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10701/?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/14469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129614/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/14467/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29994, "uuid": "7dc67a6d16b245e3bd56fb05ecf449a1", "title": "Si-SOA: Concentration of specific ions found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of specific ions found in the PM2.5 samples resulting from the analysis by Ion Chromatography. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.", "keywords": "SI-SOA, PM2.5, ions, chromatography", "publicationState": "published", "dataPublishedTime": "2020-02-18T09:06:00", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29995/?format=api", "dataPath": "/badc/deposited2020/si-soa/data/ion_chromatography/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6501, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8156/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2572/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67367/?format=api" ], "dataLineage": "Data produced by University of Birmingham and uploaded to Centre for Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29996/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30041/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129643/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/29997/?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": 29998, "uuid": "fa20aaa2060e40cabf5fedce7a9716d0", "title": "ESA Snow Climate Change Initiative (Snow_cci): Snow Water Equivalent (SWE) level 3C daily global climate research data package (CRDP) (1979 – 2018), version 1.0", "abstract": "Snow water equivalent (SWE) indicates the amount of accumulated snow on land surfaces; in other words the amount of water contained within the snowpack. The SWE product time series covers the period from 1979 to 2018. Northern Hemisphere SWE products are available at daily temporal resolution with alpine areas masked. \r\n\r\nThe product is based on data from the Scanning Multichannel Microwave Radiometer (SMMR) operated on National Aeronautics and Space Administration’s (NASA) Nimbus-7 satellite, the Special Sensor Microwave / Imager (SSM/I) and the Special Sensor Microwave Imager / Sounder (SSMI/S) carried onboard the Defense Meteorological Satellite Program (DMSP) 5D- and F-series satellites. The satellite bands provide spatial resolutions between 15 and 69 km. The retrieval methodology combines satellite passive microwave radiometer (PMR) measurements with ground-based synoptic weather station observations by Bayesian non-linear iterative assimilation. A background snow-depth field from re-gridded surface snow-depth observations and a passive microwave emission model are required components of the retrieval scheme.\r\n\r\nThe dataset was 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 development and generation. For the period from 1979 to May 1987, the products are available every second day. From October 1987 till May 2018, the products are available daily. Products are only generated for the Northern Hemisphere winter seasons, usually from beginning of October till the middle of May. A limited number of SWE products are available for days in June and September; products are not available for the months July and August as there is usually no snow information reported on synoptic weather stations, which is required as input for the SWE retrieval. Because of known limitations in alpine terrain, a complex-terrain mask is applied based on the sub-grid variability in elevation determined from a high-resolution digital elevation model. All land ice and large lakes are also masked; retrievals are not produced for coastal regions of Greenland.", "keywords": "ESA, CCI, Snow, SWE", "publicationState": "citable", "dataPublishedTime": "2020-04-20T11:19:31", "doiPublishedTime": "2020-04-20T13:30:10", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30228/?format=api", "dataPath": "/neodc/esacci/snow/data/swe/MERGED/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2765197518, "numberOfFiles": 7398, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8223/?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/1050/?format=api", "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/28682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28686/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10712/?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/130642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130639/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30230/?format=api", "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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 29999, "uuid": "fa5f38faa9304e7996aed11522cde99b", "title": "TOMCAT CTM Global Ozone Simulations", "abstract": "Global 3-D simulations of tropospheric ozone, using the TOMCAT chemical transport model, were undertaken as part of the NERC - National Centre for Earth Observation (NCEO) long-term science activities. The work investigated long-term trends in air pollutants and fire emissions observed/derived from space over the North-eastern Amazon region and used the TOMCAT CTM to interpret the impact on surface-level ozone concentrations, given the limited observational Spatio-temporal coverage. The model setup is based on that of Monks et al., (2017), but uses annually varying emissions as discussed in Pope et al., (2019).. The ozone data is provided as 6-hourly 3-D fields on the (approximately) 2.8 degree horizontal model grid. Atmospheric pressure is also included to provide vertical information on the ozone distribution up to 10 hPa. The high temporal output of the model is to allow for the accurate comparison of model simulations with satellite observations of atmospheric composition. While the runs by Pope et al., (2019) cover 2005 to 2016, only 2010 has been uploaded so far. The ozone data has units of volume mixing ratio (dimensionless), pressure data is in Pa. Lon, lat, time and vertical information is also included.", "keywords": "TOMCAT", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": null, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2575/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205003/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30000, "uuid": "e488dccd09e1446d90978b75036475e2", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2019, v3.1.0.2019f", "abstract": "This is version 3.1.0.2019f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v3.0.0.2018f to include 2019 and so spans 1931-2019.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20200101_v3-1-0-2019f.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. 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These are expert products with rich content and no data loss. \r\n\r\nThis first version of the Sea State CCI products is inherited from the GlobWave project building on experience and existing outputs. It extends and improves the GlobWave products which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). 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merged multi-mission along-track significant wave height, L3 product, version 1.1", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global daily merged multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 3 (L3) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.1 edited Remote Sensing Significant Wave Height product, along-track at approximately 6 km spatial resolution, which have been generated from upstream Sea State CCI L2P products, edited and merged into daily products, retaining only valid and good quality measurements from all altimeters over one day, with simplified content (only a few key parameters). This is close to what is delivered in Near-Real Time by the CMEMS (Copernicus - Marine Environment Monitoring Service) project. \r\n\r\nThis first version of Sea State CCI products is inherited from the GlobWave project building on experience and existing outputs. It extends and improves the GlobWave products which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band).", "keywords": "Sea State, CCI, Significant Wave Height", "publicationState": "citable", "dataPublishedTime": "2020-01-30T16:51:32", "doiPublishedTime": "2020-01-30T17:43:00", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30005/?format=api", "dataPath": "/neodc/esacci/sea_state/data/v1.1_release/l3/v1.