Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=3500
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=3600", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=3400", "results": [ { "ob_id": 19462, "uuid": "39690f3052054a60b22a67b4692cbfb4", "title": "MRF A756 ACTO flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A756 for the Atmospheric Chemistry and Transport of Ozone in the upper troposphere-lower stratosphere (UTLS) (ACTO) campaign. The flight was located over the North Atlantic.\r\n\r\n\"Stratospheric Studies, with a low tropopause\r\n\r\nThe tropopause was crossed in this experiment in order to study true stratospheric air with the available instrumentation. Ozone mixing ratios of up to 400ppb were measured and the corresponding CO mixing ratios were around 30 ppb. The discrimination between the two NOy channels was quite apparent: indicating a clear presence of HNO3. PAN was just detectable in this air. \r\n\r\nOn descending back below the tropopause, at around 22,000ft, it was noted that the NOy channel, with the Rosemount inlet, was suddenly found to measure more NOy than the other NOy channel. This correlated better with a change in humidity than with the change in temperature. It has been suggested that the change in conditions causes nitrogen compounds (HNO3?) to be 'flushed off' the inlet. Suggestions have been made to change the inlet to the make it identical to the other inlet (backward facing PFA). The instruments generally worked well. There were some problems with the peroxide, as the flows were very poor, at FL270 and above, and the formaldehyde was measuring high values, thought to be due to a leak in the inlet line. The carbon monoxide instrument showed good anti-correlation with the ozone, after the first run at FL250 (when there were problems due to blockages affecting the flow to the optical filter). It was observed that the HORACE reading is high by about 15 ppb relative to the PC reading. \r\n\r\nMeteorology\r\n\r\nThe situation was dominated by a low pressure system centred over Ireland (centre pressure 1000mb). The associated low tropopause made the situation ideal for studying stratospheric chemistry with the C-130.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2016-06-13T17:07:10", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A756. Data acquired by BADC for archiving during the ACTO project.", "removedDataReason": "", "keywords": "UTLS, ACTO, Chemistry, temperature, pressure, wind", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:09:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1633, "bboxName": "", "eastBoundLongitude": -3.0, "westBoundLongitude": -10.0, "southBoundLatitude": 55.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 19546, "dataPath": "/badc/ukmo-mrf/data/a756", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 82039032, "numberOfFiles": 25, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 5109, "startTime": "2000-05-16T09:00:35", "endTime": "2000-05-16T11:23:55" }, "resultQuality": { "ob_id": 550, "explanation": "unknown.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19463, "uuid": "68755a386643475cb8a4b38416413ec6", "short_code": "acq", "title": "MRF Flight A756", "abstract": "MRF Flight A756" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42, 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14435, "uuid": "7f90dfc24c3b4ce5b4c230996dd2bf62", "short_code": "proj", "title": "UTLS-Ozone: Atmospheric Chemistry and Transport of Ozone (ACTO)", "abstract": "The Atmospheric Chemistry and Transport of Ozone in the UTLS (ACTO) was a round 2 UTLS project led by Stuart Penkett, University of East Anglia.\r\n\r\nThe objectives were:\r\n\r\nTo quantitatively assess the role of in situ chemistry and transport of stratospheric and lower tropospheric air on the ozone budget in the upper troposphere and lower stratosphere, focussing on the North Atlantic in spring and summer.\r\nQuantify the role of in-situ photochemistry (production and destruction) of ozone in layers of different composition through a combination of chemistry measurements.\r\nQuantify the sources of radical species (HOx and ROx) from photolysis of various molecules and to investigate the form and source of NOy in the UTLS region.\r\nAssess the impact of transport and mixing on the ozone budget in the UTLS through the identification of air masses each with a distinct origin and composition and to study their photo-chemical evolution in the upper troposphere and the lower stratosphere.\r\nDetermining the extent to which the existence of layering influences the chemistry of the UTLS and quantifying the impact of mixing between air masses on the photochemical activity at their interfaces.\r\n\r\nMethodology\r\nThe overall methodology was to analyse existing data, to collect new data, including that collected by some new instruments, in a part of the atmosphere rarely examined before (UTLS), and to interpret this data using a range of numerical models.\r\n\r\nData were already collected on the composition and structure of the troposphere as part of OCTA, ACSOE, and TACIA programmes, UTLS-DCFZ and EU-MAXOX during campaigns in the first half of 1999. There was an obvious progression from the objectives of the previous experiments and those of this project. Therefore analysis of the data from these programmes were valuable for the planning of the new measurement campaign, which were collected in the UTLS using the UKMO C-130 during 40 hours flying time, in the spring/summer period of the 2000. Flights were 3-6 hours and did take place in the North Atlantic off northern Britain and were predominantly in the upper troposphere (4 to 11km) with only occasional sorties into the lower stratosphere. Flights were designed to examine the chemical composition and reactivity of different air masses: boundary layer air (marine and (polluted) continental); tropical and subtropical air; upper tropospheric and lower stratospheric air; and polar air. Detailed meteorological and chemical forecast data were obtained from ECMWF, UKMO and NILU. Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. To determine the origin, composition and chemical activity of the different air masses found in the UTLS, measurements were made from a large number of tracers, ozone precursors, reactive species and photochemical products." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 79823 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 2322, "uuid": "7ca95b35d9e378c10343f2730a880549", "short_code": "coll", "title": "UTLS-Ozone ACTO: Met Research Flight (MRF) C-130 Hercules aircraft atmospheric chemistry measurements and model output collection", "abstract": "The Atmospheric Chemistry and Transport of Ozone (ACTO) in the UTLS was a round 2 UTLS (Upper Troposphere and Lower Stratosphere) project led by Stuart Penkett, University of East Anglia.\r\n\r\nThis dataset collection contains airborne atmospheric chemistry data collected by the Met Research Flight (MRF) C-130 Hercules aircraft and atmospheric chemistry output.\r\n\r\nData were already collected on the composition and structure of the troposphere as part of OCTA, ACSOE, and TACIA programmes, UTLS-DCFZ and EU-MAXOX during campaigns in the first half of 1999. There was an obvious progression from the objectives of the previous experiments and those of this project. Therefore analysis of the data from these programmes were valuable for the planning of the new measurement campaign, which were collected in the UTLS using the UKMO C-130 during 40 hours flying time, in the spring/summer period of the 2000. Flights were 3-6 hours and did take place in the North Atlantic off northern Britain and were predominantly in the upper troposphere (4 to 11km) with only occasional sorties into the lower stratosphere. Flights were designed to examine the chemical composition and reactivity of different air masses: boundary layer air (marine and (polluted) continental); tropical and subtropical air; upper tropospheric and lower stratospheric air; and polar air. Detailed meteorological and chemical forecast data were obtained from ECMWF, UKMO and NILU. Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. To determine the origin, composition and chemical activity of the different air masses found in the UTLS, measurements were made from a large number of tracers, ozone precursors, reactive species and photochemical products." } ], "responsiblepartyinfo_set": [ 73549, 73550, 73551, 73552, 73553, 73554, 73548, 73547, 73555, 73556, 73558, 73557, 73559, 73560, 73561, 73562, 73563, 73564 ], "onlineresource_set": [] }, { "ob_id": 19464, "uuid": "7067cc3779734cc0bced00015ca76521", "title": "MRF A757 ACTO flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A757 for the Atmospheric Chemistry and Transport of Ozone in the upper troposphere-lower stratosphere (UTLS) (ACTO) campaign. The flight was located over the North Atlantic.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-13T17:07:13", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A757. Data acquired by BADC for archiving during the ACTO project.", "removedDataReason": "", "keywords": "UTLS, ACTO, Chemistry, temperature, pressure, wind", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:09:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1633, "bboxName": "", "eastBoundLongitude": -3.0, "westBoundLongitude": -10.0, "southBoundLatitude": 55.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 19547, "dataPath": "/badc/ukmo-mrf/data/a757", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 87836349, "numberOfFiles": 23, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 5110, "startTime": "2000-05-19T10:24:30", "endTime": "2000-05-19T15:53:10" }, "resultQuality": { "ob_id": 550, "explanation": "unknown.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19465, "uuid": "1c760979a2194a7b89d79b670a8a4ca1", "short_code": "acq", "title": "MRF Flight A757", "abstract": "MRF Flight A757" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42, 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14435, "uuid": "7f90dfc24c3b4ce5b4c230996dd2bf62", "short_code": "proj", "title": "UTLS-Ozone: Atmospheric Chemistry and Transport of Ozone (ACTO)", "abstract": "The Atmospheric Chemistry and Transport of Ozone in the UTLS (ACTO) was a round 2 UTLS project led by Stuart Penkett, University of East Anglia.\r\n\r\nThe objectives were:\r\n\r\nTo quantitatively assess the role of in situ chemistry and transport of stratospheric and lower tropospheric air on the ozone budget in the upper troposphere and lower stratosphere, focussing on the North Atlantic in spring and summer.\r\nQuantify the role of in-situ photochemistry (production and destruction) of ozone in layers of different composition through a combination of chemistry measurements.\r\nQuantify the sources of radical species (HOx and ROx) from photolysis of various molecules and to investigate the form and source of NOy in the UTLS region.\r\nAssess the impact of transport and mixing on the ozone budget in the UTLS through the identification of air masses each with a distinct origin and composition and to study their photo-chemical evolution in the upper troposphere and the lower stratosphere.\r\nDetermining the extent to which the existence of layering influences the chemistry of the UTLS and quantifying the impact of mixing between air masses on the photochemical activity at their interfaces.\r\n\r\nMethodology\r\nThe overall methodology was to analyse existing data, to collect new data, including that collected by some new instruments, in a part of the atmosphere rarely examined before (UTLS), and to interpret this data using a range of numerical models.\r\n\r\nData were already collected on the composition and structure of the troposphere as part of OCTA, ACSOE, and TACIA programmes, UTLS-DCFZ and EU-MAXOX during campaigns in the first half of 1999. There was an obvious progression from the objectives of the previous experiments and those of this project. Therefore analysis of the data from these programmes were valuable for the planning of the new measurement campaign, which were collected in the UTLS using the UKMO C-130 during 40 hours flying time, in the spring/summer period of the 2000. Flights were 3-6 hours and did take place in the North Atlantic off northern Britain and were predominantly in the upper troposphere (4 to 11km) with only occasional sorties into the lower stratosphere. Flights were designed to examine the chemical composition and reactivity of different air masses: boundary layer air (marine and (polluted) continental); tropical and subtropical air; upper tropospheric and lower stratospheric air; and polar air. Detailed meteorological and chemical forecast data were obtained from ECMWF, UKMO and NILU. Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. To determine the origin, composition and chemical activity of the different air masses found in the UTLS, measurements were made from a large number of tracers, ozone precursors, reactive species and photochemical products." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 79823 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 2322, "uuid": "7ca95b35d9e378c10343f2730a880549", "short_code": "coll", "title": "UTLS-Ozone ACTO: Met Research Flight (MRF) C-130 Hercules aircraft atmospheric chemistry measurements and model output collection", "abstract": "The Atmospheric Chemistry and Transport of Ozone (ACTO) in the UTLS was a round 2 UTLS (Upper Troposphere and Lower Stratosphere) project led by Stuart Penkett, University of East Anglia.\r\n\r\nThis dataset collection contains airborne atmospheric chemistry data collected by the Met Research Flight (MRF) C-130 Hercules aircraft and atmospheric chemistry output.\r\n\r\nData were already collected on the composition and structure of the troposphere as part of OCTA, ACSOE, and TACIA programmes, UTLS-DCFZ and EU-MAXOX during campaigns in the first half of 1999. There was an obvious progression from the objectives of the previous experiments and those of this project. Therefore analysis of the data from these programmes were valuable for the planning of the new measurement campaign, which were collected in the UTLS using the UKMO C-130 during 40 hours flying time, in the spring/summer period of the 2000. Flights were 3-6 hours and did take place in the North Atlantic off northern Britain and were predominantly in the upper troposphere (4 to 11km) with only occasional sorties into the lower stratosphere. Flights were designed to examine the chemical composition and reactivity of different air masses: boundary layer air (marine and (polluted) continental); tropical and subtropical air; upper tropospheric and lower stratospheric air; and polar air. Detailed meteorological and chemical forecast data were obtained from ECMWF, UKMO and NILU. Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. To determine the origin, composition and chemical activity of the different air masses found in the UTLS, measurements were made from a large number of tracers, ozone precursors, reactive species and photochemical products." } ], "responsiblepartyinfo_set": [ 73569, 73570, 73571, 73572, 73573, 73574, 73575, 73568, 73576, 73577, 73578, 73579, 73580, 73581, 73582, 73583, 73584, 73585 ], "onlineresource_set": [] }, { "ob_id": 19467, "uuid": "72d4c976bd2d4dc68855976f545e03df", "title": "MRF A780 JET2000 flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path. \r\n\r\nThe Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A780 for the JET2000 project. The flight was located over Niamey, Niger.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-14T14:46:34", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A780. Data acquired by BADC for archiving during the JET2000 project.", "removedDataReason": "", "keywords": "JET2000, C-130", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:09:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1618, "bboxName": "Niamey, Niger flight", "eastBoundLongitude": 3.1254, "westBoundLongitude": 1.1254, "southBoundLatitude": 11.116, "northBoundLatitude": 15.116 }, "verticalExtent": null, "result_field": { "ob_id": 19548, "dataPath": "/badc/ukmo-mrf/data/a780", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 248801276, "numberOfFiles": 47, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 5112, "startTime": "2000-08-28T04:01:05", "endTime": "2000-08-28T15:25:05" }, "resultQuality": { "ob_id": 1161, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19468, "uuid": "6dd734d6bf5446c9a1db82f2468afe4f", "short_code": "acq", "title": "MRF Flight A780", "abstract": "MRF Flight A780" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 68 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 4559, "uuid": "b6689b15a9d2b4c205fc803ed4d63e09", "short_code": "proj", "title": "JET2000", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path.\r\n\r\nThe Objectives were:\r\n\r\n1. African Easterly Jet: To provide detailed synoptic observations of the basic state over mainland West Africa. This will focus on the AEJ and its associated temperature, humidity and PV contrasts.\r\n2. African Easterly Waves: To provide detailed synoptic observations of the AEWs over mainland tropical West Africa.\r\n3. Operational analyses and Forecasts: To assess the impact on operational analyses and forecasts of having extra observations over mainland West Africa for the period of the experiment.\r\n\r\nThe data includes detailed synoptic observations of the basic state over mainland West Africa, and detailed synoptic observations of the African Easterly Waves (AEW) over mainland tropical West Africa." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50544 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 4556, "uuid": "2ded5eab02a6df5fd400e33899a4fd73", "short_code": "coll", "title": "JET2000 Project: Airborne Measurements and Synoptic Observations of the African Easterly Jet (AEJ)", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path. \r\n\r\nThe Objectives were:\r\n\r\n1. African Easterly Jet: To provide detailed synoptic observations of the basic state over mainland West Africa. This will focus on the AEJ and its associated temperature, humidity and PV contrasts.\r\n2. African Easterly Waves: To provide detailed synoptic observations of the AEWs over mainland tropical West Africa.\r\n3. Operational analyses and Forecasts: To assess the impact on operational analyses and forecasts of having extra observations over mainland West Africa for the period of the experiment.\r\n\r\nThe data includes detailed synoptic observations of the basic state over mainland West Africa, and detailed synoptic observations of the African Easterly Waves (AEW) over mainland tropical West Africa." } ], "responsiblepartyinfo_set": [ 73610, 73611, 73613, 73614, 73615, 73616, 73617, 73612, 73618 ], "onlineresource_set": [ 15297 ] }, { "ob_id": 19470, "uuid": "b4e1cf1f398045d3ab253a5c22044892", "title": "MRF A781 JET2000 flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path. \r\n\r\nThe Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A781 for the JET2000 project. The flight was located over Niamey, Niger.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-14T14:46:40", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A781. 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For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path.\r\n\r\nThe Objectives were:\r\n\r\n1. African Easterly Jet: To provide detailed synoptic observations of the basic state over mainland West Africa. This will focus on the AEJ and its associated temperature, humidity and PV contrasts.\r\n2. African Easterly Waves: To provide detailed synoptic observations of the AEWs over mainland tropical West Africa.\r\n3. Operational analyses and Forecasts: To assess the impact on operational analyses and forecasts of having extra observations over mainland West Africa for the period of the experiment.\r\n\r\nThe data includes detailed synoptic observations of the basic state over mainland West Africa, and detailed synoptic observations of the African Easterly Waves (AEW) over mainland tropical West Africa." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50544 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 4556, "uuid": "2ded5eab02a6df5fd400e33899a4fd73", "short_code": "coll", "title": "JET2000 Project: Airborne Measurements and Synoptic Observations of the African Easterly Jet (AEJ)", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path. \r\n\r\nThe Objectives were:\r\n\r\n1. African Easterly Jet: To provide detailed synoptic observations of the basic state over mainland West Africa. This will focus on the AEJ and its associated temperature, humidity and PV contrasts.\r\n2. African Easterly Waves: To provide detailed synoptic observations of the AEWs over mainland tropical West Africa.\r\n3. Operational analyses and Forecasts: To assess the impact on operational analyses and forecasts of having extra observations over mainland West Africa for the period of the experiment.\r\n\r\nThe data includes detailed synoptic observations of the basic state over mainland West Africa, and detailed synoptic observations of the African Easterly Waves (AEW) over mainland tropical West Africa." } ], "responsiblepartyinfo_set": [ 73628, 73629, 73630, 73631, 73632, 73625, 73626, 73627, 73633 ], "onlineresource_set": [ 15298 ] }, { "ob_id": 19472, "uuid": "0ae1ce38c8ee4b6e90dbe66d9ba7c82c", "title": "MRF A782 JET2000 flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path. \r\n\r\nThe Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A782 for the JET2000 project. The flight was located over Cape Verde and Niamey, Niger.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:14:11", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A782. 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For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path.\r\n\r\nThe Objectives were:\r\n\r\n1. African Easterly Jet: To provide detailed synoptic observations of the basic state over mainland West Africa. This will focus on the AEJ and its associated temperature, humidity and PV contrasts.\r\n2. African Easterly Waves: To provide detailed synoptic observations of the AEWs over mainland tropical West Africa.\r\n3. Operational analyses and Forecasts: To assess the impact on operational analyses and forecasts of having extra observations over mainland West Africa for the period of the experiment.\r\n\r\nThe data includes detailed synoptic observations of the basic state over mainland West Africa, and detailed synoptic observations of the African Easterly Waves (AEW) over mainland tropical West Africa." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50544 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 4556, "uuid": "2ded5eab02a6df5fd400e33899a4fd73", "short_code": "coll", "title": "JET2000 Project: Airborne Measurements and Synoptic Observations of the African Easterly Jet (AEJ)", "abstract": "The African Easterly Jet (AEJ) is part of a climatic system which is of critical importance to African and global weather and climate, but is poorly observed and not well represented in model analyses. For the JET2000 project the Met Office Met Research flight (MRF) aircraft performed four flights, involving transects along and across the jet and the baroclinic zone, to make observations of unprecedented resolution for this part of the world. 