Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=3300
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=3400", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=3200", "results": [ { "ob_id": 18713, "uuid": "eba94231d4d249fea31cf2879594c199", "title": "FAAM B815 CIRCCREX and PIKNMIX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX) and Met Office PIKNMIX campaigns: cloud pyhsics and radiation events projects.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2018-03-27T16:49:30.253782", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "CIRCCREX, PIKNMIX, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-03-23T20:34:08.760518", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1548, "bboxName": "", "eastBoundLongitude": -4.578503131866455, "westBoundLongitude": -9.675755500793457, "southBoundLatitude": 55.50385284423828, "northBoundLatitude": 59.02946090698242 }, "verticalExtent": null, "result_field": { "ob_id": 18712, "dataPath": "/badc/faam/data/2013/b815-nov-22", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 665800728, "numberOfFiles": 23, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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It was lead by Dr Juliet Pickering (Imperial College London) and Dr Keith Bower (The University of Manchester) between 2013-2016. \r\n\r\nThe aim of the CICCREX project was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform.\r\n\r\nClimate and weather prediction models demand understanding of how cirrus clouds, high in the troposphere (6-14km in altitude) affect our climate. Cirrus covers up to 30% of the globe and its effects should be accurately included in global climate models. Clouds have two main effects; they are the main atmospheric component in the hydrological cycle, but they also trap radiation, both reflecting sunlight back to space (cooling the Earth's surface) and trapping the thermal energy emitted from the surface (as they are cold, emitting less energy to space than an equivalent cloudless sky). The balance between the shortwave (sunlight) and longwave (thermal radiation) effect depends on factors such as altitude and thickness of the cloud, and the size and shape of the ice crystals that make up the cloud. The crystals can take on myriad shapes, and the shapes existing in particular clouds depend on conditions and on the evolutionary sequence that the particles experience; growing, aggregating and/or dissipating over time, dependant on the changes in temperature, humidity and meteorological environment they experience. Different crystal sizes and shapes reflect and scatter light in different ways. Some crystal shapes are efficient at reflecting sunlight, but not thermal radiation and some the other way round. The net effect of a cloud on the radiation budget depends on the microscopic shapes of the crystals inside it. By measuring both the heat emitted by the cloud and its internal crystal properties ('microphysics') we can determine the link between the two, and hence the overall effect the cloud is having on the climate. \r\n\r\nCirrus models have been derived that calculate expected response of different crystal types across the spectrum, and these are usually combined with predicted particle size and shapes (Particle Size Distributions, PSD) found from in-situ flight campaign measurements using cloud probes. These are parameterised (simplified) and used in climate models and general circulation models (GCMs), eg. in numerical weather prediction (NWP) and climate change, but these cirrus models have not been tested across the full spectrum. Some studies have been made of specific radiative properties of some crystal types in the shortwave, and of other crystal types in parts of the longwave, but there has not been a successful measurement covering the full spectrum simultaneously measuring the precise make up of the crystal sizes and types in a cloud. \r\n\r\nThis project carried out a novel flight campaign which combined full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The project tested scattering models and PSD parameterisations used to describe cirrus cloud in atmospheric models, such as the UK MetOffice (MO) Unified model Numerical Weather Prediction (NWP) with model improvements implemented by our MO project partners. \r\n\r\nThe project was possible because of NERC funded research that led to: state-of-the-art cloud probe instruments and software tools that addressed problems of ice crystal shattering at the inlet apertures and the great uncertainty in ice crystal size distributions of the past; and the development of the unique far-IR instrument TAFTS at Imperial College (IC). The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. They combined radiometry in the far-IR of IC, in mid-IR to solar of MO, cloud microphysics instrumentation and expertise of Manchester and Hertfordshire Universities, and UKMO/FAAM with complementary cloud and atmospheric state measurements. This project provides a leap forward to cirrus modelling, the datasets allowing for testing and development of models and parameterizations used to predict the effect of cirrus clouds in the high troposphere.\r\n\r\nThe project's aim was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform. This objective was achieved through a ground breaking cirrus coupled cloud-radiation airborne campaign across the Arctic and Mid-latitudes, which obtained first time radiation measurements across the electromagnetic spectrum (visible to sub-mm wavelengths) together with state-of-the-art cloud microphysics measurements. This exploited the recent leap in advances in microphysical and radiance data quality. The project will use these unique datasets to test and facilitate improvements to cirrus scattering models and parameterizations for climate and NWP models. The goal of the project was for an accurate parameterisation of cirrus optical properties in global climate modelling and NWP.\r\n\r\nThrough a radiative closure experiment, and testing of cirrus scattering models throughout the LW and SW for the first time, they provided the evidence for a more direct coupling between cloud physics and radiation, and to show that such schemes can simulate the measured radiation fields correctly, through a direct link between GCM prognostic variables and the cirrus optical properties. Such schemes will represent a paradigm shift in GCM parameterization, as current operational GCMs rely on linking radiation to cloud physics through diagnosed quantities only. \r\n \r\nThe objectives of this project were as follows (priority here relates to the order in which the objectives will be met):\r\n1. A radiative closure cirrus cloud-radiation experiment in northern and mid latitudes.\r\n2. Obtain a well calibrated set of high resolution radiance measurements throughout the infra-red and visible spectrum, 0.3-125 microns, from above and below and within an extensive layer of well developed cirrus.\r\n3. Characterise the atmospheric column above and below the cloud layer in terms of humidity distribution, temperature structure and other key radiatively-active species.\r\n4. Map the ice crystal particle size distribution, habit types and crystal complexity (including roughness, concavity etc) within the cloud layer, to provide an accurate, well-constrained, consistent description of the microphysical state.\r\n5. Use derivatives of the macrophysical and microphysical state, including ice water content and temperature, as input into state-of-the-art scattering model codes and cirrus parameterisations, whose output (via a radiative transfer model) will be critically validated against the radiance measurements throughout the sub-mm, infrared and visible spectrum. Sensitivity of the predicted radiance to PSD, habit types, aggregate and ensemble models, crystal complexity will be investigated by reference to the microphysical datasets.\r\n6. Exploit campaign datasets and constraint of cloud microphysical and radiative uncertainties in case studies to facilitate improvement of cirrus scattering models allowing a self-consistent and physically-based parameterisation of the ice crystal scattering properties.\r\n7. Through case studies using northern and mid-latitude campaign datasets, test the ice crystal scattering models and the coupled cloud-radiation parameterization by running the high-resolution version of the MO Unified Model (UM) at 1.0km resolution, with a view to incorporating the new parameterisations into the widely used UM.\r\n \r\nThe results have impacted cirrus modelling in GCMs, both for numerical weather prediction (NWP) and climate change, and in remote sensing.\r\n\r\nIn addition further objectives were to:\r\n8. Conduct a study of the moderating effect of cirrus on far-IR heating rates by comparing derived heating rates directly from the far-IR data, and comparing these to models using the newly-derived scattering properties.\r\n9. Study the spatial variability of the far-IR cirrus radiative signal as a function of the cloud structure, and determine the impact on precision of ((cirrus cloud modelling???.)) \r\n\r\n\r\n****The dataset contains full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. ****" }, { "ob_id": 14844, "uuid": "8fefc02a17ad4558ad171459bb544dad", "short_code": "proj", "title": "Met Office PIKNMIX campaigns: cloud pyhsics and radiation events", "abstract": "PIKNMIX is a range of Met Office cloud pyhsics and radiation campaigns including cold air outbreak studies. \r\n Objectives: \r\n 1.To obtain microphysical and dynamical measurements in a variety of cloud regimes including cold air outbreaks, cirrus and mid-level mixed phase clouds.\r\n 2.Flights in combination with the operational weather radar at Stornaway & Aberdeen.\r\n 3.Potential intercomparison flight with MOCCA.Cold air outbreak up towards Iceland (potential overnight if hangar available).\r\n 4.Spiral descent in Cirrus" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50834, 50835, 50836, 50837, 50839, 50840, 50841, 50843, 50844, 50845, 50846, 50847, 50848, 50849, 50852, 50854, 50930, 50931, 50940, 50941, 50947, 50948, 50967, 50969, 50970, 50971, 50973, 50978, 50979, 50982, 50983, 50984, 50985, 50986, 50987, 50988, 50989, 50990, 50991, 50992, 50993, 50994, 50995, 50996, 50997, 50998, 50999, 51000, 51001, 51002, 51003, 51004, 51005, 51006, 51007, 51008, 51009, 51010, 51011, 51012, 51013, 51014, 51015, 51016, 51017, 51018, 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027, 51028, 51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037, 51038, 51039, 51040, 51041, 51042, 51044, 51045, 51046, 51047, 51048, 51052, 51054, 51055, 51056, 51057, 51058, 51059, 51060, 51061, 51062, 51063, 51064, 51065, 51066, 51067, 51068, 51069, 51070, 51071, 51072, 51073, 51074, 51075, 51076, 51077, 51078, 51079, 51080, 51081, 51082, 51083, 51084, 51087, 51089, 51090, 51104, 51105, 51106, 51107, 51108, 51109, 51110, 51111, 51112, 51113, 51114, 51115, 51116, 51117, 51118, 51119, 51120, 51380, 51381, 51382, 51383, 51384, 51385, 51386, 51387, 51388, 51389, 51390, 51391, 51392, 51393, 51394, 51395, 51396, 51397, 51398, 51399, 51400, 51401, 51402, 51403, 51404, 51405, 51406, 51407, 51408, 51409, 51410, 51411, 51444, 51462, 51483, 51486, 51487, 51490, 51491, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51508, 51511, 51512, 51514, 51516, 51517, 51520, 51521, 51525, 51526, 51527, 51528, 51529, 51532, 51533, 51534, 51537, 51538, 51539, 51543, 51548, 51551, 51552, 51553, 51554, 51558, 51559, 51568, 51569, 51982, 51983, 51984, 51985, 51986, 51987, 51988, 51989, 51990, 51991, 51992, 51993, 51994, 51995, 51996, 51997, 51998, 51999, 52000, 52001, 52002, 52003, 52004, 52005, 52006, 52007, 52008, 52009, 52010, 52011, 52012, 52013, 52014, 52015, 52016, 52017, 53404, 53405, 53406, 53407, 53408, 53409, 53410, 53411, 53412, 53413, 53414, 53415, 53416, 53417, 53418, 53419, 53420, 53421, 53422, 53423, 53424, 53425, 53426, 53427, 53428, 53429, 53430, 53431, 53432, 53671, 53675, 53676, 53679, 53680, 53681, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53718, 53719, 53720, 53721, 53722, 53723, 53724, 53725, 53726, 53727, 53728, 53729, 53730, 53731, 53732, 53733, 53734, 53735, 53736, 53737, 53738, 53739, 53740, 53741, 53742, 53743, 53744, 53745, 53746, 53747, 53748, 53749, 53750, 53751, 53752, 53753, 54967, 54971, 54975, 54976 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15916, "uuid": "9f0eb1933ba946e9ba807c6e875a54cf", "short_code": "coll", "title": "CIRCCREX: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX)." }, { "ob_id": 15806, "uuid": "01b606c523154f7693956e5e0f0a92f1", "short_code": "coll", "title": "PIKNMIX: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." } ], "responsiblepartyinfo_set": [ 70492, 70493, 70496, 70497, 70498, 70499, 70500, 70491, 70494, 70495 ], "onlineresource_set": [ 14504, 14502, 14503 ] }, { "ob_id": 18717, "uuid": "f505edd50b794399974e80c52772a2b0", "title": "FAAM B814 PIKNMIX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:55:39", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "PIKNMIX, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-03-23T20:34:08.716662", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4212, "bboxName": "", "eastBoundLongitude": -4.5992742, "westBoundLongitude": -9.5625076, "southBoundLatitude": 55.347813, "northBoundLatitude": 60.928066 }, "verticalExtent": null, "result_field": { "ob_id": 18716, "dataPath": "/badc/faam/data/2013/b814-nov-20", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4386527498, "numberOfFiles": 58, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted." }, "timePeriod": { "ob_id": 4907, "startTime": "2013-11-20T06:50:33", "endTime": "2013-11-20T14:50:35" }, "resultQuality": { "ob_id": 3032, "explanation": "Data collected by flight participants before preparation for archival with the British Atmospheric Data Centre", "passesTest": true, "resultTitle": "FAAM to BADC Data Quality Statement", "date": "2015-09-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 18718, "uuid": "044d8e2b549744708facfd339cadef52", "short_code": "acq", "title": "FAAM Flight B814 Acquisition", "abstract": "FAAM Flight B814 Acquisition" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 8 ], "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": 14844, "uuid": "8fefc02a17ad4558ad171459bb544dad", "short_code": "proj", "title": "Met Office PIKNMIX campaigns: cloud pyhsics and radiation events", "abstract": "PIKNMIX is a range of Met Office cloud pyhsics and radiation campaigns including cold air outbreak studies. \r\n Objectives: \r\n 1.To obtain microphysical and dynamical measurements in a variety of cloud regimes including cold air outbreaks, cirrus and mid-level mixed phase clouds.