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=7000
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7100", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=6900", "results": [ { "ob_id": 32026, "uuid": "c6b2f1ca5f8e4c5285fb4f69d1514a03", "title": "Lagrangian Dry Point data regarding the sensitivity of stratospheric water vapour to variability in tropical tropopause temperatures and large-scale transport", "abstract": "This dataset contains results in support of a publication that investigates processes affecting water vapour entry to the stratosphere. The back trajectories were calculated using the OFFLINE trajectory model. Past publications have shown the key processes are temperatures in the tropical tropopause layer and large-scale transport into the stratosphere using trajectory methods. Lagrangian Dry Points (LDPs) are normally calculated as the minimum water vapour saturation mixing ratio experienced along a back-trajectory that has traversed from troposphere to tropical lower stratosphere in its recorded history. \r\n\r\nThis study separated the two key processes by sampling alternative temperatures. These alternative temperatures are either time-shifted or averaged in time or longitude. This method is applied for two meteorological datasets: ERA-Interim (ERA-I) reanalysis for the period 1999-2009, and the UM-UKCA chemistry-climate model for eleven years of a repeat-year-2000 forcing scenario. The ERA-I trajectories were calculated by S Fueglistaler and S Liu for separate publications. The UM-UKCA climate model scenario was conducted by A Maycock. This dataset contains only the LDPs resulting from alternative-temperature sampling.\r\n\r\nThe directory UM-UKCA/LDP-original-T/ provides a simple view of the original unmodified method to calculate LDPs.\r\n\r\nLDP-alt-T/ directories contain LDPs determined with time-shifted alternative temperature samplings. The time-shift is identified by the alternative initialisation date, denoted in the filename and file metadata.\r\n\r\nLDP-ave-T/ directories contain LDPs determine with averaged alternative temperature samplings. The averaging is identified by the variable name and metadata. In the variable names, shorthand and full-name identifiers include 6h (6 hourly instantaneous), ZM (zonal mean), 30DZM (30-day rolling window mean and zonal mean), 120DM, 90DM, 60DM, 30DM, 15DM, 14DM, 8DM, 7DM, 4DM, 2DM, 1DM (rolling window 120 day mean, 90 day mean, etc.). \r\n\r\nNote that various alternative temperatures are recorded at each LDP calculated from each alternative temperature.\r\n\r\nFor more information on the directory structure, file naming conventions, variable naming conventions and attribute conventions please see the README.txt.", "keywords": "OFFLINE, stratospheric, ERA, UM-UKCA, trajectories", "publicationState": "citable", "dataPublishedTime": "2020-11-30T14:07:13", "doiPublishedTime": "2020-11-30T14:36:56", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32025/?format=api", "dataPath": "/badc/deposited2020/OFFLINE_h2o_strat_variability/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2670290796, "numberOfFiles": 3768, "fileFormat": "Data are provided in NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8783/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2722/?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/68678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68690/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79170/?format=api" ], "dataLineage": "Diabatic trajectories subjected to ERA-I meteorology were obtained from S Liu and S Fueglistaler. Kinematic trajectories subjected to UM-UKCA meteorology were calculated using the OFFLINE trajectory model (Methven et al. 1997, Liu et al. 2009) in a from modified by S Liu and by the data provider. Trajectories are initialised every 2 degrees longitude and latitude between 30 N - 30 S on a surface above the tropical tropopause layer (83 hPa surface for ERA-I and 400K potential temperature surface for UM-UKCA). Alternative temperature sampling was also calculated using OFFLINE. Lagrangian Dry Points were calculated using python processing scripts by the data provider. Data has been converted to CF-netCDF using python processing scripts by the data provider, and then passed on to the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10793/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32028/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141933/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32029/?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": 32033, "uuid": "725191f353a743bc8fc9cd2f4852c9ed", "title": "ESA Ozone Climate Change Initiative (Ozone_cci): Total ozone column product (level 2) from the GOME satellite instrument, produced with the GODFIT v4 algorithm, version 0300", "abstract": "In Ozone_cci, Level2 total ozone column records from the Global Ozone Monitoring Experiment (GOME) have been processed with the GODFIT (Gome-type Direct FITting) version 4 algorithm developed at the Royal Belgian Institute for Space Aeronomie (BIRA-IASB). \r\n\r\nThe dataset has a global coverage and extends in time from 1995 to 2011.", "keywords": "total column ozone, GOME, CCI", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8784/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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/14147/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141959/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 32037, "uuid": "5f4d2f6daebd4195a0368a79405d3686", "title": "Global model data generated for volcanic halogen simulations: United Kingdom Earth System Model 1.0 (UKESM1.0), Unified Model version 11.2, N96L85, 1990s timeslice.", "abstract": "This dataset contains global model data generated for volcanic halogen simulations. Model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only configuration, with Met Office Unified Model version 11.2. The data is on a global N96 grid (192 x 144 points), and is a mid 1990s timeslice. These data were used to study the impact of co-emission of volcanic halogens on atmospheric composition and radiative forcing.\r\n\r\nThere are 6 experimental integrations for sulfur only (u-bw537, u-bw539, u-bw541, u-bs104, u-bs110, u-bs112) and sulfur & halogens (u-bw538, u-bw540, u-bw542, u-bs109, u-bs111, u-bs113), and a control (u-bs034) for each year. The files are labeled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included file variable_codes.txt.\r\n\r\nThe datasets are in NetCDF format, and were generated from the above model suites.", "keywords": "UM, volcanic, halogen, sulfur", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32038/?format=api", "dataPath": "/badc/deposited2020/ukesm1_volcanic_halogen/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 668164633209, "numberOfFiles": 8023, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8786/?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/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/30345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31666/?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/54875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54883/?format=api" ], "dataLineage": "Simulations run on Met Office MONSooN2. Data extracted from MASS to JASMIN as PP files. Converted to Cf-compliant NetCDF format using Python 3.7.1. The data were then delivered to the Centre for Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142000/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/4335/?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": 32040, "uuid": "c01a412f71f94de9ae0f5502e127f3fc", "title": "Ultrafine and Submicron Particles in the Urban Environment in Thailand: PM10 concentration and composition measurements in Lak Si, Bangkok, Thailand", "abstract": "This dataset contains PM10 concentration and composition measurements taken in Lak Si, Bangkok, Thailand. Particulate Matter under 10 micrometres diametre in size (PM10) was collected in 24 hour and 72 hour samples in a rooftop site in Lak Si, Bangkok, Thailand using a Sven Leckel LVS3 PM10 sampler. Samples were weighed and analysed for concentrations of the following elements: magnesium (Mg), aluminim (Al), calcium (Ca), vanadium (V), cromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), selenium (Se), molybdenum (Mo), cadmium (Cd), antimony (Sb), barium (Ba) and lead (Pb). The data covered three seasons in Bangkok, hot, cool and rainy, from 5th March 2018 until 15th November 2018. Meteorological data was measured in the same location using a Gill Maximet 501 and Gill Maximet 100 weather station. Weather parameters measured included rainfall, wind speed, wind direction, pressure, relative humidity, temperature, dew point and solar radiation. \r\n\r\nMeasurements were taken by the staff of the Toxicology group in the Chulabhorn Research Institute, Thailand and the Atmospheric Chemistry Research Group in the University of Bristol, UK as part of the NERC grant Ultrafine and Submicron Particles in the Urban Environment in Thailand.", "keywords": "Thailand, PM10, composition, meteorology", "publicationState": "published", "dataPublishedTime": "2023-07-21T15:45:24", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32041/?format=api", "dataPath": "/badc/deposited2020/thailand-particles/data/bristol-lvs3/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35195, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": 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Environmental Data Anaylsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/28097/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168955/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32042/?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": 32043, "uuid": "29c70585725e4e308ceb2edf3739520a", "title": "Ultrafine and Submicron Particles in the Urban Environment in Thailand: Aerosol concentration and composition size distributions in four locations near Bangkok, Thailand", "abstract": "Particulate matter in up to13 size fractions was collected in up to 72 hour samples from a 5th floor window in Lak Si, Bangkok, Thailand; and from Pollution Control Department (PCD) sites in Ayutthaya, Bang Phli and Chok Chai, in or near Bangkok using a Dekati Electrical Low Pressure Impactor Classic (ELPI). Samples were weighed and analysed for concentrations of the following elements: Mg, Al, V, Cr, Mn, Fe, Co, Ni, Cu. Zn, As, Se, Mo, Cd, Sb, Ba and Pb. The data covered three seasons in Bangkok, hot, cool and rainy, from February 2018 until December 2018. Measurements were taken by the staff of the Toxicology group in the Chulabhorn Research Institute, Thailand and the Atmospheric Chemistry Research Group in the University of Bristol, UK, with the assistance of the PCD, Bangkok, at their sites.", "keywords": "Thailand, PM10, composition, meteorology", "publicationState": "published", "dataPublishedTime": "2021-05-14T08:29:17", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32044/?format=api", "dataPath": "/badc/deposited2020/thailand-particles/data/bristol-elpi/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 84886, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8787/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2543/?format=api", "nonGeographicFlag": false, "phenomena": [ 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"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32050, "uuid": "934391cd31a54e258eba603a70b25c00", "title": "Greenland ice sheet data", "abstract": "The dataset comprises output files from FAMOUS-ice--Glimmer, which is a global climate model coupled to a Greenland ice-sheet model. Gregory et al. (2020, Cryosphere) used this model to study the future of the Greenland ice sheet. The data are CF-netCDF files, and their contents are described in detail in MANIFEST.txt.", "keywords": "Greenland, ice-sheet", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32052/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142069/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32054/?format=api", "permissions": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32055, "uuid": "087d4c75ace04e59a71d95c1c44918f9", "title": "HadEX3: Global land-surface climate extremes indices v3.0.3 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.3 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. 