110 dropsondes were dropped along the fight path. \r\n\r\nThe Objectives were:\r\n\r\n1. African Easterly Jet: To provide detailed synoptic observations of the basic state over mainland West Africa. This will focus on the AEJ and its associated temperature, humidity and PV contrasts.\r\n2. African Easterly Waves: To provide detailed synoptic observations of the AEWs over mainland tropical West Africa.\r\n3. Operational analyses and Forecasts: To assess the impact on operational analyses and forecasts of having extra observations over mainland West Africa for the period of the experiment.\r\n\r\nThe data includes detailed synoptic observations of the basic state over mainland West Africa, and detailed synoptic observations of the African Easterly Waves (AEW) over mainland tropical West Africa." } ], "responsiblepartyinfo_set": [ 73638, 73639, 73640, 73641, 73642, 73643, 73644, 73637, 73645 ], "onlineresource_set": [ 15299 ] }, { "ob_id": 19474, "uuid": "9e04c7cc0250400d8692e7afd4bda36c", "title": "MRF A772 EXPORT flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A772 for the EXPORT project. The flight was from Oberpfaffenhofen to Romania and back.\r\n\r\nAfter an uneventful pre-flight the aircraft departed just under five minutes behind schedule. There were a few tense moments when it was realised that the GPU was in danger of running out of fuel. This was replaced but it is obvious that procedures need to be put in place to eliminate this risk!\r\n\r\nDiplomatic problems were also encountered with the Romanian authorities. The DLR and MRF clearances appeared to have been muddled and at 10:56 GMT we were refused entry to the Romanian air space. MRF base sorted the problem, receiving a signal authorising clearance at 11:17 GMT. Fortunately, the intended operating area had shifted westward and a suitable region was located in eastern Hungary.\r\n\r\nThe mission scientists were happy with the polluted air, which was sampled. At the southern extent large convective cells were encountered but conditions were more stable to the North.\r\n\r\nNo major instrument problems were noted during the flight. Overall the flight was reasonably successful.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-14T14:24:21", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A772. Data acquired by BADC for archiving during the EXPORT project.", "removedDataReason": "", "keywords": "EXPORT, C-130", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:09:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1619, "bboxName": "", "eastBoundLongitude": 24.96, "westBoundLongitude": 11.386, "southBoundLatitude": 45.9432, "northBoundLatitude": 48.0808 }, "verticalExtent": null, "result_field": { "ob_id": 19551, "dataPath": "/badc/ukmo-mrf/data/a772", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44573278, "numberOfFiles": 30, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 5117, "startTime": "2000-07-31T07:37:45", "endTime": "2000-07-31T13:47:20" }, "resultQuality": { "ob_id": 588, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19475, "uuid": "292807b91a2545cfafc00831e46a8def", "short_code": "acq", "title": "MRF Flight A772", "abstract": "MRF Flight A772" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 2466, "uuid": "d2a1eae2cff4b2e93320a7027ec9e832", "short_code": "proj", "title": "European eXport of Precursors and Ozone by long-Range Transport (EXPORT)", "abstract": "The primary objective of EXPORT is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research." }, { "ob_id": 14434, "uuid": "b7afa77087be4853bd2988ecdf0f1108", "short_code": "proj", "title": "UTLS-Ozone: Dynamics and Chemistry of Frontal Zones (DCFZ)", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 21785, 21817, 21823, 22438, 22440, 22850, 22852, 22854, 25382, 25388, 25390, 25393, 25394, 25398, 25402, 25850, 25861, 25893, 25894, 25895 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 2463, "uuid": "09c6bbdf1e869d0f9c1d21dc190c4df1", "short_code": "coll", "title": "European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project: Aircraft Photochemical Measurements", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. \r\n\r\nThe methodology has been to conduct a flying campaign in August 2000 during which measurements of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers were made in the air over Europe and that being transported eastwards out of Europe. The collected data will then be used to:\r\n\r\nidentify the origin of the observed polluted air masses;\r\ncharacterise their chemical composition and tendencies;\r\nvalidate chemical transport models, which will then be employed to quantify the contribution of European emissions to tropospheric ozone.\r\nThree aircraft were involved in the flying campaign which was based at Oberpfaffenhofen in Southern Germany:\r\n\r\nthe C-130 Hercules aircraft (NERC Atmospheric Research Airborne Support Facility) operated by the Meteorological Research Flight (MRF);\r\nthe Falcon operated by the German Aerospace Centre (DLR); \r\nthe Mystere belonging to the University of Pierre and Marie Curie Paris - Service d'Aeronomie (UPMC-SA).\r\n\r\nEach aircraft was independently funded from national resources, which in the case of the C-130, was provided equally by the Met Office and NERC.\r\nThe C-130 was equipped with instrumentation for the measurement of many gas phase species and particulate quantities in addition to filter radiometers (see Table). The DLR Falcon was also extensively equipped and was able to extend the altitude range of some species above the ceiling of the C-130 (from 10 to 13 km). The Mystere was only equipped with a few in situ chemical sensors, but carried an airborne LIDAR, which was able to produce ozone cross-sections.\r\n\r\nData collected on board all 3 aircraft will be processed and quality controlled before being submitted to this central archive at BADC, within 6 months of collection (February 2001). This data is governed by a Data Protocol, which will allow it to be available to all participants whilst ensuring due credit is given to the providers. The data from the C-130 was made publicly accessible 2 years after collection (August 2002). The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research.\r\n\r\nThe data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe." } ], "responsiblepartyinfo_set": [ 73653, 73654, 73656, 73657, 73658, 73659, 73660, 73655, 73661, 73665 ], "onlineresource_set": [] }, { "ob_id": 19476, "uuid": "a61e04ec5b3d480bbfdeb375b4f29f82", "title": "MRF A773 EXPORT flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A773 for the EXPORT project. The flight was over southern and eastern Germany. \r\n\r\nTransport of Pollution through a Warm Conveyor Belt\r\n\r\nFrom Oberpfaffenhofen the route was first to the far SW of Germany. However, in order to avoid the worst of the cloud (for the NOxy calibration) some retracing of our steps was required. Once at the south western waypoint, the plan was then to cross the front in a square wave pattern, travelling in a north eastern direction and increasing in altitude between runs. This was carried out successfully. We remained within the belt of cloud for much of the flight. \r\n\r\nThe flight appears to have been rather successful. Certainly transport of CO, HCHO, NOx and NOy (including PAN), out of the boundary layer, was very clear. The highest CO mixing ratios (ca. 150 ppb) were found at around 10:40 during a run at FL100. PAN at this time was estimated to be nearly 1 ppb. The following runs at FL120 and FL140 also showed elevated CO etc but CO maxima decreased with altitude. Whether all of the transport was due to the conveyor or if some of it was due to convection remains to be seen. The mixing ratio of ozone throughout the cloudy region was fairly constant (around 50 - 60 ppb); indicating that there had been limited photochemical processing. \r\n\r\nOnce clear of the northern edge of the cloud, the aircrew carried out a 50ft approach to an airfield in Leipzig. This allowed sampling of the boundary layer in the region and was quite a contrast to the rest of the flight. High SO2 readings (ca. 2 ppb) and high NOx readings (TECO NOx ca. 18 ppb) were observed but it should be noted that these were not concurrent: the maximum in NOx following that in SO2 by ca. 5 mins. During this time period the CN was off scale (the CO peaked at around 200 ppb and ozone was reduced to around 30ppb). The high concentrations of primary pollutants were unsurprising given the observation of large industrial chimneys etc in the area. \r\n\r\n\r\nThere were a fair number of instrument problems. The lower jNO2 and jO1D radiometers were found to go to full-scale for short periods. The HORACE TAS and TAT were clearly erroneous for a period of around half-an-hour starting at around 9:45 GMT. The flow in the PSAP instrument could not be maintained and missing 'O' rings needed replacing at the beginning of the flight. The FWVS was also found to drop down to -70.5°C fairly regularly. Early problems with the CO instrument (blown fuse) were soon rectified. All other chemistry equipment appeared to work well, despite the very wet conditions. \r\n\r\nThe Met Office midday analysis showed the surface cold front stretching from Northern France to the triple point at the Baltic Sea. The path across Germany was fairly closely matched by the flight plan.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:09:58", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A773. Data acquired by BADC for archiving during the EXPORT project.", "removedDataReason": "", "keywords": "EXPORT, C-130", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:09:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1620, "bboxName": "", "eastBoundLongitude": 13.0, "westBoundLongitude": 6.0, "southBoundLatitude": 48.0, "northBoundLatitude": 50.0 }, "verticalExtent": null, "result_field": { "ob_id": 19552, "dataPath": "/badc/ukmo-mrf/data/a773", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 42252069, "numberOfFiles": 29, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 5118, "startTime": "2000-08-02T07:27:45", "endTime": "2000-08-02T13:30:55" }, "resultQuality": { "ob_id": 588, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19477, "uuid": "89e086ddc1a340caaa93d3154b5e8708", "short_code": "acq", "title": "MRF Flight A773", "abstract": "MRF Flight A773" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 2466, "uuid": "d2a1eae2cff4b2e93320a7027ec9e832", "short_code": "proj", "title": "European eXport of Precursors and Ozone by long-Range Transport (EXPORT)", "abstract": "The primary objective of EXPORT is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research." }, { "ob_id": 14434, "uuid": "b7afa77087be4853bd2988ecdf0f1108", "short_code": "proj", "title": "UTLS-Ozone: Dynamics and Chemistry of Frontal Zones (DCFZ)", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 21785, 21817, 21823, 22438, 22440, 22850, 22852, 22854, 25382, 25388, 25390, 25393, 25394, 25398, 25402, 25850, 25861, 25893, 25894, 25895 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 2463, "uuid": "09c6bbdf1e869d0f9c1d21dc190c4df1", "short_code": "coll", "title": "European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project: Aircraft Photochemical Measurements", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. \r\n\r\nThe methodology has been to conduct a flying campaign in August 2000 during which measurements of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers were made in the air over Europe and that being transported eastwards out of Europe. The collected data will then be used to:\r\n\r\nidentify the origin of the observed polluted air masses;\r\ncharacterise their chemical composition and tendencies;\r\nvalidate chemical transport models, which will then be employed to quantify the contribution of European emissions to tropospheric ozone.\r\nThree aircraft were involved in the flying campaign which was based at Oberpfaffenhofen in Southern Germany:\r\n\r\nthe C-130 Hercules aircraft (NERC Atmospheric Research Airborne Support Facility) operated by the Meteorological Research Flight (MRF);\r\nthe Falcon operated by the German Aerospace Centre (DLR); \r\nthe Mystere belonging to the University of Pierre and Marie Curie Paris - Service d'Aeronomie (UPMC-SA).\r\n\r\nEach aircraft was independently funded from national resources, which in the case of the C-130, was provided equally by the Met Office and NERC.\r\nThe C-130 was equipped with instrumentation for the measurement of many gas phase species and particulate quantities in addition to filter radiometers (see Table). The DLR Falcon was also extensively equipped and was able to extend the altitude range of some species above the ceiling of the C-130 (from 10 to 13 km). The Mystere was only equipped with a few in situ chemical sensors, but carried an airborne LIDAR, which was able to produce ozone cross-sections.\r\n\r\nData collected on board all 3 aircraft will be processed and quality controlled before being submitted to this central archive at BADC, within 6 months of collection (February 2001). This data is governed by a Data Protocol, which will allow it to be available to all participants whilst ensuring due credit is given to the providers. The data from the C-130 was made publicly accessible 2 years after collection (August 2002). The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research.\r\n\r\nThe data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe." } ], "responsiblepartyinfo_set": [ 73672, 73666, 73667, 73673, 73669, 73670, 73671, 73668, 73674, 73681, 73679, 73687, 73682, 73680, 73688, 73689, 73683, 73685, 73675, 73686, 73684 ], "onlineresource_set": [] }, { "ob_id": 19478, "uuid": "f8954c15d87149d593646d44164c38bd", "title": "MRF A774 EXPORT flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A774 for the EXPORT project. The flight was overGermany, Austria, Czech and Slovak Reps, and Poland.\r\n\r\nThe sortie was flown without any major problems. The mission scientists opted to do more levels in Nitra Slovakia, with level runs at FL70, 90, 130, 150 and 200. There was some confusion with calibrations and zeros, which had not been integrated into the sortie brief. This resulted in effectively extending each run from 10 to 15 minutes.\r\n\r\nThe Falcon was operating in the area at the same time. At one point they flew underneath us at FL90, while we were at FL120 flying eastbound. We then transited north to Poland, via the Czech Republic.\r\n\r\nAn additional 50' approach to Pardevice airport was added into the sortie before the final transit back to Oberpfaffenhofen.\r\n\r\nHeavy cloud and precipitation was encountered on the return transit to a very wet Oberpfaffenhofen.\r\n\r\n \r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-14T14:24:25", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A774. Data acquired by BADC for archiving during the EXPORT project.", "removedDataReason": "", "keywords": "EXPORT, C-130", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:09:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1620, "bboxName": "", "eastBoundLongitude": 13.0, "westBoundLongitude": 6.0, "southBoundLatitude": 48.0, "northBoundLatitude": 50.0 }, "verticalExtent": null, "result_field": { "ob_id": 19553, "dataPath": "/badc/ukmo-mrf/data/a774", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 43828566, "numberOfFiles": 30, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 5119, "startTime": "2000-08-03T08:24:45", "endTime": "2000-08-03T14:54:45" }, "resultQuality": { "ob_id": 588, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19479, "uuid": "98ad9576a0554baa8df6cb9d26a5ebce", "short_code": "acq", "title": "MRF Flight A774", "abstract": "MRF Flight A774" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 2466, "uuid": "d2a1eae2cff4b2e93320a7027ec9e832", "short_code": "proj", "title": "European eXport of Precursors and Ozone by long-Range Transport (EXPORT)", "abstract": "The primary objective of EXPORT is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research." }, { "ob_id": 14434, "uuid": "b7afa77087be4853bd2988ecdf0f1108", "short_code": "proj", "title": "UTLS-Ozone: Dynamics and Chemistry of Frontal Zones (DCFZ)", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 21785, 21817, 21823, 22438, 22440, 22850, 22852, 22854, 25382, 25388, 25390, 25393, 25394, 25398, 25402, 25850, 25861, 25893, 25894, 25895 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplemented by project specific measurements.\r\n\r\nThe aircraft was able to operate scientifically throughout the troposphere from a minimum altitude of 15 m (50 ft) where permitted, up to a maximum of 10 km. The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 2463, "uuid": "09c6bbdf1e869d0f9c1d21dc190c4df1", "short_code": "coll", "title": "European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project: Aircraft Photochemical Measurements", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. \r\n\r\nThe methodology has been to conduct a flying campaign in August 2000 during which measurements of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers were made in the air over Europe and that being transported eastwards out of Europe. The collected data will then be used to:\r\n\r\nidentify the origin of the observed polluted air masses;\r\ncharacterise their chemical composition and tendencies;\r\nvalidate chemical transport models, which will then be employed to quantify the contribution of European emissions to tropospheric ozone.\r\nThree aircraft were involved in the flying campaign which was based at Oberpfaffenhofen in Southern Germany:\r\n\r\nthe C-130 Hercules aircraft (NERC Atmospheric Research Airborne Support Facility) operated by the Meteorological Research Flight (MRF);\r\nthe Falcon operated by the German Aerospace Centre (DLR); \r\nthe Mystere belonging to the University of Pierre and Marie Curie Paris - Service d'Aeronomie (UPMC-SA).\r\n\r\nEach aircraft was independently funded from national resources, which in the case of the C-130, was provided equally by the Met Office and NERC.\r\nThe C-130 was equipped with instrumentation for the measurement of many gas phase species and particulate quantities in addition to filter radiometers (see Table). The DLR Falcon was also extensively equipped and was able to extend the altitude range of some species above the ceiling of the C-130 (from 10 to 13 km). The Mystere was only equipped with a few in situ chemical sensors, but carried an airborne LIDAR, which was able to produce ozone cross-sections.\r\n\r\nData collected on board all 3 aircraft will be processed and quality controlled before being submitted to this central archive at BADC, within 6 months of collection (February 2001). This data is governed by a Data Protocol, which will allow it to be available to all participants whilst ensuring due credit is given to the providers. The data from the C-130 was made publicly accessible 2 years after collection (August 2002). The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research.\r\n\r\nThe data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe." } ], "responsiblepartyinfo_set": [ 73690, 73692, 73691, 73694, 73695, 73696, 73697, 73693, 73698, 73699, 73700, 73701, 73702, 73703, 73704, 73705, 73706, 73707, 73708, 73709, 73710 ], "onlineresource_set": [] }, { "ob_id": 19480, "uuid": "e59b89e87dd646519cefc38d67879a9d", "title": "MRF A775 EXPORT flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. The data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe. \r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A775 for the EXPORT project. The flight was over Germany, Austria, Czech and Slovak Reps, and Poland.\r\n\r\nStudy of PBL Air over Czech Republic and southern Poland contrasted with Uplifted (N. American) air at ca. 25,000ft\r\n\r\nThe aim of the experiment was to observe two areas of polluted air, as forecast by RDF trajectory forecasts and the NILU model. The first area was forecast to be over the Czech Republic / southern Poland at low levels and the second was forecast to be over southern Poland / Germany at higher altitudes (ca. 26,000 to 29,000ft. Both the Mystere and Falcon aircraft only planned to sample the higher altitude polluted layer. The results from the Mystere were planned to feed back to the C-130, after sampling the low level air. Indeed communications from the Mystere were passed to the C-130 but probably made little difference to the eventual plan. \r\n\r\nThe flight was very interesting. The main science started with a profile into an airfield at Ostrava, Czech Republic. Bottles were filled during the descent into the airfield. These should show 'chemical age' difference above and below the boundary layer. Below the inversion at around FL045, a rather heavily polluted boundary layer was sampled in the Czech Republic / southern Poland. Several runs were carried out in this air, mostly at an altitude of approximately 3,000ft above ground. The flight area was mostly very heavily polluted, with several factory chimneys and at least one power station that was passed several times. Once above a more rural area the levels of primary pollutants dropped significantly, possibly indicating that a significant fraction of the primary pollutant concentrations were due to the local sources. The aircraft remained in the PBL for quite some time. This was partly due to the requests of the mission scientists but also because of having to wait to go into Polish airspace. \r\n\r\nThe second part of the flight was at higher level, between ca. 26,000 and 29,000ft, in order to sample uplifted air forecast to be of N. American origin. The air was certainly rich in CO (up to around 100ppb) but interestingly the ozone was anti-correlated with the CO. It is possible that the air had been uplifted in convection, in which case the ozone concentration might be anti-correlated with the CO, if there has been insufficient time for photochemical processing. Alternatively, boundary layer air (from either N. America or Europe) may have mixed with dry, ozone-rich UTLS air. \r\n\r\nMost instruments performed well, the exception being the PSAP, which was very noisy. The NOxy worked well but reported loss of flow into the NOy1 inlet (NOy minus HNO3), above ca. FL240. \r\n\r\nMeteorology\r\n\r\nThe surface chart showed a weak ridge of high pressure over central Europe. The midday analysis showed a frontal feature stretching from the North Sea, across NE Germany and into Southern Poland. Some troughing of the upper air.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-14T14:24:28", "updateFrequency": "notPlanned", "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A775. 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The DLR Falcon was also extensively equipped and was able to extend the altitude range of some species above the ceiling of the C-130 (from 10 to 13 km). The Mystere was only equipped with a few in situ chemical sensors, but carried an airborne LIDAR, which was able to produce ozone cross-sections.\r\n\r\nData collected on board all 3 aircraft will be processed and quality controlled before being submitted to this central archive at BADC, within 6 months of collection (February 2001). This data is governed by a Data Protocol, which will allow it to be available to all participants whilst ensuring due credit is given to the providers. The data from the C-130 was made publicly accessible 2 years after collection (August 2002). The groups involved are the Universities of East Anglia, Cambridge, Leicester, Leeds, Reading and UPMC-SA, MRF, DLR, Max-Planck Institute for Nuclear Physics - Heidelberg and the Norwegian Institute for Air Research.