\r\n 2.Flights in combination with the operational weather radar at Stornaway & Aberdeen.\r\n 3.Potential intercomparison flight with MOCCA.Cold air outbreak up towards Iceland (potential overnight if hangar available).\r\n 4.Spiral descent in Cirrus" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 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observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. 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It was lead by Dr Juliet Pickering (Imperial College London) and Dr Keith Bower (The University of Manchester) between 2013-2016. \r\n\r\nThe aim of the CICCREX project was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform.\r\n\r\nClimate and weather prediction models demand understanding of how cirrus clouds, high in the troposphere (6-14km in altitude) affect our climate. Cirrus covers up to 30% of the globe and its effects should be accurately included in global climate models. Clouds have two main effects; they are the main atmospheric component in the hydrological cycle, but they also trap radiation, both reflecting sunlight back to space (cooling the Earth's surface) and trapping the thermal energy emitted from the surface (as they are cold, emitting less energy to space than an equivalent cloudless sky). The balance between the shortwave (sunlight) and longwave (thermal radiation) effect depends on factors such as altitude and thickness of the cloud, and the size and shape of the ice crystals that make up the cloud. The crystals can take on myriad shapes, and the shapes existing in particular clouds depend on conditions and on the evolutionary sequence that the particles experience; growing, aggregating and/or dissipating over time, dependant on the changes in temperature, humidity and meteorological environment they experience. Different crystal sizes and shapes reflect and scatter light in different ways. Some crystal shapes are efficient at reflecting sunlight, but not thermal radiation and some the other way round. The net effect of a cloud on the radiation budget depends on the microscopic shapes of the crystals inside it. By measuring both the heat emitted by the cloud and its internal crystal properties ('microphysics') we can determine the link between the two, and hence the overall effect the cloud is having on the climate. \r\n\r\nCirrus models have been derived that calculate expected response of different crystal types across the spectrum, and these are usually combined with predicted particle size and shapes (Particle Size Distributions, PSD) found from in-situ flight campaign measurements using cloud probes. These are parameterised (simplified) and used in climate models and general circulation models (GCMs), eg. in numerical weather prediction (NWP) and climate change, but these cirrus models have not been tested across the full spectrum. Some studies have been made of specific radiative properties of some crystal types in the shortwave, and of other crystal types in parts of the longwave, but there has not been a successful measurement covering the full spectrum simultaneously measuring the precise make up of the crystal sizes and types in a cloud. \r\n\r\nThis project carried out a novel flight campaign which combined full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The project tested scattering models and PSD parameterisations used to describe cirrus cloud in atmospheric models, such as the UK MetOffice (MO) Unified model Numerical Weather Prediction (NWP) with model improvements implemented by our MO project partners. \r\n\r\nThe project was possible because of NERC funded research that led to: state-of-the-art cloud probe instruments and software tools that addressed problems of ice crystal shattering at the inlet apertures and the great uncertainty in ice crystal size distributions of the past; and the development of the unique far-IR instrument TAFTS at Imperial College (IC). The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. They combined radiometry in the far-IR of IC, in mid-IR to solar of MO, cloud microphysics instrumentation and expertise of Manchester and Hertfordshire Universities, and UKMO/FAAM with complementary cloud and atmospheric state measurements. This project provides a leap forward to cirrus modelling, the datasets allowing for testing and development of models and parameterizations used to predict the effect of cirrus clouds in the high troposphere.\r\n\r\nThe project's aim was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform. This objective was achieved through a ground breaking cirrus coupled cloud-radiation airborne campaign across the Arctic and Mid-latitudes, which obtained first time radiation measurements across the electromagnetic spectrum (visible to sub-mm wavelengths) together with state-of-the-art cloud microphysics measurements. This exploited the recent leap in advances in microphysical and radiance data quality. The project will use these unique datasets to test and facilitate improvements to cirrus scattering models and parameterizations for climate and NWP models. The goal of the project was for an accurate parameterisation of cirrus optical properties in global climate modelling and NWP.\r\n\r\nThrough a radiative closure experiment, and testing of cirrus scattering models throughout the LW and SW for the first time, they provided the evidence for a more direct coupling between cloud physics and radiation, and to show that such schemes can simulate the measured radiation fields correctly, through a direct link between GCM prognostic variables and the cirrus optical properties. Such schemes will represent a paradigm shift in GCM parameterization, as current operational GCMs rely on linking radiation to cloud physics through diagnosed quantities only. \r\n \r\nThe objectives of this project were as follows (priority here relates to the order in which the objectives will be met):\r\n1. A radiative closure cirrus cloud-radiation experiment in northern and mid latitudes.\r\n2. Obtain a well calibrated set of high resolution radiance measurements throughout the infra-red and visible spectrum, 0.3-125 microns, from above and below and within an extensive layer of well developed cirrus.\r\n3. Characterise the atmospheric column above and below the cloud layer in terms of humidity distribution, temperature structure and other key radiatively-active species.\r\n4. Map the ice crystal particle size distribution, habit types and crystal complexity (including roughness, concavity etc) within the cloud layer, to provide an accurate, well-constrained, consistent description of the microphysical state.\r\n5. Use derivatives of the macrophysical and microphysical state, including ice water content and temperature, as input into state-of-the-art scattering model codes and cirrus parameterisations, whose output (via a radiative transfer model) will be critically validated against the radiance measurements throughout the sub-mm, infrared and visible spectrum. Sensitivity of the predicted radiance to PSD, habit types, aggregate and ensemble models, crystal complexity will be investigated by reference to the microphysical datasets.\r\n6. Exploit campaign datasets and constraint of cloud microphysical and radiative uncertainties in case studies to facilitate improvement of cirrus scattering models allowing a self-consistent and physically-based parameterisation of the ice crystal scattering properties.\r\n7. Through case studies using northern and mid-latitude campaign datasets, test the ice crystal scattering models and the coupled cloud-radiation parameterization by running the high-resolution version of the MO Unified Model (UM) at 1.0km resolution, with a view to incorporating the new parameterisations into the widely used UM.\r\n \r\nThe results have impacted cirrus modelling in GCMs, both for numerical weather prediction (NWP) and climate change, and in remote sensing.\r\n\r\nIn addition further objectives were to:\r\n8. Conduct a study of the moderating effect of cirrus on far-IR heating rates by comparing derived heating rates directly from the far-IR data, and comparing these to models using the newly-derived scattering properties.\r\n9. Study the spatial variability of the far-IR cirrus radiative signal as a function of the cloud structure, and determine the impact on precision of ((cirrus cloud modelling???.)) \r\n\r\n\r\n****The dataset contains full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. ****" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50835, 50836, 50837, 50839, 50840, 50841, 50843, 50844, 50845, 50846, 50847, 50848, 50849, 50852, 50854, 50930, 50931, 50940, 50941, 50947, 50948, 50967, 50968, 50969, 50970, 50971, 50972, 50973, 50978, 50979, 50980, 50981, 50982, 50983, 50984, 50985, 50986, 50987, 50988, 50989, 50990, 50991, 50992, 50993, 50994, 50995, 50996, 50997, 50998, 50999, 51000, 51001, 51002, 51003, 51004, 51005, 51006, 51007, 51008, 51009, 51010, 51011, 51012, 51013, 51014, 51015, 51016, 51017, 51018, 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027, 51028, 51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037, 51038, 51039, 51040, 51041, 51042, 51044, 51045, 51046, 51047, 51048, 51052, 51054, 51055, 51056, 51057, 51058, 51059, 51060, 51061, 51062, 51063, 51064, 51065, 51066, 51067, 51068, 51069, 51070, 51071, 51072, 51073, 51074, 51075, 51076, 51077, 51078, 51079, 51080, 51081, 51082, 51083, 51084, 51087, 51089, 51090, 51104, 51105, 51106, 51107, 51108, 51109, 51110, 51111, 51112, 51113, 51114, 51115, 51116, 51117, 51118, 51119, 51120, 51124, 51126, 51127, 51128, 51130, 51131, 51135, 51136, 51137, 51138, 51139, 51140, 51141, 51142, 51143, 51144, 51145, 51146, 51147, 51148, 51149, 51150, 51151, 51152, 51153, 51154, 51380, 51381, 51382, 51383, 51384, 51385, 51386, 51387, 51388, 51389, 51390, 51391, 51392, 51393, 51394, 51395, 51396, 51397, 51398, 51399, 51400, 51401, 51402, 51403, 51404, 51405, 51406, 51407, 51408, 51409, 51410, 51411, 51444, 51462, 51483, 51486, 51487, 51490, 51491, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51508, 51511, 51512, 51514, 51516, 51517, 51520, 51521, 51525, 51526, 51527, 51528, 51529, 51532, 51533, 51534, 51537, 51538, 51539, 51543, 51548, 51551, 51552, 51553, 51554, 51558, 51559, 51568, 51569, 51981, 51982, 51983, 51984, 51985, 51986, 51987, 51988, 51989, 51990, 51991, 51992, 51993, 51994, 51995, 51996, 51997, 51998, 51999, 52000, 52001, 52002, 52003, 52004, 52005, 52006, 52007, 52008, 52009, 52010, 52011, 52012, 52013, 52014, 52015, 52016, 52017, 53404, 53405, 53406, 53407, 53408, 53409, 53410, 53411, 53412, 53413, 53414, 53415, 53416, 53417, 53418, 53419, 53420, 53421, 53422, 53423, 53424, 53425, 53426, 53427, 53428, 53429, 53430, 53431, 53432, 53433, 53671, 53675, 53676, 53679, 53680, 53681, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53718, 53719, 53720, 53721, 53722, 53723, 53724, 53725, 53726, 53727, 53728, 53729, 53730, 53731, 53732, 53733, 53734, 53735, 53736, 53737, 53738, 53739, 53740, 53741, 53742, 53743, 53744, 53745, 53746, 53747, 53748, 53749, 53750, 53751, 53752, 53753 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15916, "uuid": "9f0eb1933ba946e9ba807c6e875a54cf", "short_code": "coll", "title": "CIRCCREX: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX)." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). 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It was lead by Dr Juliet Pickering (Imperial College London) and Dr Keith Bower (The University of Manchester) between 2013-2016. \r\n\r\nThe aim of the CICCREX project was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform.\r\n\r\nClimate and weather prediction models demand understanding of how cirrus clouds, high in the troposphere (6-14km in altitude) affect our climate. Cirrus covers up to 30% of the globe and its effects should be accurately included in global climate models. Clouds have two main effects; they are the main atmospheric component in the hydrological cycle, but they also trap radiation, both reflecting sunlight back to space (cooling the Earth's surface) and trapping the thermal energy emitted from the surface (as they are cold, emitting less energy to space than an equivalent cloudless sky). The balance between the shortwave (sunlight) and longwave (thermal radiation) effect depends on factors such as altitude and thickness of the cloud, and the size and shape of the ice crystals that make up the cloud. The crystals can take on myriad shapes, and the shapes existing in particular clouds depend on conditions and on the evolutionary sequence that the particles experience; growing, aggregating and/or dissipating over time, dependant on the changes in temperature, humidity and meteorological environment they experience. Different crystal sizes and shapes reflect and scatter light in different ways. Some crystal shapes are efficient at reflecting sunlight, but not thermal radiation and some the other way round. The net effect of a cloud on the radiation budget depends on the microscopic shapes of the crystals inside it. By measuring both the heat emitted by the cloud and its internal crystal properties ('microphysics') we can determine the link between the two, and hence the overall effect the cloud is having on the climate. \r\n\r\nCirrus models have been derived that calculate expected response of different crystal types across the spectrum, and these are usually combined with predicted particle size and shapes (Particle Size Distributions, PSD) found from in-situ flight campaign measurements using cloud probes. These are parameterised (simplified) and used in climate models and general circulation models (GCMs), eg. in numerical weather prediction (NWP) and climate change, but these cirrus models have not been tested across the full spectrum. Some studies have been made of specific radiative properties of some crystal types in the shortwave, and of other crystal types in parts of the longwave, but there has not been a successful measurement covering the full spectrum simultaneously measuring the precise make up of the crystal sizes and types in a cloud. \r\n\r\nThis project carried out a novel flight campaign which combined full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The project tested scattering models and PSD parameterisations used to describe cirrus cloud in atmospheric models, such as the UK MetOffice (MO) Unified model Numerical Weather Prediction (NWP) with model improvements implemented by our MO project partners. \r\n\r\nThe project was possible because of NERC funded research that led to: state-of-the-art cloud probe instruments and software tools that addressed problems of ice crystal shattering at the inlet apertures and the great uncertainty in ice crystal size distributions of the past; and the development of the unique far-IR instrument TAFTS at Imperial College (IC). The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. They combined radiometry in the far-IR of IC, in mid-IR to solar of MO, cloud microphysics instrumentation and expertise of Manchester and Hertfordshire Universities, and UKMO/FAAM with complementary cloud and atmospheric state measurements. This project provides a leap forward to cirrus modelling, the datasets allowing for testing and development of models and parameterizations used to predict the effect of cirrus clouds in the high troposphere.\r\n\r\nThe project's aim was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform. This objective was achieved through a ground breaking cirrus coupled cloud-radiation airborne campaign across the Arctic and Mid-latitudes, which obtained first time radiation measurements across the electromagnetic spectrum (visible to sub-mm wavelengths) together with state-of-the-art cloud microphysics measurements. This exploited the recent leap in advances in microphysical and radiance data quality. The project will use these unique datasets to test and facilitate improvements to cirrus scattering models and parameterizations for climate and NWP models. The goal of the project was for an accurate parameterisation of cirrus optical properties in global climate modelling and NWP.\r\n\r\nThrough a radiative closure experiment, and testing of cirrus scattering models throughout the LW and SW for the first time, they provided the evidence for a more direct coupling between cloud physics and radiation, and to show that such schemes can simulate the measured radiation fields correctly, through a direct link between GCM prognostic variables and the cirrus optical properties. Such schemes will represent a paradigm shift in GCM parameterization, as current operational GCMs rely on linking radiation to cloud physics through diagnosed quantities only. \r\n \r\nThe objectives of this project were as follows (priority here relates to the order in which the objectives will be met):\r\n1. A radiative closure cirrus cloud-radiation experiment in northern and mid latitudes.\r\n2. Obtain a well calibrated set of high resolution radiance measurements throughout the infra-red and visible spectrum, 0.3-125 microns, from above and below and within an extensive layer of well developed cirrus.\r\n3. Characterise the atmospheric column above and below the cloud layer in terms of humidity distribution, temperature structure and other key radiatively-active species.\r\n4. Map the ice crystal particle size distribution, habit types and crystal complexity (including roughness, concavity etc) within the cloud layer, to provide an accurate, well-constrained, consistent description of the microphysical state.\r\n5. Use derivatives of the macrophysical and microphysical state, including ice water content and temperature, as input into state-of-the-art scattering model codes and cirrus parameterisations, whose output (via a radiative transfer model) will be critically validated against the radiance measurements throughout the sub-mm, infrared and visible spectrum. Sensitivity of the predicted radiance to PSD, habit types, aggregate and ensemble models, crystal complexity will be investigated by reference to the microphysical datasets.\r\n6. Exploit campaign datasets and constraint of cloud microphysical and radiative uncertainties in case studies to facilitate improvement of cirrus scattering models allowing a self-consistent and physically-based parameterisation of the ice crystal scattering properties.\r\n7. Through case studies using northern and mid-latitude campaign datasets, test the ice crystal scattering models and the coupled cloud-radiation parameterization by running the high-resolution version of the MO Unified Model (UM) at 1.0km resolution, with a view to incorporating the new parameterisations into the widely used UM.\r\n \r\nThe results have impacted cirrus modelling in GCMs, both for numerical weather prediction (NWP) and climate change, and in remote sensing.\r\n\r\nIn addition further objectives were to:\r\n8. Conduct a study of the moderating effect of cirrus on far-IR heating rates by comparing derived heating rates directly from the far-IR data, and comparing these to models using the newly-derived scattering properties.\r\n9. Study the spatial variability of the far-IR cirrus radiative signal as a function of the cloud structure, and determine the impact on precision of ((cirrus cloud modelling???.)) \r\n\r\n\r\n****The dataset contains full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. ****" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50835, 50836, 50837, 50839, 50840, 50841, 50842, 50843, 50844, 50845, 50846, 50847, 50848, 50849, 50852, 50854, 50855, 50856, 50857, 50928, 50929, 50930, 50931, 50936, 50937, 50938, 50939, 50940, 50941, 50947, 50948, 50956, 50960, 50965, 50966, 50967, 50969, 50970, 50971, 50973, 50978, 50979, 50982, 50983, 50984, 50985, 50986, 50987, 50988, 50989, 50990, 50991, 50992, 50993, 50994, 50995, 50996, 50997, 50998, 50999, 51000, 51001, 51002, 51003, 51004, 51005, 51006, 51007, 51008, 51009, 51010, 51011, 51012, 51013, 51014, 51015, 51016, 51017, 51018, 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027, 51028, 51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037, 51038, 51039, 51040, 51041, 51042, 51043, 51044, 51045, 51046, 51047, 51048, 51052, 51054, 51055, 51056, 51057, 51058, 51059, 51060, 51061, 51062, 51063, 51064, 51065, 51066, 51067, 51068, 51069, 51070, 51071, 51072, 51073, 51074, 51075, 51076, 51077, 51078, 51079, 51080, 51081, 51082, 51083, 51084, 51087, 51089, 51090, 51104, 51105, 51106, 51107, 51108, 51109, 51110, 51111, 51112, 51113, 51114, 51115, 51116, 51117, 51118, 51119, 51120, 51124, 51126, 51127, 51128, 51130, 51131, 51135, 51136, 51137, 51138, 51139, 51140, 51141, 51142, 51143, 51144, 51145, 51146, 51147, 51148, 51149, 51150, 51151, 51152, 51153, 51154, 51380, 51381, 51382, 51383, 51384, 51385, 51386, 51387, 51388, 51389, 51390, 51391, 51392, 51393, 51394, 51395, 51396, 51397, 51398, 51399, 51400, 51401, 51402, 51403, 51404, 51405, 51406, 51407, 51408, 51409, 51410, 51411, 51444, 51462, 51483, 51486, 51487, 51490, 51491, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51508, 51511, 51512, 51513, 51514, 51515, 51516, 51517, 51518, 51519, 51520, 51521, 51524, 51525, 51526, 51527, 51528, 51529, 51530, 51531, 51532, 51533, 51534, 51535, 51536, 51537, 51538, 51539, 51540, 51541, 51542, 51543, 51544, 51545, 51548, 51549, 51550, 51551, 51552, 51553, 51554, 51555, 51556, 51557, 51558, 51559, 51560, 51561, 51562, 51563, 51566, 51567, 51568, 51569, 51981, 51982, 51983, 51984, 51985, 51986, 51987, 51988, 51989, 51990, 51991, 51992, 51993, 51994, 51995, 51996, 51997, 51998, 51999, 52000, 52001, 52002, 52003, 52004, 52005, 52006, 52007, 52008, 52009, 52010, 52011, 52012, 52013, 52014, 52015, 52016, 52017, 53404, 53405, 53406, 53407, 53408, 53409, 53410, 53411, 53412, 53413, 53414, 53415, 53416, 53417, 53418, 53419, 53420, 53421, 53422, 53423, 53424, 53425, 53426, 53427, 53428, 53429, 53430, 53431, 53432, 53671, 53673, 53674, 53675, 53676, 53677, 53678, 53679, 53680, 53681, 53682, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53718, 53719, 53720, 53721, 53722, 53723, 53724, 53725, 53728, 53729, 53731, 53732, 53734, 53737, 53738, 53739, 53740, 53741, 53742, 53743, 53744, 53745, 53746, 53748, 53751, 53752, 53753, 54967, 54971, 54975, 54976, 60856, 65836, 65842, 65843, 79224, 79225, 79385 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15916, "uuid": "9f0eb1933ba946e9ba807c6e875a54cf", "short_code": "coll", "title": "CIRCCREX: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX)." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." } ], "responsiblepartyinfo_set": [ 70575, 70576, 70577, 70580, 70581, 70582, 70583, 70584, 70578, 70579 ], "onlineresource_set": [ 14542, 14539, 14540, 14541 ] }, { "ob_id": 18741, "uuid": "9a4b5ea669ce478ea0a7e61ab4fe3a9e", "title": "FAAM B812 CIRCCREX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T22:58:00", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "CIRCCREX, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-03-23T20:34:08.636838", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1551, "bboxName": "", "eastBoundLongitude": -4.303256988525391, "westBoundLongitude": -10.383771896362305, "southBoundLatitude": 55.34229278564453, "northBoundLatitude": 57.99724197387695 }, "verticalExtent": null, "result_field": { "ob_id": 18740, "dataPath": "/badc/faam/data/2013/b812-nov-16", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 716948620, "numberOfFiles": 21, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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It was lead by Dr Juliet Pickering (Imperial College London) and Dr Keith Bower (The University of Manchester) between 2013-2016. \r\n\r\nThe aim of the CICCREX project was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform.\r\n\r\nClimate and weather prediction models demand understanding of how cirrus clouds, high in the troposphere (6-14km in altitude) affect our climate. Cirrus covers up to 30% of the globe and its effects should be accurately included in global climate models. Clouds have two main effects; they are the main atmospheric component in the hydrological cycle, but they also trap radiation, both reflecting sunlight back to space (cooling the Earth's surface) and trapping the thermal energy emitted from the surface (as they are cold, emitting less energy to space than an equivalent cloudless sky). The balance between the shortwave (sunlight) and longwave (thermal radiation) effect depends on factors such as altitude and thickness of the cloud, and the size and shape of the ice crystals that make up the cloud. The crystals can take on myriad shapes, and the shapes existing in particular clouds depend on conditions and on the evolutionary sequence that the particles experience; growing, aggregating and/or dissipating over time, dependant on the changes in temperature, humidity and meteorological environment they experience. Different crystal sizes and shapes reflect and scatter light in different ways. Some crystal shapes are efficient at reflecting sunlight, but not thermal radiation and some the other way round. The net effect of a cloud on the radiation budget depends on the microscopic shapes of the crystals inside it. By measuring both the heat emitted by the cloud and its internal crystal properties ('microphysics') we can determine the link between the two, and hence the overall effect the cloud is having on the climate. \r\n\r\nCirrus models have been derived that calculate expected response of different crystal types across the spectrum, and these are usually combined with predicted particle size and shapes (Particle Size Distributions, PSD) found from in-situ flight campaign measurements using cloud probes. These are parameterised (simplified) and used in climate models and general circulation models (GCMs), eg. in numerical weather prediction (NWP) and climate change, but these cirrus models have not been tested across the full spectrum. Some studies have been made of specific radiative properties of some crystal types in the shortwave, and of other crystal types in parts of the longwave, but there has not been a successful measurement covering the full spectrum simultaneously measuring the precise make up of the crystal sizes and types in a cloud. \r\n\r\nThis project carried out a novel flight campaign which combined full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The project tested scattering models and PSD parameterisations used to describe cirrus cloud in atmospheric models, such as the UK MetOffice (MO) Unified model Numerical Weather Prediction (NWP) with model improvements implemented by our MO project partners. \r\n\r\nThe project was possible because of NERC funded research that led to: state-of-the-art cloud probe instruments and software tools that addressed problems of ice crystal shattering at the inlet apertures and the great uncertainty in ice crystal size distributions of the past; and the development of the unique far-IR instrument TAFTS at Imperial College (IC). The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. They combined radiometry in the far-IR of IC, in mid-IR to solar of MO, cloud microphysics instrumentation and expertise of Manchester and Hertfordshire Universities, and UKMO/FAAM with complementary cloud and atmospheric state measurements. This project provides a leap forward to cirrus modelling, the datasets allowing for testing and development of models and parameterizations used to predict the effect of cirrus clouds in the high troposphere.\r\n\r\nThe project's aim was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform. This objective was achieved through a ground breaking cirrus coupled cloud-radiation airborne campaign across the Arctic and Mid-latitudes, which obtained first time radiation measurements across the electromagnetic spectrum (visible to sub-mm wavelengths) together with state-of-the-art cloud microphysics measurements. This exploited the recent leap in advances in microphysical and radiance data quality. The project will use these unique datasets to test and facilitate improvements to cirrus scattering models and parameterizations for climate and NWP models. The goal of the project was for an accurate parameterisation of cirrus optical properties in global climate modelling and NWP.\r\n\r\nThrough a radiative closure experiment, and testing of cirrus scattering models throughout the LW and SW for the first time, they provided the evidence for a more direct coupling between cloud physics and radiation, and to show that such schemes can simulate the measured radiation fields correctly, through a direct link between GCM prognostic variables and the cirrus optical properties. Such schemes will represent a paradigm shift in GCM parameterization, as current operational GCMs rely on linking radiation to cloud physics through diagnosed quantities only. \r\n \r\nThe objectives of this project were as follows (priority here relates to the order in which the objectives will be met):\r\n1. A radiative closure cirrus cloud-radiation experiment in northern and mid latitudes.\r\n2. Obtain a well calibrated set of high resolution radiance measurements throughout the infra-red and visible spectrum, 0.3-125 microns, from above and below and within an extensive layer of well developed cirrus.\r\n3. Characterise the atmospheric column above and below the cloud layer in terms of humidity distribution, temperature structure and other key radiatively-active species.\r\n4. Map the ice crystal particle size distribution, habit types and crystal complexity (including roughness, concavity etc) within the cloud layer, to provide an accurate, well-constrained, consistent description of the microphysical state.\r\n5. Use derivatives of the macrophysical and microphysical state, including ice water content and temperature, as input into state-of-the-art scattering model codes and cirrus parameterisations, whose output (via a radiative transfer model) will be critically validated against the radiance measurements throughout the sub-mm, infrared and visible spectrum. Sensitivity of the predicted radiance to PSD, habit types, aggregate and ensemble models, crystal complexity will be investigated by reference to the microphysical datasets.\r\n6. Exploit campaign datasets and constraint of cloud microphysical and radiative uncertainties in case studies to facilitate improvement of cirrus scattering models allowing a self-consistent and physically-based parameterisation of the ice crystal scattering properties.\r\n7. Through case studies using northern and mid-latitude campaign datasets, test the ice crystal scattering models and the coupled cloud-radiation parameterization by running the high-resolution version of the MO Unified Model (UM) at 1.0km resolution, with a view to incorporating the new parameterisations into the widely used UM.\r\n \r\nThe results have impacted cirrus modelling in GCMs, both for numerical weather prediction (NWP) and climate change, and in remote sensing.\r\n\r\nIn addition further objectives were to:\r\n8. Conduct a study of the moderating effect of cirrus on far-IR heating rates by comparing derived heating rates directly from the far-IR data, and comparing these to models using the newly-derived scattering properties.\r\n9. Study the spatial variability of the far-IR cirrus radiative signal as a function of the cloud structure, and determine the impact on precision of ((cirrus cloud modelling???.)) \r\n\r\n\r\n****The dataset contains full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. ****" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50834, 50835, 50836, 50837, 50839, 50840, 50841, 50843, 50844, 50845, 50846, 50847, 50848, 50849, 50852, 50854, 50930, 50931, 50940, 50941, 50967, 50968, 50969, 50970, 50971, 50972, 50973, 50978, 50979, 50980, 50981, 50982, 50983, 50984, 50985, 50986, 50987, 50988, 50989, 50990, 50991, 50992, 50993, 50994, 50995, 50996, 50997, 50998, 50999, 51000, 51001, 51002, 51003, 51004, 51005, 51006, 51007, 51008, 51009, 51010, 51011, 51012, 51013, 51014, 51015, 51016, 51017, 51018, 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027, 51028, 51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037, 51038, 51039, 51040, 51041, 51042, 51044, 51045, 51046, 51047, 51048, 51052, 51054, 51055, 51056, 51057, 51058, 51059, 51060, 51061, 51062, 51063, 51064, 51065, 51066, 51067, 51068, 51069, 51070, 51071, 51072, 51073, 51074, 51075, 51076, 51077, 51078, 51079, 51080, 51081, 51082, 51083, 51084, 51087, 51380, 51381, 51382, 51383, 51384, 51385, 51386, 51387, 51388, 51389, 51390, 51391, 51392, 51393, 51394, 51395, 51396, 51397, 51398, 51399, 51400, 51401, 51402, 51403, 51404, 51405, 51406, 51407, 51408, 51409, 51410, 51411, 51444, 51462, 51483, 51486, 51487, 51490, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51508, 51511, 51512, 51516, 51517, 51520, 51521, 51525, 51526, 51527, 51528, 51529, 51533, 51537, 51538, 51543, 51548, 51551, 51552, 51553, 51554, 51558, 51568, 51569, 51982, 51983, 51984, 51985, 51986, 51987, 51988, 51989, 51990, 51991, 51992, 51993, 51994, 51995, 51996, 51997, 51998, 51999, 52000, 52001, 52002, 52003, 52004, 52005, 52006, 52007, 52008, 52009, 52010, 52011, 52012, 52013, 52014, 52015, 52016, 52017, 53404, 53405, 53406, 53407, 53408, 53409, 53410, 53411, 53412, 53413, 53414, 53415, 53416, 53417, 53418, 53419, 53420, 53421, 53422, 53423, 53424, 53425, 53426, 53427, 53428, 53429, 53430, 53431, 53432, 53671, 53675, 53676, 53679, 53680, 53681, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53718, 53719, 53720, 53721, 53722, 53723, 53724, 53725, 53726, 53727, 53728, 53729, 53730, 53731, 53732, 53733, 53734, 53735, 53736, 53737, 53738, 53739, 53740, 53741, 53742, 53743, 53744, 53745, 53746, 53747, 53748, 53749, 53750, 53751, 53752, 53753 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15916, "uuid": "9f0eb1933ba946e9ba807c6e875a54cf", "short_code": "coll", "title": "CIRCCREX: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX)." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." } ], "responsiblepartyinfo_set": [ 70589, 70590, 70591, 70594, 70595, 70596, 70597, 70598, 70592, 70593 ], "onlineresource_set": [ 14545, 14544 ] }, { "ob_id": 18745, "uuid": "373015b6935c463db8d8a728ae36f5ad", "title": "FAAM B819 PIKNMIX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:06:02", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "PIKNMIX, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-03-23T20:34:08.951397", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1552, "bboxName": "", "eastBoundLongitude": -0.6428009867668152, "westBoundLongitude": -6.047280311584473, "southBoundLatitude": 55.394371032714844, "northBoundLatitude": 59.960628509521484 }, "verticalExtent": null, "result_field": { "ob_id": 18744, "dataPath": "/badc/faam/data/2013/b819-nov-30", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 721785739, "numberOfFiles": 24, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. 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It was lead by Dr Juliet Pickering (Imperial College London) and Dr Keith Bower (The University of Manchester) between 2013-2016. \r\n\r\nThe aim of the CICCREX project was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform.\r\n\r\nClimate and weather prediction models demand understanding of how cirrus clouds, high in the troposphere (6-14km in altitude) affect our climate. Cirrus covers up to 30% of the globe and its effects should be accurately included in global climate models. Clouds have two main effects; they are the main atmospheric component in the hydrological cycle, but they also trap radiation, both reflecting sunlight back to space (cooling the Earth's surface) and trapping the thermal energy emitted from the surface (as they are cold, emitting less energy to space than an equivalent cloudless sky). The balance between the shortwave (sunlight) and longwave (thermal radiation) effect depends on factors such as altitude and thickness of the cloud, and the size and shape of the ice crystals that make up the cloud. The crystals can take on myriad shapes, and the shapes existing in particular clouds depend on conditions and on the evolutionary sequence that the particles experience; growing, aggregating and/or dissipating over time, dependant on the changes in temperature, humidity and meteorological environment they experience. Different crystal sizes and shapes reflect and scatter light in different ways. Some crystal shapes are efficient at reflecting sunlight, but not thermal radiation and some the other way round. The net effect of a cloud on the radiation budget depends on the microscopic shapes of the crystals inside it. By measuring both the heat emitted by the cloud and its internal crystal properties ('microphysics') we can determine the link between the two, and hence the overall effect the cloud is having on the climate. \r\n\r\nCirrus models have been derived that calculate expected response of different crystal types across the spectrum, and these are usually combined with predicted particle size and shapes (Particle Size Distributions, PSD) found from in-situ flight campaign measurements using cloud probes. These are parameterised (simplified) and used in climate models and general circulation models (GCMs), eg. in numerical weather prediction (NWP) and climate change, but these cirrus models have not been tested across the full spectrum. Some studies have been made of specific radiative properties of some crystal types in the shortwave, and of other crystal types in parts of the longwave, but there has not been a successful measurement covering the full spectrum simultaneously measuring the precise make up of the crystal sizes and types in a cloud. \r\n\r\nThis project carried out a novel flight campaign which combined full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The project tested scattering models and PSD parameterisations used to describe cirrus cloud in atmospheric models, such as the UK MetOffice (MO) Unified model Numerical Weather Prediction (NWP) with model improvements implemented by our MO project partners. \r\n\r\nThe project was possible because of NERC funded research that led to: state-of-the-art cloud probe instruments and software tools that addressed problems of ice crystal shattering at the inlet apertures and the great uncertainty in ice crystal size distributions of the past; and the development of the unique far-IR instrument TAFTS at Imperial College (IC). The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. They combined radiometry in the far-IR of IC, in mid-IR to solar of MO, cloud microphysics instrumentation and expertise of Manchester and Hertfordshire Universities, and UKMO/FAAM with complementary cloud and atmospheric state measurements. This project provides a leap forward to cirrus modelling, the datasets allowing for testing and development of models and parameterizations used to predict the effect of cirrus clouds in the high troposphere.