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ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. 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ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). 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ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble members were used to derive means and spread data (see linked datasets). Ensemble means and spreads were calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. 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ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble means and spreads are calculated from the ERA5 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. 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These data are global sub-daily surface meteorological data that extends HadISD v3.1.0.2019f to include 2020 and so spans 1931-2020.\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_19310101-20210101_v3-1-1-2020f.nc. The station codes can be found under the docs tab. 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. 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Data are translated over to a regular latitude-longitude grid and converted to netCDF format ahead of transfer to the CEDA system.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30234/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30248/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142435/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30236/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32115, "uuid": "9266a584355b46cf9d02791256e2b457", "title": "ECMWF ERA5.1: ensemble means of surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data ensemble means over the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). The ensemble means are calculated from the ERA5.1 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store.", "keywords": "ECMWF, ERA, ERA5, reanalysis, analysis, surface level, ensemble run", "publicationState": "published", "dataPublishedTime": "2021-03-12T11:52:21", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32083/?format=api", "dataPath": "/badc/ecmwf-era51/data/enda/em_sfc/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 320958396048, "numberOfFiles": 204560, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/4997/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69039/?format=api" ], "dataLineage": "Data are generated by the ERA5 project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by CEDA staff using the ECMWF system and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. Data are translated over to a regular latitude-longitude grid and converted to netCDF format ahead of transfer to the CEDA system.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30234/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30248/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142444/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30236/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32116, "uuid": "fba43af08c49445cb9150d524d8a2072", "title": "ECMWF ERA5.1: ensemble spreads of surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains spreads for the ERA5.1 surface level analysis parameter data ensemble means (see linked dataset) over the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). The ensemble means and spreads are calculated from the ERA5.1 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store.", "keywords": "ECMWF, ERA, ERA5, reanalysis, analysis, surface level, ensemble run", "publicationState": "published", "dataPublishedTime": "2021-03-12T11:52:28", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32082/?format=api", "dataPath": "/badc/ecmwf-era51/data/enda/es_sfc/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 318713694356, "numberOfFiles": 204561, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/4997/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/2007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/2008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31788/?format=api" ], "dataLineage": "Data are generated by the ERA5 project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by CEDA staff using the ECMWF system and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. Data are translated over to a regular latitude-longitude grid and converted to netCDF format ahead of transfer to the CEDA system.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30234/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30248/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142453/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30236/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32117, "uuid": "88224a922439441fa6644b4564dcd90c", "title": "Posterior South American monthly mean surface flux of methane (2010-2018) produced using the INVICAT 4D-Var inverse model.", "abstract": "This data set consist of a single file which contains a set of optimised global surface fluxes of methane (CH4), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. These surface fluxes are produced as monthly mean values on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included. The fluxes and uncertainties are global and cover the period Jan 2010 - Dec 2018. The emissions from fossil fuels are labelled FF_FLUX, whilst the uncertainties are labelled FF_ERROR. The emissions from natural, agricultural and biomass burning sources are labelled NAT_FLUX, whilst the uncertainties are labelled NAT_ERROR. These two sectors (fossil fuel and non-fossil fuel) are solved for separately in the inversion. Flux and uncertainty units are kg(CH4)/m2/s, and time units are days since January 1st 2010. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in Wilson et al. (2020) in the documentation section.", "keywords": "CH4, Methane, Amazon, agriculture, biomass, TOMCAT, INVICAT", "publicationState": "citable", "dataPublishedTime": "2021-02-11T16:07:17", "doiPublishedTime": "2021-02-17T14:19:15.290225", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32118/?format=api", "dataPath": "/neodc/gosat/data/ch4/invicat_amazon/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 293715, "numberOfFiles": 2, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8808/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2725/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68849/?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/10804/?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/142458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142497/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32129/?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": 32119, "uuid": "ee3900d930c34730bacc4cf5ada98a7d", "title": "APHH: VOC measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains hourly VOC concentration measurements from the University of York's two-dimensional gas chromatography with flame ionisation detection instrument. This instrument was located at the Indira Gandi Delhi Technical University for Women (IGDTUW). Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. \r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture. Certain C4 substituted monoaromatic compounds have been tentatively identified. Monoterpenes have been quantified based on their relative response to liquid injections.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.", "keywords": "APHH, Delhiflux, VOC", "publicationState": "published", "dataPublishedTime": "2021-02-08T14:59:18", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32120/?format=api", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-gcxgc-fid/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1039158, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8809/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2612/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/41999/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30221/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32625/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142472/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32121/?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": 32124, "uuid": "58648f7210c84c44a91dc128d8d750d8", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop - C satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-C satellite. \r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. the IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data set contains the original processed data.. in the following directories based on processing algorithm. Please see information under the process tab for further information.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only \r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly.", "keywords": "IASI, EPS, satellite, temperature, troposphere, stratosphere, Metop-C", "publicationState": "published", "dataPublishedTime": "2021-02-03T20:32:23", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32125/?format=api", "dataPath": "/neodc/iasi_metop_c/data/l1c/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 28161792678324, "numberOfFiles": 13596, "fileFormat": "EUMETSAT native IASI" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8811/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected and prepared by EUMETSAT before a copy was obtained by CEDA directly from EUMETSAT", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19624/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142479/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32126/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2663/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "metop_iasi", "label": "restricted: metop_iasi group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/Eumetsat%20Data_Policy.pdf", "licenceClassifications": "specific" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32132, "uuid": "1bd597257788460189e62f46d60e0b0e", "title": "Global removal methane simulation measurements from UKESM1 model using UKCA coupled with JULES and MEDUSA", "abstract": "This dataset contains global removal methane simulation measurements from the UK Earth system models (UKESM1) model using UK Chemistry and Aerosol (UKCA) coupled with Joint UK Land Environment Simulator (JULES) and Model of Ecosystem Dynamics, nutrient Utilisation, Sequestrationand Acidification (MEDUSA). Using UKESM1, a series of simulations of methane removal were run until 2100. \r\n\r\nThe measurements include globally averaged data for methane emissions, surface temperature, and surface ozone at a monthly time period. This was completed using the new emissions-driven configuration of UKESM1. Model resolution is N96L85-ORCA1 with 85 vertical levels. Wetland methane emissions are interactively coupled to UKCA. (More details available in Sellar et al 2019 and Folberth et al 2021). The different columns are different simulations. These can be broken down into two broad categories: those based on SSP1-2.6 and those based on SSP3-7.0. \r\n\r\nFor each SSP, we created a set of methane removal simulations with the modified prescribed methane emissions shown in the corresponding columns. These were for the base SSP, a series of different removal amounts (0.25, 0.5, 0.75, 1, 1.5, and 2.0 x the removal in SSP3-7.0LowCH4) and a series of different timings for the start of removal (2020, 2030, 2040, 2050). For each simulations, global means surface temperature and ozone are gathered in this data. Location extent is full global average.", "keywords": "removal, methane, UKKESM1, UKCA", "publicationState": "published", "dataPublishedTime": "2021-02-03T10:55:27", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32130/?format=api", "dataPath": "/badc/deposited2021/ukesm1_methane_removal/data/v1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 792376, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8814/?