\r\n\r\nThe data held at BADC was collected during a co-ordinated 3 aircraft flying campaign in August 2000 based at Oberpfaffenhofen in Southern Germany. Measurements were made of many photochemical parameters including ozone, its precursors, other oxidants and both gas phase and particulate tracers in the air over Europe and that being transported eastwards out of Europe." } ], "responsiblepartyinfo_set": [ 73714, 73715, 73716, 73718, 73719, 73720, 73721, 73717, 73722, 73723, 73724, 73725, 73726, 73727, 73728, 73729, 73730, 73731, 73732, 73733, 73734 ], "onlineresource_set": [] }, { "ob_id": 19482, "uuid": "65d22daa19a34a0a86e657e0e3ec1cf5", "title": "MRF A776 EXPORT flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft", "abstract": "The primary objective of the European eXport of Precursors and Ozone by long-Range Transport (EXPORT) project is to characterise and quantify the photochemical air pollution both forming over Europe and being exported eastwards from Europe. 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The collected data will then be used to:\r\n\r\nidentify the origin of the observed polluted air masses;\r\ncharacterise their chemical composition and tendencies;\r\nvalidate chemical transport models, which will then be employed to quantify the contribution of European emissions to tropospheric ozone.\r\nThree aircraft were involved in the flying campaign which was based at Oberpfaffenhofen in Southern Germany:\r\n\r\nthe C-130 Hercules aircraft (NERC Atmospheric Research Airborne Support Facility) operated by the Meteorological Research Flight (MRF);\r\nthe Falcon operated by the German Aerospace Centre (DLR); \r\nthe Mystere belonging to the University of Pierre and Marie Curie Paris - Service d'Aeronomie (UPMC-SA).\r\n\r\nEach aircraft was independently funded from national resources, which in the case of the C-130, was provided equally by the Met Office and NERC.\r\nThe C-130 was equipped with instrumentation for the measurement of many gas phase species and particulate quantities in addition to filter radiometers (see Table). 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ACSOE, which took place between 1995 and 2000, is a UK Natural Environment Research Council (NERC) Thematic Research Programme to investigate the chemistry of the lower atmosphere (0 - 12 km) over the oceans. The studies aimed to bring about a clearer understanding of natural processes in the remote marine atmosphere, and how these processes are affected by atmospheric pollution originating from the continents. This information is vital in understanding regional and global-scale changes in atmospheric chemistry and climate. The principal Investigator of ACSOE was Prof Stuart Penkett of University of East Anglia. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic: OXICOA (OXIdising Capacity of the Ocean Atmosphere), MAGE (Marine Aerosol and Gas Exchange) and ACE (Aerosol Characterisation Experiment). OXICOA was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 79823 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 431, "uuid": "605b99a139b1162de6a1096a11b0a8b4", "short_code": "coll", "title": "Met Office Met. Research Flight C-130: Airborne atmospheric measurements", "abstract": "The Met. Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. 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The aircraft had a maximum working flight time of 12 hours.\r\n\r\nThe C-130 was taken out of service in March 2001 and a new joint NERC-Met Office Facility for Airborne Aircraft Measurements (FAAM) was established operating a BAe-146-301 aircraft." }, { "ob_id": 6335, "uuid": "fbb4318b85e4b0a645ff3c707697b06b", "short_code": "coll", "title": "ACSOE OXICOA - TACIA Joint Programme: Airborne Gas Photochemistry Measurements Data from onboard the MRF C-130 in 1996 and 1997", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. OXICOA (OXIdising Capacity of the Ocean Atmosphere) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The Testing Atmospheric Chemistry in Anticyclone (TACIA) project as part of the ACSOE-OXICOA program was carried to collect data. The dataset was collected by the C-130 research aircraft; a former transport aircraft operated by the Meteorological Research Flight (MRF), and includes in situ trace gas photochemistry measurements." } ], "responsiblepartyinfo_set": [ 74170, 74171, 74172, 74173, 74174, 74167, 74175, 74168, 74169, 74179 ], "onlineresource_set": [ 15319 ] }, { "ob_id": 19564, "uuid": "d323783d14b44400b5a7fb156023a65e", "title": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from Wayqecha (upper montane forest) in the Peruvian Andes (2010-2013)", "abstract": "The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 17th December 2010 and 5th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Wayqecha, an upper montane forest ecosystem ground site, in the Peruvian Andes. \r\n\r\nData were collected tor the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2). \r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:01:40", "updateFrequency": "notPlanned", "dataLineage": "Data collected, processed and checked by the project team prior to delivery to the Centre for Environmental Data Analysis (CEDA) for ingestion into the CEDA archives.", "removedDataReason": "", "keywords": "methane, nitrous oxide, Andes, Peru, tropical ecosystems, rainforest, greenhouse gases, carbon dioxide, soil-atmosphere gas exchange, forest, grassland", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-07-12T09:45:50", "doiPublishedTime": "2016-07-13T15:58:24", "removedDataTime": null, "geographicExtent": { "ob_id": 1636, "bboxName": "Wayqecha station (Peru)", "eastBoundLongitude": -71.5869, "westBoundLongitude": -71.5869, "southBoundLatitude": -13.19, "northBoundLatitude": -13.19 }, "verticalExtent": null, "result_field": { "ob_id": 19620, "dataPath": "/badc/ch4-n2o-hotspots/data/upper-montane", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 51450, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 5160, "startTime": "2010-12-17T00:00:00", "endTime": "2013-07-05T22:59:59" }, "resultQuality": { "ob_id": 3045, "explanation": "Data may include \"NA\" values signifying when the project team were unable to sample on those dates. Such instances included: a specific piece of equipment broke in the field, or landslides, river levels etc. prevented access to the sites.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2016-07-12" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19619, "uuid": "6bddeaa05e8842e7bb8a31c6dddb1e4e", "short_code": "acq", "title": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from Wayqecha (upper montane forest) in the Peruvian Andes", "abstract": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from Wayqecha (upper montane forest) in the Peruvian Andes " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19561, "uuid": "13897d37fa144915bd29fd0573b57217", "short_code": "proj", "title": "NERC project: Are tropical uplands regional hotspots for methane and nitrous oxide?", "abstract": "This project was funded by the Natural Environment Research Council (NERC) with the following grant references; NE/H007849/1, NE/H006753/1 and NE/H006583/2. These grants were led by Professor Pete Smith, Professor Patrick Meir and Dr Yit Arn Teh respectively.\r\n\r\nTropical ecosystems are major sources of the greenhouse gases (GHGs) methane (CH4) and nitrous oxide (N2O), which are 25 and 298 times more effective than carbon dioxide (CO2), respectively, in trapping long-wave radiation in the atmosphere. Increases in CH4 and N2O concentrations since the start of the Industrial Revolution are responsible for over one-third of global warming, and future changes in the atmospheric budgets of these GHGs have implications for the Earth's climate and environmental conditions. N2O emissions, in particular, are projected to rise in the future due to agricultural expansion and enhanced atmospheric nitrogen deposition.\r\n\r\nRecent studies of the global budgets of CH4 and N2O using satellite imagery, atmospheric measurements, and modelling suggest that significantly more CH4 and N2O are released from the tropics than previously thought due to unaccounted sources of CH4 and N2O. It is critical for us to identify and characterise these 'missing' sources if we wish to understand the current contribution of the tropics to GHG budgets. Knowledge of these 'missing' sources is also necessary for predicting how tropical GHG emissions are likely to respond to future environmental or climatic change. One strong potential candidate for these 'missing' sources of CH4 and N2O are tropical uplands. Tropical uplands have been conspicuously absent from existing atmospheric budgets, because scientific attention has largely focused on CH4 and N2O emissions from lowland forests, savannas, or wetlands. Studies from tropical uplands suggest that they are potentially large sources of CH4 and N2O, with emissions that are equal to or greater than those from lowland environments. Upland rainforests in Puerto Rico, for example, emit more CH4 than lowland forests, with emission rates that are on par with northern wetlands, the largest natural sources of CH4 worldwide. \r\n\r\nTo address these gaps in knowledge, a comprehensive study of CH4 and N2O cycling in the Peruvian Andes, using a mixture of field measurements, controlled environment studies, and mathematical modelling was undertaken. \r\n\r\nThe projects aims were to: \r\n1. Investigate how CH4 and N2O fluxes vary in space and time along an environmental gradient that spans 3000 m of altitude, from lowland rainforest to upper montane rainforest. \r\n2. Explore how key environmental variables (e.g., plant productivity, climate, soil moisture, carbon and nitrogen availability, oxygen) influence CH4 and N2O emissions. \r\n3. Determine if existing mathematical models are able to simulate CH4 and N2O emissions from tropical ecosystems, adapting these models as necessary to better simulate field observations. \r\n4. Determine if GHG emissions from the Andes are able to account for some of the 'missing' tropical sources of CH4 and N2O by extrapolating our field observations to the regional scale using a combination of mathematical modelling, satellite imagery, and land cover databases (i.e., GIS). \r\n\r\nThis research greatly advanced our understanding of CH4 and N2O emissions for an important but understudied region, and helped to determine the relative contribution of Andean ecosystems to the CH4 and N2O budgets for South America. Knowledge of the emission rates and environmental controls on CH4 and N2O fluxes from upland Andean ecosystems also helped evaluate whether other tropical uplands are likely to be sources of CH4 and N2O, and assess their potential contributions to the global atmospheric budgets of CH4 and N2O. Lastly, the development and adaptation of mathematical models that accurately simulate tropical CH4 and N2O fluxes allowed the project to predict the likely response of tropical uplands to future environmental or climatic change.\r\n\r\nThe goal of this research was to use the Andes as a model system for understanding the rates, spatial and temporal patterns, and environmental controls on methane (CH4) and nitrous oxide (N2O) fluxes in upland tropical environments. They aimed to quantify CH4 and N2O fluxes along a 3000 m environmental gradient in the Andes, spanning lowland rainforest (220 masl) to upper montane rainforest (3000 masl). \r\n\r\nEmpirical data were used to parameterise or adapt models to extrapolate CH4 and N2O fluxes to larger spatial scales, and to predict the response of trace gas fluxes to environmental change. \r\n\r\nThe project also aimed to evaluate the importance of upland Andean ecosystems as regional sources of CH4 and N2O, exploring the extent to which CH4 and N2O emissions from these environments account for discrepancies in regional CH4 and N2O budgets. They used an integrated, multiscale approach, combining field measurements, controlled environment studies, modelling, and spatially weighted upscaling. \r\n\r\nSpecifically, objectives include: \r\n1. Determine spatial and temporal patterns of CH4 and N2O exchange from key ecosystems along an altitudinal gradient in the Andes. \r\n2. Investigate how natural variations in key driving variables (plant productivity, climate, soil moisture, soil C, soil N, and oxygen) influence rates of CH4 and N2O exchange using field observations and controlled environment studies. \r\n3. Parameterise or adapt existing models (ECOSSE, DNDC) with empirical data from a lowland to upland gradient in order to accurately simulate CH4 and N2O flux processes in tropical ecosystems. \r\n4. Use a combination of modelling and remote sensing imagery to upscale our observations to evaluate the importance of Andean uplands as regional sources of CH4 and N2O." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25856, 55820, 55821, 55822, 55823, 55824, 55825, 55826, 55827, 55828, 55829, 55830, 55831, 55832, 55835, 55836, 55837, 55838, 90488, 90489 ], "vocabularyKeywords": [], "identifier_set": [ 8980 ], "observationcollection_set": [ { "ob_id": 19563, "uuid": "93fdb48b713b4dbc93a28d695771312d", "short_code": "coll", "title": "NERC Project: Are tropical uplands regional hotspots for methane and nitrous oxide?: in-situ ground based atmospheric flux measurements and model output", "abstract": "'Are tropical uplands regional hotspots for methane and nitrous oxide?' was a NERC (Natural Environment Research Council) funded project from 2010-2015 with the following grant references NE/H007849/1, NE/H006753/1 and NE/H006583/2.\r\n\r\nThis dataset collection contains in-situ ground based soil-atmosphere flux and soil condition measurements from 4 different ecosystems located in the Peruvian Andes over ~2.5 years between 2010-2013. The ecosystems included upper montane forest (Wayqecha), lower montane forest (San Pedro), premontane forest (Villa Carmen) and grassland sites. \r\n\r\nAt present, data are only available for 3 ecosystems; Wayqecha, San Pedro and Villa Carman. However, the grassland dataset will follow shortly along with some model output." } ], "responsiblepartyinfo_set": [ 74314, 74241, 74243, 74242, 74439, 74456, 74457, 74458, 74239, 74315, 74316, 74317, 74240 ], "onlineresource_set": [ 15342, 15343, 87775 ] }, { "ob_id": 19607, "uuid": "0c22d4b33d0b4247b3d31112742a8206", "title": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from San Pedro (lower montane forest) in the Peruvian Andes (2010-2013)", "abstract": "The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 15th December 2010 and 6th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at San Pedro, a lower montane forest ecosystem ground site, in the Peruvian Andes. \r\n\r\nData were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2). \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-07-12T09:52:17.855791", "updateFrequency": "notPlanned", "dataLineage": "Data collected, processed and checked by the project team prior to delivery to the Centre for Environmental Data Analysis (CEDA) for ingestion into the CEDA archives", "removedDataReason": "", "keywords": "methane, nitrous oxide, Andes, Peru, tropical ecosystems, rainforest, greenhouse gases, carbon dioxide, soil-atmosphere gas exchange, forest, grassland", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-07-12T09:45:09", "doiPublishedTime": "2016-07-13T15:51:40", "removedDataTime": null, "geographicExtent": { "ob_id": 1635, "bboxName": "San Pedro station (Peru)", "eastBoundLongitude": -71.4011, "westBoundLongitude": -71.4011, "southBoundLatitude": -12.8953, "northBoundLatitude": -12.8953 }, "verticalExtent": null, "result_field": { "ob_id": 19622, "dataPath": "/badc/ch4-n2o-hotspots/data/lower-montane", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 52373, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 5159, "startTime": "2010-12-15T00:00:00", "endTime": "2013-07-06T22:59:59" }, "resultQuality": { "ob_id": 3047, "explanation": "These data have been archived as delivered by the project participants and have no quality control has been applied by the archive.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2016-07-12" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19618, "uuid": "00e14e1505804abe90bf12052057c1e1", "short_code": "acq", "title": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from San Pedro (lower montane forest) in the Peruvian Andes", "abstract": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from San Pedro (lower montane forest) in the Peruvian Andes " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19561, "uuid": "13897d37fa144915bd29fd0573b57217", "short_code": "proj", "title": "NERC project: Are tropical uplands regional hotspots for methane and nitrous oxide?", "abstract": "This project was funded by the Natural Environment Research Council (NERC) with the following grant references; NE/H007849/1, NE/H006753/1 and NE/H006583/2. These grants were led by Professor Pete Smith, Professor Patrick Meir and Dr Yit Arn Teh respectively.\r\n\r\nTropical ecosystems are major sources of the greenhouse gases (GHGs) methane (CH4) and nitrous oxide (N2O), which are 25 and 298 times more effective than carbon dioxide (CO2), respectively, in trapping long-wave radiation in the atmosphere. Increases in CH4 and N2O concentrations since the start of the Industrial Revolution are responsible for over one-third of global warming, and future changes in the atmospheric budgets of these GHGs have implications for the Earth's climate and environmental conditions. N2O emissions, in particular, are projected to rise in the future due to agricultural expansion and enhanced atmospheric nitrogen deposition.\r\n\r\nRecent studies of the global budgets of CH4 and N2O using satellite imagery, atmospheric measurements, and modelling suggest that significantly more CH4 and N2O are released from the tropics than previously thought due to unaccounted sources of CH4 and N2O. It is critical for us to identify and characterise these 'missing' sources if we wish to understand the current contribution of the tropics to GHG budgets. Knowledge of these 'missing' sources is also necessary for predicting how tropical GHG emissions are likely to respond to future environmental or climatic change. One strong potential candidate for these 'missing' sources of CH4 and N2O are tropical uplands. 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Determine if GHG emissions from the Andes are able to account for some of the 'missing' tropical sources of CH4 and N2O by extrapolating our field observations to the regional scale using a combination of mathematical modelling, satellite imagery, and land cover databases (i.e., GIS). \r\n\r\nThis research greatly advanced our understanding of CH4 and N2O emissions for an important but understudied region, and helped to determine the relative contribution of Andean ecosystems to the CH4 and N2O budgets for South America. Knowledge of the emission rates and environmental controls on CH4 and N2O fluxes from upland Andean ecosystems also helped evaluate whether other tropical uplands are likely to be sources of CH4 and N2O, and assess their potential contributions to the global atmospheric budgets of CH4 and N2O. 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They aimed to quantify CH4 and N2O fluxes along a 3000 m environmental gradient in the Andes, spanning lowland rainforest (220 masl) to upper montane rainforest (3000 masl). \r\n\r\nEmpirical data were used to parameterise or adapt models to extrapolate CH4 and N2O fluxes to larger spatial scales, and to predict the response of trace gas fluxes to environmental change. \r\n\r\nThe project also aimed to evaluate the importance of upland Andean ecosystems as regional sources of CH4 and N2O, exploring the extent to which CH4 and N2O emissions from these environments account for discrepancies in regional CH4 and N2O budgets. They used an integrated, multiscale approach, combining field measurements, controlled environment studies, modelling, and spatially weighted upscaling. \r\n\r\nSpecifically, objectives include: \r\n1. Determine spatial and temporal patterns of CH4 and N2O exchange from key ecosystems along an altitudinal gradient in the Andes. \r\n2. Investigate how natural variations in key driving variables (plant productivity, climate, soil moisture, soil C, soil N, and oxygen) influence rates of CH4 and N2O exchange using field observations and controlled environment studies. \r\n3. Parameterise or adapt existing models (ECOSSE, DNDC) with empirical data from a lowland to upland gradient in order to accurately simulate CH4 and N2O flux processes in tropical ecosystems. \r\n4. Use a combination of modelling and remote sensing imagery to upscale our observations to evaluate the importance of Andean uplands as regional sources of CH4 and N2O." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25856, 55820, 55821, 55822, 55823, 55824, 55825, 55826, 55827, 55828, 55829, 55830, 55831, 55832, 55835, 55836, 55837, 55838, 90488, 90489 ], "vocabularyKeywords": [], "identifier_set": [ 8978 ], "observationcollection_set": [ { "ob_id": 19563, "uuid": "93fdb48b713b4dbc93a28d695771312d", "short_code": "coll", "title": "NERC Project: Are tropical uplands regional hotspots for methane and nitrous oxide?: in-situ ground based atmospheric flux measurements and model output", "abstract": "'Are tropical uplands regional hotspots for methane and nitrous oxide?' was a NERC (Natural Environment Research Council) funded project from 2010-2015 with the following grant references NE/H007849/1, NE/H006753/1 and NE/H006583/2.\r\n\r\nThis dataset collection contains in-situ ground based soil-atmosphere flux and soil condition measurements from 4 different ecosystems located in the Peruvian Andes over ~2.5 years between 2010-2013. 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However, the grassland dataset will follow shortly along with some model output." } ], "responsiblepartyinfo_set": [ 74325, 74326, 74318, 74320, 74360, 74361, 74362, 74359, 74437, 74319, 74321, 74322, 74323, 74324 ], "onlineresource_set": [ 15362, 15363 ] }, { "ob_id": 19608, "uuid": "5e532731b36246009dcafdff25e396f8", "title": "Ground based measurements of carbon dioxide, methane and nitrous oxide taken from Villa Carmen (premontane forest) in the Peruvian Andes (2011-2013)", "abstract": "The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 23rd July 2011 and 8th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Villa Carmen, a premontane forest ecosystem ground site, in the Peruvian Andes. \r\n\r\nData were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2). \r\n\r\n\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:01:41", "updateFrequency": "notPlanned", "dataLineage": "Data collected, processed and checked by the project team prior to delivery to the Centre for Environmental Data Analysis (CEDA) for ingestion into the CEDA archives", "removedDataReason": "", "keywords": "methane, nitrous oxide, Andes, Peru, tropical ecosystems, rainforest, greenhouse gases, carbon dioxide, soil-atmosphere gas exchange, forest, grassland", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-07-12T09:45:28", "doiPublishedTime": "2016-07-13T15:54:47", "removedDataTime": null, "geographicExtent": { "ob_id": 1634, "bboxName": "Villa Carmen station (Peru)", "eastBoundLongitude": -71.4, "westBoundLongitude": -71.4, "southBoundLatitude": -12.8953, "northBoundLatitude": -12.8953 }, "verticalExtent": null, "result_field": { "ob_id": 19621, "dataPath": "/badc/ch4-n2o-hotspots/data/premontane", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33714, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 5158, "startTime": "2011-07-22T23:00:00", "endTime": "2013-07-08T22:59:59" }, "resultQuality": { "ob_id": 3046, "explanation": "Data may include \"NA\" values signifying when the project team were unable to sample on those dates. 