\r\n\r\nThe project's aim was to understand the link between evolving ice cloud microphysical properties and the resulting radiative signatures of the cirrus, at the macrophysical scale, as seen from a remote sensing platform. This objective was achieved through a ground breaking cirrus coupled cloud-radiation airborne campaign across the Arctic and Mid-latitudes, which obtained first time radiation measurements across the electromagnetic spectrum (visible to sub-mm wavelengths) together with state-of-the-art cloud microphysics measurements. This exploited the recent leap in advances in microphysical and radiance data quality. The project will use these unique datasets to test and facilitate improvements to cirrus scattering models and parameterizations for climate and NWP models. The goal of the project was for an accurate parameterisation of cirrus optical properties in global climate modelling and NWP.\r\n\r\nThrough a radiative closure experiment, and testing of cirrus scattering models throughout the LW and SW for the first time, they provided the evidence for a more direct coupling between cloud physics and radiation, and to show that such schemes can simulate the measured radiation fields correctly, through a direct link between GCM prognostic variables and the cirrus optical properties. Such schemes will represent a paradigm shift in GCM parameterization, as current operational GCMs rely on linking radiation to cloud physics through diagnosed quantities only. \r\n \r\nThe objectives of this project were as follows (priority here relates to the order in which the objectives will be met):\r\n1. A radiative closure cirrus cloud-radiation experiment in northern and mid latitudes.\r\n2. Obtain a well calibrated set of high resolution radiance measurements throughout the infra-red and visible spectrum, 0.3-125 microns, from above and below and within an extensive layer of well developed cirrus.\r\n3. Characterise the atmospheric column above and below the cloud layer in terms of humidity distribution, temperature structure and other key radiatively-active species.\r\n4. Map the ice crystal particle size distribution, habit types and crystal complexity (including roughness, concavity etc) within the cloud layer, to provide an accurate, well-constrained, consistent description of the microphysical state.\r\n5. Use derivatives of the macrophysical and microphysical state, including ice water content and temperature, as input into state-of-the-art scattering model codes and cirrus parameterisations, whose output (via a radiative transfer model) will be critically validated against the radiance measurements throughout the sub-mm, infrared and visible spectrum. Sensitivity of the predicted radiance to PSD, habit types, aggregate and ensemble models, crystal complexity will be investigated by reference to the microphysical datasets.\r\n6. Exploit campaign datasets and constraint of cloud microphysical and radiative uncertainties in case studies to facilitate improvement of cirrus scattering models allowing a self-consistent and physically-based parameterisation of the ice crystal scattering properties.\r\n7. Through case studies using northern and mid-latitude campaign datasets, test the ice crystal scattering models and the coupled cloud-radiation parameterization by running the high-resolution version of the MO Unified Model (UM) at 1.0km resolution, with a view to incorporating the new parameterisations into the widely used UM.\r\n \r\nThe results have impacted cirrus modelling in GCMs, both for numerical weather prediction (NWP) and climate change, and in remote sensing.\r\n\r\nIn addition further objectives were to:\r\n8. Conduct a study of the moderating effect of cirrus on far-IR heating rates by comparing derived heating rates directly from the far-IR data, and comparing these to models using the newly-derived scattering properties.\r\n9. Study the spatial variability of the far-IR cirrus radiative signal as a function of the cloud structure, and determine the impact on precision of ((cirrus cloud modelling???.)) \r\n\r\n\r\n****The dataset contains full spectrum radiative measurements (125-0.3 microns) from longwave to shortwave, with state-of-the-art measurements of crystal PSDs, the ice water content and temperature etc. The ability to measure the entire spectrum from an aircraft, and so simultaneously measure the cirrus crystal types, sizes, temperature and IWC, roughness etc., is a unique facility only available on the UK FAAM aircraft. ****" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50835, 50836, 50837, 50839, 50840, 50841, 50843, 50844, 50845, 50846, 50847, 50848, 50849, 50852, 50854, 50855, 50856, 50928, 50929, 50930, 50931, 50936, 50938, 50939, 50940, 50941, 50947, 50948, 50956, 50960, 50966, 50967, 50969, 50970, 50971, 50973, 50978, 50979, 50982, 50983, 50984, 50985, 50986, 50987, 50988, 50989, 50990, 50991, 50992, 50993, 50994, 50995, 50996, 50997, 50998, 50999, 51000, 51001, 51002, 51003, 51004, 51005, 51006, 51007, 51008, 51009, 51010, 51011, 51012, 51013, 51014, 51015, 51016, 51017, 51018, 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027, 51028, 51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037, 51038, 51039, 51040, 51041, 51042, 51043, 51044, 51045, 51046, 51047, 51048, 51052, 51054, 51055, 51056, 51057, 51058, 51059, 51060, 51061, 51062, 51063, 51064, 51065, 51066, 51067, 51068, 51069, 51070, 51071, 51072, 51073, 51074, 51075, 51076, 51077, 51078, 51079, 51080, 51081, 51082, 51083, 51084, 51087, 51089, 51090, 51104, 51105, 51106, 51107, 51108, 51109, 51110, 51111, 51112, 51113, 51114, 51115, 51116, 51117, 51118, 51119, 51120, 51124, 51126, 51127, 51128, 51130, 51131, 51135, 51136, 51137, 51138, 51139, 51140, 51141, 51142, 51143, 51144, 51146, 51147, 51148, 51149, 51150, 51151, 51152, 51153, 51154, 51380, 51381, 51382, 51383, 51384, 51385, 51386, 51387, 51388, 51389, 51390, 51391, 51392, 51393, 51394, 51395, 51396, 51397, 51398, 51399, 51400, 51401, 51402, 51403, 51404, 51405, 51406, 51407, 51408, 51409, 51410, 51411, 51444, 51462, 51483, 51486, 51487, 51490, 51491, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51508, 51511, 51512, 51513, 51514, 51515, 51516, 51517, 51518, 51519, 51520, 51521, 51524, 51525, 51526, 51527, 51528, 51529, 51530, 51531, 51532, 51533, 51534, 51535, 51536, 51537, 51538, 51539, 51540, 51541, 51542, 51543, 51544, 51545, 51548, 51549, 51550, 51551, 51552, 51553, 51554, 51555, 51556, 51557, 51558, 51559, 51560, 51561, 51562, 51563, 51564, 51568, 51569, 51982, 51983, 51984, 51985, 51986, 51987, 51988, 51989, 51990, 51991, 51992, 51993, 51994, 51995, 51996, 51997, 51998, 51999, 52000, 52001, 52002, 52003, 52004, 52005, 52006, 52007, 52008, 52009, 52010, 52011, 52012, 52013, 52014, 52015, 52016, 52017, 53404, 53405, 53406, 53407, 53408, 53409, 53410, 53411, 53412, 53413, 53414, 53415, 53416, 53417, 53418, 53419, 53420, 53421, 53422, 53423, 53424, 53425, 53426, 53427, 53428, 53429, 53430, 53431, 53432, 53671, 53673, 53674, 53675, 53676, 53677, 53678, 53679, 53680, 53681, 53682, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53718, 53719, 53720, 53721, 53722, 53723, 53724, 53725, 53726, 53727, 53728, 53729, 53730, 53731, 53732, 53733, 53734, 53735, 53736, 53737, 53738, 53739, 53740, 53741, 53742, 53743, 53744, 53745, 53746, 53747, 53748, 53749, 53750, 53751, 53752, 53753, 54967, 54971, 54975, 54976, 55387, 65806, 79224, 79225, 79238, 79385 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15916, "uuid": "9f0eb1933ba946e9ba807c6e875a54cf", "short_code": "coll", "title": "CIRCCREX: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX)." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). 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The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was 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\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed 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\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed 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.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. 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The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was 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\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed 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\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed 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.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. 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The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. 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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. 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The aims of APPRAISE were to investigate and understand the underlying properties of airborne particles that affect the lifecycle of aerosol particles which in the end are responsible for their effect on radiation and cloud formation (hence the aerosols direct and indirect radiative contributions to the earth’s radiation budget). The programme tackled the formation, transformation and interaction of particles in the atmosphere to establish and quantify key pathways in their lifecycle. \r\n\r\nAPPRAISE looked at the science of aerosols and their effects on climate, as understanding atmospheric aerosols is one of the most important ways we can improve models of likely climate change, particularly at regional scales. The five-year programme started in 2005 and ended in 2010, and contained three large consortia projects and 4 core projects.\r\n\r\nThe aim of APPRAISE was 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\nAPPRAISE helps us understand and quantify how aerosols:\r\n\r\n- Affect the Earth's radiation budget, by scattering and/or absorbing radiation\r\n- Influence clouds, and hence indirectly affect climate and the hydrological cycle\r\n- Contribute to feedback processes between land, the biosphere and climate\r\n\r\nAPPRAISE consisted of three consortium projects:\r\n\r\n- The Clouds (Aerosol Cloud Interactions and Climate) project aimed 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\n- The ACES project aimed to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\n- The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aimed 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.\r\n\r\nAPPRAISE focused and coordinated NERC's investments in aerosol research. The programme strengthened expertise in the UK, built links between existing excellent science activities, and provided a framework for UK scientists to collaborate with international colleagues. The NERC/Met Office BAe research aircraft and instrumentation, and links to existing modelling programmes, helped the programme put NERC's strategically-important aerosol research at the forefront of international research in this field.\r\n\r\nKeith Bower, University of Manchester, was the Scientific Coordinator for APPRAISE." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50842, 50857, 50858, 50860, 50863, 50866, 50868, 50869, 50883, 50884, 50888, 50889, 50891, 50898, 50925, 50928, 50932, 50933, 50937, 50952, 50965, 51217, 51218, 51220, 51222, 51223, 51224, 51225, 51226, 51227, 51231, 51237, 51238, 51241, 51242, 51253, 51254, 51259, 51260, 51261, 51263, 51267, 51268, 51269, 51271, 51272, 51277, 51280, 51281, 51282, 51287, 51288, 51289, 51290, 51294, 51296, 51297, 51298, 51300, 51302, 51303, 51304, 51311, 51314, 51493, 51495, 51496, 51498, 51499, 51501, 51504, 51505, 51506, 51514, 51516, 51525, 51526, 51528, 51529, 51532, 51533, 51534, 51537, 51538, 51539, 51543, 51551, 51568, 51569, 53675, 53676, 53712, 53713, 53714, 53715, 53717, 53742, 57942, 65806, 65836, 65840, 65842, 65843, 65844, 65846, 65851, 65852, 65875, 65877, 65887, 65890, 65892, 65938, 65939, 65944, 65948, 65949, 65951, 65955, 71785, 78928, 78929, 78931, 78932, 78933, 78941, 79734, 79735 ], "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 " }, { "ob_id": 15222, "uuid": "3856730151b64dc49055f383ada95f05", "short_code": "coll", "title": "APPRAISE: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for APPRAISE - Aerosol properties, processes and influences on the Earth's climate ." }, { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." } ], "responsiblepartyinfo_set": [ 70883, 70884, 70885, 70888, 70889, 70890, 70891, 70892, 70886, 70887 ], "onlineresource_set": [ 14686, 14684, 14685 ] }, { "ob_id": 18829, "uuid": "b24ec4a348be46c6ac90bf1400ed86e3", "title": "FAAM B149 Buncefield Smoke Experiment flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for BUNCEFIELD SMOKE EXPERIMENT (Buncefield Smoke Experiment) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-04-30T10:13:33", "updateFrequency": "asNeeded", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "Buncefield Smoke Experiment, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-03-31T21:02:53.431284", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1755, "bboxName": "", "eastBoundLongitude": 0.4531182050704956, "westBoundLongitude": -1.0987415313720703, "southBoundLatitude": 50.90913391113281, "northBoundLatitude": 52.326080322265625 }, "verticalExtent": null, "result_field": { "ob_id": 18828, "dataPath": "/badc/faam/data/2005/b149-dec-13", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 563371791, "numberOfFiles": 21, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." }, { "ob_id": 17934, "uuid": "49fbc12a04274effafba6c19b2297879", "short_code": "coll", "title": "Buncefield Smoke Experiment: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for BUNCEFIELD SMOKE EXPERIMENT (Buncefield Smoke Experiment)." } ], "responsiblepartyinfo_set": [ 70897, 70898, 70899, 70902, 70903, 70904, 70905, 70906, 70900, 70901 ], "onlineresource_set": [ 14695, 14691, 14692, 14693, 14694 ] }, { "ob_id": 18833, "uuid": "318c76815a2d40e6ac39d49a97be8182", "title": "FAAM B172 DODO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for UK SOLAS Dust Outflow and Deposition to the Ocean (DODO) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-07-09T12:36:37", "updateFrequency": "asNeeded", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "DODO, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-09-21T12:48:34.007081", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4190, "bboxName": "", "eastBoundLongitude": -16.880852, "westBoundLongitude": -17.482697, "southBoundLatitude": 14.691578, "northBoundLatitude": 20.929184 }, "verticalExtent": null, "result_field": { "ob_id": 18832, "dataPath": "/badc/faam/data/2006/b172-feb-13", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 25489267, "numberOfFiles": 15, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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Measurements have included Chemical composition, microphysics and optical properties of aerosols, Radiative fluxes, Trace gas chemistry.\r\n\r\nNERC Grants: NE/C517276/1; NE/C517292/1; NE/C517284/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50834, 51679, 51680, 51745, 51746, 51747, 51751, 51752, 51756, 51757, 51758, 51760, 51776, 51777, 51778, 51779, 51780, 51786, 51787, 51789, 51790, 51791, 51792, 51793, 51794, 51795, 51796, 51797, 51798, 51799, 51804, 51808, 51809, 51810, 51811, 51812, 51908, 51909, 51910, 51911, 51912, 51913, 51914, 51915, 51916, 51917, 51918, 51919, 51920, 51921, 51922, 51923, 51924, 51927, 51928, 51933, 51940, 51960, 51961, 51962, 51966, 51968, 51969, 51970, 51971, 51972, 51976, 51977, 52116, 52117, 52118, 52119, 52120, 52121, 52167, 52168, 52173, 52174, 52175, 52176, 52177, 52178, 52179, 52180, 52181, 52182, 52183, 52184, 52185, 52186, 52187, 52188, 52189, 53331, 53332, 53333, 53334, 53335, 53336, 53337, 53338 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. 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Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM The final WP addresses the problem of predictability, using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. 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These images are part of this dataset along with flight summaries.\r\n\r\nThe DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three sections.\r\n\r\nReal mesoscale structures in the atmosphere have been examined, using high-resolution in situ and radar measurements to derive their morphology and dynamics. 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Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM.\r\n\r\nThe problem of predictability will be addressed using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. Finally, novel approaches to data assimilation will be investigated." } ], "responsiblepartyinfo_set": [ 71135, 71136, 71137, 71140, 71141, 71142, 71143, 71144, 71138, 71139 ], "onlineresource_set": [ 14770, 14768, 14769 ] }, { "ob_id": 18901, "uuid": "8a90b9434c524a36884c836ad1c5347f", "title": "FAAM B649 OMEGA flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for OMEGA (BAFFLES) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-04T04:56:15", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "OMEGA, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:13.326635", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1573, "bboxName": "", "eastBoundLongitude": -0.5263128280639648, "westBoundLongitude": -0.632516622543335, "southBoundLatitude": 52.03788757324219, "northBoundLatitude": 52.10765075683594 }, "verticalExtent": null, "result_field": { "ob_id": 18900, "dataPath": "/badc/faam/data/2011/b649-sep-21", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1286639220, "numberOfFiles": 25, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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This consortium brought a range of expertise, from measurements of methane and its isotopes, and other greenhouse gases, through flux measurements to numerical analysis and modelling. \r\n\r\nThe project was led by the University of Cambridge, and in association with the University of Manchester, University of East Anglia, Royal Holloway, University of London, Centre for Ecology and Hydrology and UK and International partners (Met Office, NILU, NOAA, etc).\r\n\r\nMAMM was funded by the Natural Environment Research Council (NERC) for three and a half years from October 2011 (NERC Reference: NE/I0291161/1).\r\n\r\nMAMM Data Providers may request access to the MAMM Project Space. All information is available under Docs below.\r\n\r\nThe Arctic is a major source of atmospheric methane and other greenhouse gases, with both natural and anthropogenic emissions. Arctic greenhouse gas sources have the potential to be important globally, changing radiative forcing and atmospheric oxidizing capacity. Moreover, both palaeorecords and present-day studies suggest some sources, such as wetlands and methane hydrates, may show strong positive feedbacks [Nisbet and Chappellaz, 2009], so that the warming feeds the warming. It is urgent that Arctic greenhouse gas sources should be quantified, by strength, geographic location, character (e.g. wetland, gasfield, clathrate), and by temporal variation (summer, winter, day, night), and their vulnerability to change assessed. We addressed these issues by an integrated program of measurement and modelling. Analysis of gas mixing ratios (concentrations), isotopic character, and source fluxes, were made both from the ground and aircraft. Both past and new measurements were modelled using a suite of techniques. Fluxes were implemented into the JULES land surface model. Atmospheric modelling, including trajectory and inverse modelling have improved understanding on the local/regional scale, placing the role of Arctic emissions in large scale global atmospheric change. 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Atmospheric modelling, including trajectory and inverse modelling will improve understanding on the local/regional scale, placing the role of Arctic emissions in large scale global atmospheric change. \r\n\r\nThe project was led by the University of Cambridge, and in association with the University of Manchester, University of East Anglia, Royal Holloway, University of London, Centre for Ecology and Hydrology and UK and International partners (Met Office, NILU, NOAA, etc)." } ], "responsiblepartyinfo_set": [ 71229, 71230, 71231, 71234, 71235, 71236, 71237, 71238, 71232, 71233 ], "onlineresource_set": [ 14810, 14807, 14808, 14809 ] }, { "ob_id": 18926, "uuid": "91c0767307974367a2092374426582bf", "title": "FAAM B720 MAMM flight, number 5: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 5 for Methane and other greenhouse gases in the Arctic - Measurements, process studies and Modelling (MAMM) as part of the NERC Arctic Research Programme (ARP) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-01-06T10:09:49", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "MAMM, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:13.702614", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1577, "bboxName": "", "eastBoundLongitude": 28.57952880859375, "westBoundLongitude": 20.27903938293457, "southBoundLatitude": 66.97916412353516, "northBoundLatitude": 69.54736328125 }, "verticalExtent": null, "result_field": { "ob_id": 18925, "dataPath": "/badc/faam/data/2012/b720-jul-22", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5173202113, "numberOfFiles": 51, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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This consortium brought a range of expertise, from measurements of methane and its isotopes, and other greenhouse gases, through flux measurements to numerical analysis and modelling. \r\n\r\nThe project was led by the University of Cambridge, and in association with the University of Manchester, University of East Anglia, Royal Holloway, University of London, Centre for Ecology and Hydrology and UK and International partners (Met Office, NILU, NOAA, etc).\r\n\r\nMAMM was funded by the Natural Environment Research Council (NERC) for three and a half years from October 2011 (NERC Reference: NE/I0291161/1).\r\n\r\nMAMM Data Providers may request access to the MAMM Project Space. All information is available under Docs below.\r\n\r\nThe Arctic is a major source of atmospheric methane and other greenhouse gases, with both natural and anthropogenic emissions. Arctic greenhouse gas sources have the potential to be important globally, changing radiative forcing and atmospheric oxidizing capacity. Moreover, both palaeorecords and present-day studies suggest some sources, such as wetlands and methane hydrates, may show strong positive feedbacks [Nisbet and Chappellaz, 2009], so that the warming feeds the warming. It is urgent that Arctic greenhouse gas sources should be quantified, by strength, geographic location, character (e.g. wetland, gasfield, clathrate), and by temporal variation (summer, winter, day, night), and their vulnerability to change assessed. We addressed these issues by an integrated program of measurement and modelling. Analysis of gas mixing ratios (concentrations), isotopic character, and source fluxes, were made both from the ground and aircraft. Both past and new measurements were modelled using a suite of techniques. Fluxes were implemented into the JULES land surface model. 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It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." }, { "ob_id": 6089, "uuid": "03b040a422a4b694a90252410613282e", "short_code": "coll", "title": "MAMM: Airborne Methane and Other Greenhouse Gases Measurements", "abstract": "The Methane and other greenhouse gases in the Artic - Measurements, process studies and Modelling (MAMM) project was a consortium as part of the NERC Artic Research Programme. This project used a range of expertise, from measurements of methane and its isotopes, and other greenhouse gases, through flux measurements to numerical analysis and modelling. Analysis of gas mixing ratios (concentrations), isotopic character, and source fluxes, both from the ground and aircraft. Both past and new measurements were modelled using a suite of techniques. Fluxes were implemented into the JULES land surface model. Atmospheric modelling, including trajectory and inverse modelling will improve understanding on the local/regional scale, placing the role of Arctic emissions in large scale global atmospheric change. \r\n\r\nThe project was led by the University of Cambridge, and in association with the University of Manchester, University of East Anglia, Royal Holloway, University of London, Centre for Ecology and Hydrology and UK and International partners (Met Office, NILU, NOAA, etc)." } ], "responsiblepartyinfo_set": [ 71243, 71244, 71245, 71248, 71249, 71250, 71251, 71252, 71246, 71247 ], "onlineresource_set": [ 14817, 14814, 14815, 14816 ] }, { "ob_id": 18930, "uuid": "f8cd1bbc7947471aa47e198cfd7fc705", "title": "FAAM B640 AEGEAN-GAME and EUFAR flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for AEGEAN-GAME - AEGEAN Pollution: Gaseous and Aerosol airborne Measurements project and European Facility for Airborne Research in Environmental and Geo-sciences (EUFAR).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T23:03:36", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "AEGEAN-GAME, EUFAR, FAAM, airborne, atmospheric measurments", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-01-07T14:22:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1945, "bboxName": "", "eastBoundLongitude": 26.081186294555664, "westBoundLongitude": 23.9846134185791, "southBoundLatitude": 35.3436279296875, "northBoundLatitude": 40.12043380737305 }, "verticalExtent": null, "result_field": { "ob_id": 18929, "dataPath": "/badc/faam/data/2011/b640-sep-04", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 372300104, "numberOfFiles": 20, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." }, { "ob_id": 17981, "uuid": "49304a80a55343aca2f147d0c60e5a65", "short_code": "coll", "title": "AEGEAN-GAME: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for AEGEAN-GAME - AEGEAN Pollution: Gaseous and Aerosol airborne Measurements project." }, { "ob_id": 6382, "uuid": "d40e4067ae0121b31bb1ba57e04707de", "short_code": "coll", "title": "EUFAR: Airborne in-situ atmospheric and hyperspectral data collection from funded flight campaigns", "abstract": "European Facility for Airborne Research in Environmental and Geo-sciences 2 (EUFAR 2) is an Integrating Activity of the 7th Framework Program of the European Commission following three previous contracts under FP5, FP6 and FP7, bringing together 24 European institutions and organisations involved in airborne research, operating 18 instrumented aircraft and providing access to 3 hyperspectral instruments.