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 118969935902, "numberOfFiles": 9990, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8160/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2577/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28329/?format=api" ], "dataLineage": "Data was produced by the ESA Sea State CCI team at Ifremer and was transferred to CEDA as part of the ESA CCI Open Data Portal project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10694/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30004/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30025/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129672/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2604/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sea_state_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [] }, { "ob_id": 30013, "uuid": "47140d618dcc40309e1edbca7e773478", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing merged multi-mission monthly gridded significant wave height, L4 product, version 1.1", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global merged multi-sensor time-series of monthly gridded satellite altimeter significant wave height (referred to as Level 4 (L4) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.1 Remote Sensing Sea Surface Height product, gridded over a global regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all available altimeters on a monthly basis (using the L2P products also available). These L4 products are meant for statistics and visualization.\r\n\r\nThis first version of the Sea State CCI products is inherited from the GlobWave project, building on experience and existing outputs. It extends and improves the GlobWave products ,which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition, which was used as input to these monthly statistical fields.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band).", "keywords": "Sea State, CCI, Significant Wave Height", "publicationState": "citable", "dataPublishedTime": "2020-01-30T16:47:40", "doiPublishedTime": "2020-01-30T17:35:20", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30012/?format=api", "dataPath": "/neodc/esacci/sea_state/data/v1.1_release/l4/v1.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 517839020, "numberOfFiles": 330, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8161/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2578/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28361/?format=api" ], "dataLineage": "Data was produced by the ESA Sea State CCI team at Ifremer and was transferred to CEDA as part of the ESA CCI Open Data Portal project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10693/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30004/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30025/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129681/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2604/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sea_state_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [] }, { "ob_id": 30026, "uuid": "14a35bf86fe54fc5ae78903691495c52", "title": "VolcanEESM: Global volcanic sulphur dioxide (SO2) emissions database from 1850 to present - Version 2.0", "abstract": "This dataset is associated with the VolcanEESM project led by the project team at the University of Leeds. The project was funded by NCAR/UCAR Atmospheric Chemistry and Modeling Visiting Scientist Program, NCAS, University of Leeds. \r\n\r\nThe global volcanic sulphur dioxide (SO2) emissions database is a combination of available information from the wider literature with as many observations of the amount and location of SO2 emitted by each volcanic eruption as possible. The database includes no information about the size, mass, distribution or optical depth of resulting aerosol. As such the database is model agnostic and it is up to each modeling group to make decisions about how to implement the emission file in their prognostic stratospheric aerosol scheme. \r\n\r\nThe dataset is divided into two parts based on the availability of satellite data. For the pre-satellite era, the necessary information about the emissions was gathered from the latest ice core records of sulphate deposition in combination historical accounts available in the wider literature (see references included in the database for specific citation for each record). In the satellite era, volcanic emissions were primarily derived from remotely sensed observations. \r\n\r\nFor the period 1850 CE to 1979 the dataset combined the most recent volcanic sulfate deposition datasets from ice cores with volcanological and, where applicable, petrological estimates of the SO2 mass emitted as well as historical records of large-magnitude volcanic eruptions. In detail, for the majority of eruptions between 1850 CE to 1979 , there are few direct measurement of SO2 emissions or quantitative observations of the plume height and very few measurements of the aerosol optical depth (AOD). \r\n\r\nParameters in the database include: \r\nDay_of_Emission: The 24 hour period in which the emission is thought to have occurred. (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nEruption: Field that contains the Volcano_Number (Which uniquely identifies each volcano in the Global Volcanism Program Database), Volcano_Name (official name from the Global Volcanism Program Database), Notes_and_References (list of notes about the observed parameters and references used to derive each entry). ( Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nLatitude: Latitude of each emission from -90 to +90 (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nLongitude: Longitude of each emission degrees East (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nVEI: Volcanic Explosively Index of each emission based on Global Volcanism Program Database (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nTotal_Emission_of_SO2_Tg: Total emission of SO2 in teragram for the specific database entry (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nMaximum_Injection_Height_km: Maximum height of each emission in kilometers above sea level. (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nMinimum_Injection_Height_km: Minimum height of each emission in kilometers above sea level. (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nMonth_of_Emission: The month in which the emission is thought to have occurred. (Ordered by the variable Eruption_Number starting with the first eruption in the database.)\r\n\r\nYear_of_Emission: The Year in which the emission is thought to have occurred. (Ordered by the variable Eruption_Number starting with the first eruption in the database.)", "keywords": "Volcano, SO2, sulphur dioxide, volcanic eruptions, Earth System Models, VolcanEESM", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3679/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data provided by the project PI for archival at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13700/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129759/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/13714/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 30027, "uuid": "7abc197a062a448bb32a76d6f3371c66", "title": "Si-SOA: Concentration of water-soluble elements found in PM2.5 samples taken from Institue of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of water-soluble elements found in the PM2.5 samples resulting from the analysis by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.", "keywords": "SI-SOA, PM2.5, plasma mass spectrometry, ICP-MS", "publicationState": "published", "dataPublishedTime": "2020-02-18T09:06:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30081/?format=api", "dataPath": "/badc/deposited2020/si-soa/data/plasma_mass_spectrometry", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65523/?format=api" ], "dataLineage": "Data produced by University of Birmingham and uploaded to Centre for Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29996/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30041/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129766/?format=api", 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{ "ob_id": 30030, "uuid": "f73e6dce8284483191c6e832401bb547", "title": "Si-SOA: Concentration of water-soluble Silicon found in PM2.5 samples taken from the Institute of Atmospgeric Physic Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of water-soluble Silicon found in the PM2.5 samples resulting from the analysis by coupled plasma - optical emission spectrometry (ICP-OES). The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.", "keywords": "SI-SOA, PM2.5, plasma, coupled, optical, spectrometry, ICP-OES", "publicationState": "published", "dataPublishedTime": "2020-02-18T09:06:20", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30033/?format=api", "dataPath": "/badc/deposited2020/si-soa/data/plasma_optical_emission", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4375, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8156/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2572/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65502/?format=api" ], "dataLineage": "Data produced by University of Birmingham and uploaded to Centre for Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29996/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30041/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129781/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30032/?