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/67597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67599/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67630/?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/142504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168958/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32131/?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": 32136, "uuid": "612a615afb5d48459b385380b440b545", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products covering the period 1997 - 2020.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0", "keywords": "ESA, CCI, Ocean Colour, Geographic", "publicationState": "published", "dataPublishedTime": "2021-05-12T13:12:51", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32147/?format=api", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/climatology/netcdf/monthly/v5.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14088690998, "numberOfFiles": 13, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8915/?format=api", "geographicExtent": 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The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0", "keywords": "ESA, CCI, Ocean Colour, Sinusoidal, Reflectance", "publicationState": "published", "dataPublishedTime": "2021-05-12T13:09:17", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32152/?format=api", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/rrs", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7842516032563, "numberOfFiles": 11558, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8842/?format=api", "geographicExtent": 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Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0", "keywords": "ESA, CCI, Ocean Colour, Sinusoidal", "publicationState": "published", "dataPublishedTime": "2021-05-12T13:09:35", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32153/?format=api", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/iop", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11239035141350, "numberOfFiles": 11558, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8841/?format=api", "geographicExtent": 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"abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0", "keywords": "ESA, CCI, Ocean Colour, Geographic", "publicationState": "published", "dataPublishedTime": "2021-05-12T13:10:09", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32155/?format=api", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/geographic/netcdf/kd", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1134376467375, "numberOfFiles": 11558, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8838/?format=api", "geographicExtent": 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"NDGO0003" } ] }, { "ob_id": 32159, "uuid": "dc723f82939843f199fff78778d5b8d0", "title": "Iceland Greenland seas Project (IGP): precipitation measurements from the University of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance", "abstract": "This dataset contains measurements from the Micro Rain Radar (MRR2), manufactured by Meteorologische Messtechnik GmbH (Metek) installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project. \r\nThe MRR2 is a frequency modulated (FM), continuous wave (CW) Radar (Radio Detection and Ranging) that obtains doppler spectral density at each range gate with a time resolution of 10 s. The terminal velocity of the precipitation targets (vT) is the primarily retrieved variable from these doppler spectral density observations. Additionally, drop size distribution and the corresponding moments, for example liquid water content (LWC), rain rate (RR) and Radar Reflectivity (Ze) are retrieved with post processing.\r\nThe initial installation location from 03-13 Feb 2018 was midship on the weatherdeck. At Reykjavik harbour the MRR2 worked as expected, while at sea artificial signals at three elevations appeared. The artificial signals were due to an interference on the power cable or power source. On 11 Feb 2018, a separate power source for the MRR2 could be secured, and it subsequently operated without interferences after ~12 UTC that day. For further details and figures on the MRR2 and its operation in the cruise please read the attached documentation.", "keywords": "IGP, meterological, buoy, ocean currents, wave height", "publicationState": "published", "dataPublishedTime": "2021-02-11T16:25:57", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33075/?format=api", "dataPath": "/badc/igp/data/IGP_MRR2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7816201463, "numberOfFiles": 98, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7150/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2279/?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/60547/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83920/?format=api" ], "dataLineage": "Data collected during the IGP field campaign, then processed and quality controlled at the University of Bergen.", "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/142977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142981/?format=api", 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Glaciers Climate Change Initiative (Glaciers_cci): 2017 inventory of ice marginal lakes in Greenland (IIML), v1", "abstract": "The 2017 inventory of ice marginal lakes in Greenland (IIML) has been produced as part of the European Space Agency (ESA) Climate Change Initiative (CCI) in Option 6 of the Glaciers_cci project, and is a product that addresses the terrestrial essential climate variable (ECV) Lakes.\r\n\r\nThe IIML is a comprehensive record of all identified ice marginal lakes across the terrestrial margin of Greenland, detected using remote sensing techniques. The detected lakes are presented as polygon vector features in shapefile format, with coordinates provided in the WGS 1984 UTM Zone 24N projected coordinate system. Ice marginal lakes were identified using three independent remote sensing methods: 1) multi-temporal backscatter classification from Sentinel-1 synthetic aperture radar imagery; 2) multi-spectral indices classification from Sentinel-2 optical imagery; and 3) sink detection from the ArcticDEM (v3). All data were compiled and filtered in a semi-automated approach, using a modified version of the MEaSUREs GIMP ice mask (https://nsidc.org/data/NSIDC-0714/versions/1) to clip the dataset to within 1 km of the ice margin. Each detected lake was then verified manually. The IIML was collected to better understand the impact of ice marginal lake change on the future sea level budget and the terrestrial and marine landscapes of Greenland, such as its ecosystems and human activities.\r\n\r\nThe IIML is a complete inventory of Greenland, with no absent data.", "keywords": "Ice Marginal Lakes, Greenland, Glaciers_cci, ESA", "publicationState": "citable", "dataPublishedTime": "2021-02-12T17:17:18", "doiPublishedTime": "2021-02-19T15:17:31", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32168/?format=api", "dataPath": "/neodc/esacci/glaciers/data/IIML/Greenland/v1/2017/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 88174529, "numberOfFiles": 10, "fileFormat": "vector shapefile (.shp)" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8817/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2728/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Andreas Wiesmann, Maurizio Santoro and Rafael Caduff (Gamma Remote Sensing) coordinated and performed the Sentinel-1 synthetic aperture radar classification workflow. Penelope How, Alexandra Messerli, Eva Mätzler, Kirsty Langley and Mikkel Høegh Bojesen (Asiaq Greenland Survey) coordinated the optical classification and sink detection workflow, and performed the post-processing, manual cleaning and compiling of the IIML. Frank Paul (University of Zurich) and Andreas Kääb (University of Oslo) advised on the dataset generation.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10806/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/32167/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143012/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32164/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2620/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_glaciers_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32169, "uuid": "ef1627f523764eae8bbb6b81bf1f7a0a", "title": "ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1", "abstract": "This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. This is version 1.1 of the dataset.\r\n\r\nLakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. \r\n\r\nThe five thematic climate variables included in this dataset are:\r\n•\tLake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.\r\n•\tLake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.\r\n•\tLake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. \r\n•\tLake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. \r\n•\tLake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).\r\n\r\nData generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.", "keywords": "ESA, CCI, Lakes, ECV", "publicationState": "citable", "dataPublishedTime": "2021-07-12T09:00:33", "doiPublishedTime": "2021-07-12T13:25:44", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32794/?format=api", "dataPath": "/neodc/esacci/lakes/data/lake_products/L3S/v1.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 362653685408, "numberOfFiles": 9970, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9023/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2623/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/8143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/8144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?