\r\n\r\nTo facilitate wide access and to maximise the potential of the valuable scientific data collected during the EUFAR FP7 projects (2008-2018), data are available through a single archive at BADC. The data itself is stored either in an accessible online archive operated by the aircraft operator (eg NERC-ARSF, FAAM-BAE-146) or lodged in the BADC EUFAR archive.\r\n\r\nData include measurements by airborne in situ atmospheric instuments and hyperspectral instruments operated on board the aircraft of the EUFAR fleet during projects funded under the transnational access part of EUFAR and during training events. The data available will vary from aircraft to aircraft depending on the instruments on board and the aims and flight patterns for each project.\r\n\r\nDuring the first FP7 project (EUFAR 2008-2013) thirteen aircraft and one additional instrument (APEX) were involved in 43 projects including a collaboration of data from volcanic ash flights following the eruption of the Icelandic volcano, Eyjafjallajokull, in April 2010. These projects are A-NEW, ACEMED, ADDRESSS, AEGEAN-GAME, AIMWETLAB, AIRES-CZM, ALISA, ARMSRACE, BIOHYPE, BLLATE1, BLLATE2, DeInVader, DeMinTIR, DRAMAC, EDOCROS, Eyjafjallajokull, GEOMAD, HABlakes, HYMEDECOS-Erosion, HyMedEcos-Gradients, HyMountEcos, HYMOWEB, HyperForest, HYPERSTRESS, i-WAKE2, ICARE-QAD, ICELAND_DEBRISFLOWS, IMROM, LADUNEX, MORE, RAIN4DUST, REFLEX, SEDMEDHY, SONATA, SRMGlaciers, SVALBD_PGLACIAL2, T-MAPP-FP7, TETRAD, UR-TIR, ValCalHyp, VESSAER, WaLiTemp. All expected data from these flight have now been archived.\r\n\r\nEUFAR2 (2014-2018) is collecting data for these projects: AHSPECT, DEHESHYRE, HIDHAZ_N_ICELAND, HILBILLY, HOLUHRAUN_HAZ, HYMOSENS2, HYPPOS, ISOTHERM, MEDHY2CON, SAVEX, SWAMP, URBSENSE. 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These projects are A-NEW, ACEMED, ADDRESSS, AEGEAN-GAME, AIMWETLAB, AIRES-CZM, ALISA, ARMSRACE, BIOHYPE, BLLATE1, BLLATE2, DeInVader, DeMinTIR, DRAMAC, EDOCROS, Eyjafjallajokull, GEOMAD, HABlakes, HYMEDECOS-Erosion, HyMedEcos-Gradients, HyMountEcos, HYMOWEB, HyperForest, HYPERSTRESS, i-WAKE2, ICARE-QAD, ICELAND_DEBRISFLOWS, IMROM, LADUNEX, MORE, RAIN4DUST, REFLEX, SEDMEDHY, SONATA, SRMGlaciers, SVALBD_PGLACIAL2, T-MAPP-FP7, TETRAD, UR-TIR, ValCalHyp, VESSAER, WaLiTemp. All expected data from these flight have now been archived.\r\n\r\nEUFAR2 (2014-2018) is collecting data for these projects: AHSPECT, DEHESHYRE, HIDHAZ_N_ICELAND, HILBILLY, HOLUHRAUN_HAZ, HYMOSENS2, HYPPOS, ISOTHERM, MEDHY2CON, SAVEX, SWAMP, URBSENSE. 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Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), we will work to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three broad work packages. The first of these aims to look at real mesoscale structures in the atmosphere, using high-resolution in situ and radar measurements to derive their morphology and dynamics. The key to the latter is to calculate the production of potential vorticity by diabatic processes - especially phase changes of water (vapour/liquid/ice) and air-sea fluxes of sensible and latent heat. The associated high-resolution modelling programme will use the UM to simulate a representative number of events, diagnosing the PV tendency in the model and comparing with the measurements. Sensitivity studies and further diagnostics with the model will reveal the sensitivity of the forecasts to the correct representation of these processes and the dynamical consequences of diabatically-generated PV, both on the mesoscale and larger scales. Two student projects will investigate the role of boundary-layer processes in storm behaviour and conduct a statistical investigation of mesoscale precipitation features, based on archived radar and wind profiler data. The second WP examines particular physical processes and the way these are represented in forecast models. Convection cannot be explicitly represented in current large-scale models (it is just beginning to be resolvable by high-resolution local-area models) so it needs to be parameterised. The schemes that are used are not optimised for mid-latitude storms, where convection often initiates at altitude rather than at the Earth's surface. A combination of novel diagnostics and new (or modified) schemes aimed at improving the representation of convection will be developed in this WP. Also addressed here will be the derivation of air-sea fluxes of heat and momentum from aircraft flights, and their use (as part of a larger, ongoing international project) to derive a better parameterisation for these quantities in high wind conditions. Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM The final WP addresses the problem of predictability, using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. Finally, novel approaches to data assimilation will be investigated through a student project." }, { "ob_id": 14417, "uuid": "700cb5101892487fb3577a8bd96ebdc0", "short_code": "proj", "title": "OMEGA (BAFFLES)", "abstract": "Aims:\r\n\r\nTo investigate the possible use of aerodynamic baffles on an airfield, behind an aircraft’s point of take-off, to encourage the natural dispersion of emitted pollutants.\r\nMeteorological Conditions: . \r\nRestrictions that may lead to cancellation\r\nMeasurements of the FAAM aircraft exhaust plume are weather dependent. Adverse weather conditions will lead to a postponement of the trials, as this will affect the quality of the measurements and safety on the airfield.\r\n1) Wind direction and speed : SW less than 15 knots. If the wind is such that Runway 03 flight operations are required, the trial will be postponed until another day. 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These images are part of this dataset along with flight summaries.\r\n\r\nThe DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three sections.\r\n\r\nReal mesoscale structures in the atmosphere have been examined, using high-resolution in situ and radar measurements to derive their morphology and dynamics. 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Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM.\r\n\r\nThe problem of predictability will be addressed using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. 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Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), we will work to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three broad work packages. The first of these aims to look at real mesoscale structures in the atmosphere, using high-resolution in situ and radar measurements to derive their morphology and dynamics. The key to the latter is to calculate the production of potential vorticity by diabatic processes - especially phase changes of water (vapour/liquid/ice) and air-sea fluxes of sensible and latent heat. The associated high-resolution modelling programme will use the UM to simulate a representative number of events, diagnosing the PV tendency in the model and comparing with the measurements. Sensitivity studies and further diagnostics with the model will reveal the sensitivity of the forecasts to the correct representation of these processes and the dynamical consequences of diabatically-generated PV, both on the mesoscale and larger scales. Two student projects will investigate the role of boundary-layer processes in storm behaviour and conduct a statistical investigation of mesoscale precipitation features, based on archived radar and wind profiler data. The second WP examines particular physical processes and the way these are represented in forecast models. Convection cannot be explicitly represented in current large-scale models (it is just beginning to be resolvable by high-resolution local-area models) so it needs to be parameterised. The schemes that are used are not optimised for mid-latitude storms, where convection often initiates at altitude rather than at the Earth's surface. A combination of novel diagnostics and new (or modified) schemes aimed at improving the representation of convection will be developed in this WP. Also addressed here will be the derivation of air-sea fluxes of heat and momentum from aircraft flights, and their use (as part of a larger, ongoing international project) to derive a better parameterisation for these quantities in high wind conditions. Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM The final WP addresses the problem of predictability, using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. 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Sentinel 3A was launched on the 16th of February 2016. \r\n\r\nThese data contain geo-located and fully calibrated multi-looked High-Resolution power echoes. \r\nThese level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user. The level 1B SAR product contains the same variables as the level 1B-S product except for the waveform and the stack characterisation parts. 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Downloaded from the Sentinel hubs for use by the CEDA community.", "removedDataReason": "", "keywords": "Sentinel, Synthetic Aperture Radar Altimeter, SRAL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2022-12-15T09:03:19", "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": 26983, "dataPath": "/neodc/sentinel3a/data/SRAL/L1_SRA/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6398005075261, "numberOfFiles": 205558, "fileFormat": "Data are provided by ESA in zipped SAFE format." }, "timePeriod": { "ob_id": 8993, "startTime": "2016-03-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 3218, "explanation": "Data provided by ESA. CEDA download the data from the Collaborative or open access data hubs to make available on the CEDA archive.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2019-01-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 19018, "uuid": "ed75ee9f51144d5bbd6a971101f92211", "short_code": "cmppr", "title": "Composite Process for: Level 1 data from the Sentinel 3 Synthetic Aperture Radar Altimeter (SRAL)", "abstract": "Composite process for Level 1 data from the Synthetic Aperture Radar Altimeter (SRAL) deployed on Sentinel 3. This consists of the Acquisition process for raw data from the Sentinel 3 SRAL and the computation component to produce processed Level 1 data." }, "imageDetails": [ 148 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2586, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 49, "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12321, "uuid": "7896ea1117dc4fa9bb95485ca9b1c6be", "short_code": "proj", "title": "Copernicus Programme", "abstract": "Copernicus, formerly known as the Global Monitoring for Environment and Security (GMES) programme, is headed by the European Commission (EC) in partnership with the European Space Agency (ESA). Within the Copernicus Space Component, ESA is developing a series of Sentinel satellite missions. Data from the Sentinel missions, as well as from Contributing Missions from other space agencies, are made freely available through a unified ground segment. Each Sentinel mission is comprised of a constallation of two or more satellites to fulfil the timeliness and reliability requirements of the Copernicus Services environmental monitoring and civil security activities. As well as operational and monitoring capabilities, the Sentinel missions will provide a wealth of Earth Observation data for scientific exploitation. The Sentinel 1 mission provides all weather, day and night radar imagery with scientific applications in sea-ice measurements, biomass observations and earthquake analysis. Sentinel 2 is a high resolution imaging mission to provide imagery of vegetation, soil and water cover, inland waterways and coastal areas. Sentinel 3 is a multi-instrument mission to measure sea-surface topography, sea- and land-surface temperature, ocean colour and land colour with high-end accuracy and reliability. Sentinel 4 is devoted to atmospheric monitoring and will be flown on a Meteosat Third Generation-Sounder (MTG-S) satellite in geostationary orbit. Sentinel 5 will monitor the atmosphere from polar orbit on board a MetOp Second Generation satellite. The Sentinel 5 precursor satellite mission is being developed to reduce data gaps between Envisat, in particular the Sciamachy instrument, and the launch of Sentinel 5. The Sentinel 5 mission will be dedicated to atmospheric monitoring. Sentinel 6 carries a radar altimeter to measure global sea-surface height, primarily for operational oceanography and for climate studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "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." }, { "ob_id": 32818, "uuid": "0bcc2457250548abb51a90f96772c374", "short_code": "coll", "title": "Sentinel 3A data", "abstract": "This dataset collection contains data products from all of the instruments on the European Space Agency (ESA) Sentinel 3A satellite. Sentinel 3A was launched on 16th February 2016.