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": 30034, "uuid": "e6adf61de7b1488bb2b6f7f245596d41", "title": "Si-SOA: Concentration of water-soluble Silicon/water-soluble organic Silicon/water-Soluble inorganic silicon found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentrations of water-soluble Silicon/water-soluble organic Silicon/water-soluble inorganic Silicon found in the PM2.5 samples resulting from analysis by Ultraviolet-Visible Spectrophotometry. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.", "keywords": "SI-SOA, PM2.5, ultraviolet-visble spectrophotometry", "publicationState": "published", "dataPublishedTime": "2020-02-18T09:06:26", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30037/?format=api", "dataPath": "/badc/deposited2020/si-soa/data/ultraviolet_visible_spectrophotometry", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4244, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8156/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2572/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/65499/?format=api" ], "dataLineage": "Data produced by University of Birmingham and uploaded to Centre for Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29996/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30041/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129792/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30036/?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": 30038, "uuid": "44d49866681f4e30b0fd39ec8eeefdaa", "title": "Si-SOA: Concentration of elements found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of elements found in the PM2.5 samples resulting from X-ray Fluorescence Spectrometer (XRF) analysis. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution. \r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.", "keywords": "SI-SOA, PM2.5, X-ray, Fluorescence Spectrometer", "publicationState": "published", "dataPublishedTime": "2020-02-18T09:06:37", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30040/?format=api", "dataPath": "/badc/deposited2020/si-soa/data/x-ray_fluorescence_spectrometer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/129793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129803/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30039/?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": 30042, "uuid": "680ebdcb83c244fdb9d069e2f8952812", "title": "APHH: Direct infusion ultra-high resolution mass spectrometry measurements made at the IAP-Beijing site during the summer and winter campaigns", "abstract": "This dataset contains direct infusion ultra-high resolution mass spectrometry measurements made at the Institute of Atmospheric Physics land station, Beijing (IAP-Beijing) site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nDaily quartz microfiber filters were collected with a Tisch high volume sampler. The extracted organic fraction of the collected PM2.5 particles was analysed using an LTQ Orbitrap Velos mass spectrometer with electrospray ionisation to obtain high resolution mass spectra which enable the assignment of molecular formulae to the detected masses.\r\n\r\nFor both seasons, 10 filters were analysed, containing the 5 filters with the highest and lowest mass loadings for each season. The files names are labeled according to the ID of the analysed filter. All dates and times are given in Beijing local time.", "keywords": "APHH, spectrometry, PM2.5", "publicationState": "published", "dataPublishedTime": "2020-03-02T14:25:38", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30045/?format=api", "dataPath": "/badc/aphh/data/beijing/cam-orbitrap", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4897202, "numberOfFiles": 21, "fileFormat": "Data are BADC CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8162/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1856/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data produced by APHH project participants at University of Cambridge and deposited at The Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129824/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30044/?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": 30046, "uuid": "d5afa10e50b44229b079c7c5a036e660", "title": "Global Sensitivity Analysis of Tropospheric Ozone and OH: Budgets from three global chemistry-climate models", "abstract": "This dataset contains monthly mean global atmospheric distributions of ozone mixing ratio and methane chemical loss rate (the largest sink for atmospheric methane is the hydroxyl radical, OH) from 105 model runs with three independent global chemistry climate models. The models include the Frontier Research System for Global Change version of the University of California, Irvine Chemical Transport Model (FRSGC/UCI CTM), the Goddard Institute for Space Studies Global Climate Model (GISS GCM) and the Community Atmosphere Model with Chemistry (CAM-Chem). All three models performed the same simulations for a one-year period (broadly representative of 2001 meteorology) under standardised conditions (40 TgN/yr surface NOx emissions, 5 TgN/yr lightning emissions, 500 TgC/yr biogenic isoprene emissions, 1760 ppb tropospheric methane). An ensemble of 105 simulations was performed that included a control run (run 0), a set of runs that were used to build Gaussian Process emulators (runs 1-80), and additional runs that were used to evaluate the emulators (runs 81-104). A spin-up of six months was performed for each run, and monthly mean model results were archived for the following 12 months. The meteorological conditions used were the same in each simulation.\r\n\r\nThe data supports the exploration of the sensitivity of tropospheric ozone and the chemical lifetime of methane in the troposphere (a proxy for the hydroxyl radical, OH) to eight variables: (1) NOx emissions from all surface sources (range: 30-50 TgN/yr), (2) NO emissions from lightning (range: 2-8 TgN/yr), (3) biogenic isoprene emissions (range: 200-800 TgC/yr), (4) dry deposition rates of all deposited species (range: +/- 80%), (5) wet deposition rates of all soluble species (range: +/- 80%), (6) atmospheric humidity as used in the chemistry scheme only (range: +/- 50%), (7) cloud optical depth (range: factor of 10), and (8) turbulent mixing in the planetary boundary layer (range: factor of 100). The design of the ensemble runs used a Latin Hypercube method to sample this eight-dimensional parameter space to achieve optimal coverage with only 80 simulations. A separate design was used to select an additional 24 simulations to evaluate the emulators built from the standard 80 runs. The specifications for each simulation (total annual emission rate for surface NOx, biogenic isoprene and lightning NO, and the scaling factors applied to native model dry and wet deposition rates, humidity, cloud optical depth, and boundary layer diffusion coefficient) are provided with the dataset.", "keywords": "Tropospheric ozone burden, tropospheric methane lifetime, Gaussian process emulation, sensitivity analysis", "publicationState": "published", "dataPublishedTime": "2020-04-24T09:55:52", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30047/?format=api", "dataPath": "/badc/deposited2020/QRU-TropO3OH/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12018962087, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8163/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2579/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50420/?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/54088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91550/?format=api" ], "dataLineage": "Original global model results generated for the NERC project \"Quantifying and Reducing Uncertainty in the Processes Controlling Tropospheric Ozone and OH\". Selected variables provided in NetCDF format by model investigators and harmonized in CF-compliant NetCDF for submission to CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30048/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129838/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/30084/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30050, "uuid": "77d63a69e3554412a40c9a9ba564e3f9", "title": "SWIGS: Gorgon Magnetohydrodyamic Code Simulation Data: Magnetospheric and Ionospheric Conditions under Southward IMF for 0-90 degree Dipole Tilts", "abstract": "This dataset contains data outputs generated using the Gorgon Magnetohydrodynamic (MHD) code, for simulations of the steady-state magnetosphere-ionosphere system during southward interplanetary magnetic field (IMF) with dipole tilt angles from 0-90 degrees. This data were collected as part of the NERC project Space Weather Impacts on Ground-based Systems (SWIGS).