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/68335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84558/?format=api" ], "dataLineage": "This dataset was generate in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10902/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30309/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143037/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32839/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2551/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lakes_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32170, "uuid": "656204c257144708a641507c78187aaa", "title": "Filter pack and cascade impactor samples of gas and aerosol particulate matter on the Island of Hawai'i (2018, 2019)", "abstract": "This dataset reports chemical speciation of airborne gas and aerosol particulate matter (PM) sampled in various locations on the Island of Hawai'i in 2018 and 2019. The 2018 samples were collected during a large eruption of Kilauea volcano. The 2019 samples were collected during a period of very low volcanic activity. \r\n\r\nSamples were collected in several locations on the Island of Hawai'i, Hawaii, USA. \r\n\r\nTime-series samples were collected at \r\n-Leilani Estates\r\n-Volcano village\r\n-Pahala, Ocean View \r\n-Kailua-Kona\r\n-Mauna Loa Observatory in 2018 and 2019. \r\n\r\nPoint-source samples were collected at the following locations \r\n-The main erupting vent 'Fissure 8' on the Kilauea Volcano in 2018, and repeated in its vicinity post-eruption in 2019\r\n- The lava ocean entry point in 2018 and repeated in its vicinity post-eruption in 2019. \r\n\r\nThe samples were collected using filter packs (FP) and Sioutas cascade impactors (SKC). The instruments were used at ground-level in all cases except for samples FP_08_1, FP_ 09_1, FP_09_2, SKC_08 and SKC_09 which were attached to an Unoccupied Aircraft System (UAS) in order to safely access the erupting vent and the lava ocean entry. \r\n\r\nThe samples were then analysed using inductively-coupled plasma mass spectroscopy (ICP-MS), inductively-coupled plasma optical emission spectroscopy (ICP-OES) and ion chromatography (IC). Sample analysis was done at the University of Leeds, United Kingdom (2018 samples) and the University of Leeds and Open University, United Kingdom (2019 samples). The results are reported as concentration per volume of air sampled (µg/m^3) to 2 significant figures. This was done to \r\n- assess the dispersion of major and trace elements in a volcanic plume, and quantify their depletion rates from the source into the far-field (up to ~240 km downwind)\r\n- assess the impact of volcanic emissions on the composition of the local atmosphere.\r\n\r\nThe data were produced as a result of a collaborative project between the Universities of Leeds, Cambridge, Oxford (UK), Hawaiian Volcano Observatory of the United States Geological Survey, and the University of Hawai'i at Manoa (USA).", "keywords": "Filter pack, cascade impactor, Volcanic, metal, particulate, Hawaii", "publicationState": "citable", "dataPublishedTime": "2021-02-17T17:39:31", "doiPublishedTime": "2021-02-19T15:02:55.973794", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32171/?format=api", "dataPath": "/neodc/comet/data/volcano_fp_skc/hawaii/2018_2019/", "oldDataPath": [], "storageLocation": "internal", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69128/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Data were reformatted by CEDA and approved by Dr Evgenia Ilyinskaya of the University of Leeds", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10805/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143056/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32172/?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": 32176, "uuid": "905032bf592d46cba7effe558b79145d", "title": "Methane Observations and Yearly Assessments (MOYA): lower troposphere greenhouse gas data taken over Pantanal, Mato Grosso do Sul, Brazil", "abstract": "This dataset contains CH4, CO2, CO, N2O and SF6 dry air molar fraction vertical profiles over the Pantanal, Mato Grosso do Sul, Brazil with air sampled using small aircraft and analysed at Laboratório de Gases de Efeito Estufa (LAGEE), Sao Jose dos Campos, Brazil.\r\n\r\nThe air was sampled during ascent of small airplane from 4.4 km above surface down to close to the ground. A series of flasks (17 flasks) were filled sequentially. The flasks were contained in a suitcase. Valves of the flasks were opened and closed by a programmable microcontroller. After sampling the suitcase were sent by mail to the high precision gas analytics laboratory LAGEE at Instituto Nacional de Pesquisas Espaciais (INPE), Sao Jose dos Campos, Brazil where the dry air molar fractions of the air of each flask were measured.\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, greenhouse gas, dry air, NERC", "publicationState": "citable", "dataPublishedTime": "2021-03-08T11:25:13", "doiPublishedTime": "2021-03-08T14:17:47.982561", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32181/?format=api", "dataPath": "/badc/moya/data/aircraft/pantanal-greenhouse", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 120756, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8821/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2731/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89136/?format=api" ], "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10810/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168397/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32180/?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": 32182, "uuid": "8c0db6a995214523a38d4e2ef2124781", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Llanos de Moxos, Bolivia", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Llanos de Moxos, Bolivia. The samples were analysed by Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nDate of campaign:\r\n-31 Mar 2017, location: -15.024 -64.811, Low to medium forest, with heights up to 7-8 meters, seasonally flooded\r\n-26 May 2017, location: -14.572 -64.869, Open savanah, ocassionally flooded, with palms and scattered trees\r\n-13 July 2017, location: -14.49 -64.86, Open savanah covered by grasses and herbs\r\n-20 Aug 2017, location: -14.49 -64.86, Open savanah covered by grasses and herbs\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "citable", "dataPublishedTime": "2021-03-08T11:16:13", "doiPublishedTime": "2021-03-08T14:18:12.625233", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32183/?format=api", "dataPath": "/badc/moya/data/stations/llanos-de-moxos", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8945, "numberOfFiles": 5, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8822/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2732/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55129/?format=api" ], "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10811/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168399/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32184/?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": 32185, "uuid": "371695923931472b8cf415725b12f449", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Pantanal research station Universidade Federal de Mato Grosso do Sul (UFMS)", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Pantanal research station Universidade Federal de Mato Grosso do Sul (UFMS). The samples were analysed by Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "citable", "dataPublishedTime": "2021-03-08T11:10:15", "doiPublishedTime": "2021-03-08T14:18:29.414458", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32186/?format=api", "dataPath": "/badc/moya/data/stations/pantanal-ufms", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6478, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8823/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2733/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55157/?format=api" ], "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10812/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143111/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32184/?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": 32187, "uuid": "b25cad50e3a0472098672264b12b20b1", "title": "APHH: Photolysis rate measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains photolysis rate measurements made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Photolysis rates are derived from the product of the absorption cross-section of the precursor molecule, the quantum yield of the photo-product and the actinic flux density (cm-2s-1nm-1). The actinic flux is measured between 280 - 650 nm (<1 nm resolution) using a Ocean Optics spectral radiometer attached to a quartz receiver optic. Data is averaged to 1 minute time-stamp.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.", "keywords": "APHH, Delhiflux,photolysis", "publicationState": "published", "dataPublishedTime": "2021-02-26T15:41:03", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32188/?format=api", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-specrad/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17957248, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8824/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2612/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30221/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32625/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143122/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32190/?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": 32191, "uuid": "0db7bf6c11284ca2a6177b85c875364a", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 05.3", "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 v05.3 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. 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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 v05.3 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 is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. 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 website.\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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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, SMOS and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v05.3 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 2020-12-31. 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 website.\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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The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v05.3 PASSIVE 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 2020-12-31. 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 website.\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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site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset includes black carbon mass and number concentrations measurements performed by the University of Manchester with a Single Particle Soot Photometer (SP2) made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.", "keywords": "APHH, Delhiflux, organic aerosols", "publicationState": "published", "dataPublishedTime": "2021-03-16T09:55:05", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32221/?format=api", "dataPath": "/badc/aphh/data/delhi/delhiflux/man-sp2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 493295, "numberOfFiles": 4, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8830/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2612/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/87076/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30221/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32625/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143286/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32222/?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": 32224, "uuid": "be40716c1036498cb6b16b0ef25c5535", "title": "ESA Cloud Climate Change Initiative (Cloud_cci): Obs4MIPs format monthly gridded cloud products from ATSR2 and AATSR, version 3", "abstract": "This dataset provides a version of the Cloud_cci ATSR2-AATSRv3 monthly gridded dataset in Obs4MIPs format. 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). \r\n\r\nThis dataset is based on measurements taken by the Along-Track Scanning Radiometer (ATSR-2) on-board the European Remote Sensing Satellite -2 (ERS-2), and by the Advanced Along-Track Scanning Radiometer (AATSR) on-board the Environmental Satellite (Envisat). It contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval framework. \r\n\r\nThis particular Obs4MIPS product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons. \r\n\r\nIndividual files are provided covering seven cloud variables:\r\nCloud area fraction in atmospheric layer (clCCI);\r\nAtmospheric cloud ice content (clivi);\r\nCloud area fraction (cltCCI);\r\nLiquid water cloud area fraction in atmospheric layer(clwCCI);\r\nLiquid water cloud area fraction (clwtCCI);\r\nAtmosphere mass content of cloud condensed water (clwvi);\r\nAir pressure at cloud top (pctCCI)", "keywords": "cloud, CCI, obs4mips", "publicationState": "citable", "dataPublishedTime": "2021-04-29T15:45:16", "doiPublishedTime": "2021-04-29T15:57:34", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32234/?format=api", "dataPath": "/neodc/esacci/cloud/data/obs4MIPs/DWD/ESACCI-CLOUD-ATSR2-AATSR-3-0/mon/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7568311564, "numberOfFiles": 134, "fileFormat": "Data are in NetCDF format. Data has been formatted according to Obs4MIPs specifications" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8832/?