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These grants were led by Professor Pete Smith, Professor Patrick Meir and Dr Yit Arn Teh respectively.\r\n\r\nTropical ecosystems are major sources of the greenhouse gases (GHGs) methane (CH4) and nitrous oxide (N2O), which are 25 and 298 times more effective than carbon dioxide (CO2), respectively, in trapping long-wave radiation in the atmosphere. Increases in CH4 and N2O concentrations since the start of the Industrial Revolution are responsible for over one-third of global warming, and future changes in the atmospheric budgets of these GHGs have implications for the Earth's climate and environmental conditions. N2O emissions, in particular, are projected to rise in the future due to agricultural expansion and enhanced atmospheric nitrogen deposition.\r\n\r\nRecent studies of the global budgets of CH4 and N2O using satellite imagery, atmospheric measurements, and modelling suggest that significantly more CH4 and N2O are released from the tropics than previously thought due to unaccounted sources of CH4 and N2O. It is critical for us to identify and characterise these 'missing' sources if we wish to understand the current contribution of the tropics to GHG budgets. Knowledge of these 'missing' sources is also necessary for predicting how tropical GHG emissions are likely to respond to future environmental or climatic change. One strong potential candidate for these 'missing' sources of CH4 and N2O are tropical uplands. Tropical uplands have been conspicuously absent from existing atmospheric budgets, because scientific attention has largely focused on CH4 and N2O emissions from lowland forests, savannas, or wetlands. Studies from tropical uplands suggest that they are potentially large sources of CH4 and N2O, with emissions that are equal to or greater than those from lowland environments. Upland rainforests in Puerto Rico, for example, emit more CH4 than lowland forests, with emission rates that are on par with northern wetlands, the largest natural sources of CH4 worldwide. \r\n\r\nTo address these gaps in knowledge, a comprehensive study of CH4 and N2O cycling in the Peruvian Andes, using a mixture of field measurements, controlled environment studies, and mathematical modelling was undertaken. \r\n\r\nThe projects aims were to: \r\n1. Investigate how CH4 and N2O fluxes vary in space and time along an environmental gradient that spans 3000 m of altitude, from lowland rainforest to upper montane rainforest. \r\n2. Explore how key environmental variables (e.g., plant productivity, climate, soil moisture, carbon and nitrogen availability, oxygen) influence CH4 and N2O emissions. \r\n3. Determine if existing mathematical models are able to simulate CH4 and N2O emissions from tropical ecosystems, adapting these models as necessary to better simulate field observations. \r\n4. Determine if GHG emissions from the Andes are able to account for some of the 'missing' tropical sources of CH4 and N2O by extrapolating our field observations to the regional scale using a combination of mathematical modelling, satellite imagery, and land cover databases (i.e., GIS). \r\n\r\nThis research greatly advanced our understanding of CH4 and N2O emissions for an important but understudied region, and helped to determine the relative contribution of Andean ecosystems to the CH4 and N2O budgets for South America. Knowledge of the emission rates and environmental controls on CH4 and N2O fluxes from upland Andean ecosystems also helped evaluate whether other tropical uplands are likely to be sources of CH4 and N2O, and assess their potential contributions to the global atmospheric budgets of CH4 and N2O. Lastly, the development and adaptation of mathematical models that accurately simulate tropical CH4 and N2O fluxes allowed the project to predict the likely response of tropical uplands to future environmental or climatic change.\r\n\r\nThe goal of this research was to use the Andes as a model system for understanding the rates, spatial and temporal patterns, and environmental controls on methane (CH4) and nitrous oxide (N2O) fluxes in upland tropical environments. They aimed to quantify CH4 and N2O fluxes along a 3000 m environmental gradient in the Andes, spanning lowland rainforest (220 masl) to upper montane rainforest (3000 masl). \r\n\r\nEmpirical data were used to parameterise or adapt models to extrapolate CH4 and N2O fluxes to larger spatial scales, and to predict the response of trace gas fluxes to environmental change. \r\n\r\nThe project also aimed to evaluate the importance of upland Andean ecosystems as regional sources of CH4 and N2O, exploring the extent to which CH4 and N2O emissions from these environments account for discrepancies in regional CH4 and N2O budgets. They used an integrated, multiscale approach, combining field measurements, controlled environment studies, modelling, and spatially weighted upscaling. \r\n\r\nSpecifically, objectives include: \r\n1. Determine spatial and temporal patterns of CH4 and N2O exchange from key ecosystems along an altitudinal gradient in the Andes. \r\n2. Investigate how natural variations in key driving variables (plant productivity, climate, soil moisture, soil C, soil N, and oxygen) influence rates of CH4 and N2O exchange using field observations and controlled environment studies. \r\n3. Parameterise or adapt existing models (ECOSSE, DNDC) with empirical data from a lowland to upland gradient in order to accurately simulate CH4 and N2O flux processes in tropical ecosystems. \r\n4. Use a combination of modelling and remote sensing imagery to upscale our observations to evaluate the importance of Andean uplands as regional sources of CH4 and N2O." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25856 ], "vocabularyKeywords": [], "identifier_set": [ 8979 ], "observationcollection_set": [ { "ob_id": 19563, "uuid": "93fdb48b713b4dbc93a28d695771312d", "short_code": "coll", "title": "NERC Project: Are tropical uplands regional hotspots for methane and nitrous oxide?: in-situ ground based atmospheric flux measurements and model output", "abstract": "'Are tropical uplands regional hotspots for methane and nitrous oxide?' was a NERC (Natural Environment Research Council) funded project from 2010-2015 with the following grant references NE/H007849/1, NE/H006753/1 and NE/H006583/2.\r\n\r\nThis dataset collection contains in-situ ground based soil-atmosphere flux and soil condition measurements from 4 different ecosystems located in the Peruvian Andes over ~2.5 years between 2010-2013. The ecosystems included upper montane forest (Wayqecha), lower montane forest (San Pedro), premontane forest (Villa Carmen) and grassland sites. \r\n\r\nAt present, data are only available for 3 ecosystems; Wayqecha, San Pedro and Villa Carman. However, the grassland dataset will follow shortly along with some model output." } ], "responsiblepartyinfo_set": [ 74327, 74329, 74335, 74334, 74438, 74451, 74453, 74452, 74328, 74331, 74330, 74332, 74333 ], "onlineresource_set": [ 15364, 15365, 87774 ] }, { "ob_id": 19629, "uuid": "2b27641b9bfe4d5ba9f9e91e6f684616", "title": "ESA Sea Ice CCI: Ice Concentration products", "abstract": "The Sea Ice CCI project develops a set of consistent multi-mission merged products for ice concentration and ice thickness, which are the main sea ice ECVs.\r\n\r\nThe data products available from Phase 1 are:\r\nSea ice concentration based on passive microwave data from SSM/I (F10, F11, F13, F14, F15) (1992-2008) and AMSR-E (2002-2011), covering both Arctic and Antarctic. The ice concentration products are developed in collaboration with Eumetsat OSI SAF.\r\n\r\nSea ice thickness and freeboard in the Arctic and freeboard in the Antarctic based on radar altimeter data from Envisat RA-2 for the winter months (2002-2012)\r\n\r\n\r\nce concentration products from Phase 2:\r\nThe OSI SAF sea ice team has released the updated version 1.2 of the sea ice concentration data set (OSI-409-a) covering the period Oct 1978-Apr 2015. The products are based on data from SMMR, SSM/I and SSMIS sensors.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-06-29T14:22:17", "updateFrequency": "notPlanned", "dataLineage": "Data stored external to CEDA. Therefore, please refer to data holders for lineage statement", "removedDataReason": "", "keywords": "", "publicationState": "old", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "obsolete", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 741, "bboxName": "Northern Hemisphere", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 0.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19628, "dataPath": "http://esa-cci.nersc.no/?q=products", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "HDF formatted" }, "timePeriod": { "ob_id": 5163, "startTime": "1990-06-29T14:43:21", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 74396, 74398, 74395, 74397, 204880, 204881, 204882, 204883 ], "onlineresource_set": [ 15391, 15392 ] }, { "ob_id": 19631, "uuid": "417421c2c5c84befaf485ffdeabf2541", "title": "Met Office stratospheric assimilated: Upper Atmosphere Research Satellite (UARS) assimilated data 1991 to 1992", "abstract": "The Upper Atmosphere Research Satellite (UARS) was the first major element in NASA's Mission to Planet Earth. It was designed to make a systematic study of the stratosphere and provide new data on the mesosphere and thermosphere. The satellite was launched on 12th September 1991. \r\n\r\nThis dataset contains standard data concerning stratospheric temperature, geopotential height and wind components produced by the upper atmosphere research satellite data assimilation system at the UK Met Office.\r\n\r\nThe data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T01:56:38", "updateFrequency": "unknown", "dataLineage": "Data received from the Met Office", "removedDataReason": "", "keywords": "Met Office, meteorology, statospheric", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T15:28:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19632, "dataPath": "/badc/ukmo-assim/data/uars_assim", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1025248847, "numberOfFiles": 331, "fileFormat": "Data are PP formatted" }, "timePeriod": { "ob_id": 5164, "startTime": "1991-10-28T00:00:00", "endTime": "1992-01-18T12:00:00" }, "resultQuality": { "ob_id": 1103, "explanation": "See dataset associated documentation.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 19634, "uuid": "0f99c13fd42f4f0ab213bd0af5dd3fba", "short_code": "cmppr", "title": "Met Office Upper Atmosphere Research Satellite assimilated data", "abstract": "Met Office Upper Atmosphere Research Satellite assimilated data" }, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 555, "uuid": "f46cfa4784fb454e105f336981f1a82b", "short_code": "proj", "title": "Met Office Numerical Weather Prediction (NWP) System", "abstract": "All forecasts, of whatever type, are ultimately based on the predictions from the Met Office suite of sophisticated atmospheric and oceanic models, run on their powerful supercomputer. This form of forecasting is known as numerical weather prediction (NWP). Numerical weather prediction (NWP) is the process of obtaining an objective forecast of the future state of the atmosphere by running a computer model. The Met Office Unified Model is run operationally, in a number of configurations, for weather forecasting at the Met Office." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2731, 21780 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4348, "uuid": "f0095ccfd57aa3c62b64d3e406ab1f73", "short_code": "coll", "title": "Met Office Stratospheric Assimilated Data", "abstract": "This dataset collection contain data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office.\r\n\r\nThe data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods.\r\n\r\nThese data consist of 3-dimensional gridpoint analyses of temperature, geopotential height and wind components fields at 2.5 x 3.75 degree resolution from the ground to 0.3 hPa (for the period from 17th October 1991 (UARS day 36) to 2006-03-13) and on a smaller grid size 0.5625 degree x 0.375 degree on 27 (or 26 depending on variable) pressure levels, (note, this does not apply for the UARS versions of the data files), for the period 2006-03-03 to present day." } ], "responsiblepartyinfo_set": [ 74425, 74426, 74427, 74429, 74430, 74431, 74432, 74428, 74433, 169563 ], "onlineresource_set": [] }, { "ob_id": 19672, "uuid": "fa493d62c2af4c5cb8e6e3c340cdbf0d", "title": "ESA Fire Climate Change Initiative (Fire_cci): Burned Area Grid Product Version 4.1", "abstract": "The ESA Fire Climate Change Initiative (CCI) dataset collection consists of maps of global burned areas for years 2005 to 2011, developed from satellite observations. The products are based upon spectral information from the Medium Resolution Imaging Spectrometer (MERIS), on board the ESA ENVISAT satellite, and thermal information from the MODIS active fires product.\r\n\r\nThe Grid product is derived from the Pixel product by summarising its burned area information into a regular grid covering the Earth for 15-day periods with 0.25 degree resolution. Information on burned area is included in 22 individual layers: sum of burned area, standard error, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Land Cover CCI v1.6.1 product. For further information on the product and its format see the Fire_cci product user guide in the linked documentation.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-03-19T13:34:00", "updateFrequency": "", "dataLineage": "Data was produced by the ESA Fire CCI team and is being held on CEDA as part of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "ESA, CCI, FIRE, GRID, Burned Area, Fire Disturbance, Climate Change, GCOS", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-07-26T14:43:51", "doiPublishedTime": "2016-08-11T15:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 26253, "dataPath": "/neodc/esacci/fire/data/burned_area/MERIS/grid/v4.1", "oldDataPath": [ 19673 ], "storageLocation": "internal", "storageStatus": "online", "volume": 15333677386, "numberOfFiles": 170, "fileFormat": "Data are in NetCDF" }, "timePeriod": { "ob_id": 5169, "startTime": "2005-01-01T00:00:00", "endTime": "2011-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2539, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 19, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_fire_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13255, "uuid": "6c3584d985bd484e8beb23ff0df91292", "short_code": "proj", "title": "ESA Fire Climate Change Initiative Project (Fire CCI)", "abstract": "The European Space Agency (ESA) Fire Climate Change Initiative (Fire CCI) project, led by University of Alcala (Spain), is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThe Fire CCI focuses on the following issues relating to Fire Disturbance: Analysis and specification of scientific requirements relating to climate; Development and improvement of pre-processing and burned area algorithms; Inter-comparison and selection of burned area algorithms; System prototyping and production of burned area datasets; Product validation and product assessment\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50416, 57314, 57317, 59231, 59232, 59233, 59234, 59235, 59236, 59237 ], "vocabularyKeywords": [ { "ob_id": 10582, "vocabService": "nerc_skos_vocab", "uri": "http://vocab.nerc.ac.uk/collection/L22/current/TOOL1035/", "resolvedTerm": "Moderate Resolution Imaging Spectroradiometer" }, { "ob_id": 11021, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/product/prod_merris", "resolvedTerm": "MERIS" }, { "ob_id": 10469, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_envisat_prog", "resolvedTerm": "Environmental Satellite" }, { "ob_id": 10242, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_modis", "resolvedTerm": "MODIS" }, { "ob_id": 10316, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_ba", "resolvedTerm": "burned area" }, { "ob_id": 10213, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_fire", "resolvedTerm": "fire" }, { "ob_id": 10923, 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The data is of use for those interested in historical burned patterns, fire management and emissions analysis and climate change research, by providing a consistent burned area time series. \r\n\r\nCurrent datasets consist of maps of global burned area for the years 1982 to 2019. Products are available at different spatial resolutions: the Pixel product (at the original resolution of the sensor data) and the Grid product (0.25 degrees resolution), the latter of which is produced from the Pixel product. They are based upon spectral information from different sensors, and in many cases also thermal information from active fires.\r\n\r\nGlobal products: \r\n\r\nFireCCI41: Medium Resolution Imaging Spectrometer (MERIS) reflectance, on board the ENVISAT ESA satellite, 300m spatial resolution, and MODIS active fires. Temporal resolution: 2005 – 2011.\r\nFireCCI50: Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and active fires, on board the TERRA satellite, 250m spatial resolution, temporal resolution: 2001 – 2016.\r\nFireCCI51: Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and active fires, on board the TERRA satellite, 250m spatial resolution, temporal resolution: 2001 – 2019.\r\n\r\nFireCCILT10 (beta product): Advanced Very High Resolution Radiometer (AVHRR) Land Long Term Data Record (LTDR) reflectance. Provided only as grid product. Temporal resolution: 1982-2017.\r\n\r\nContinental products:\r\n\r\nFireCCISFD11: Multispectral Instrument (MSI) reflectance, on board the Sentinel-2A satellite, 20 spatial resolution, and MODIS active fires. Temporal resolution: 2016, spatial coverage: Sub-Saharan Africa." } ], "responsiblepartyinfo_set": [ 74466, 74468, 74469, 74470, 142211, 142212, 142213, 74467, 75031, 75032, 75033, 75034, 75035, 75036, 75037, 75038, 75039, 75040, 75041, 75042, 75043, 75044, 75045, 75046, 75047, 75048, 75049, 75050 ], "onlineresource_set": [ 15412, 15413, 15862, 16527, 15415, 87720 ] }, { "ob_id": 19674, "uuid": "3a3503a06f69429e8a4827592e23787e", "title": "ESA Fire Climate Change Initiative (Fire_cci): Burned Area Pixel Product Version 4.1", "abstract": "The ESA Fire Climate Change Initiative (CCI) dataset consists of maps of global burned areas for years 2005 to 2011, developed from satellite observations. The products are distributed as 6 continental tiles and are based upon spectral information from the Medium Resolution Imaging Spectrometer (MERIS), on board the ESA ENVISAT satellite and thermal information from the MODIS active fires product.\r\n\r\nThe Pixel product includes maps at 0.00277778-degree (approx. 300m) resolution. Burned area (BA) information is included in 3 layers: date of BA detection, the confidence level (a probability value estimating the confidence that a pixel is actually burned), and the land cover information as defined in the Land Cover CCI v1.6.1 product.\r\n\r\nFiles are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-07-15T16:43:05.076892", "updateFrequency": "", "dataLineage": "Data was produced by the ESA Fire CCI team and is being held on CEDA as part of the ESA CCI Open Data Portal project.", "removedDataReason": "", "keywords": "ESA, CCI, PIXEL, Burned Area, Fire Disturbance, Climate Change, GCOS", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-07-26T14:42:41", "doiPublishedTime": "2016-08-11T15:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 26254, "dataPath": "/neodc/esacci/fire/data/burned_area/MERIS/pixel/v4.1", "oldDataPath": [ 19675 ], "storageLocation": "internal", "storageStatus": "online", "volume": 16696819917, "numberOfFiles": 1514, "fileFormat": "Data are in GeoTiff format" }, "timePeriod": { "ob_id": 5170, "startTime": "2005-01-01T00:00:00", "endTime": "2011-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2539, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 19, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_fire_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13255, "uuid": "6c3584d985bd484e8beb23ff0df91292", "short_code": "proj", "title": "ESA Fire Climate Change Initiative Project (Fire CCI)", "abstract": "The European Space Agency (ESA) Fire Climate Change Initiative (Fire CCI) project, led by University of Alcala (Spain), is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThe Fire CCI focuses on the following issues relating to Fire Disturbance: Analysis and specification of scientific requirements relating to climate; Development and improvement of pre-processing and burned area algorithms; Inter-comparison and selection of burned area algorithms; System prototyping and production of burned area datasets; Product validation and product assessment\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [ { "ob_id": 10663, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_fire", "resolvedTerm": "fire" }, { "ob_id": 10213, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_fire", "resolvedTerm": "fire" } ], "identifier_set": [ 10213, 8993 ], "observationcollection_set": [ { "ob_id": 12683, "uuid": "bcef9e87740e4cbabc743d295afbe849", "short_code": "coll", "title": "ESA Fire Climate Change Initiative (Fire CCI) Dataset Collection", "abstract": "The ESA Fire Climate Change Initiative (Fire_cci) project is producing long-term datasets of burned area information from satellites, as part of the ESA Climate Change Initiative. The data is of use for those interested in historical burned patterns, fire management and emissions analysis and climate change research, by providing a consistent burned area time series. \r\n\r\nCurrent datasets consist of maps of global burned area for the years 1982 to 2019. Products are available at different spatial resolutions: the Pixel product (at the original resolution of the sensor data) and the Grid product (0.25 degrees resolution), the latter of which is produced from the Pixel product. They are based upon spectral information from different sensors, and in many cases also thermal information from active fires.\r\n\r\nGlobal products: \r\n\r\nFireCCI41: Medium Resolution Imaging Spectrometer (MERIS) reflectance, on board the ENVISAT ESA satellite, 300m spatial resolution, and MODIS active fires. Temporal resolution: 2005 – 2011.\r\nFireCCI50: Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and active fires, on board the TERRA satellite, 250m spatial resolution, temporal resolution: 2001 – 2016.\r\nFireCCI51: Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and active fires, on board the TERRA satellite, 250m spatial resolution, temporal resolution: 2001 – 2019.\r\n\r\nFireCCILT10 (beta product): Advanced Very High Resolution Radiometer (AVHRR) Land Long Term Data Record (LTDR) reflectance. Provided only as grid product. Temporal resolution: 1982-2017.