\r\n\r\nThe MHD equations were solved in the magnetosphere on a regular 3-D cartesian grid of resolution 0.5 RE (Earth radii), covering a domain of dimensions (-30,90) RE in X, (-40,40) RE in Y and (-40,40) RE in Z with an inner boundary at 4 RE. In this coordinate system the Sun lies in the negative X-direction, the Z axis is aligned to the dipole in the 0 degree tilt case (where positive tilt points the north magnetic pole towards the Sun), and Y completes the right-handed set. The ionospheric variables were calculated on a separate 2-D spherical grid of dimensions 66x128 in latitude and longitude (with the north pole at 90 degrees latitude and the sun at 180 degrees longitude), coupled to the magnetospheric domain at the inner boundary. \r\n\r\nOutput data is timestamped in seconds and is defined at the centre of the grid cells. The simulation data corresponding to each dipole tilt are stored in separate directories 'XXdeg', e.g. in '00deg' for a 0 degree tilt angle. The data are stored in hdf5 format.\r\n\r\nThe magnetospheric variables are stored in the files 'Gorgon_[YYYYMMDD]_[XX]deg_MS_params_[XXXXX]s.hdf5' where XX is the tilt angle in degrees and XXXXX is the simulation time in seconds. The magnetospheric data includes the magnetic field ('Bvec_c'), plasma bulk velocity ('vvec') and electric current density ('jvec') after 4h of simulation, as well as the magnetic field and velocity in 5 minute intervals for the preceding 30 minutes. The dataset for each magnetospheric variable is of shape (240,160,160,3) where the first 3 dimensions are the grid indices in (X,Y,Z) indexed from negative to positive, and the final dimension is the cartesian vector components in (i,j,k). \r\n\r\nSimilarly, the ionospheric data are stored as 'Gorgon_[YYYYMMDD]_[XX]deg_IS_params_[XXXXX]s.hdf5', containing the field-aligned current ('FAC') and electric potential ('phi') after 4h of simulation, as well as the potential in 5 minute intervals for the preceding 30 minutes. The dataset for each ionospheric variable is of shape (66, 128) where the first dimension is the grid index in colatitude, indexed from the north towards the south (i.e. 0 to 180 degrees), and the second dimension is the grid index in longitude, indexed from midnight towards noon via dawn (i.e. 0 to 360 degrees).", "keywords": "SWIGS, Space, weather, Gorgon Magnetohydrodyamic Code", "publicationState": "citable", "dataPublishedTime": "2020-02-26T14:16:38", "doiPublishedTime": "2020-04-09T13:23:57", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30051/?format=api", "dataPath": "/badc/deposited2020/swigs/data/gorgon-dip-tilt/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22124097315, "numberOfFiles": 142, "fileFormat": "Data are HDF5 formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10269/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected by the project participants and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10709/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30053/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129846/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30052/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "title": "University of Leicester GOSAT Proxy XCH4 v9.0", "abstract": "The University of Leicester GOSAT Proxy XCH4 v9.0 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 NCEO funded 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 data sets. It's 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", "publicationState": "citable", "dataPublishedTime": "2020-05-07T16:04:50", "doiPublishedTime": "2020-05-07T16:16:37", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30281/?format=api", "dataPath": "/neodc/gosat/data/ch4/nceov1.0/CH4_GOS_OCPR/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19479912781, "numberOfFiles": 4530, "fileFormat": "CF compliant NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8244/?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/55535/?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/66719/?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", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69629/?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 produce under NCEO grant nceo020005", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10713/?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/130869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130864/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/30282/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30055, "uuid": "326bf808aedd41fd85594fc06678d20a", "title": "ESA Cloud Climate Change Initiative (Cloud_cci): ATSR2-AATSR monthly gridded cloud properties, version 3.0", "abstract": "The Cloud_cci ATSR2-AATSRv3 dataset (covering 1995-2012) was generated within the Cloud_cci project, which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. \r\n\r\nThis dataset is based on measurements from the ATSR2 and AATSR instruments (onboard the ERS2 and ENVISAT satellites) and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL; Sus et al., 2018; McGarragh et al., 2018) retrieval framework. The core cloud properties contained in the Cloud_cci ATSR2-AATSRv3 dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. The cloud properties are available at different processing levels: This particular dataset contains Level-3C (monthly averages and histograms) data, while Level-3U (globally gridded, unaveraged data fields) is also available as a separate dataset. Pixel-based uncertainty estimates come along with all properties and have been propagated into the Level-3C data. \r\n\r\nThe data in this dataset are a subset of the ATSR2-AATSR L3C / L3U cloud products version 3.0 dataset produced by the ESA Cloud_cci project available from https://dx.doi.org/10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V003. \r\nTo cite the full dataset, please use the following citation: Poulsen, Caroline; McGarragh, Greg; Thomas, Gareth; Stengel, Martin; Christensen, Matthew; Povey, Adam; Proud, Simon; Carboni, Elisa; Hollmann, Rainer; Grainger, Don (2019): ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci ATSR2-AATSR L3C/L3U CLD_PRODUCTS v3.0, Deutscher Wetterdienst (DWD) and Rutherford Appleton Laboratory (Dataset Producer), DOI:10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V003", "keywords": "ESA, CCI, Clouds", "publicationState": "published", "dataPublishedTime": "2020-03-26T09:39:39", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": 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This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements.\r\n\r\nThis dataset is based on measurements from AVHRR (onboard the NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19 satellites) and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL; Sus et al., 2018; McGarragh et al., 2018) retrieval framework. The core cloud properties contained in the Cloud_cci AVHRR-PMv3 dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. The cloud properties are available at different processing levels: This particular dataset contains Level-3C (monthly averages and histograms) data, while Level-3U (globally gridded, unaveraged data fields) is also available as a separate dataset. Pixel-based uncertainty estimates come along with all properties and have been propagated into the Level-3C data. \r\n\r\nThe data in this dataset are a subset of the AVHRR-PM L3C / L3U cloud products version 3.0 dataset produced by the ESA Cloud_cci project available from https://dx.doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003. To cite the full dataset, please use the following citation: Stengel, Martin; Sus, Oliver; Stapelberg, Stefan; Finkensieper, Stephan; Würzler, Benjamin; Philipp, Daniel; Hollmann, Rainer; Poulsen, Caroline (2019): ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci AVHRR-PM L3C/L3U CLD_PRODUCTS v3.0, Deutscher Wetterdienst (DWD), DOI:10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003.", "keywords": "ESA, CCI", "publicationState": "published", "dataPublishedTime": "2020-03-26T09:45:34", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30068/?format=api", "dataPath": "/neodc/esacci/cloud/data/version3/L3C/AVHRR-PM/v3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 69505520045, "numberOfFiles": 416, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8170/?format=api", 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The model is integrated for 55 years (idealised years) and monthly mean output are generated for the analysis and saved as NetCDF format using Climate Data Operator (CDO). The data were then sent to the Centre for Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10724/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30087/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129991/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30088/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30093, "uuid": "0c39809848ce47bb850d8ca2045e40f2", "title": "Biodiversity and Land Use Impacts on Tropical Forest Ecosystem Function (BALI): Isoprene concentration measurements at Wytham Woods (UK) during the summer of 2018", "abstract": "This dataset contains the time series of isoprene concentrations measured at Wytham Woods in the summer of 2018 during the Wytham Isoprene iDirac Oak Tree Measurements (WIsDOM) campaign, part of the NERC funded Biodiversity and Land Use Impacts on Tropical Forest Ecosystem Function (BALI) project.