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/7795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?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/54333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69546/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \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. This version of the data has been produced for submission to Obs4MIPS.\r\n\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", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10862/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143353/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32286/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2524/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_cloud_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32232, "uuid": "b28633ddc0f44d77a6aa81ad7bd66285", "title": "INCOMPASS: India Meteorology Department Doppler radar convective cell statistics v2", "abstract": "This dataset contains radar-derived measurements of cell-top height, size, 2 km reflectivity, and cell latitude and longitude from all convective cells between 14 May and 30 September 2016, where radar is available. The data was collected as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign.\r\n\r\nThe seven sites analysed here represent four different Indian climate regions, allowing the study of the spatiotemporal development of convection during the 2016 monsoon season at high (1 km) resolution. Variation in these different cell statistics are found over timescales of variability such as the diurnal cycle, active-break periods, and monsoon progression.\r\n\r\nThe updated radar-derived cell statistics here have been corrected from the previous version by removing all convective cells that touch the outer edge of the radar domain.\r\n\r\nThe data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales.", "keywords": "NERC, INCOMPASS, monsoon, radar, cells", "publicationState": "citable", "dataPublishedTime": "2021-03-11T14:40:22", "doiPublishedTime": "2021-11-02T11:44:36", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32233/?format=api", "dataPath": "/badc/sa-monsoon/data/incompass/v2-convective-cells", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 58170164, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8732/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2703/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64836/?format=api" ], "dataLineage": "Data were processed by the data provider and delivered 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/10960/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19201/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/20240/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143343/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/31867/?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": 32235, "uuid": "ff5f152a3f194ab1be33543f291e65cd", "title": "ESA Cloud Climate Change Initiative (Cloud_cci): Obs4MIPs format monthly gridded cloud products from AVHRR (AVHRR-AM), version 3", "abstract": "This dataset provides a version of the Cloud_cci AVHRR-AMv3 monthly gridded dataset in Obs4MIPs format. The Cloud_cci AVHRR-AMv3 dataset (covering 1991-2016) 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). \r\n\r\nThis dataset is based on intercalibrated measurements from the Advanced Very High Resolution Radiometer (AVHRR) sensors on-board the NOAA prime morning (AM) satellite NOAA-12,-15,-17, and the EUMETSAT Metop-A satellite. It contains a multi-annual, global dataset of cloud and radiation properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval framework. \r\n\r\nThis particular Obs4MIPS product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons. \r\n\r\nIndividual files are provided covering seven cloud variables:\r\nCloud area fraction in atmospheric layer (clCCI);\r\nAtmospheric cloud ice content (clivi);\r\nCloud area fraction (cltCCI);\r\nLiquid water cloud area fraction in atmospheric layer(clwCCI);\r\nLiquid water cloud area fraction (clwtCCI);\r\nAtmosphere mass content of cloud condensed water (clwvi);\r\nAir pressure at cloud top (pctCCI)", "keywords": "cloud, CCI, obs4mips", "publicationState": "citable", "dataPublishedTime": "2021-04-22T17:17:58", "doiPublishedTime": "2021-04-29T15:58:49", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32236/?format=api", "dataPath": "/neodc/esacci/cloud/data/obs4MIPs/DWD/ESACCI-CLOUD-AVHRR-AM-3-0/mon/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13879586305, "numberOfFiles": 190, "fileFormat": "Data are in NetCDF format. Data has been formatted according to Obs4MIPs specifications." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8833/?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/7795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?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/54333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69546/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\n\r\nThe data in this dataset are a subset of the AVHRR-AM L3C / L3U cloud products version 3.0 dataset produced by the ESA Cloud_cci project available from https://dx.doi.org/doi:10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V003. This version of the data has been produced for submission to Obs4MIPs\r\n\r\nTo 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-AM L3C/L3U CLD_PRODUCTS v3.0, Deutscher Wetterdienst (DWD), DOI:10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V003.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10863/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143379/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32293/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2524/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_cloud_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32237, "uuid": "919157930d7447caac6d42e84e377289", "title": "ESA Cloud Climate Change Initiative (Cloud_cci): Obs4MIPs format monthly gridded cloud products from AVHRR (AVHRR-PM), version 3", "abstract": "This dataset provides a version of the Cloud_cci AVHRR-PMv3 monthly gridded dataset in Obs4MIPs format. The Cloud_cci AVHRR-PMv3 dataset (covering 1982-2016) 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). \r\n\r\nThis dataset is based on intercalibrated measurements from the Advanced Very High Resolution Radiometer (AVHRR) sensors on-board the NOAA prime afternoon (PM) satellite NOAA-7,-9,11,-14,-16,-18,-19 satellites. It contains a multi-annual, global dataset of cloud and radiation properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval framework. \r\n\r\nThis particular Obs4MIPS product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons. \r\n\r\nIndividual files are provided covering seven cloud variables:\r\nCloud area fraction in atmospheric layer (clCCI);\r\nAtmospheric cloud ice content (clivi);\r\nCloud area fraction (cltCCI);\r\nLiquid water cloud area fraction in atmospheric layer(clwCCI);\r\nLiquid water cloud area fraction (clwtCCI);\r\nAtmosphere mass content of cloud condensed water (clwvi);\r\nAir pressure at cloud top (pctCCI)", "keywords": "cloud, CCI, obs4mips", "publicationState": "citable", "dataPublishedTime": "2021-04-22T17:17:45", "doiPublishedTime": "2021-04-29T16:00:00", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32238/?format=api", "dataPath": "/neodc/esacci/cloud/data/obs4MIPs/DWD/ESACCI-CLOUD-AVHRR-PM-3-0/mon/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20697306221, "numberOfFiles": 253, "fileFormat": "Data are in NetCDF format. They have been formatted according to Obs4MIPs specifications." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8834/?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/7795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?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/54333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69546/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \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. This version of the dataset has been produced in Obs4MIPs format.\r\n\r\n 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.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10864/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143394/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32294/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2524/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_cloud_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32239, "uuid": "1562578dd07844f19f01f0db9366106d", "title": "ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Time series of global mean sea level budget and ocean mass budget elements (1993-2016, at monthly resolution), version 2.1", "abstract": "This dataset is a compilation of time series, together with uncertainties, of the following elements of the global mean sea level budget and ocean mass budget:\r\n(a) global mean sea level\r\n(b) the steric contribution to global mean sea level, that is, the effect of ocean water density change, which is dominated, on a global average, by thermal expansion\r\n(c) the mass contribution to global mean sea level\r\n(d) the global glaciers contribution (excluding Greenland and Antarctica)\r\n(e) the Greenland Ice Sheet and Greenland peripheral glaciers contribution\r\n(f) the Antarctic Ice Sheet contribution\r\n(g) the contribution from changes in land water storage (including snow cover).\r\n\r\nThe compilation is a result from the Sea-level Budget Closure (SLBC_cci) project conducted in the framework of ESA’s Climate Change Initiative (CCI). It provides assessments of the global mean sea level and ocean mass budgets. Assessment of the global mean sea level budget means to assess how well (a) agrees, within uncertainties, to the sum of (b) and (c) or to the sum of (b), (d), (e), (f) and (g). Assessment of the ocean mass budget means to assess how well (c) agrees to the sum (d), (e), (f) and (g).\r\n\r\nAll time series are expressed in terms of anomalies (in millimetres of equivalent global mean sea level) with respect to the mean value over the 10-year reference period 2006-2015. \r\nThe temporal resolution is monthly. The temporal range is from January 1993 to December 2016. Some time series do not cover this full temporal range. All time series are complete over the temporal range from January 2003 to August 2016.\r\n\r\nFor some elements, more than one time series are given, as a result of different assessments from different data sources and methods.\r\n\r\nData and methods underlying the time series are as follows:\r\n(a) satellite altimetry analysis by the Sea Level CCI project.\r\n(b) a new analysis of Argo drifter data with incorporation of sea surface temperature data; an alternative time series consists in an ensemble mean over previous global mean steric sea level anomaly time series.\r\n(c) analysis of monthly global gravity field solutions from the Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry mission.\r\n(d) results from a global glacier model.