\r\n\r\nContinental products:\r\n\r\nFireCCISFD11: Multispectral Instrument (MSI) reflectance, on board the Sentinel-2A satellite, 20 spatial resolution, and MODIS active fires. Temporal resolution: 2016, spatial coverage: Sub-Saharan Africa." } ], "responsiblepartyinfo_set": [ 74473, 74474, 74475, 74476, 142208, 142209, 142210, 74472, 75057, 75058, 75059, 75060, 75061, 75062, 75063, 75064, 75065, 75066, 75067, 75068, 75069, 75070, 75071, 75072, 75073, 75074, 75075, 75076 ], "onlineresource_set": [ 15419, 15418, 15860, 16528, 15416 ] }, { "ob_id": 19676, "uuid": "0473312cdc5748edb4c98da4a2553a91", "title": "MEdium Resolution Imaging Spectrometer (MERIS): Level 2 reprocessed retrieved parameters products", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC.\r\n\r\nThis dataset contains Level 2 retrieved parameters MERIS product.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:02:07", "updateFrequency": "notPlanned", "dataLineage": "Data acquired directly from European Space Agency (ESA) via a number of routes: File Transfer Protocol (FTP), Linear Tape-Open (LTO) tape transfer and Data Dissemination Service (DDS) link.", "removedDataReason": "", "keywords": "MERIS, Global Radiances, Sea Colour, Ocean Chlorophyll Content, Sediment, Cloud Parameters", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-12-10T15:24:56", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19677, "dataPath": "/neodc/meris/data/l2/reprocessed", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8449185047659, "numberOfFiles": 20283, "fileFormat": "Data are Envisat PDS formatted." }, "timePeriod": { "ob_id": 5171, "startTime": "2002-04-08T23:00:00", "endTime": "2007-03-09T23:59:59" }, "resultQuality": { "ob_id": 2211, "explanation": "Operational data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8345, "uuid": "0a89bcad4d914a638e77d90aa31f1400", "short_code": "cmppr", "title": "Composite Process for: Data from Envisat - MERIS at Envisat for the MEdium Resolution Imaging Spectrometer (MERIS) Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Envisat - MERIS at Envisat for the MEdium Resolution Imaging Spectrometer (MERIS) Project; \r\n2. 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MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22345, 22346, 23084, 23420, 25397, 25844, 25845, 25846, 25853, 25855, 25879, 25885, 25902, 25913, 25922, 25930, 25936, 25983, 25985, 25994, 26107, 26117, 26118, 26119, 26120, 26121, 26122, 26123 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 8338, "uuid": "f26559a9daeae9e6740811d3b3113716", "short_code": "coll", "title": "MEdium Resolution Imaging Spectrometer (MERIS) on-board the European Space Agency (ESA) Envisat Satellite: Global Radiances, Sea Colour, Ocean Chlorophyll Content, Sediment and Cloud Parameters", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC. \r\n\r\nThis dataset collection contains Level 1B radiances and Level 2 retrieved parameters products from 2002-2012." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 74481, 74482, 74484, 74485, 74486, 74487, 74488, 74483 ], "onlineresource_set": [ 15421 ] }, { "ob_id": 19679, "uuid": "0fd5b04099134175826af2a4a7b10ad3", "title": "SAGE III: Level 2 Cloud product data version 3, binary formatted", "abstract": "Stratospheric Aerosol and Gas Experiment III (SAGE III) was an instrument on board a Meteor-3M spacecraft, launched on December 10, 2001. Routine measurement operations began in March 2002 until the SAGE III mission was terminated in March 2006. The specific measurement objectives of SAGE III provide 1 km vertical resolution profiles of: aerosols and clouds at seven wavelengths from the mid-troposphere into the stratosphere and where appropriate, the mesosphere; O3 from the mid-troposphere to 85 km; H2O from the planetary boundary layer to 50 km; NO2 from the tropopause to 45 km; NO3 from 20 to 55 km; OClO from 15 to 25 km; and, O2 from the mid-troposphere to 70 km.\r\n\r\nThis dataset contains level 2 version 3 cloud product data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-05-15T10:12:21", "updateFrequency": "notPlanned", "dataLineage": "The Stratospheric Aerosol and Gas Experiment III (SAGE III) data were downloaded from the EOS Data Gateway, Langley DAAC Data Pool and it should be noted that the version number on that system represents the Earth Science Data Type version rather than the SAGE III Data version. Accordingly, the newly-released V3 data are stored as version '002'. Data and software supplied to the BADC by NASA Langley are stored in the BADC SAGE 3 archive.", "removedDataReason": "", "keywords": "SAGE III, aerosols, clouds", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-10T03:19:15", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 6, "bboxName": "SAGE orbits", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -80.0, "northBoundLatitude": 80.0 }, "verticalExtent": null, "result_field": { "ob_id": 19680, "dataPath": "/badc/sage3/data/g3acldb.003", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 32899528, "numberOfFiles": 92, "fileFormat": "Data are binary formatted" }, "timePeriod": { "ob_id": 154, "startTime": "2002-02-27T00:00:00", "endTime": "2005-12-01T23:59:59" }, "resultQuality": { "ob_id": 140, "explanation": "For details of quality control see user guide - http://data.ceda.ac.uk/badc/sage3/doc/sage3_data_products_users_guide.pdf", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 565, "uuid": "3a73f19b9f794c25a8977ea10c98fd17", "short_code": "cmppr", "title": "Composite Process for: Data from Stratospheric Aerosol and Gas Experiment III (SAGE III) at Meteor -3M satellite for the NASA Earth Observing System (EOS) Program", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Stratospheric Aerosol and Gas Experiment III (SAGE III) at Meteor -3M satellite for the NASA Earth Observing System (EOS) Program ; \n2. 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Routine measurement operations began in March 2002. The Meteor-3M mission, along with the SAGE III mission, was terminated on March 6, 2006, because of a power supply system failure resulting in loss of communication with the satellite.\r\n\r\nThe Meteor-3M spacecraft is an advanced model of the Meteor spacecraft that was developed over 30 years ago. The payload includes SAGE III and other instruments designed to measure temperature and humidity profiles, clouds, surface properties, and high energy particles in the upper atmosphere. Please see the SAGE III Instrument page for further technical details.\r\n\r\nSAGE III's role in the EOS program is to provide global, long-term measurements of key components of the Earth's atmosphere. The most important of these are the vertical distribution of aerosols and ozone from the upper troposphere through the stratosphere.\r\n\r\nIn addition, SAGE III also provides unique measurements of temperature in the stratosphere and mesosphere and profiles of trace gases such as water vapor and nitrogen dioxide that play significant roles in atmospheric radiative and chemical processes.\r\n\r\nThe primary scientific objective of the three SAGE III missions is to obtain high quality, global measurements of key components of atmospheric composition (See Table of Measurements) and their long-term variability.\r\n\r\nThese measurements are vital inputs to the global scientific community for improved understanding of climate, climate change, and human-induced ozone trends.\r\n\r\nThe specific measurement objectives of SAGE III provide 1 km vertical resolution profiles of: aerosols and clouds at seven wavelengths from the mid-troposphere into the stratosphere and where appropriate, the mesosphere; O3 from the mid-troposphere to 85 km; H2O from the planetary boundary layer to 50 km; NO2 from the tropopause to 45 km; NO3 from 20 to 55 km; OClO from 15 to 25 km; and, O2 from the mid-troposphere to 70 km." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21771, 21824, 21919, 21962, 22337, 22338, 22341, 22343, 25380, 25383, 25386, 25388, 25394, 25396, 25397, 25403, 25890 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 556, "uuid": "c06ec960d55c69e787ca339022e59c6c", "short_code": "coll", "title": "Stratospheric Aerosol and Gas Experiment III (SAGE III): Global Profiles of Aerosols and Clouds, Ozone, Nitrogen Dioxide and Water Vapour", "abstract": "This dataset collection contains global profiles of aerosols and clouds, ozone, nitrogen dioxide and water vapour from the Stratospheric Aerosol and Gas Experiment III (SAGE III) instrument on board a Meteor-3M spacecraft, launched on December 10, 2001. Routine measurement operations began in March 2002 until the SAGE III mission was terminated in March 2006. \r\n\r\nThe specific measurement objectives of SAGE III provided 1 km vertical resolution profiles of: aerosols and clouds at seven wavelengths from the mid-troposphere into the stratosphere and, where appropriate, the mesosphere; O3 from the mid-troposphere to 85 km; H2O from the planetary boundary layer to 50 km; NO2 from the tropopause to 45 km; NO3 from 20 to 55 km; OClO from 15 to 25 km; and, O2 from the mid-troposphere to 70 km." } ], "responsiblepartyinfo_set": [ 74499, 74500, 74493, 74494, 74496, 74497, 74498, 74495, 74501 ], "onlineresource_set": [ 15427 ] }, { "ob_id": 19681, "uuid": "f8293231ab524aa3b4bdf827212eafbc", "title": "SAGE III: Level 2 Lunar species profiles version 3, HDF-EOS formatted", "abstract": "Stratospheric Aerosol and Gas Experiment III (SAGE III) was an instrument on board a Meteor-3M spacecraft, launched on December 10, 2001. Routine measurement operations began in March 2002 until the SAGE III mission was terminated in March 2006. The specific measurement objectives of SAGE III provide 1 km vertical resolution profiles of: aerosols and clouds at seven wavelengths from the mid-troposphere into the stratosphere and where appropriate, the mesosphere; O3 from the mid-troposphere to 85 km; H2O from the planetary boundary layer to 50 km; NO2 from the tropopause to 45 km; NO3 from 20 to 55 km; OClO from 15 to 25 km; and, O2 from the mid-troposphere to 70 km.\r\n\r\nThis dataset contains level 2 version 3 lunar species profiles of chlorine dioxide, nitrogen dioxide, nitrogen trioxide and ozone.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-05-15T10:27:24", "updateFrequency": "notPlanned", "dataLineage": "The Stratospheric Aerosol and Gas Experiment III (SAGE III) data were downloaded from the EOS Data Gateway, Langley DAAC Data Pool and it should be noted that the version number on that system represents the Earth Science Data Type version rather than the SAGE III Data version. 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Research Flight (MRF) was a Met Office facility, which operated a well instrumented C-130 Hercules (also referred to as Mk.2 Hercules) aircraft for research purposes. The C-130 was in service from 1972 to 2001 and flew over 1800 research sorties. The large capacity and long endurance of this platform made it ideal for atmospheric research in the areas of cloud physics, atmospheric radiation, atmospheric chemistry, satellite activities, mesoscale meteorology and boundary layer studies.\r\n\r\nThe BADC holds data collected by the C-130 during NERC (Natural Environment Research Council) funded flights, such as those made during ACSOE (Atmospheric Chemistry Studies in the Oceanic Environment) and UTLS (Upper Troposphere - Lower Stratosphere) projects. The basic set of measurements include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. 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Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19729, "uuid": "07caa9a158294700afe55166160b5139", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 74772, 74777, 74774, 74775, 74778, 74776, 74779, 74773 ], "onlineresource_set": [ 15700, 15701 ] }, { "ob_id": 19746, "uuid": "320fec47a9184273a08d268137036e8d", "title": "ATSR-2: Multimission land and sea surface removal data, v2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains version 2.1 ATSR-2 Multimission land and sea surface removal data. These data were taken during calibration phase.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-05T20:08:14", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataReason": "", "keywords": "ATSR, Average Surface Temperature, AST", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19747, "dataPath": "/neodc/aatsr_multimission/atsr2-v2.1/data/removal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 62663986935, "numberOfFiles": 5369, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5184, "startTime": "1995-12-22T00:00:00", "endTime": "2001-11-28T23:59:59" }, "resultQuality": { "ob_id": 2170, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8103, "uuid": "0316aa1f132b4f8bae17a627271f6521", "short_code": "cmppr", "title": "Composite Process for: ATSR-1 Average Surface Temperature (AST) Product (AT1_AR__2P) v2.1", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ATSR-1 Average Surface Temperature (AST) Product (AT1_AR__2P) v2.1; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-1; \n" }, "imageDetails": [ 99 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2602, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "atsr_calval", "label": "restricted: atsr_calval group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19910, "uuid": "be02159d0d9b4ce49e9c90378206e283", "short_code": "proj", "title": "ATSR-2 Mission", "abstract": "Along-Track Scanning Radiometer (ATSR-2) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52527, 52528, 52529, 52530, 52531, 52532, 52533, 52534, 52535, 52536, 52537, 52538, 52539, 52540, 52541, 52542, 52544, 52545, 52546, 52547, 66277 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19730, "uuid": "ec976af94c3340b280c826252f4be842", "short_code": "coll", "title": "ATSR-2 Multimission land and sea surface product, version 2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 ATSR2 Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19731, "uuid": "3b1c1cf972b24db3b26dfd592f751a77", "short_code": "coll", "title": "ATSR-2 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR2 Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 74781, 74782, 74783, 74784, 74785, 74786, 74787, 74780 ], "onlineresource_set": [ 15702, 15703 ] }, { "ob_id": 19748, "uuid": "1d95d0bc906c47f5932929c28e927f06", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.4 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project - addendum", "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThese data are retrieved missing files that could not be added to the original dataset due to being published with a DOI (http://dx.doi.org/10.5285/4bcfa3a4-c7ec-4414-863d-caeceb21f16f) \r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-07-20T11:26:14", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the University of Reading partners of the VALOR project before preparation and delivery for archiving by the BADC. These missing files were added after the original dataset as an addendum. ", "removedDataReason": "", "keywords": "VALOR, RAPID-Watch", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-07-20T10:47:08", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19749, "dataPath": "/badc/rapid-watch/data/Sutton/VALOR/ORCA025_FOAM_addendum/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6884458729, "numberOfFiles": 8, "fileFormat": "Files are in NetCDF format. " }, "timePeriod": { "ob_id": 387, "startTime": "1989-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 315, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 1293, "uuid": "9adfa03544a443a8ba1f4a3aba380850", "short_code": "comp", "title": "University of Reading NEMO coupled ice-ocean model v3.2", "abstract": "This computation involved: Reading University Ocean Reanalysis Software deployed on Reading University computer. Reading University developed ocean reanalysis software which uses the NEMOv3.2 ocean model in configuration ORCA025_LIM (1/4 deg by 75 vertical levels). The model is forced with ECMWF ERA-Interim atmospheric reanalysis without corrections for radiation and precipitation and bulk fluxes calculated as in Large and Yeager (2004). The vertical grid has 75 levels with partial steps at the bottom. The data assimilation methodology is similar to what is currently employed in the UK Met Office operational FOAM - NEMO system (Storkey et al., 2010). It is an OI-type scheme with assimilation increments calculated using a first-guess-at-appropriate- time (FGAT) scheme every 5 days and introduced evenly over the period in an incremental analysis update (IAU) step. UR025.4 assimilates in situ and satellite-based SSTs, altimeter SLA from AVISO/CLS using the Rio et al. (2005) mean dynamic topography (MDT), in situ temperature and salinity profile observations obtained from the UK Met Office ENACT/ENSEMBLES (EN3_v2a_NoCWT_LevitusXBTMBT_ Corr) data set, which includes bias corrections for XBT and MDT data, and satellite-based sea ice concentrations from the EUMETSAT Ocean Sea Ice Satellite Application Facility (OSI-SAF).\r\n\r\n" }, "procedureCompositeProcess": null, "imageDetails": [ 24 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 1291, "uuid": "a4d5e011739f1e5be244c3b895804f38", "short_code": "proj", "title": "RAPID-WATCH - The Value of the RAPID array for climate predictions (VALOR)", "abstract": "The Atlantic Meridional Overturning Circulation (AMOC) involves a northward movement of warm surface waters balanced by a southward movement of cold deep waters. The net effect is to transport ~1PW of heat northwards. This heat is released to the atmosphere in mid-high latitudes, where it acts to warm the climate, notably in northern Europe. The future behaviour of the AMOC is an issue of major importance in climate prediction. Forecasts presented by the Intergovernmental Panel on Climate Change (IPCC) suggest that, in response to greenhouse gas forcing, the AMOC may slow down, reducing the northward transport of heat by the Atlantic Ocean, and leading to a cooling of northern Europe that could offset anthropogenic warming. Moreover, there is evidence from palaeoclimate records that the AMOC can undergo very rapid transitions such as a total shutdown within little more than a decade. \r\n\r\nIt is possible that increasing levels of greenhouse gases could trigger such a rapid change with potentially serious consequences for societies in Europe and other regions surrounding the Atlantic basin. In the face of such risks, there is an obvious need for better, more quantitative, forecasts of the future behaviour of the AMOC. Such forecasts could provide early warning of possible rapid changes in the AMOC in future The RAPID array is a measurement system for observing the current state of the AMOC. \r\n\r\nThe overarching goal of the VALOR project was to assess the value of these observations for predicting the future behaviour of the AMOC, and its impacts on climate. The project explored a range of issues concerning the design of a potential AMOC prediction system. To achieve its goals VALOR exploited the RAPID observations in a variety of ways. First the observations were used as independent data to assess the quality of current ocean \"analyses\" (An \"analysis\" provides a quantitative description of the state of the ocean at a given time.). Next, they were used to improve the analyses. Finally, they were used to provide the starting conditions for a large set of \"hindcasts\". Hindcasts are predictions made from a date in the past, which only make use of information that would have been available at that date. These predictions can then be compared to what actually happened to assess prediction skill. \r\n\r\nVALOR carried out a suite of hindcast experiments to quantify the extent to which the RAPID observations can improve the skill of predictions of the AMOC and its impacts on climate. An important dimension of the project is that it involves agencies who are directly involved in operational climate forecasting: the Met Office Hadley Centre (MOHC) and the European Centre for Medium Range Weather Forecasting. By involving these partners from the start the project will benefit from their experience and expertise, and the scientific advances achieved through the research will feed directly into better climate predictions." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50623, 50624, 50626, 50627, 50628, 50629, 50630, 50631, 50632, 50633, 50634, 50635, 50636, 50637, 50638, 50648, 50649, 50650, 50651, 63050, 69193 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 1288, "uuid": "6d174866bffa027564340a4cd561ddfa", "short_code": "coll", "title": "RAPID-WATCH VALOR: NEMO, FOAM AND ECMWF Model output", "abstract": "RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future climate and, particularly, the future state of the AMOC.\r\n\r\nThis dataset collection contains NEMO, FOAM AND ECMWF Model output.\r\n\r\nThe project developed ways to assimilate the RAPID-WATCH and other ocean observations into ocean models which were then used to produce ocean 'syntheses' - complete data sets of our best guess of past ocean state. Similar syntheses were also produced which exclude the RAPID-WATCH observations. Both of these sytheses were then used to start prediction experiments in climate models. By comparing the climate model simulations starting with and without the RAPID-WATCH observations, the impact of the the RAPID-WATCH array observations on climate predictions, and the climate model AMOC were found." } ], "responsiblepartyinfo_set": [ 74788, 74789, 74790, 74791, 74794, 74796, 74799, 74792, 74793, 74795, 74797, 74798 ], "onlineresource_set": [ 15704, 15705, 15706 ] }, { "ob_id": 19751, "uuid": "590adf7dbf6c4525bbcbbb08623d1e05", "title": "Active Magnetospheric Particle Tracer Explorers (AMPTE): Slide data", "abstract": "Active Magnetospheric Particle Tracer Explorer (AMPTE) was a three spacecraft mission, a collaboration between Germany, the UK and the USA. \r\n\r\nThis dataset contains slide data collected by two of the three spacecraft: the Ion Release Module (IRM), supplied by Germany, and the Charge Composition Explorer (CCE), supplied by the USA\r\n\r\nFor access of these data contact the UKSSDC.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "AMPTE, spacecraft, sun", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19800, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "paper" }, "timePeriod": { "ob_id": 3046, "startTime": "1984-08-15T23:00:00", "endTime": "1986-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19803, "uuid": "f6e2da134d084f6884f2e436dfb50730", "short_code": "proj", "title": "AMPTE (Active Magnetospheric Particle Tracer Explorers)", "abstract": "The AMPTE (Active Magnetospheric Particle Tracer Explorers) mission was designed to study the access of solar-wind ions to the magnetosphere, the convective-diffusive transport and energization of magnetospheric particles, and the interactions of plasmas in space. The mission consisted of three spacecraft: the CCE; the IRM, which provided multiple ion releases in the solar wind, the magnetosheath, and the magnetotail, with in situ diagnostics of each; and the UKS, which uses thrusters to keep station near the IRM to provide two-point local measurements. The CCE (Charge Composition Explorer) spacecraft was instrumented to detect those lithium and barium tracer ions from the IRM releases that were transported into the magnetosphere within the CCE orbit. The spacecraft was spin-stabilized at 10 rpm, with its spin axis in the equatorial plane, and offset from the earth-sun line by about 20 deg. It could adjust attitude with both magnetic torquing and cold gas thrusters. The CCE used a 2.E8-bit tape recorder and redundant 2.5-W S-band transponders. The spacecraft battery was charged by a 140-W solar array. " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10958, "uuid": "0e4f8c7a20b016c76a87feb229db2767", "short_code": "coll", "title": "Active Magnetospheric Particle Tracer Explorers (AMPTE) data", "abstract": "Active Magnetospheric Particle Tracer Explorer (AMPTE) was a three spacecraft mission, a collaboration between Germany, the UK and the USA. \r\n\r\nThis dataset collection contains summary plots of data collected by two of the three spacecraft: the Ion Release Module (IRM), supplied by Germany, and the Charge Composition Explorer (CCE), supplied by the USA.