\r\n\r\nIsoprene is the largest biogenic emission on the planet and impacts air composition and climate. Seasonal data is important to underpin the biosphere-atmosphere exchange. A portable gas chromatograph, the iDirac (Bolas et al., Atmos. Meas. Tech, 2020) was used to monitor isoprene for a whole growing season (May-end September) in 2018 at Wytham Woods, an ancient woodland in the UK. Measurements were collected at 4 heights across the forest canopy: at ground level (0.53 m, inlet 1), in the under storey (7.25 m, inlet 2), at the crown level (13.17 m, inlet 3) and above the canopy (15.55 m, inlet 4). \r\n\r\nAncillary data (air temperature and photosynthetic active radiation, or PAR) were also collected.\r\n\r\nThe WIsDOM campaign was a joint effort of Cranfield University and the University of Cambridge.", "keywords": "BALI, WIsDOM, isoprene", "publicationState": "published", "dataPublishedTime": "2020-02-11T12:30:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30094/?format=api", "dataPath": "/badc/deposited2018/bali/data/wytham/isoprene/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5601081, "numberOfFiles": 7, "fileFormat": "Data are BADG-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8179/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2583/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70675/?format=api" ], "dataLineage": "Data were collected by the project team and delivered to the Centre for Environmental data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26485/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130017/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30098/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30099, "uuid": "53f8ae572f57473c897566f5c0165f95", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): surface temperature measurements from the University of Leeds Heitronics KT15.85 infra red radiative temperature sensor from an ice-floe site", "abstract": "This dataset contains surface temperature measurements from the University of Leeds Heitronics KT15.85 infra red radiative temperature sensor mounted at a 1.5-metre mast on an ice floe during the ice camp period of the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects. Both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data consist of quality controlled measurements at 1s.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).", "keywords": "MOCCHA, temperature, infra red", "publicationState": "published", "dataPublishedTime": "2020-03-02T08:55:00", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30100/?format=api", "dataPath": "/badc/moccha/data/icebreaker-oden/leeds-kt15-ir-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 70287371, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8180/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2584/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56602/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the MOCCHA project data authors before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130063/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30101/?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": 30102, "uuid": "9fb19afbcb1644eabf7192bccc006a28", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): composite lidar wind profile data from the NCAS AMF Halo Doppler lidar on board Icebreaker Oden", "abstract": "This dataset contains composite lidar wind profile data from the NCAS AMF Halo Doppler lidar mounted on a motion stabilised platform on board the Swedish Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nWind profiles are derived from a motion stabilised HALO Photonics Doppler lidar using 6-beam Velocity-Azimuth-Display (VAD) scans at two fixed elevations, 30° and 75°. Data are available only where the backscatter signal to noise ratio is better than -16dB, lidar internal QC checks and quality criteria for the VAD algorithm are all passed. Each profile is derived from 6 2-second dwell beams. Wind profiles were measured every 15 minutes, with 2 consecutive scans at 30 and 75°, 30 sec apart. The consecutive scans were merged into one wind profile with a vertical resolution of 10 m using a normalised weighted mean function.\r\nDocumentation & validation of the motion stabilisation and derived winds can be found in: Achtert P, Brooks IM, Brooks BJ, Moat BI, Prytherch J, Persson POG, Tjernström M (2015) Measurement of wind profiles by motion-stabilised ship-borne Doppler lidar, Atmospheric Measurement Techniques, 8, 4993-5007. doi: 10.5194/amt-8-4993-2015\" ;\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).", "keywords": "MOCCHA, AMF, Halo, lidar", "publicationState": "published", "dataPublishedTime": "2020-03-02T08:55:34", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30103/?format=api", "dataPath": "/badc/moccha/data/icebreaker-oden/ncas-lidar-dop-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 68357777, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8181/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2585/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24730/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the MOCCHA project data authors before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130077/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30105/?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": 30106, "uuid": "9405b2f8056947609da4bcc0bc88c5e8", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): SPRS Icebreaker Oden ship navigation data", "abstract": "This dataset contains ship navigation data, including speed over ground, course, heading etc, form the Swedish Polar Research Secretariat's (SPRS) Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data are provided as supportive data for use with the other datasets within this collection, helping to account for ship movement during the expedition for later data analysis. These data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Jutta Vüllers, University of Leeds.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).", "keywords": "MOCCHA, Ship, Navigation", "publicationState": "published", "dataPublishedTime": "2020-03-03T09:11:51", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30107/?format=api", "dataPath": "/badc/moccha/data/icebreaker-oden/navigation", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 96041783, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8182/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2586/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62031/?format=api" ], "dataLineage": "Data were collected and prepared for archiving by the MOCCHA project data authors before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130090/?format=api" ], "procedureAcquisition": null, "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": 30114, "uuid": "4ca242208e904efe830af45f1697f730", "title": "A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years (version 2)", "abstract": "We present a continuous land climate reconstruction dataset extending from 60 kyr before present to the pre-industrial period at 0.5deg resolution on a monthly timestep for 0degN to 90degN. It has been generated from 42 discrete snapshot simulations using the HadCM3B-M2.1 coupled general circulation model. We incorporate Dansgaard-Oeschger (DO) and Heinrich events to represent millennial scale variability, based on a temperature reconstruction from Greenland ice-cores, with a spatial fingerprint based on a freshwater hosing simulation with HadCM3B-M2.1. Interannual variability is also added and derived from the initial snapshot simulations. Model output has been downscaled to 0.5deg resolution (using simple bilinear interpolation) and bias corrected using either the University of East Anglia, Climate Research Unit observational data (for temperature, precipitation, windchill, and minimum monthly temperature), or the EWEMBI dataset (for incoming shortwave energy). Here we provide datasets for; surface air temperature, precipitation, incoming shortwave energy, wind-chill, snow depth (as snow water equivalent), number of rainy days per month, minimum monthly temperature, and the land-sea mask and ice fractions used in the simulations. The datasets are in the form of NetCDF files. The variables are represented by a set of 24 files that have been compressed into nine folders: temp, precip, down_sw, wind_chill, snow, rainy_days, tempmonmin, landmask and icefrac. Each file represents 2500 years. The landmask and ice fraction are provided annually, whereas the climate variables are given as monthly files equivalent to 30000 months, between the latitudes 0deg to 90degN at 0.5deg resolution. Each of the climate files therefore have the dimensions 180 (lat) x 720 (lon) x 30000 (month). We also provide an example subset of the temperature dataset, which gives decadal averages for each month for 0-2500 years.", "keywords": "Climate, Model, HadCM3B, air temperature, precipitation", "publicationState": "citable", "dataPublishedTime": "2020-02-26T14:07:50", "doiPublishedTime": "2020-02-26T14:39:54.387052", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30111/?format=api", "dataPath": "/badc/deposited2020/HadCM3B_60Kyr_Climate/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 331756060826, "numberOfFiles": 11, "fileFormat": "Data are gzipped, netCDF formatted." }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2587/?