\r\n(e) analysis of satellite radar altimetry over the Greenland Ice Sheet, amended by results from the global glacier model for the Greenland peripheral glaciers; an alternative time series consists of results from GRACE satellite gravimetry.\r\n(f) analysis of satellite radar altimetry over the Antarctic Ice Sheet; an alternative time series consists of results from GRACE satellite gravimetry.\r\n(g) results from the WaterGAP global hydrological model.", "keywords": "sea level budget closure, ESA, CCI", "publicationState": "citable", "dataPublishedTime": "2021-04-06T12:56:59", "doiPublishedTime": "2021-04-16T14:18:27", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32271/?format=api", "dataPath": "/neodc/esacci/sea_level_budget_closure/data/timeseries_slb_elements/v2.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 114122, "numberOfFiles": 2, "fileFormat": "Data are in BADC-CSV format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8835/?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/67643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67655/?format=api", 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Measurements were made at the Indian Institute of Technology Delhi (IIT-Delhi), India. Mixing ratios are reported in parts per billion (ppb). 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Sentinel 3B was launched on the 25th of April 2018. These level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user.", "keywords": "Sentinel, Synthetic Aperture Radar Altimeter, SRAL", "publicationState": "published", "dataPublishedTime": "2022-05-09T08:44:08", "doiPublishedTime": null, "updateFrequency": "continual", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32266/?format=api", "dataPath": "/neodc/sentinel3b/data/SRAL/L1_SRA/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1231521483425, "numberOfFiles": 60298, "fileFormat": "Data are provided by ESA in zipped SAFE format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8994/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected and prepared by European Space Agency (ESA). 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This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX imager.\r\n\r\nData were collected over the Grosseto, Italy area.", "keywords": "HyTES19, HyTES19, aircraft, hyperspectral, remote sensing", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32273/?format=api", "dataPath": "/neodc/arsf/2019/HyTES19/HyTES19-2019_168_Grosseto", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 116699790969, "numberOfFiles": 110, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8854/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2742/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected and processed by the NERC-ARF facility 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/32270/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143665/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32274/?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": 32277, "uuid": "d555c81c6f08490984b2822d733d1661", "title": "NERC-ARF Flight 2019_169 - for HyTES19: Airborne remote sensing measurements", "abstract": "Airborne remote sensing measurements collected on 18 June 2019 onboard the Natural Environment Research Council Airborne Research Facility (NERC-ARF) Dornier Do228-101 D-CALM Aircraft for the NET-Sense - joint NASA ESA Temperature Sensing Experiment (HyTES19) project (flight reference: 2019_169). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX imager.\r\n\r\nData were collected over the Grosseto, Italy area.", "keywords": "HyTES19, HyTES19, aircraft, hyperspectral, remote sensing", "publicationState": "published", "dataPublishedTime": "2021-04-23T11:01:33", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32278/?format=api", "dataPath": "/neodc/arsf/2019/HyTES19/HyTES19-2019_169_Grosseto", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 173035767130, "numberOfFiles": 343, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8855/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2743/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected and processed by the NERC-ARF facility 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/32270/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143682/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32279/?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": 32283, "uuid": "c8b4b03778b145f79facce0af21237cb", "title": "Landsat 5 Thematic Mapper (TM) data", "abstract": "The Landsat Thematic Mapper (TM) sensor was carried onboard Landsats 4 and 5 from July 1982 to May 2012 with a 16-day repeat cycle, referenced to the Worldwide Reference System-2. Very few images were acquired from November 2011 to May 2012. The satellite began decommissioning activities in January 2013.\r\n\r\nThe Thematic Mapper (TM) is an advanced, multispectral scanning, Earth resources sensor designed to achieve higher image resolution, sharper spectral separation, improved geometric fidelity, and greater radiometric accuracy and resolution than the Multispectral Scanner (MSS) sensor. TM data are sensed in seven spectral bands simultaneously. A TM scene has an Instantaneous Field Of View (IFOV) of 30m x 30m in bands 1-5 and 7 while band 6 has an IFOV of 120m x 120m on the ground (band 6 was collected at 120 meters, but was resampled to 30 meters). Band 6 senses thermal (heat) infrared radiation. Landsat can only acquire night scenes in band 6. The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).", "keywords": "Landsat, USGS, NASA, TM", "publicationState": "published", "dataPublishedTime": "2021-07-07T12:59:07", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32282/?format=api", "dataPath": "/neodc/landsat5/data/TM/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 910781409269, "numberOfFiles": 25647, "fileFormat": "These data are provided by NASA/USGS in GeoTIFF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9020/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?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/8334/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145829/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32709/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2648/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/USGS_Copyright_Policy.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32295, "uuid": "f5ffbd016e6b44858a33ae38ed2a149e", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 06.1", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of 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, SMOS, SMAP, FY-3B and GPM satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v06.1 PASSIVE 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 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using 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", "keywords": "ESA, CCI, Passive, Soil Moisture", "publicationState": "published", "dataPublishedTime": "2021-04-19T15:36:01", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32313/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v06.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15182338233, "numberOfFiles": 15403, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8831/?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/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/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", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?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", "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/32299/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143743/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32307/?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": 1140, "name": "ESACCI" } ] }, { "ob_id": 32296, "uuid": "43d73291472444e6b9c2d2420dbad7d6", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.1", "abstract": "The Soil Moisture CCI COMBINED dataset is one of 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, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v06.1 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 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using 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", "keywords": "ESA, Soil Moisture, CCI, Combined", "publicationState": "published", "dataPublishedTime": "2021-04-19T15:41:14", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32311/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v06.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17966772658, "numberOfFiles": 15403, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8826/?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/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20630/?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", "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/32299/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143763/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32309/?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": 1140, "name": "ESACCI" } ] }, { "ob_id": 32297, "uuid": "c2af8764c84744de87a69db7fecf7af9", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 06.1", "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 v06.1 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 is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using 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", "keywords": "ESA, Soil Moisture, CCI, Active", "publicationState": "published", "dataPublishedTime": "2021-04-19T15:39:47", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32312/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v06.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8895156913, "numberOfFiles": 10743, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8825/?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/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20630/?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", "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/32299/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143783/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32300/?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": 1140, "name": "ESACCI" } ] }, { "ob_id": 32298, "uuid": "c3bd175b6ed64020b439eb08ed9c8fc2", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 06.1", "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 v06.1 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which these data were used to develop are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B, GPM 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 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", "keywords": "ESA, Soil Moisture, CCI, Ancillary", "publicationState": "published", "dataPublishedTime": "2021-04-19T15:37:29", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32314/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v06.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1558698, "numberOfFiles": 6, "fileFormat": "Data are in NetCDF format" }, "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", "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/32299/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143803/?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": 32310, "uuid": "3bfe0c2d51544f72837a99306a74e359", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Experimental Break-Adjusted COMBINED Product, Version 06.1", "abstract": "An experimental break-adjusted soil-moisture product has been generated by the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project for the first time with their v06.1 data release. The product attempts to reduce breaks in the final CCI product by matching the statistics of the datasets between merging periods. At v06.1, the break-adjustment process (explained in Preimesberger et al. 2020) is applied only to the COMBINED product, using ERA5 soil moisture as a reference. The Soil Moisture CCI COMBINED dataset is one of 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, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v06.1 COMBINED break-adjusted 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 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document and Preimesberger et al. 2020. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all 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. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI, Combined", "publicationState": "published", "dataPublishedTime": "2021-04-19T15:35:11", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32347/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/break_adjusted_COMBINED/v06.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13058542122, "numberOfFiles": 15403, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8826/?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/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/20630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/33003/?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", "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/32299/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143860/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32309/?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": 1140, "name": "ESACCI" } ] }, { "ob_id": 32320, "uuid": "2e1a4658858d4c678d861bd84e120e57", "title": "NERC-ARF Flight 2019_171a - for HyTES19: Airborne remote sensing measurements", "abstract": "Airborne remote sensing measurements collected on 20 June 2019 by the Natural Environment Research Council Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter Aircraft for the NET-Sense - joint NASA ESA Temperature Sensing Experiment (HyTES19) project (flight reference: 2019_171a). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX imager.\r\n\r\nData were collected over the Grosseto, Italy area.", "keywords": "HyTES19, HyTES19, aircraft, hyperspectral, remote sensing", "publicationState": "published", "dataPublishedTime": "2021-04-23T11:01:08", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32321/?format=api", "dataPath": "/neodc/arsf/2019/HyTES19/HyTES19-2019_171a_Grosseto", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 62292355647, "numberOfFiles": 174, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8862/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2745/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected and processed by the NERC-ARF facility 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/32270/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143892/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/32322/?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": 32324, "uuid": "6cd2bd9bf3e143009a7df234e4a8f55c", "title": "SG-WEx: Unified Model output for January 2015 over South Georgia, with island orography included (run: u-ag477)", "abstract": "This dataset contains modelling output from the u-ag477 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period January 2015 with the island orography included. See related dataset for output from a complementary run with a flat orography file for the island for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). 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HadISDH-land is a near-global gridded monthly mean land surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from weather stations. The observations have been quality controlled and homogenised. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2020. \r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the 4.2.0.2019f version to the end of 2020 and constitutes a minor update to HadISDH due to changing some of the code base from IDL and Python 2.7 to Python 3, detecting and fixing a bug in the process, and retrieving the missing April 2015 station data. These have led to small changes in regional and global average values and coverage. All other processing steps for HadISDH remain identical. Users are advised to read the update document in the Docs section for full details.\r\n\r\nAs in previous years, the annual scrape of NOAAs Integrated Surface Dataset for HadISD.3.1.2.202101p, which is the basis of HadISDH.land, has pulled through some historical changes to stations. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. 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HadISDH-blend is a near-global gridded monthly mean surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships and weather stations. The observations have been quality controlled and homogenised / bias adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2020.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the 1.0.0.2019f version to the end of 2020. It combines HadISDH.land.4.3.1.2020f and HadISDH.marine.1.1.0.2020f and therefore their respective update notes. Users are advised to read the update documents in the Docs section for full details.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. International Journal of Climatology.\r\ndoi:10.1002/joc.4775.\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. 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The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD12Q1\n\n\n\n\n\nThe MODIS Land Cover Type product contains multiple classification schemes, which describe land cover properties derived from observations spanning a year's input of Terra and Aqua data. The primary land cover scheme identifies 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP), which includes 11 natural vegetation classes, 3 developed and mosiacked land classes, and three non-vegetated land classes.\n\nThe MODIS Terra + Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid product incorporates five different land cover classification schemes, derived through a supervised decision-tree classification method:\n\nLand Cover Type 1: IGBP global vegetation classification schemeLand Cover Type 2: University of Maryland (UMD) schemeLand Cover Type 3: MODIS-derived LAI/fPAR schemeLand Cover Type 4: MODIS-derived Net Primary Production (NPP) schemeLand Cover Type 5: Plant Functional Type (PFT) scheme\n\nAdditional layers include a Land Cover Type Assessment SDS, a Land Cover Percent SDS, and a Land Cover Quality Control SDS.\n\nCollection 5.1 Land Cover Type products are produced with revised training data and certain algorithm refinements. For further details, please consult the following paper:\n\nFriedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., andHuang, X. (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168-182.\n\nShortname: MCD12Q1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: annual , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE41 , File Naming Convention: MCD12Q1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf AAYYYYDDD = Acquisition Year and Day of Year hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Mark Friedl, Damien Sulla-Menashe - Boston University and MODAPS SIPS - NASA. (2015). MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid. 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The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD15A2H\n\n\n\n\n\nThe level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 1-kilometer resolution on a Sinusoidal grid. Science Data Sets provided in the MCD15A2H include LAI, FPAR, a quality assurance rating, and standard deviation for each variable.\n\nThe LAI variable defines the number of equivalent layers of leaves relative to a unit of ground area, whereas FPAR measures the proportion of available radiation in the photosynthetically active wavelengths that are absorbed by a canopy. Both variables are used as satellite-derived parameters for calculating surface photosynthesis, evapotranspiration, and net primary production, which in turn are used to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation.\n\nCollection-5 MODIS Combined Terra and Aqua LAI products are Validated Stage 2, accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Collection-5 MODIS/Terra FPAR products are Validated Stage 1, meaning that accuracy has been estimated using a small number of independent measurements obtained from selected locations and time periods and ground-truth/field program efforts. Although there may be later improved versions, these data are ready for use in scientific publications.\n\nShortname: MCD15A2H , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-4 , Spatial Resolution: 500 m , Temporal Resolution: 8 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE34 , File Naming Convention: MCD15A2H.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Ranga Myneni, Knyazikhin, Yuri, Taejin Park - Boston University and MODAPS SIPS - NASA. (2015). MOD15A2H MODIS/Combined Terra+Aqua Leaf Area Index/FPAR Daily L4 Global 500m SIN Grid. 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The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD19A2\n\n\n\n\n\nMCD19A2 is the shortname for the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm-based Level-2 gridded (L2G) aerosol optical thickness over land surfaces product. Derived using both Terra and Aqua MODIS inputs, this L2 product is produced daily at 1 km pixel resolution. This product helps generate a number of atmospheric and geometric properties/parameters that are used to produce another facet of the MAIAC algorithm: the land surface Bidirectional Reflectance Factor.\n\nThe MCD19A2 product contains two data groups with the following Science Data Set parameters:\n\nGrid500m groupAerosol Optical Depth at 047 micronAerosol Optical Depth at 055 micronAOD Uncertainty at 047 micronFine-Mode Fraction for OceanColumn Water Vapor in cm liquid waterAOD QAAOD Model (Regional background model used)Injection Height (Smoke injection height over local surface height)Grid5km groupCosine of Solar Zenith AngleCosine of View Zenith AngleRelative Azimuth AngleScattering AngleGlint Angle\n\nThe MCD19A2 product has achieved Stage-3 validation.\n\nShortname: MCD19A2 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-2 Tiled , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE113 , File Naming Convention: MCD19A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Alexi Lyapustin - NASA GSFC, Yujie Wang - Univeristy of Maryland Baltimore County and MODAPS SIPS - NASA. (2015). MCD19A2 MODIS/Terra+Aqua Aerosol Optical Thickness Daily L2G Global 1km SIN Grid. 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The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD43A1\n\n\n\n\n\nThe MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods.\n\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.\n\nNote that the V006 MODIS MCD43 products are retrieved daily and represent the best BRDF possible based on 16 days worth of inputs with the day of interest emphasized. Unlike the earlier reprocessed versions (where the date of the product signifies the first day of the retrieval period), and the Direct Broadcast version (where the date signifies the last day of the retrieval period), the date associated with each daily V006 retrieval is the center of the moving 16 day input window. This change is in response to user requests.\n\nVersion-5 MODIS BRDF & Albedo products have attained Validation Stage 3.