\r\n\r\nOn board the IRM: \r\n- Magnetometer \r\n- Plasma instrument: measures ion and electron distributions \r\n- Plasma wave spectrometer: measures electric fields \r\n- Ion time-of-flight spectrometer: measures charge and mass of all major ions \r\nOn board the CCE: \r\n- CHEM (CHarge Energy Mass): measures mass and charge-state compositions as well as energy spectra and pitch-angle distributions \r\n- HPCE (Hot-Plasma Composition Experiment): includes an ion-mass spectrometer and electron background-environment monitor \r\n\r\nSummary plots are lower resolution than capable by the instruments and generally noisy. These are useful for an overview of datum, in order to find interesting events.\r\n\r\nFor access of these data please contact UKSSDC." }, { "ob_id": 19772, "uuid": "e0ef6223c51544e1a6cc6e5e3a472f06", "short_code": "coll", "title": "UK Solar System Data Centre (UKSSDC) physical archive collection", "abstract": "This dataset collection covers the physical archive of solar wind measurements held by the UK Solar System Data Centre (UKSSDC) from a variety of historical sources, including various satellite and ground-based instrumentation.\r\n\r\nFor access to these data please contact the UKSSDC." } ], "responsiblepartyinfo_set": [ 74800, 74802, 74801, 74804, 74817, 74805, 74806, 74803 ], "onlineresource_set": [] }, { "ob_id": 19752, "uuid": "b9d3cd0654be4360b295e0e277897d4c", "title": "Active Magnetospheric Particle Tracer Explorers (AMPTE): Tape data", "abstract": "Active Magnetospheric Particle Tracer Explorer (AMPTE) was a three spacecraft mission, a collaboration between Germany, the UK and the USA. \r\n\r\nThis dataset contains tape data collected by two of the three spacecraft: the Ion Release Module (IRM), supplied by Germany, and the Charge Composition Explorer (CCE), supplied by the USA\r\n\r\nFor access of these data contact the UKSSDC.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "AMPTE, spacecraft, sun", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19765, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Tape" }, "timePeriod": { "ob_id": 3046, "startTime": "1984-08-15T23:00:00", "endTime": "1986-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19803, "uuid": "f6e2da134d084f6884f2e436dfb50730", "short_code": "proj", "title": "AMPTE (Active Magnetospheric Particle Tracer Explorers)", "abstract": "The AMPTE (Active Magnetospheric Particle Tracer Explorers) mission was designed to study the access of solar-wind ions to the magnetosphere, the convective-diffusive transport and energization of magnetospheric particles, and the interactions of plasmas in space. The mission consisted of three spacecraft: the CCE; the IRM, which provided multiple ion releases in the solar wind, the magnetosheath, and the magnetotail, with in situ diagnostics of each; and the UKS, which uses thrusters to keep station near the IRM to provide two-point local measurements. The CCE (Charge Composition Explorer) spacecraft was instrumented to detect those lithium and barium tracer ions from the IRM releases that were transported into the magnetosphere within the CCE orbit. The spacecraft was spin-stabilized at 10 rpm, with its spin axis in the equatorial plane, and offset from the earth-sun line by about 20 deg. It could adjust attitude with both magnetic torquing and cold gas thrusters. The CCE used a 2.E8-bit tape recorder and redundant 2.5-W S-band transponders. The spacecraft battery was charged by a 140-W solar array. " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10958, "uuid": "0e4f8c7a20b016c76a87feb229db2767", "short_code": "coll", "title": "Active Magnetospheric Particle Tracer Explorers (AMPTE) data", "abstract": "Active Magnetospheric Particle Tracer Explorer (AMPTE) was a three spacecraft mission, a collaboration between Germany, the UK and the USA. \r\n\r\nThis dataset collection contains summary plots of data collected by two of the three spacecraft: the Ion Release Module (IRM), supplied by Germany, and the Charge Composition Explorer (CCE), supplied by the USA.\r\n\r\nOn board the IRM: \r\n- Magnetometer \r\n- Plasma instrument: measures ion and electron distributions \r\n- Plasma wave spectrometer: measures electric fields \r\n- Ion time-of-flight spectrometer: measures charge and mass of all major ions \r\nOn board the CCE: \r\n- CHEM (CHarge Energy Mass): measures mass and charge-state compositions as well as energy spectra and pitch-angle distributions \r\n- HPCE (Hot-Plasma Composition Experiment): includes an ion-mass spectrometer and electron background-environment monitor \r\n\r\nSummary plots are lower resolution than capable by the instruments and generally noisy. These are useful for an overview of datum, in order to find interesting events.\r\n\r\nFor access of these data please contact UKSSDC." }, { "ob_id": 19772, "uuid": "e0ef6223c51544e1a6cc6e5e3a472f06", "short_code": "coll", "title": "UK Solar System Data Centre (UKSSDC) physical archive collection", "abstract": "This dataset collection covers the physical archive of solar wind measurements held by the UK Solar System Data Centre (UKSSDC) from a variety of historical sources, including various satellite and ground-based instrumentation.\r\n\r\nFor access to these data please contact the UKSSDC." } ], "responsiblepartyinfo_set": [ 74807, 74808, 74809, 74811, 74812, 74814, 74813, 74810 ], "onlineresource_set": [] }, { "ob_id": 19756, "uuid": "c79b18c2fcdf41ada4b8e1562bea7411", "title": "Geomagnetic Daily Indices Reports: PRESTO", "abstract": "This dataset consists of PRESTO paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "neeeded", "removedDataReason": "", "keywords": "Geomagnetic Indices Reports, PRESTO", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19782, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/bulletins/presto", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10940, "uuid": "c8ab45acebe2e0c38d1ee5a9abdfac3f", "short_code": "coll", "title": "Geomagnetic Indices Reports", "abstract": "This dataset collection consists of paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 74831, 74832, 74833, 74835, 74837, 74838, 74836, 74834 ], "onlineresource_set": [ 15729 ] }, { "ob_id": 19758, "uuid": "afed8436512e4bc1b02320e18132815f", "title": "Geomagnetic Daily Indices Reports: Geo Alert", "abstract": "This dataset consists of geo alert paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "neeeded", "removedDataReason": "", "keywords": "Geomagnetic Indices Reports, geo alert", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19781, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/bulletins/geoalert", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10940, "uuid": "c8ab45acebe2e0c38d1ee5a9abdfac3f", "short_code": "coll", "title": "Geomagnetic Indices Reports", "abstract": "This dataset collection consists of paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 74847, 74848, 74842, 74843, 74845, 74841, 74846, 74844 ], "onlineresource_set": [ 15730 ] }, { "ob_id": 19759, "uuid": "b9bae3ebc72643b0a91396064097bf74", "title": "Geomagnetic Daily Indices Reports: Monthly sunspot numbers", "abstract": "This dataset consists of monthly sunspot reports of various geomagnetic indices, global and local, from a range of observatories. 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Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 74850, 74851, 74852, 74853, 74854, 74849, 74856, 74855 ], "onlineresource_set": [ 15731 ] }, { "ob_id": 19760, "uuid": "db756b9651da4e11b9ca2a0c3cce64b1", "title": "Geomagnetic Daily Indices Reports: Monthly IF2 and IG", "abstract": "This dataset consists of monthly IF2 and IG reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "neeeded", "removedDataReason": "", "keywords": "Geomagnetic Indices Reports", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19779, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/bulletins/if2igmb.lis", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10940, "uuid": "c8ab45acebe2e0c38d1ee5a9abdfac3f", "short_code": "coll", "title": "Geomagnetic Indices Reports", "abstract": "This dataset collection consists of paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 74868, 74862, 74863, 74864, 74866, 74865, 74861, 74867 ], "onlineresource_set": [ 15732 ] }, { "ob_id": 19761, "uuid": "2413d567033a4915bf1457c7b362c79b", "title": "Geomagnetic Daily Indices Reports: Quaterly IF2 and IG", "abstract": "This dataset consists of quarterly IF2 and IG reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "neeeded", "removedDataReason": "", "keywords": "Geomagnetic Indices Reports", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19778, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/bulletins/if2igqb.lis", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10940, "uuid": "c8ab45acebe2e0c38d1ee5a9abdfac3f", "short_code": "coll", "title": "Geomagnetic Indices Reports", "abstract": "This dataset collection consists of paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 74874, 74870, 74871, 74872, 74873, 74875, 74876, 74869 ], "onlineresource_set": [ 15733 ] }, { "ob_id": 19762, "uuid": "980a7c11d834455eb75752fdf7830719", "title": "Geomagnetic Daily Indices Reports: Forecast IF2 and IG", "abstract": "This dataset consists of forecast IF2 and IG reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "neeeded", "removedDataReason": "", "keywords": "Geomagnetic Indices Reports", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19763, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/bulletins/if2igfc.lis", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Reports are encoded in ASCII characters" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10940, "uuid": "c8ab45acebe2e0c38d1ee5a9abdfac3f", "short_code": "coll", "title": "Geomagnetic Indices Reports", "abstract": "This dataset collection consists of paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 74879, 74880, 74881, 74882, 74878, 74883, 74884, 74877 ], "onlineresource_set": [ 15734 ] }, { "ob_id": 19768, "uuid": "c57d3e07c72249c38fe6b019924119d5", "title": "Magnetometer", "abstract": "Magnetometer", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "Magnetometer", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19769, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Paper" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19772, "uuid": "e0ef6223c51544e1a6cc6e5e3a472f06", "short_code": "coll", "title": "UK Solar System Data Centre (UKSSDC) physical archive collection", "abstract": "This dataset collection covers the physical archive of solar wind measurements held by the UK Solar System Data Centre (UKSSDC) from a variety of historical sources, including various satellite and ground-based instrumentation.\r\n\r\nFor access to these data please contact the UKSSDC." }, { "ob_id": 19770, "uuid": "56b5a6228e3f4afd95906ce6146b0c0a", "short_code": "coll", "title": "Magnetometer", "abstract": "Magnetometer" } ], "responsiblepartyinfo_set": [ 74889, 74887, 74885, 74890, 74886, 74892, 74891, 74888 ], "onlineresource_set": [] }, { "ob_id": 19785, "uuid": "0aec60da55ff46d794897760879acd48", "title": "NGDC Scanned images", "abstract": "The digitising of the Royal Observatory Greenwich Photo-Heliographic Results was a joint project between the National Geophysical Data Center (NGDC) and the UK Solar System Data Centre (UKSSDC), in order to preserve the physical copies as well as to easily distribute the copies. The originals are held at NGDC and UKSSDC if required.\r\n\r\nThe difference in the quality of copies comes from the different methods used to digitise the Photo-Heliographic Results.\r\n\r\nPublications containing errors have been annotated to link errors to the relevant errata. Annotated PDFs are marked with the suffix \"(Annotated)\".\r\n\r\nThe data in the 1874 and 1875 books are presented in a format that was changed after a few years. The data are repeated in the '1877 Greenwich Astronomical Results' book with angles given in degrees and minutes, and is repeated again in the '1874-1885 Greenwich Photo-Heliographic Results' book in decimal degrees (the format used from 1881 December 22).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "GDC Scanned images", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19818, "dataPath": 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"onlineresource_set": [] }, { "ob_id": 19788, "uuid": "85168bf5e6ee4733b8f9d486890148f6", "title": "Solar digisted images glass plates", "abstract": "Solar digisted images glass plates", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "Solar images glass plates", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19819, "dataPath": "http://www.ukssdc.ac.uk/cgi-bin/wdcc1/secure/rog_image_availability.pl", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "images" }, "timePeriod": null, 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The images are currently available on glass plates held by the UK Solar System Data Centre in its archive at the Rutherford Appleton Laboratory. This secures and improves accessibility to a valuable environmental data resource.\r\n\r\nNERC Reference: NE/L013002/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19784, "uuid": "a99198f0abf447ea85eebcf1385284e3", "short_code": "coll", "title": "Solar data", "abstract": "This dataset collection contains solar data from UKSSDC:\r\n-Royal Observatory Greenwich Solar Images (1903-1942)\r\n-Royal Observatory Greenwich Photo-Heliographic Reports (1874-1976)\r\n-Solar images glass plates\r\n-GDC scanned images\r\n-Solar digisted images glass plates" } ], "responsiblepartyinfo_set": [ 74941, 74945, 74946, 74948, 74947, 74942, 74944, 74943 ], "onlineresource_set": [] }, { "ob_id": 19793, "uuid": "e68742b4c4724559b704b29a15981c76", "title": "Digitised films", "abstract": "Digitised films", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "asNeeded", "dataLineage": "Data are collated by the UK Solar System Data Centre as part of its role as a World Data Centre (WDC)", "removedDataReason": "", "keywords": "Ionosonde, Digitised films", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19794, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "film" }, "timePeriod": { "ob_id": 3044, "startTime": "1930-01-01T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. The result is displayed in the form of an ionogram, a graph of reflection height (actually time between transmission and reception of pulse) versus carrier frequency.\r\n\r\nThis dataset collection contains ionosonde data from the UKSSDC:\r\n-Ionosonde station data\r\n-Raw Data from Digital Ionosondes for COST-271 Action Effects of the Upper Atmosphere on Terrestrial and Earth-Space Communications\r\n-Bulletins\r\n-Raw Digital Ionosonde Data Tapes\r\n-Digitised bulletins\r\n-Digitised films\r\n-Scanned version of paper ionograms\r\n-Scaled paper Ionosonde Data Bulletins" } ], "responsiblepartyinfo_set": [ 74954, 74955, 74956, 74949, 74950, 74951, 74953, 74952 ], "onlineresource_set": [] }, { "ob_id": 19795, "uuid": "87e8b101187643d382dc2c01277bd193", "title": "Scanned version of paper ionograms", "abstract": "Scanned version of paper ionograms", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "asNeeded", "dataLineage": "Data are collated by the UK Solar System Data Centre as part of its role as a World Data Centre (WDC)", "removedDataReason": "", "keywords": "Ionosonde, ionograms", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19796, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "paper" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. The result is displayed in the form of an ionogram, a graph of reflection height (actually time between transmission and reception of pulse) versus carrier frequency.\r\n\r\nThis dataset collection contains ionosonde data from the UKSSDC:\r\n-Ionosonde station data\r\n-Raw Data from Digital Ionosondes for COST-271 Action Effects of the Upper Atmosphere on Terrestrial and Earth-Space Communications\r\n-Bulletins\r\n-Raw Digital Ionosonde Data Tapes\r\n-Digitised bulletins\r\n-Digitised films\r\n-Scanned version of paper ionograms\r\n-Scaled paper Ionosonde Data Bulletins" } ], "responsiblepartyinfo_set": [ 74957, 74958, 74959, 74962, 74964, 74960, 74961, 74963 ], "onlineresource_set": [] }, { "ob_id": 19797, "uuid": "676d7fef735b49d5926d3a38fc239d09", "title": "Digitised bulletins", "abstract": "Digitised bulletins", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "asNeeded", "dataLineage": "Data are collated by the UK Solar System Data Centre as part of its role as a World Data Centre (WDC)", "removedDataReason": "", "keywords": "Ionosonde, Digitised bulletins", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19820, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/ionosondes/secure/iono_data.shtml", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. The result is displayed in the form of an ionogram, a graph of reflection height (actually time between transmission and reception of pulse) versus carrier frequency.\r\n\r\nThis dataset collection contains ionosonde data from the UKSSDC:\r\n-Ionosonde station data\r\n-Raw Data from Digital Ionosondes for COST-271 Action Effects of the Upper Atmosphere on Terrestrial and Earth-Space Communications\r\n-Bulletins\r\n-Raw Digital Ionosonde Data Tapes\r\n-Digitised bulletins\r\n-Digitised films\r\n-Scanned version of paper ionograms\r\n-Scaled paper Ionosonde Data Bulletins" } ], "responsiblepartyinfo_set": [ 74970, 74966, 74967, 74972, 74969, 74968, 74965, 74971 ], "onlineresource_set": [] }, { "ob_id": 19813, "uuid": "586ae7b2386741babc69c03a244264fd", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Merged SCIAMACHY and GOSAT Level 3 gridded atmospheric column-average methane (XCH4) product in Obs4MIPs format", "abstract": "This dataset contains satellite-derived atmospheric column-average dry-air mole fractions of methane (XCH4), and is a Level 3 gridded product in Obs4MIPs format. It has been derived by the Greenhouse Gases CCI (GHG_cci) project as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme, and was obtained from an ensemble of individual Level 2 (i.e. swath) XCH4 products, retrieved from the satellite sensors SCIAMACHY / ENVISAT and TANSO-FTS / GOSAT. The versions of the Level 2 GHG-CCI data products used as input for this product are those of the GHG_cci \"Climate Research Data Package No. 3\" (CRDP#3).\r\n\r\nThis Level 3 Obs4MIPs XCH4 product has been specifically generated for comparisons with climate model output in the context of the CMIP5/CMIP6/IPCC experiments.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-07-26T08:32:19.062102", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "CCI, GHG, Obs4MIPS, methane, ESA", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-10-10T09:07:19", "doiPublishedTime": "2016-10-10T09:07:21", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19980, "dataPath": "/neodc/esacci/ghg/data/obs4mips/crdp_3/CH4/v100/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10461082, "numberOfFiles": 2, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 5242, "startTime": "2003-01-01T00:00:00", "endTime": "2014-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2564, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 34, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13295, "uuid": "f0c66ffa30514d2daee821286a014b16", "short_code": "proj", "title": "ESA Greenhouse Gases Climate Change Initiative Project", "abstract": "The European Space Agency Greenhouse Gases Climate Change Initiative (GHG CCI) project is one of several projects of ESA's Climate Change Initiative (CCI), which will deliver various Essential Climate Variables (ECVs)\r\n\r\nCarbon dioxide (CO2) and methane (CH4) are the two most important anthropogenic greenhouse gases (GHGs) and a focus of international research activities related to a better understanding of the carbon cycle (see, for example, the Global Carbon Project (GCP)).\r\n \r\nWithin the GHG-CCI project the focus is on satellite data. Satellite observations combined with modelling can add important missing global information on regional CO2 and CH4 (surface) sources and sinks required for better climate prediction. The GHG CCI project started on the 1st September 2010." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 18948, 18949, 18951, 18952, 18953, 50416, 50559, 50561, 89572 ], "vocabularyKeywords": [ { "ob_id": 10130, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org28", "resolvedTerm": "Institute of Environmental Physics" }, { "ob_id": 10139, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org61", "resolvedTerm": "University of Bremen" } ], "identifier_set": [ 9002 ], "observationcollection_set": [ { "ob_id": 12808, "uuid": "0508f3dd991144aa80346007a415fb07", "short_code": "coll", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci) dataset collection", "abstract": "The Greenhouse Gases Climate Change Initiative (GHG_cci) data products are near-surface-sensitive dry-air column-averaged mole fractions (mixing ratios) of methane (CH4) and carbon dioxide (CO2), created as part of the European Space Agency's (ESA) Greenhouses Gases Essential Climate Variable (ECV) CCI project. Denoted XCO2 (in ppmv) and XCH4 (in ppbv), the products have been retrieved from the SCIAMACHY instrument on ENVISAT and TANSO-FTS onboard GOSAT, using ECV Core Algorithms (ECAs). Other satellite instruments such as IASI, MIPAS and ACE-FTS have also been used to provide constraints for upper layers, with their corresponding retrieval algorithms referred to as Additional Constraints Algorithms (ACAs). The GHG data products are typically updated annually, the corresponding datasets being called Climate Research Data Packages (CRDP). \r\n\r\nThe products have each been generated from individual sensors, a single merged product not having yet been created \"combining\" the products from different sensors to cover the entire available satellite time series. One merged product has however been generated using the EMMA algorithm, covering a limited time period. This EMMA product is mainly used as a comparison tool for products generated using individual algorithms, making up the collection of products used by EMMA. \r\n\r\nTypically the same product (e.g. XCO2 from GOSAT) has been generated using different retrieval algorithms. A baseline algorithm has been used to generate one recommended baseline product, for users unsure which product to choose. Other products are called alternative products. However an alternative product's quality may equal that of the corresponding baseline product. It typically depends upon the application for which a product is required, which product is best to use as methods involved in producing them typically have varying strength and weaknesses. \r\n\r\nFor further information on the products, such as details on the SCIAMACHY and TANSO instruments, the algorithms used to generate the data and the data's format, please see the Product Specification Document (PSD) in the documentation section." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 76178, 76189, 76187, 76190, 76188, 76186, 193393, 193394, 76191, 76179, 76239, 76240, 76241, 76242, 76243, 76244, 76245, 76246, 76247 ], "onlineresource_set": [ 16602, 16732 ] }, { "ob_id": 19821, "uuid": "e1adf6e3e8f9413da4852cba7d9c39fa", "title": "Ditton Park Archive: radio research physical parent specifications (1917-1927)", "abstract": "This dataset contains of parent specification records chronicling the pioneering radio research work that was carried out at Ditton Park in Slough from 1924 to 1979.\r\n\r\nIn 1920 the Department of Scientific and Industrial Research formed the Radio Research Board (which located at Ditton Park in 1924) to undertake valuable research into radio science. This was the beginning of a high-quality scientific establishment that was led by a team of enthusiastic and expert scientists including Admiral of the Fleet Sir Henry Jackson, Sir Edward Appleton, Sir Robert Watson-Watt, Robert Naismith and Reginald Leslie Smith-Rose.\r\n\r\nThe records in the archive include 1930s Appleton ionogram graphs, ionospheric recording books and correspondence between the Station and its employees working at Tromso in Norway for the 1932 International Polar Year.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The records have been retained by the World Data Centre at the Rutherford Appleton Laboratory in Chilton, Oxfordshire since September 1979. 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Over the years the Station amended its research programme to remain at the forefront of radio science while introducing new fields of study, this was reflected in the growth of space science research from the late 1950s.\r\n\r\nFollowing several name changes, the Station became the Appleton Laboratory in 1973 and remained so until the merger with the Rutherford Laboratory at Chilton in Oxfordshire in 1979.\r\n\r\nThe records in the archive include 1930s Appleton ionogram graphs, ionospheric recording books and correspondence between the Station and its employees working at Tromso in Norway for the 1932 International Polar Year.\r\n\r\nThe early work of the Station is recorded in the minutes of meetings and scientific reports while small collections of correspondence by members of the scientific staff are informative about specific projects and collaborations with other institutes within the United Kingdom and internationally.\r\n\r\nThere is a sizeable collection of photographs that provide a fascinating history of the facilities and equipment used and developed at the Station." } ], "responsiblepartyinfo_set": [ 75096, 75097, 75100, 75101, 75102, 75103, 75098, 75099, 75104, 75105, 75106, 75107, 75108, 75109, 75110, 75111, 75112 ], "onlineresource_set": [ 15910 ] }, { "ob_id": 19822, "uuid": "da2cbd8729374098b2beae671bf6d072", "title": "Ditton Park Archive: radio research physical photographs (1898-1981)", "abstract": "This dataset contains of photograph records chronicling the pioneering radio research work that was carried out at Ditton Park in Slough from 1898 to 1981.\r\n\r\nPhotographs of people, equipment and buildings relating to the work carried out at Ditton Park.\r\nThe photographs are in black and white color and date from 1898 to c.1981.\r\n\r\nIn 1920 the Department of Scientific and Industrial Research formed the Radio Research Board (which located at Ditton Park in 1924) to undertake valuable research into radio science. 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This was the beginning of a high-quality scientific establishment that was led by a team of enthusiastic and expert scientists including Admiral of the Fleet Sir Henry Jackson, Sir Edward Appleton, Sir Robert Watson-Watt, Robert Naismith and Reginald Leslie Smith-Rose.\r\n\r\nThe Radio Research Station (as it became known) was home to the invention of radar by Robert Watson-Watt and authoritative studies on ionospheric science. 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This was the beginning of a high-quality scientific establishment that was led by a team of enthusiastic and expert scientists including Admiral of the Fleet Sir Henry Jackson, Sir Edward Appleton, Sir Robert Watson-Watt, Robert Naismith and Reginald Leslie Smith-Rose.\r\n\r\nThe records in the archive include 1930s Appleton ionogram graphs, ionospheric recording books and correspondence between the Station and its employees working at Tromso in Norway for the 1932 International Polar Year.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The records have been retained by the World Data Centre at the Rutherford Appleton Laboratory in Chilton, Oxfordshire since September 1979. 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Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:11:36", "updateFrequency": "notPlanned", "dataLineage": "Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, CFARR, Chilbolton, Raman lidar, UV", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2004-08-25T10:50:24", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 63, "bboxName": "", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19836, "dataPath": "/badc/csip/data/cfarr-lidar-uv/csip_main/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9629358, "numberOfFiles": 21, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5191, "startTime": "2005-07-12T23:00:00", "endTime": "2005-08-25T22:59:59" }, "resultQuality": { "ob_id": 877, "explanation": "Data are checked by CFARR staff prior to submission to BADC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3575, "uuid": "a6d6f5dc8ec040f7bb45111088e25663", "short_code": "acq", "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) 355 nm Ultra Violet Raman Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 11972, "uuid": "81ea58f6728e8240f228e04f20034299", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP) Field Campaign", "abstract": "The Convective Storm Initiation Project (CSIP) ran a 3 month long field campaign during June, July and August 2005 in southern England during which period a dense network of instruments were deployed over a large area centred on the Chilbolton Facility for Atmospheric and Radar Research (CFARR) in Hampshire, England. During this field campaign a number of \"Intense Observational Periods\" were undertaken on days of notable convective activity in order to utilise the available suite of deployed ground and airborne atmospheric instrumentation to study the meteorogical conditions during the development and subsequent life of active convective cells. This field campaign followed on from an earlier pilot field campaign in June 2004." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22455, 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55841, 55843 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 75245, 75246, 75247, 75251, 75252, 75254, 75257, 75249, 75248, 75250, 75253, 75255, 75256 ], "onlineresource_set": [] }, { "ob_id": 19837, "uuid": "d2ad4b24782a4121a8bd2747596408bd", "title": "CAESAR: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties.\r\n\r\nData have been collected by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-12-04T08:51:36", "updateFrequency": "notPlanned", "dataLineage": "Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.", "removedDataReason": "", "keywords": "CAESAR, CFARR, Chilbolton, Raman lidar, UV", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 63, "bboxName": "", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19838, "dataPath": "/badc/caesar/data/cfarr-lidar-uv", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15598089, "numberOfFiles": 15, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5192, "startTime": "2007-02-06T00:00:00", "endTime": "2007-09-13T22:59:59" }, "resultQuality": { "ob_id": 877, "explanation": "Data are checked by CFARR staff prior to submission to BADC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3575, "uuid": "a6d6f5dc8ec040f7bb45111088e25663", "short_code": "acq", "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) 355 nm Ultra Violet Raman Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 50 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 3569, "uuid": "c2e6fe2d8880e1c814d29cf2cb710ebb", "short_code": "proj", "title": "Cirrus and Anvils: European Satellite and Airborne Radiation (CAESAR) project", "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. Flights using the FAAM BAE-146 were used to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and AATSR satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. Aircraft measurements were used to obtain vertical and horizontal distribution of ice crystal size, shape and IWC during summer and winter periods." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22455, 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55841, 55842, 55843, 55844, 55845 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 7378, "uuid": "ac73aca8c271d8c763eef1040987be62", "short_code": "coll", "title": "Cirrus and Anvils: European Satellite and Airborne Radiation measurements (CAESAR) Project Data from FAAM (Facility for Airborne Atmospheric Measurements) and Chilbolton Observatory", "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. \r\n\r\nThis dataset collection contains atmospheric measurements of vertical and horizontal distribution of ice crystal size, shape and ice water content and meteorology during summer and winter periods. \r\n\r\nData were obtained by Flights using the FAAM BAE-146 to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and Advanced Along-Track Scanning Radiometer (AATSR) satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. The winter FAAM campaign ran from 14 November 2005 17 December 2005 and the summer FAAM campaign ran from 3-17 May 2006." } ], "responsiblepartyinfo_set": [ 75263, 75265, 75267, 75268, 75258, 75259, 75260, 75262, 75261, 75264, 75266, 75269, 75270 ], "onlineresource_set": [] }, { "ob_id": 19839, "uuid": "abc997f656d64ad384dab3ea88a3441f", "title": "APPRAISE ADIENT and EM25: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation.\r\n\r\nThe Emissions around the M25 motorway (EM25) campaign took place over the megacity of London in the United Kingdom in June 2009 with the aim of characterising trace gas and aerosol composition and properties entering and emitted from the urban region\r\n\r\nData have been collected by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-05-21T13:41:50", "updateFrequency": "notPlanned", "dataLineage": "Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.", "removedDataReason": "", "keywords": "ADIENT, EM25, CFARR, Chilbolton, Raman lidar, UV", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 63, "bboxName": "", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19840, "dataPath": "/badc/appraise/data/adient/cfarr-lidar-uv/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35709236, "numberOfFiles": 33, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5193, "startTime": "2009-05-31T23:00:00", "endTime": "2009-06-25T22:59:59" }, "resultQuality": { "ob_id": 877, "explanation": "Data are checked by CFARR staff prior to submission to BADC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3575, "uuid": "a6d6f5dc8ec040f7bb45111088e25663", "short_code": "acq", "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) 355 nm Ultra Violet Raman Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 50 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6521, "uuid": "88c0f40600399ec1bd84a52277ee7fe2", "short_code": "proj", "title": "APPRIASE - ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project", "abstract": "The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aims to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales. The aim of the aircraft work is to provide quality controlled in-situ measurements for the ADIENT project concerning UK and EU anthropogenic aerosol composition, microphysics and radiative properties and radiative impact.\r\n\r\nThe ADIENT project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nRelated FAAM BAE-146 flights:\r\n\r\nManchester: Aerosol Mass Spectrometer : b333, b334, b335, b355, b356, b357, b362,b363, b364,b365, b366, b367, b368, b369, b370, b371, b372, b373, b374, b379, b380, b401,b402,b406 \r\n\r\nManchester:Single Particle Soot Photometer : b355, b356, b357.\r\n\r\nData have also been collected for the project by the Advanced Along Track Scanning Radiometer (AATSR)on the Envisat satellite, and by the Along Track Scanning Radiometer, Version 2 (ATSR 2) on the European Remote Sensing satellite 2 (ERS-2)." }, { "ob_id": 19826, "uuid": "4167905d118740019af899af6496e6b0", "short_code": "proj", "title": "The Emissions around the M25 motorway (EM25)", "abstract": "The Emissions around the M25 motorway (EM25) campaign took place over the megacity of London in the United Kingdom in June 2009 with the aim of characterising trace gas and aerosol composition and properties entering and emitted from the urban region. It featured two mobile platforms, the UK BAe-146 Facility for Airborne Atmospheric Measurements (FAAM) research aircraft and a ground-based mobile lidar van, both travelling in circuits around London, roughly following the path of the M25 motorway circling the city." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22455, 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55842, 55843, 55844, 55845, 69203 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19827, "uuid": "4ecf905b988c4ad6860d03801dac3520", "short_code": "coll", "title": "The Emissions around the M25 motorway (EM25): Atmospheric airborne and in-situ measurements", "abstract": "The Emissions around the M25 motorway (EM25) campaign took place over the megacity of London in the United Kingdom in June 2009 with the aim of characterising trace gas and aerosol composition and properties entering and emitted from the urban region. It featured two mobile platforms, the UK BAe-146 Facility for Airborne Atmospheric Measurements (FAAM) research aircraft and a ground-based mobile lidar van, both travelling in circuits around London, roughly following the path of the M25 motorway circling the city.\r\n\r\nThis dataset collection contains atmospheric airborne and insitu measurements." }, { "ob_id": 12228, "uuid": "0cb1fdfbf52140b2b2177b0dc52ebca0", "short_code": "coll", "title": "APPRAISE ADIENT: Atmospheric FAAM and GlobAEROSOL data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. \r\n\r\nA primary task of the Oxford team in the ADIENT project was to provide satellite data in support of ADIENT FAAM aircraft measurement campaigns. This encompassed both aiding flight planning by providing information on where and when satellite overpasses occurred, and providing easily digestible aerosol fields from satellite sensors at near-real-time. \r\n\r\nGlobAEROSOL was an ESA Data User Element project aimed at providing a 10 year aerosol climatology from European satellite radiometers. The project is made use of the ATSR\r\n2 instrument (on board ERS2), AATSR and MERIS (on board Envisat), and SEVIRI (on\r\nboard Meteosat8).\r\n\r\nThis data collection includes selected data from ATSR2 and AATSR as well as FAAM Flights data." } ], "responsiblepartyinfo_set": [ 75271, 75272, 75273, 75274, 75276, 75277, 75278, 75275, 75279, 75280, 75281, 75282, 75283 ], "onlineresource_set": [] }, { "ob_id": 19841, "uuid": "bada50e6a9fe485c94bab5e51b51249c", "title": "APPRAISE CLOUDS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "Ground based and airborne in-situ aerosol measurements during the APPRAISE-CLOUDS (Aerosol cloud interactions and climate) project from the Chilbolton Atmospheric Observatory, Hampshire (South West England) and on board the FAAM BAE-146 research aircraft.\r\n\r\nData have been collected by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-04-02T16:52:11", "updateFrequency": "notPlanned", "dataLineage": "Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.", "removedDataReason": "", "keywords": "APPRAISE, cloud, CFARR, Chilbolton, Raman lidar, UV", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 63, "bboxName": "", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19842, "dataPath": "/badc/appraise/data/clouds/cfarr-lidar-uv/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 40304330, "numberOfFiles": 41, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5194, "startTime": "2008-01-08T00:00:00", "endTime": "2009-03-03T23:59:59" }, "resultQuality": { "ob_id": 877, "explanation": "Data are checked by CFARR staff prior to submission to BADC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3575, "uuid": "a6d6f5dc8ec040f7bb45111088e25663", "short_code": "acq", "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) 355 nm Ultra Violet Raman Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 50 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6527, "uuid": "0419468bd7d7bb57f1ff652cee0a4026", "short_code": "proj", "title": "APPRAISE - Clouds (Aerosol cloud interactions and climate) Project", "abstract": "The aims of the Clouds (Aerosol Cloud Interactions and Climate) project are to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds. \r\n\r\nThe Clouds project data were mainly collected during FAAM (Facility for Airborne Atmospheric Measurements) flights. During these flights the FAAM aircraft was host to the University of Manchester Aerosol Mass Spectrometer, GRIMM Optical Particle Counter, Scanning Mobility Particle Sizer, and the Condensation Particle Counter. The Aerosol chamber at the University of Manchester was also used to collect data for the Clouds project. There were also ground measurements campaigns conducted at the Chilbolton Observatory site.\r\n\r\nThe APPRAISE-CLOUDS project was funded by NERC as part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme and ran from September 2007 to June 2011." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22455, 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55841, 55842, 55843, 55844, 55845 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12229, "uuid": "0d6c9fd85d1c46c191ad1129f4a0c941", "short_code": "coll", "title": "APPRAISE Clouds: ground and airborne in-situ aerosol measurements", "abstract": "Ground based and airborne in-situ aerosol measurements during the APPRAISE-CLOUDS (Aerosol cloud interactions and climate) project from the Chilbolton Atmospheric Observatory, Hampshire (South West England) and on board the FAAM BAE-146 research aircraft.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.\r\n\r\nAirborne measurements for the APPRAISE-CLOUDS project were also carried out using the FAAM BAe146 aircraft. In total 20 flights were carried out as part of this project with the aircraft operating from Cranfield, Exeter and Oberpffafenhofen, Germany.\r\n\r\nFor the APPRAISE-CLOUDS project the aircraft was equipped with a range of cloud and aerosol instruments including FSSP (cloud droplets), CPI (ice particles), 2DS (ice particles), 2DC (ice particles), 2DP (ice particles), CAPS (droplets, ice, large aerosol), AMS (aerosol chemistry), SP2 (soot aerosol), PCASP (aerosol size), SMPS (aerosol size), Filters (aerosol chemistry), CVI (cloud particle residuals), Nephalometers (aerosol scattering), PSAP (soot aerosol), Whole Air Samplers (trace gases - post flight analysis), Trace gas analysers (NOx, O3, SO2). \r\n\r\nMissions typically involved flight legs above and below cloud to characterise aerosol in the vicinity of the clouds, and flight legs within cloud to characterise cloud properties and attempt to measure cloud particle residuals. In total 110 flight hours were allocated to this project.\r\n\r\nFlight No. \tDate \t Location\r\nB331 \t6/12/07 \tSW England\r\nB336 \t8/01/08 \tSW England\r\nB337 \t15/01/08 \tSW England\r\nB338 \t17/01/08 \tSW England\r\nB376 \t15/05/08 \tSW Germany\r\nB377 \t17/05/08 \tSwitzerland\r\nB378 \t18/05/08 \tSwitzerland\r\nB421 \t17/12/08 \tCardigan Bay\r\nB422 \t15/01/09 \tSW England\r\nB423 \t20/01/09 \tBristol Channel\r\nB424 \t21/01/09 \tSW England\r\nB425 \t22/01/09 \tSW England\r\nB426 \t28/01/09 \tSW England\r\nB430 \t18/02/09 \tSW England\r\nB431 \t26/02/09 \tSW England\r\nB432 \t27/02/09 \tScotland\r\nB433 \t3/03/09 \tSW England\r\nB434 \t3/03/09 \tSW England\r\nB449 \t27/05/09 \tSW England\r\nB456 \t6/06/09 \tSW England " } ], "responsiblepartyinfo_set": [ 75284, 75285, 75286, 75287, 75288, 75289, 75290, 75291, 75292, 75293, 75294, 75295, 75296 ], "onlineresource_set": [] }, { "ob_id": 19843, "uuid": "73dd1d9fffff4e27a3a7fee57255db87", "title": "VACAR: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "Variational Assimilation of Cloud Affected Radiances project.\r\n\r\nData have been collected by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-06-16T15:41:06", "updateFrequency": "notPlanned", "dataLineage": "Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.", "removedDataReason": "", "keywords": "VACAR CFARR, Chilbolton, Raman lidar, UV", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 63, "bboxName": "", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19844, "dataPath": "/badc/vacar/data/cfarr-lidar-uv", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 18452890, "numberOfFiles": 9, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5195, "startTime": "2010-02-26T00:00:00", "endTime": "2010-03-02T23:59:59" }, "resultQuality": { "ob_id": 877, "explanation": "Data are checked by CFARR staff prior to submission to BADC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3575, "uuid": "a6d6f5dc8ec040f7bb45111088e25663", "short_code": "acq", "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) 355 nm Ultra Violet Raman Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 50 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14851, "uuid": "af591c94e8b440dfb3f34b1f39be1bcf", "short_code": "proj", "title": "Variational Assimilation of Cloud Affected Radiances (VACAR)", "abstract": "This Met Office FAAM BAe-146 aircraft campaign sought to gather a diverse set of observations of different cloud types over land and ocean to trial a new 1D-Var code and develop techniques to allow the assimilation of cloud-affected radiances in the Met Office Unified Model for NWP.\r\n \r\n Equipment: Core Consoles, Core Chemistry, Cloud Physics (FFSSP,2D-P,2D-C,PCASP,SID1,SID2,CIP), AVAPS, FWVS/CCN, INC, CPI, Nephelometer/PSAP, Wet-Nephelometer, SWS/SHIMS, Radiometeters 1&2 (ARIES,DEIMOS,MARSS,IRR), Lidar" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22455, 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55841, 55842, 55843, 55844, 55845 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15357, "uuid": "41216812e26d458dbef9daa603050538", "short_code": "coll", "title": "VACAR: surface uv-lidar from the Chilbolton Observatory and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Variational Assimilation of Cloud Affected Radiances (VACAR) with accompanying surface based UV Raman lidar observations from the Chilbolton Observatory, Hampshire" } ], "responsiblepartyinfo_set": [ 75302, 75298, 75299, 75297, 75300, 75303, 75301, 75304, 75305, 75306, 75307, 75308, 75309 ], "onlineresource_set": [] }, { "ob_id": 19845, "uuid": "607539d4bd52494e9e7129ac7463a160", "title": "CONSTRAIN: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "Cold Cloud Microphysical Parameterisation Studies project.