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/91909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91911/?format=api" ], "dataLineage": "The dataset has been produced using the HadCM3B coupled climate model, a version of the more commonly known HadCM3 that has been developed at the University of Bristol, and is outlined in detail in the study of Valdes et al., (2017). The original HadCM3 originated from the UK Met Office Hadley Centre. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10696/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26558/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130118/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30115, "uuid": "d69dccc3b50041bb91a126b85e9154d0", "title": "Sentinel 5P: Suomi-NPP VIIRS cloud level 2 data", "abstract": "The S5P NPP Cloud product contains information on cloud and scene homogeneity for TROPOMI scenes, derived from operational products from the VIIRS (Visible Infra-red Imaging Radiometer Suite) on board the Suomi National Polar-orbiting Partnership (S-NPP) platform. S5P operates in loose formation orbit with NPP, so that measurements from VIIRS are well co-located with TROPOMI, with a time difference of about 3.5 minutes. There is no specific validation of auxiliary products within the S5P Mission Performance Centre.\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The TROPOMI instrument onboard S5P is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth.\r\n\r\nThe S5P level 2 methane product is dependent on having information on cloud occurrence at spatial resolution finer than that achievable from TROPOMI itself. This information is also useful for other purposes, including assessing the influence of cloud on other L2 products and issues related to spatial co-registration. NPP-Cloud was therefore developed as a level 2 auxiliary product to describe cloud in the TROPOMI field of view (FOV), using co-located observations of VIIRS on the U.S. S-NPP. \r\n\r\nThe main information contained in the S5P-NPP product is:\r\n\r\n1. A statistical summary for each S5P FOV of the NPP-VIIRS L2 Cloud Mask (VCM).\r\n2. The mean and standard deviation of the sun-normalised radiance in a number of VIIRS moderate resolution bands.\r\nThis information is provided for three S5P spectral bands (to account for differences in spatial sampling).", "keywords": "Sentinel, ESA, VIIRS, cloud, Suomi-NPP, S5P", "publicationState": "published", "dataPublishedTime": "2022-08-12T08:00:25", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30116/?format=api", "dataPath": "/neodc/sentinel5p/data/L2_NP/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 32715044142843, "numberOfFiles": 202744, "fileFormat": "These data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9000/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ 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Downloaded from the Collaborative Hub for use by CEDA users.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12321/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26459/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180862/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/37710/?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": 30120, "uuid": "8351ed155b134155848d03a7cdce9f02", "title": "Ozone eddy covariance measurements at Penlee Point Atmospheric Observatory, April-May 2018", "abstract": "This dataset contains wind, temperature, pressure, humidity and ozone mixing ratio, given as the 20-minute mean of 10 Hz (ozone and wind) or 0.25 Hz (pressure, humidity and temperature) raw data. Ozone flux values calculated from the raw 10 Hz wind and ozone data are presented as mass fluxes and as molar fluxes. Deposition velocity is calculated from the molar flux.\r\n\r\nData relevant to the data selection are also included, such as ozone variability, instrument sensitivity, wind stationarity and wind speed and direction. The Penlee Point Atmospheric Observatory (PPAO) site is best suited to observing fluxes over water. The north-west sector contains the sloping headland on which the observatory is built, making flux observations in this sector of limited value.\r\n\r\nThe footprint area (where the measured flux is occurring) varies with wind conditions, but generally 90% of flux contribution occurs within 2-3 km of the observatory. The building itself sits 30-60m from the coast, depending on tide.\r\n\r\nMeasurements were taken from 2018/04/10 - 2018/05/21 using a Gill WindMaster Pro sonic anemometer, a Gill MetPak Pro, and a high frequency chemiluminescence ozone detector from Eco Physics. A 2B 205 ozone monitor was used as a reference for the high frequency ozone instrument. Data collection was managed by David Loades (University of York), Thomas Bell (Plymouth Marine Laboratory) and Mingxi Yang (Plymouth Marine Laboratory). \r\n\r\nData are missing where fluxes couldn't be calculated, most commonly due to heavy rain disrupting the anemometer or power outages.\r\n\r\nThese data were collected for the Natural Environment Research Council (NERC) project Iodide in the ocean:distribution and impact on iodine flux and ozone loss.", "keywords": "Ozone, eddy, Penlee Point", "publicationState": "citable", "dataPublishedTime": "2020-02-28T15:33:12", "doiPublishedTime": "2020-07-13T16:25:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30121/?format=api", "dataPath": "/badc/deposited2019/sea-surface-iodide-ozone/data/v1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1287361, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8183/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2588/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91549/?format=api" ], "dataLineage": "10 Hz data logged at the Penlee Point Atmospheric. High frequency data were despiked and detrended, and double rotation was applied to the wind vectors for flux calculation. The data were then sent to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10728/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27022/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130162/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30122/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30126, "uuid": "3534bbf43fa14e40bc61944eaf664511", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from Sentinel-5P, generated with the WFM-DOAS algorithm, version 1.2", "abstract": "This product is the column-average dry-air mole fraction of atmospheric methane, denoted XCH4. It has been retrieved from radiance measurements from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite in the 2.3 µm spectral range of the solar spectral range, using the Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS or WFMD) retrieval algorithm. This dataset is also referred to as CH4_S5P_WFMD.\r\n\r\nThe WFMD algorithm is based on iteratively fitting a simulated radiance spectrum to the measured spectrum using a least-squares method. The algorithm is very fast as it is based on a radiative transfer model based look-up table scheme. The product is limited to cloud-free scenes on the Earth's day side.\r\n\r\nThis data was produced as part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project.", "keywords": "ESA, CCI, satellite, Sentinel-5 Precursor, TROPOMI, atmosphere, methane, carbon monoxide", "publicationState": "citable", "dataPublishedTime": "2020-03-31T16:11:33", "doiPublishedTime": "2020-04-01T08:04:32", "updateFrequency": "", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30125/?format=api", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_S5P_WFMD/v1.