\n\nShortname: MCD43A1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE23 , File Naming Convention: MCD43A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Crystal Schaaf - University of Massachusetts Boston, Zhuosen Wang - NASA GSFC and MODAPS SIPS - NASA. (2015). MCD43A1C MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD43A1C.006 , Keywords: Climate Change, Albedo, Reflectance ", "keywords": "Climate Change, Albedo, Reflectance ", "publicationState": "published", "dataPublishedTime": "2021-04-15T14:04:46.656735", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32384/?format=api", "dataPath": "/neodc/modis/data/MCD43A1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 132336001274763, "numberOfFiles": 1865358, "fileFormat": "HDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8886/?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/64760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64798/?format=api" ], "dataLineage": "Data were downloaded from https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/ to support UK research groups, especially NCEO.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10829/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/10895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/10904/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/10892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144190/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/10908/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2557/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://modaps.modaps.eosdis.nasa.gov/services/faq/LAADS_Data-Use_Citation_Policies.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32385, "uuid": "cf8e3e801a114979a160e809deb5cc9f", "title": "MCD43A2 - MODIS/Terra+Aqua BRDF/Albedo Quality Daily L3 Global - 500m", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD43A2\n\n\n\n\n\nThe MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Quality product (MCD43A2) describes the overall condition of the other BRDF and Albedo products. The MCD43A2 product contains 16 days of data at 500 meter spatial resolution provided in a level-3 gridded data set in Sinusoidal projection, and includes albedo quality assurance, snow conditions, ancillary information, and inversion information.\n\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.\n\nNote that the V006 MODIS MCD43 products are retrieved daily and represent the best BRDF possible based on 16 days worth of inputs with the day of interest emphasized. Unlike the earlier reprocessed versions (where the date of the product signifies the first day of the retrieval period), and the Direct Broadcast version (where the date signifies the last day of the retrieval period), the date associated with each daily V006 retrieval is the center of the moving 16 day input window. This change is in response to user requests.\n\nVersion-5 MODIS BRDF & Albedo products have attained Validation Stage 3.\n\nShortname: MCD43A2 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE23 , File Naming Convention: MCD43A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Crystal Schaaf - University of Massachusetts Boston, Zhuosen Wang - NASA GSFC and MODAPS SIPS - NASA. (2015). MCD43A2C MODIS/Terra+Aqua BRDF/Albedo Quality Daily L3 Global - 500m. 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The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD43A3\n\n\n\n\n\nThe MODerate-resolution Imaging Spectroradiometer (MODIS) Albedo product (MCD43A3) provides 500-meter data describing both directional hemispherical reflectance (black-sky albedo) and bihemispherical reflectance (white-sky albedo). The MCD43A3 product contains 16 days of data provided in a level-3 gridded data set in Sinusoidal projection.\n\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.\n\nNote that the V006 MODIS MCD43 products are retrieved daily and represent the best BRDF possible based on 16 days worth of inputs with the day of interest emphasized. Unlike the earlier reprocessed versions (where the date of the product signifies the first day of the retrieval period), and the Direct Broadcast version (where the date signifies the last day of the retrieval period), the date associated with each daily V006 retrieval is the center of the moving 16 day input window. This change is in response to user requests.\n\nVersion-5 MODIS BRDF & Albedo products have attained Validation Stage 3.\n\nShortname: MCD43A3 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE23 , File Naming Convention: MCD43A3.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Crystal Schaaf - University of Massachusetts Boston, Zhuosen Wang - NASA GSFC and MODAPS SIPS - NASA. (2015). MCD43A3 MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global - 500m. 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Combined Level 3 Direct Broadcast Burned Area Monthly Global 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD64A1\n\n\n\n\n\nMCD64A1 Burned Area Product is a monthly Level-3 gridded 500-meter product containing per-pixel burning and quality information, and tile-level metadata.\n\nThe MODIS Collection 6 burned-area mapping approach employs daily 500-m MODIS surface reflectance data coupled with 1-km MODIS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive vegetation index derived from MODIS short-wave infrared channels 5 and 7, and a measure of temporal texture. Cumulative active fire maps are used to guide the selection of burned and unburned training samples and to guide the specification of prior probabilities. The combined use of active-fire and reflectance data enables the algorithm to adapt regionally over a wide range of pre- and post-burn conditions and across multiple ecosystems.\n\nShortname: MCD64A1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: monthly , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE134 , File Naming Convention: MCD64A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Keywords: Climate Change, Fires, Wildfires ", "keywords": "Climate Change, Fires, Wildfires ", "publicationState": "published", "dataPublishedTime": "2021-04-15T14:05:13.490174", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32390/?format=api", "dataPath": "/neodc/modis/data/MCD64A1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 99084227056, "numberOfFiles": 51466, "fileFormat": "HDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8889/?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/64734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64739/?format=api" ], "dataLineage": "Data were downloaded from https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/ to support UK research groups, especially NCEO.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10832/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/10895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/10904/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/10892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144217/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/10908/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2557/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://modaps.modaps.eosdis.nasa.gov/services/faq/LAADS_Data-Use_Citation_Policies.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32391, "uuid": "55aa94abf6bf40fab87143f24849ac89", "title": "MOD021KM - Level 1B Calibrated Radiances - 1km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD021KM\n\n\n\n\n\n\"The MODIS Level-1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 µm to 14.4 µm region of the electromagentic spectrum. These data are generated from MODIS Level-1A scans of raw radiance, and in the process are converted to geophysical units of W/(m2µm sr). In addition, the Bidirectional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data.\n\nVisible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously.\n\nThe resolution of channels 1 and 2 is 250 m, channels 3 through 7 are 500m resolution, and the rest are 1 km resolution. However, for the MODIS L1B 1 km product, the 250 m and 500 m band radiance data and their associated uncertainties have been aggregated to 1 km resolution. Thus, the entire channel data set is referenced to the same spatial and geolocation scales. Separate L1B products are available for just the 250 m channels (MOD02QKM) and the 500 m channels (MOD02HKM) that preserve the original resolution of the data.\n\nSpatial resolution for pixels at nadir is 1 km, degrading to 4.8 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and the respective pixels there, the resulting resolution at the scan extremes is about 2 km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width with global coverage every one to two days. A single MODIS Level-1B granule will nominally contain a scene built from 203 scans (or swaths) sampled 1354 times in the cross-track direction, corresponding to approximately 5 minutes worth of data. Since an individual MODIS scan (or swath) will contain 10 along-track spatial elements, the scene will be composed of 1354 by 2030 pixels, resulting in a spatial coverage of 2330 km by 2030 km. Due to the MODIS scan geometry, there will be increasing overlap occurring beyond about a 25 degree scan angle.\n\nUsers requiring the full-resolution geolocation and solar/satellite geometry can obtain the separate MODIS Level-1 Geolocation product (MOD03) from LAADS.\"\n\nShortname: MOD021KM , Platform: Terra , Instrument: MODIS , Processing Level: Level-1B , Spatial Resolution: 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE02 , File Naming Convention: MOD021KM.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf AYYYYDDD = Acqusition Year and Day of Year HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time YYYYDDD = Year and Day of Year of acquisition , Citation: MODIS Characterization Support Team (MCST), 2017. MODIS 1km Calibrated Radiances Product. 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MODIS/Terra Aerosol 5-Min L2 Swath 10km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD04_L2\n\n\n\n\n\n\"The MODIS Aerosol Product monitors the ambient aerosol optical thickness over the oceans globally and over a portion of the continents. Further, the aerosol size distribution is derived over the oceans, and the aerosol type is derived over the continents. Daily Level-2 data are produced at the spatial resolution of a 10x10 1-km pixel array (at nadir).\n\nPrior to MODIS, satellite measurements were limited to reflectance measurements in one (GOES, METEOSAT) or two (AVHRR) channels. There was no real attempt to retrieve aerosol content over land on a global scale. Algorithms had been developed for use only over dark vegetation. The blue channel on MODIS, not present on AVHRR, offers the possibility to extend the derivation of optical thickness over land to additional surfaces. The algorithms use MODIS bands 1 through 7 and 20 and require prior cloud screening using MODIS data. Over the land, the dynamic aerosol models are derived from ground-based sky measurements and used in the net retrieval process.\n\nOver the ocean, three parameters that describe the aerosol loading and size distribution are retrieved. Pre-assumptions on the general structure of the size distribution are required in the inversion of MODIS data, and the volume-size distribution is described with two log-normal modes: a single mode to describe the accumulation mode particles (radius < 0.5 µm) and a single coarse mode to describe dust and/or salt particles (radius > 1.0 µm).\n\nThe quality assurance control of these products will be based on comparison with ground stations and climatology.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates. \"\n\nShortname: MOD04_L2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 10 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE04 , File Naming Convention: MOD04_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Levy, R., Hsu, C., et al., 2015. MODIS Atmosphere L2 Aerosol Product. 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