\r\n\r\nData have been collected by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. 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Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-03-17T15:11:34", "updateFrequency": "notPlanned", "dataLineage": "Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.", "removedDataReason": "", "keywords": "CONSTRAIN, CFARR, Chilbolton, Raman lidar, UV", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 63, "bboxName": "", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19846, "dataPath": "/badc/constrain/data/cfarr-lidar-uv", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8222718, "numberOfFiles": 5, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5196, "startTime": "2010-03-03T00:00:00", "endTime": "2010-03-03T23:59:59" }, "resultQuality": { "ob_id": 877, "explanation": "Data are checked by CFARR staff prior to submission to BADC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3575, "uuid": "a6d6f5dc8ec040f7bb45111088e25663", "short_code": "acq", "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) UV Raman Lidar Data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) 355 nm Ultra Violet Raman Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 50 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14833, "uuid": "0880f55fb8aa42b29d5e442809267156", "short_code": "proj", "title": "CONSTRAIN - Cold Cloud Microphysical Parameterisation Studies", "abstract": "The main issues are the pristine ice number concentration, snow evolution leading to surface precipitation, mixed-phase and cold cloud length scales. \r\nThe main goals in order of priority are: \r\n * To provide statistical datasets to act as a critical holistic test of three phase microphysics as RICO did for warm cloud microphysics (e.g. cold air outbreak). \r\n * To test whether the background aerosol concentration active as ice nuclei can be used to predict the pristine ice concentration in cases where there is limited ice multiplication. \r\n * To test detailed microphysical assumptions in model, which include capacitance, aggregation efficiency vs temperature (conversion rate from 'ice' to 'snow' categories), mass-dimension relations and area-dimension relations (these combine to give fall-speed). \r\n * To investigate small ice (sub 100 microns) concentration controversy." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22455, 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55841, 55842, 55843, 55844, 55845 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15217, "uuid": "2dd32d52baae4ef898c1f71309a10fe7", "short_code": "coll", "title": "CONSTRAIN: surface UV Raman lidar measurements from the Chilbolton Observatory and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for CONSTRAIN - Cold Cloud Microphysical Parameterisation Studies.\r\n\r\nThe main issues are the pristine ice number concentration, snow evolution leading to surface precipitation, mixed-phase and cold cloud length scales. The main goals in order of priority are \r\n- to provide statistical datasets to act as a critical holistic test of three phase microphysics as RICO did for warm cloud microphysics (e.g. cold air outbreak). - to test whether the background aerosol concentration active as ice nuclei can be used to predict the pristine ice concentration in cases where there is limited ice multiplication. \r\n- to test detailed microphysical assumptions in model, which include capacitance, aggregation efficiency vs temperature (conversion rate from 'ice' to 'snow' categories), mass-dimension relations and area-dimension relations (these combine to give fall-speed). \r\n- To investigate small ice (sub 100 microns) concentration controversy.\r\n\r\nThe project aimed to conduct studies of water vapour, ice crystal habit, turbulence and radiative properties of contrail as it either spreads into cirrus or dissipates. Boundary conditions for LEM studies of contrail lifecycles were delivered and Measurements of radiative forcing from spreading contrail were taken for comparison to other cases. Case studies for testing later contrail cirrus parameterization in the Unified Model were also be considered." } ], "responsiblepartyinfo_set": [ 75311, 75312, 75313, 75314, 75315, 75316, 75317, 75318, 75319, 75320, 75321, 75322, 75323 ], "onlineresource_set": [] }, { "ob_id": 19847, "uuid": "7c114fc6e2884c1f9ca107e7a502fdbf", "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci): Land Surface Seasonality Products", "abstract": "This dataset consists of Land Surface Seasonality products produced as part of the ESA Land Cover Climate Change Initiative (CCI) project. The products are Vegetation Greenness (NDVI), Snow Occurrence and Burned Area Occurrence. \r\n\r\nOn a per pixel basis, these climatological variables reflect, along the year, the average trajectory and the inter-annual variability of a land surface feature over the 1999-2012 period. They are built from existing long-term global datasets with high temporal frequency and moderate spatial resolution (500m-1km). They result from a compilation of 14 years of 7-day instantaneous observations into 1 temporarily aggregated profile depicting, along the year, the reference behaviour for the vegetation greenness, the snow and the BA at global scale. These products are referred to as condition products in the product user guide.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Land Cover project and catalogued here as part of the CCI Open Data Portal Project", "removedDataReason": "", "keywords": "Land Cover, CCI, Land Surface Seasonality, Condition", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-08-12T09:13:49", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19848, "dataPath": "http://maps.elie.ucl.ac.be/CCI/viewer/download.php", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Data are in NetCDF and GeoTIFF" }, "timePeriod": { "ob_id": 5197, "startTime": "1999-01-01T00:00:00", "endTime": "2012-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2629, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 82, "licenceURL": "", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 14431, "uuid": "40e37317e38d4264ae57ecb515b781fa", "short_code": "proj", "title": "ESA Land Cover Climate Change Initiative Project", "abstract": "The ESA Land Cover Climate Change Initiative Project is part of the European Space Agency's Climate Change Initiative to produce long term datasets of Essential Climate Variables (ECV's) from historic satellite data.\r\n\r\nLand cover is defined as the (bio) physical cover at the earth surface including grass, trees, bare ground and water. Land cover is fundamental to better understand the climate through the estimation and validation of fluxes of water, carbon, and energy. It plays a role in adaptation and mitigation assessments at various scales.\r\n\r\nThe projects objective is to critically revisit all algorithms required for the generation of global land product in the light of GCOS requirements, and to design and demonstrate a mature system delivering in a consistent way over years and from multi-mission Earth Observation instruments, the longest possible global land cover map series at 300m, matching the needs of key users belonging to the climate change and land cover communities. The focus is placed on ESA and Member States missions, providing near daily global surface reflectance observation at moderate spatial resolution from 1999 onwards (MERIS Full Resolution (FR) & Reduced Resolution (RR), SPOT VEGETATION, PROBA-V and ASAR data), while the contribution of the AVHRR sensor tackles specific past years back to 1992." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [ { "ob_id": 10667, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_landCov", "resolvedTerm": "land cover" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14430, "uuid": "c19b0914521144ab8c18c91d586c6847", "short_code": "coll", "title": "ESA Land Cover Climate Change Initiative (Land Cover CCI) Dataset Collection", "abstract": "The Land Cover CCI has generated a number of data products as part of its Climate Data Research Package. These consist of: \r\n\r\n- A new time series of consistent global LC maps at 300 m spatial resolution on an annual basis from 1992 to 2015;\r\n- 1 user tool for sub-setting, re-projecting and re-sampling the products in a way which is suitable to each climate model.\r\n- The full archive of AVHRR HRPT 1 km surface reflectance 7-day composites from 1992 to 1999;\r\n- The full archive of MERIS surface reflectance 7-day composites from 2003 to 2011 (300 m and 1 km resolution);\r\n- A PROBA-V 1 km time series of surface reflectance 7-day composites from mid March 2014 to end 2015;\r\n- 1 static map of open water bodies including ENVISAT ASAR data;\r\n- 3 global land surface seasonality products characterizing the vegetation greenness, the snow and the burned areas dynamics.\r\n\r\nIn the context of the CCI Open Data portal, a subset of these data products are held within the CEDA archive. \r\n\r\nThe complete set of data products are available from the CCI Landcover team via their portal at: http://maps.elie.ucl.ac.be/CCI/viewer/" } ], "responsiblepartyinfo_set": [ 75327, 75328, 75330, 75331, 75333, 143302, 143303, 75329, 75332 ], "onlineresource_set": [ 15941, 15939, 15940, 15938 ] }, { "ob_id": 19849, "uuid": "e80f28ccb0504c32b403eee654a8a5b3", "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci): MERIS Surface Reflectance", "abstract": "This dataset consists of time series of surface reflectance from the MERIS instrument on the ENVISAT satellite, produced as part of the ESA Land Cover Climate Change Initiative (CCI) project. \r\n\r\nThe time series are a temporal syntheses obtained over a 7-day compositing period, and encompass 13 of the 15 MERIS spectral channels (not including bands 11 and 15). The spatial resolution is 300m for the Full Resolution (FR) data and 1000m for the Reduced Resolution (RR) data.\r\n\r\nGiven the amount and size of the MERIS surface reflectance archive (10 To), the Land Cover CCI team make the data available on request, through your own disks. Please contact contact@esa-landcover-cci.org", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Land Cover project and catalogued here as part of the CCI Open Data Portal Project", "removedDataReason": "", "keywords": "Land Cover, CCI, Surface Reflectance, MERIS", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-08-12T09:16:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19850, "dataPath": "http://maps.elie.ucl.ac.be/CCI/viewer/download.php", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Unknown" }, "timePeriod": { "ob_id": 5197, "startTime": "1999-01-01T00:00:00", "endTime": "2012-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8344, "uuid": "c1311786388a421fa0675d8b69258757", "short_code": "acq", "title": "Acquisition Process for: Data from Envisat - MERIS at Envisat for the MEdium Resolution Imaging Spectrometer (MERIS) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Envisat - MERIS; PLATFORMS: Envisat; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2629, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 82, "licenceURL": "", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 14431, "uuid": "40e37317e38d4264ae57ecb515b781fa", "short_code": "proj", "title": "ESA Land Cover Climate Change Initiative Project", "abstract": "The ESA Land Cover Climate Change Initiative Project is part of the European Space Agency's Climate Change Initiative to produce long term datasets of Essential Climate Variables (ECV's) from historic satellite data.\r\n\r\nLand cover is defined as the (bio) physical cover at the earth surface including grass, trees, bare ground and water. Land cover is fundamental to better understand the climate through the estimation and validation of fluxes of water, carbon, and energy. It plays a role in adaptation and mitigation assessments at various scales.\r\n\r\nThe projects objective is to critically revisit all algorithms required for the generation of global land product in the light of GCOS requirements, and to design and demonstrate a mature system delivering in a consistent way over years and from multi-mission Earth Observation instruments, the longest possible global land cover map series at 300m, matching the needs of key users belonging to the climate change and land cover communities. The focus is placed on ESA and Member States missions, providing near daily global surface reflectance observation at moderate spatial resolution from 1999 onwards (MERIS Full Resolution (FR) & Reduced Resolution (RR), SPOT VEGETATION, PROBA-V and ASAR data), while the contribution of the AVHRR sensor tackles specific past years back to 1992." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14430, "uuid": "c19b0914521144ab8c18c91d586c6847", "short_code": "coll", "title": "ESA Land Cover Climate Change Initiative (Land Cover CCI) Dataset Collection", "abstract": "The Land Cover CCI has generated a number of data products as part of its Climate Data Research Package. These consist of: \r\n\r\n- A new time series of consistent global LC maps at 300 m spatial resolution on an annual basis from 1992 to 2015;\r\n- 1 user tool for sub-setting, re-projecting and re-sampling the products in a way which is suitable to each climate model.\r\n- The full archive of AVHRR HRPT 1 km surface reflectance 7-day composites from 1992 to 1999;\r\n- The full archive of MERIS surface reflectance 7-day composites from 2003 to 2011 (300 m and 1 km resolution);\r\n- A PROBA-V 1 km time series of surface reflectance 7-day composites from mid March 2014 to end 2015;\r\n- 1 static map of open water bodies including ENVISAT ASAR data;\r\n- 3 global land surface seasonality products characterizing the vegetation greenness, the snow and the burned areas dynamics.\r\n\r\nIn the context of the CCI Open Data portal, a subset of these data products are held within the CEDA archive. \r\n\r\nThe complete set of data products are available from the CCI Landcover team via their portal at: http://maps.elie.ucl.ac.be/CCI/viewer/" } ], "responsiblepartyinfo_set": [ 75334, 75335, 75337, 75338, 75340, 143300, 143301, 75336, 75339 ], "onlineresource_set": [ 15942, 15943, 15944, 15945 ] }, { "ob_id": 19851, "uuid": "8bbde1a8a0ce4a86904a3d7b2b917955", "title": "Global Sea Ice Concentration reprocessing dataset 1978-2015 (v1.2)", "abstract": "This dataset is v1.2 of the reprocessed sea ice concentration dataset of the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF), and has been produced using passive microwave data from the SMMR, SSM/I and SSMIS sensors. Ice concentration is computed from atmospherically corrected brightness temperatures, using a combination of state-of-the-art algorithms and dynamic tie-points. The dataset includes error-bars for each grid cell (uncertainties). Version 1.2 covers and extended time period from Oct 2009-Apr 2015 (labelled OSI-409-a). \r\n\r\nNo results from the ESA CCI Sea Ice project has been applied to this version of the reprocessed data set. However, the next full OSI SAF reprocessing in late 2016 will include research results from the ESA CCI Sea Ice project. \r\n\r\nThe OSI SAF asks all users to register at their central web site. By doing so, you can choose to get service messages about sea ice products, and they will be able to serve you better. They will also be able to better report on the use of our products. So please register at this site if you are not already registered. \r\n\r\nUsers of this data set should acknowledge the data set by using this reference: \r\nEUMETSAT Ocean and Sea Ice Satellite Application Facility. Global sea ice concentration reprocessing dataset 1978-2015 (v1.2, 2015), [Online]. Norwegian and Danish Meteorological Institutes. Available from http://osisaf.met.no\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF).\r\n\r\n This catalogue record was created by CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Sea Ice, Eumetsat, OSI SAF", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 897, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 16.6, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19852, "dataPath": "http://osisaf.met.no/p/ice/index.html#conc-reproc", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Data are in NetCDF" }, "timePeriod": { "ob_id": 5199, "startTime": "1978-09-30T23:00:00", "endTime": "2015-04-30T22:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2629, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 82, "licenceURL": "", "licenceClassifications": [] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 75344, 75343, 75348, 75347, 75342, 204931, 204932, 204933 ], "onlineresource_set": [ 15955, 15952, 15953, 15954 ] }, { "ob_id": 19854, "uuid": "2d43e43de3484810ae24cfdc13eab263", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Grounding Line Locations v1.2", "abstract": "This dataset contains grounding lines for 5 North Greenland glaciers, derived from generated from ERS -1/-2 SAR Tandem and 3 days data sets. This addition includes the grounding line for the Petermann glacier from Sentinel-1A. Data was produced as part of the ESA Greenland Ice Sheets Climate Change Initiative (CCI) project by ENVEO, Austria. \r\n\r\nThe grounding line is the separation point between the floating and grounded parts of the glacier. Processes at the grounding lines of floating marine termini of glaciers and ice streams are important for understanding the response of the ice masses to changing boundary conditions and for establishing realistic scenarios for the response to climate change. The grounding line location product is derived from InSAR data by mapping the tidal flexure and is generated for a selection of the few glaciers in Greenland, which have a floating tongue. In general, the true location of the grounding line is unknown, and therefore validation is difficult for this product.\r\n\r\nRemote sensing observations do not provide direct measurement on the transition from floating to grounding ice (the grounding line). The satellite data deliver observations on ice surface features (e.g. tidal deformation by InSAR, spatial changes in texture and shading in optical images) that are indirect indicators for estimating the position of the grounding line. Due to the plasticity of ice these indicators spread out over a zone upstream and downstream of the grounding line, the tidal flexure zone (also called grounding zone).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-11-29T16:27:49.353722", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland, Ice Sheet, CCI, ESA", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-11-30T20:19:38", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1650, "bboxName": "Greenland", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 20118, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1206686, "numberOfFiles": 94, "fileFormat": "Data are ESRI shapefiles" }, "timePeriod": { "ob_id": 5200, "startTime": "1995-01-01T00:00:00", "endTime": "2015-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. 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The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [ { "ob_id": 10187, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_iceSheet", "resolvedTerm": "ice sheets" }, { "ob_id": 10666, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_iceSheet", "resolvedTerm": "ice sheets" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. 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A selected number of the glaciers have been sampled seasonally, whilst the rest are sampled annually.\r\n\r\nThe Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change. From the ice velocity at the calving front and the time sequence of Calving Front Locations the iceberg calving rate can be computed which is of relevance for estimating the export of ice mass to the ocean.\r\n\r\nThe CFL product is a collection of ESRI shapefile in latitude and longitude, WGS84 projection.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-11-29T16:03:58", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-11-30T17:12:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1650, "bboxName": "Greenland", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 20117, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_calving_front_locations/v2.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2125574, "numberOfFiles": 2, "fileFormat": "Data are provided as ESRI shapefile in latitude and longitude, WGS84 projection" }, "timePeriod": { "ob_id": 5279, "startTime": "1992-01-01T00:00:00", "endTime": "2015-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. 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The data consists of two products, a mass change time series for the Greenland Ice Sheet and individual basins, and mass trend grids for 5-year periods. \r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-11-29T17:15:25.976740", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-11-30T16:49:32", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1650, "bboxName": "Greenland", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 20114, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12571633, "numberOfFiles": 30, "fileFormat": "Time series data are provided in ASCII and png format\r\nMass trend data are provided in NetCDF format" }, "timePeriod": { "ob_id": 5277, "startTime": "2002-03-31T23:00:00", "endTime": "2015-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. 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It has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nData files are delivered in NetCDF format at 250m grid spacing in North Polar Stereographic projection (EPSG: 3413). 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The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 75485, 75484, 79029, 79028, 104927, 105144, 105322, 79027 ], "onlineresource_set": [ 16002, 16001, 17007, 17008, 16003 ] }, { "ob_id": 19858, "uuid": "bf6bfa8a6ae74b27b6e5497ea3d45307", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of the Zachariae Isstroem for 2015-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the Zachariae Isstroem glacier in Greenland, derived from Sentinel-1 SAR data acquired between 25/1/2015 and 8/6/2016. 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The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . 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The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. 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These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 75486, 75487, 79026, 79025, 104930, 105147, 105325, 79024 ], "onlineresource_set": [ 16005, 16006, 16004, 17005, 17006 ] }, { "ob_id": 19859, "uuid": "3566cdffebf04ce784ad0fdcf094834a", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of 79-Fjord Glacier for 2015-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the 79-Fjord Glacier in Greenland, derived from Sentinel-1 SAR data acquired between 25/1/2015 and 8/6/2016. 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