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16714250286, "numberOfFiles": 376, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8184/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79736/?format=api" ], "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10706/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12808/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130585/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2564/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30130, "uuid": "be7c7d11ab7f4a358002d53216214163", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): lidar radial velocity and backscatter data for vertical stare mode from the NCAS AMF Halo Doppler lidar on board Icebreaker Oden", "abstract": "This dataset contains lidar radial velocity and backscatter data for vertical stare mode from the NCAS AMF Halo Doppler lidar mounted on a motion stabilised platform on board the Swedish Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects. Both projects are part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nData were corrected for ship motion. \r\n\r\nThe raw data and detailed instrument information can be obtained from the AMF archive at CEDA. \r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility (AMF) of the UK's National Centre for Atmospheric Science (NCAS AMF).", "keywords": "MOCCHA, AMF, Halo, lidar, Arctic", "publicationState": "published", "dataPublishedTime": "2020-03-04T14:45:19", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30131/?format=api", "dataPath": "/badc/moccha/data/icebreaker-oden/vertical-stare-ncas-lidar-dop-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 68823422431, "numberOfFiles": 53, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8185/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2585/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62011/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the MOCCHA project data authors before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29975/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29977/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130186/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30105/?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": 30132, "uuid": "0cb4cdde0ab6407690b2cc98dc858149", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): particle concentration and particle size distribution from the University of Leeds FSSP on board Icebreaker Oden", "abstract": "This dataset contains particle concentration and size distributions from the University of Leeds Forward Scattering Spectrometer Probe (FSSP) on board the Swedish Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility (AMF) of the UK's National Centre for Atmospheric Science (NCAS AMF).", "keywords": "MOCCHA, FSSP, particle, aerosol, Arctic", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30133/?format=api", "dataPath": "/badc/moccha/data/icebreaker-oden/leeds-fssp", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 88674987, "numberOfFiles": 67, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8186/?format=api", "geographicExtent": 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measurements in air from the ANSTO 1500 L detector", "abstract": "This dataset contains Radon concentration measurements in air from the ANSTO 1500 L detector at the Weybourne Atmospheric Observatories. \r\n\r\nThe Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl).", "keywords": "Weybourne Atmospheric Observatory, radon", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30177/?format=api", "dataPath": "/badc/weybourne/data/radon", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1900399, "numberOfFiles": 24, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8206/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/893/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62038/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130391/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/30175/?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": 30178, "uuid": "b06213c3f3934a689f89ab22aa50e471", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 08", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2), using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm which has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA.\r\n\r\nThis version of the data was produced as part of the European Space Agency's (ESA) \r\nClimate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg)\r\nand got co-funding from the Univ. Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810).\r\n\r\nWhen citing this dataset, please also cite the following peer-review publications:\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup, Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017", "keywords": "ESA, CCI, satellite, CO2", "publicationState": "citable", "dataPublishedTime": "2020-03-31T16:10:44", "doiPublishedTime": "2020-04-01T08:04:07", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30179/?format=api", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_OC2_FOCA/v8.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5860772063, "numberOfFiles": 1312, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8207/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28597/?format=api" ], "dataLineage": "This version of the data was produced as part of the European Space Agency's (ESA) \r\nClimate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg)\r\nand got co-funding from the Univ. Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10705/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12808/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130589/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2564/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30184, "uuid": "33a2a4b2c2224c5c9a1d17aca747fa19", "title": "Methane Emissions in a Chemistry-Climate Model: feedbacks and climate response", "abstract": "This dataset contains methane concentrations from a chemistry-climate model, focusing on year 2000 and year 2100. The present-day forcings were used for the 2000 simulation, while for year 2100 the Representative Concentration Pathway (RCP) RCP8.5 pathway were used. All experiments were run as perpetual timeslice experiments and are global model simulations made using the Met Office Unified Model at vn7.3 based on the HadGEM3-A science configuration. The model was run in atmosphere-only mode with a horizontal resolution of 2.5 degree latitude by 3.75 degree longitude, 60 vertical levels up to 84 km, and prescribed sea surface temperatures and sea ice extents. SST, sea ice and other forcings from earlier model experiments were used, e.g. Banerjee et al. (doi:/10.5194/acp-14-9871-2014). \r\n\r\nFor the year 2000 experiments, greenhouse gas, ozone depleting substances and ozone precursor emissions are taken from the Coupled Model Intercomparison Project - Phase 5 (CMIP5) reference forcings, as in Lamarque, 2010 (doi.org/10.5194/acp-10-7017-2010) The data comprise a series of separate experiments designed to test the performance of methane emissions in this model and to compare against the default that uses a prescribed concentration at the surface, with a view to assessing the performance of the more physically realist emissions treatment. \r\n\r\nFor year 2000, the model was run for three experiments: the first (BASE) experiments employ a set of emissions derived from EDGAR v4 to describe anthropogenic methane emissions, with biognenic emissions taken from the chemistry-transport model (CTM) intercomparison experiment (TransCom-CH4) paper of Patra et al, (DOI:10.5194/acp-11-12813-2011), a second set of experiments used identical emissions to BASE except that CO emissions were increased by 50% globally from the emissions of Lamarque, this is called Delta_CO, and a third year 2000 experiment used CMIP5 methane emissions from Lamarque (as above) rather than EDGAR and biogenic emissions derived from Melton et al. (https://doi.org/10.5194/bg-10-753-2013) rather than Patra. These experiments test the model skill in simulating methane based on the model treatment of emissions and establish the sensitivity to emissions. \r\n\r\nThree future climate experiments were also performed using climate forcings appropriate to year 2100 following the RCP8.5 pathway. We looked at the climate drivers in turn that arise as the climate changes. In the first, DELTA_CC, climate forcings were adjusted from greenhouse gases to year 2100 values, but kept methane and other anthropogenic forcings at year 2000 values, a second experiment, DELTA_CH4, adjusted CH4 to Year 2100 values from the emissions database as above, a third was an all-forcings experiments in which greenhouse gases, methane and ozone precursors were adjusted to RCP8.5 levels. This gave three separate experiments which explore how methane responds to these changes in the climate drivers.", "keywords": "methane, model, climate", "publicationState": "citable", "dataPublishedTime": "2020-03-23T11:13:32", "doiPublishedTime": "2020-03-23T14:31:21.215740", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30185/?format=api", "dataPath": "/badc/deposited2020/methane-chemistry-climate-model/data/UM-UKCA_vn73_Y2K_RCP8_5_CH4", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6459897794, "numberOfFiles": 23, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8210/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2608/?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/19039/?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/50512/?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/53096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54871/?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/62032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62037/?format=api" ], "dataLineage": "Data were generated using the Met Office Unified Model (UM) at N48 horizontal resolution over global domain. The data were sent by the data provider to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10703/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30186/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130419/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30187/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30188, "uuid": "549bce914f66451d838bff5c0a557b37", "title": "WCRP CCMI-1: UM-UKCA output following the CCMI refC1SD experiment protocol", "abstract": "This dataset contains model output for refC1SD experiment using version 7.3 of the Met Office Unified Model, based on the science version HadGEM3-A configuration (Hewitt et al.,2011, DOI:10.5194/gmd-4-223-2011) coupled with the United Kingdom Chemistry and Aerosol scheme. The simulation follows the experimental design of the IGAC/Stratosphere troposphere Processes And their Role in Climate (SPARC) Chemistry-Climate Model Initiative (CCMI) refC1SD experiment. This simulation spans 1979-2010, with emissions taken from MACCity (Granier et al., 2011, DOI:10.1007/s10584-011-0154-1), and uses prescribed sea surface temperatures and sea ice from HadISST (Rayner et al., 2003, DOI:10.1029/2002JD002670). Horizontal wind components (u and v) and potential temperature (θ) are nudged (following (Telford et al., 2008, DOI:10.5194/acp-8-1701-2008) to ERA-Interim Reanalysis data (Dee et al.,2011, DOI:10.1002/qj.828). \r\n\r\nThe data comprise monthly mean output over the period 1979-2010 for ozone, ozone production and loss, and diagnostics suitable for the calculation of the tropospheric ozone budget. We archive data from this experiment as HIST, and iIn order to assess the role of recent changes to the stratospheric ozone burden on the tropospheric ozone budget, a second integration (fODS_LBC) is archived in which the lower boundary condition of all halogenated ODS was kept constant at 1979 values, but all other forcings and emissions were allowed to evolve as in the HIST experiment.", "keywords": "IGAC, SPARC, CCMI-1, refC1SD, ozone, model, climate", "publicationState": "citable", "dataPublishedTime": "2020-03-23T11:12:51", "doiPublishedTime": "2020-03-23T14:30:48", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30189/?format=api", "dataPath": "/badc/deposited2020/methane-chemistry-climate-model/data/UKCA_StratTrop_REFC1SD_FODS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 43798174508, "numberOfFiles": 14, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8211/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2608/?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/19039/?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/54871/?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/62034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62056/?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" ], "dataLineage": "Data were generated using the Met Office Unified Model (UM) at N48 horizontal resolution over global domain. The data were sent by the data provider to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10702/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30186/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130431/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30187/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30193, "uuid": "05cea0662aa54aa2b7e2c5811e09431f", "title": "Defra and JNCC Sentinel-1 Analysis Ready Data (ARD)", "abstract": "These data have been created by the Department for Environment, Food and Rural Affairs (Defra) and Joint Nature Conservation Committee (JNCC) in order to cost effectively provide high quality, Analysis Ready Data (ARD) for a wide range of applications. The dataset contains modified Copernicus Sentinel-1 data processed into a normalised radar backscatter product on a linear scale in dB. Products acquired from ESA are Ground-Range Detected (GRD) Interferometric Wide-swath (IW) in the dual VV+VH polarisation (DV) mode, where both VV and VH polarisations are collected. Defra and JNCC data were processed on separate platforms using a common specification to produce complementary outputs up to and including the acquisition date 23/06/2023. Data acquired after that date were processed on a single platform to the same specification.\r\n\r\nSentinel-1 scenes processed before July 2021 have had a strip of data clipped from their northern edge to remove an artefact caused by a deprecated processing method. Details can be found in the lineage statement of the metadata for all affected scenes.", "keywords": "Analysis Ready Data, Sentinel, Backscatter, Synthetic Aperture Radar, ARD", "publicationState": "published", "dataPublishedTime": "2020-03-30T10:59:05", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30194/?format=api", "dataPath": "/neodc/sentinel_ard/data/sentinel_1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 141557706578098, "numberOfFiles": 71966, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format. Each product comes with xml metadata file." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9028/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44948/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130439/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/30196/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30199, "uuid": "bf9568b558204b81803eeebcc7f529ef", "title": "Defra and JNCC Sentinel-2 Analysis Ready Data (ARD)", "abstract": "These data have been created by the Department for Environment, Food and Rural Affairs (Defra) and Joint Nature Conservation Committee (JNCC) in order to cost-effectively provide high quality, Analysis Ready Data (ARD) for a wide range of applications. The dataset contains modified Copernicus Sentinel-2 (Level 1C data processed into a surface reflectance product (Level 2)). Defra and JNCC data were processed on separate platforms using a common specification to produce complementary outputs up to and including the acquisition date 23/06/2023. Data acquired after that date were processed on a single platform to the same specification.\r\n\r\nThe majority of data captured between July 2015 and August 2017 was processed by Aberystwyth University for Defra and later updated by JNCC to the same specification as the rest of this dataset. Please see the image-level metadata for details of data lineage and processing.\r\n\r\nThe Sentinel-2 ARD filename format was changed in April 2023. Filenames of data acquired on or after 01/04/2023 include the timestamp of data generation and display image latitude and longitude to a consistent number of significant figures preceded by ‘n’ (North) and ‘e/w’ (East / West). Filenames of data acquired before this date do not include the data generation timestamp and display latitude and longitude to varying significant figures not preceded by ‘n’ and ‘e/w’.", "keywords": "Analysis Ready Data, Sentinel, Surface Reflectance, ARD", "publicationState": "published", "dataPublishedTime": "2020-03-30T11:16:01", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30198/?format=api", "dataPath": "/neodc/sentinel_ard/data/sentinel_2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 90195900815524, "numberOfFiles": 527535, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format. Each product comes with valid pixel, topographic shadow, saturated pixel and cloud masks and metadata files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9029/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2609/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44948/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130454/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/30201/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 30204, "uuid": "1d38c469bbd3411b9bc4cd1195c38331", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.7", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created. \r\n\r\nThe v04.7 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2019-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI, Active", "publicationState": "published", "dataPublishedTime": "2020-04-16T13:14:59", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30205/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v04.7", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8361304467, "numberOfFiles": 10377, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8216/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. 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The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.7 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. 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