\r\n\r\nThe Sentinel 3 satellites have 3 main instruments on board: Sea and Land Surface Temperature Radiometer (SLSTR), Ocean and Land Colour Instrument (OLCI) and SAR Radar Altimeter (SRAL).\r\n\r\nData are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user." } ], "responsiblepartyinfo_set": [ 71559, 113223, 71557, 146257, 71552, 71554, 71556, 71555, 71558, 71553, 146258 ], "onlineresource_set": [ 14971, 14972 ] }, { "ob_id": 19020, "uuid": "9c81fbd219a14ce8ad487b3a810ebef3", "title": "APPRAISE CLOUDS: aerosol mass concentrations from the University of Manchester Aerodyne Aerosol Mass Spectrometer deployed at the Chilbolton Observatory, Hampshire", "abstract": "Data were collected on the 27th of November 2008 and on 5th of January 2009 by the University of Manchester Aerodyne Aerosol Mass Spectrometer at the Chilbolton Observatory, Hampshire, in support of the FAAM campaign in the South-West of the UK. The dataset contains measurements of aerosol mass concentrations. \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.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "appraise, cloud, aerosol mass concentrations", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 92, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 1927, "startTime": "2009-01-06T00:00:00", "endTime": "2009-01-06T23:59:59" }, "resultQuality": { "ob_id": 1734, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6562, "uuid": "bdbb599e415f4584badb24f532518a41", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Multi-Angle Absorption Photometer Data for the ICE Consortium Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Multi-Angle Absorption Photometer (MAAP); PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [], "permissions": [], "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": [], "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": [ 71576, 71570, 71569, 71571, 71572, 71573, 71574, 71575, 71577, 71578, 71579 ], "onlineresource_set": [ 14975, 14974 ] }, { "ob_id": 19021, "uuid": "b736c844f45d486ca873e1ca8971cab3", "title": "APPRAISE CLOUDS: aerosol concentrations from the University of Manchester GRIMM Dust Monitor deployed at the Chilbolton Observatory, Hampshire", "abstract": "Data were collected on 6th January 2009 by the University of Manchester GRIMM dust monitor at the Chilbolton Observatory, Hampshire, in support of the FAAM campaign in the South-West of the UK. The dataset contains measurements of aerosol concentrations.\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.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-06-16T16:30:18", "updateFrequency": "notPlanned", "dataLineage": "Data provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "appraise, cloud, aerosol mass concentrations", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-12-10T10:34:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 92, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19023, "dataPath": "/badc/appraise/data/clouds/man-grimm/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2683833, "numberOfFiles": 2, "fileFormat": "Data are NASA-Ames formatted" }, "timePeriod": { "ob_id": 1927, "startTime": "2009-01-06T00:00:00", "endTime": "2009-01-06T23:59:59" }, "resultQuality": { "ob_id": 1734, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 25348, "uuid": "fbd1cbf9f19f4468889becc6f81d52f6", "short_code": "acq", "title": "APPRAISE Clouds - University of Manchester GRIMM instrument data", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester GRIMM instrument; PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "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": 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": [ 17418, 17419, 17420, 17421, 17422, 17423, 17424, 17425, 17426, 17427, 17428, 17429, 17430, 17431, 17432 ], "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": [ 71580, 71582, 71583, 71584, 71585, 71586, 71587, 71581, 71588, 71589, 71590 ], "onlineresource_set": [ 14976, 14977 ] }, { "ob_id": 19022, "uuid": "8c80eacd17aa48e1aa57a1f9895eb9d2", "title": "APPRAISE CLOUDS: UCPC data from the University of Manchester UCPC instrument deployed at the Chilbolton Observatory, Hampshire", "abstract": "Data were collected on the 27th of November 2008 and on the 6th of January 2009 by the University of Manchester scanning mobility particle sizer at the Chilbolton site in support of the FAAM Campaign in the South-West of England. The dataset contains measurements of concentrations of aerosols of specific sizes.\r\n\r\nThe data were collected for use in the ICE project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-06-16T15:43:57", "updateFrequency": "notPlanned", "dataLineage": "Data for provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "appraise, cloud, particle counter", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-12-10T10:36:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 59, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 19024, "dataPath": "/badc/appraise/data/clouds/man-ucpc/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 114615505, "numberOfFiles": 3, "fileFormat": "Data are NASA-Ames formatted" }, "timePeriod": { "ob_id": 1928, "startTime": "2008-11-27T00:00:00", "endTime": "2009-01-06T00:00:00" }, "resultQuality": { "ob_id": 1735, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 25349, "uuid": "deed44f423a448888b8d9fdea48b3772", "short_code": "acq", "title": "APPRAISE Clouds - University of Manchester UCPC at Chilbolton Observatory", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester/UFAM (Universities' Facility for Atmospheric Measurement): UPCP PLATFORMS: Chilbolton Observatory" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "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": 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": [ 52353 ], "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": [ 71596, 71597, 71598, 71591, 71593, 71594, 71595, 71592, 71599, 71600, 71601 ], "onlineresource_set": [ 14978, 14979 ] }, { "ob_id": 19025, "uuid": "99180e6c305744be9b5e73b7a0e4b324", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3A the OLCI instrument provides a spatial resolution of 300m with worldwide coverage every ~2 days.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-12-20T01:21:29", "updateFrequency": "continual", "dataLineage": "Data collected and prepared by European Space Agency (ESA). 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Data from the Sentinel missions, as well as from Contributing Missions from other space agencies, are made freely available through a unified ground segment. Each Sentinel mission is comprised of a constallation of two or more satellites to fulfil the timeliness and reliability requirements of the Copernicus Services environmental monitoring and civil security activities. As well as operational and monitoring capabilities, the Sentinel missions will provide a wealth of Earth Observation data for scientific exploitation. The Sentinel 1 mission provides all weather, day and night radar imagery with scientific applications in sea-ice measurements, biomass observations and earthquake analysis. Sentinel 2 is a high resolution imaging mission to provide imagery of vegetation, soil and water cover, inland waterways and coastal areas. Sentinel 3 is a multi-instrument mission to measure sea-surface topography, sea- and land-surface temperature, ocean colour and land colour with high-end accuracy and reliability. Sentinel 4 is devoted to atmospheric monitoring and will be flown on a Meteosat Third Generation-Sounder (MTG-S) satellite in geostationary orbit. Sentinel 5 will monitor the atmosphere from polar orbit on board a MetOp Second Generation satellite. The Sentinel 5 precursor satellite mission is being developed to reduce data gaps between Envisat, in particular the Sciamachy instrument, and the launch of Sentinel 5. The Sentinel 5 mission will be dedicated to atmospheric monitoring. Sentinel 6 carries a radar altimeter to measure global sea-surface height, primarily for operational oceanography and for climate studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 26117 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "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. 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Sentinel 3A was launched on 16th February 2016.\r\n\r\nThe Sentinel 3 satellites have 3 main instruments on board: Sea and Land Surface Temperature Radiometer (SLSTR), Ocean and Land Colour Instrument (OLCI) and SAR Radar Altimeter (SRAL).\r\n\r\nData are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user." } ], "responsiblepartyinfo_set": [ 71602, 71603, 143586, 182460, 71605, 71608, 71604, 71606, 71607, 71609 ], "onlineresource_set": [ 14986, 14987, 23920 ] }, { "ob_id": 19030, "uuid": "341ac8194a5c4559ab8828ccbb4a0be5", "title": "Sentinel 3A Sea and Land Surface Temperature Radiometer (SLSTR) Level 2 data", "abstract": "This dataset contains data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. 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Please see the individual dataset records for conditions of use." }, { "ob_id": 32818, "uuid": "0bcc2457250548abb51a90f96772c374", "short_code": "coll", "title": "Sentinel 3A data", "abstract": "This dataset collection contains data products from all of the instruments on the European Space Agency (ESA) Sentinel 3A satellite. Sentinel 3A was launched on 16th February 2016.\r\n\r\nThe Sentinel 3 satellites have 3 main instruments on board: Sea and Land Surface Temperature Radiometer (SLSTR), Ocean and Land Colour Instrument (OLCI) and SAR Radar Altimeter (SRAL).\r\n\r\nData are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user." } ], "responsiblepartyinfo_set": [ 71624, 71625, 71626, 71627, 71629, 71623, 71628, 204884, 71630 ], "onlineresource_set": [ 15002, 15001, 23910 ] }, { "ob_id": 19036, "uuid": "3510f90e4a7c4447b37d07fa61703870", "title": "Sentinel 3A Sea and Land Surface Temperature Radiometer (SLSTR) Level 1B radiances and brightness temperature data", "abstract": "This dataset contains Radiances and Brightness Temperature data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature, active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T16:07:33", "updateFrequency": "continual", "dataLineage": "Data collected and prepared by European Space Agency (ESA). Downloaded from the ESA Scientific Data Hub (Scihub) for use by the CEDA registered users.", "removedDataReason": "", "keywords": "Sentinel, Radiances and Brightness Temperature, SLSTR. 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This consists of the Acquisition process for raw data from the Sentinel 3 SLSTR and the computation component to produce processed data." }, "imageDetails": [ 148 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2586, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 49, "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12321, "uuid": "7896ea1117dc4fa9bb95485ca9b1c6be", "short_code": "proj", "title": "Copernicus Programme", "abstract": "Copernicus, formerly known as the Global Monitoring for Environment and Security (GMES) programme, is headed by the European Commission (EC) in partnership with the European Space Agency (ESA). Within the Copernicus Space Component, ESA is developing a series of Sentinel satellite missions. Data from the Sentinel missions, as well as from Contributing Missions from other space agencies, are made freely available through a unified ground segment. Each Sentinel mission is comprised of a constallation of two or more satellites to fulfil the timeliness and reliability requirements of the Copernicus Services environmental monitoring and civil security activities. As well as operational and monitoring capabilities, the Sentinel missions will provide a wealth of Earth Observation data for scientific exploitation. The Sentinel 1 mission provides all weather, day and night radar imagery with scientific applications in sea-ice measurements, biomass observations and earthquake analysis. Sentinel 2 is a high resolution imaging mission to provide imagery of vegetation, soil and water cover, inland waterways and coastal areas. Sentinel 3 is a multi-instrument mission to measure sea-surface topography, sea- and land-surface temperature, ocean colour and land colour with high-end accuracy and reliability. Sentinel 4 is devoted to atmospheric monitoring and will be flown on a Meteosat Third Generation-Sounder (MTG-S) satellite in geostationary orbit. Sentinel 5 will monitor the atmosphere from polar orbit on board a MetOp Second Generation satellite. The Sentinel 5 precursor satellite mission is being developed to reduce data gaps between Envisat, in particular the Sciamachy instrument, and the launch of Sentinel 5. The Sentinel 5 mission will be dedicated to atmospheric monitoring. Sentinel 6 carries a radar altimeter to measure global sea-surface height, primarily for operational oceanography and for climate studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25888, 25900 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 23997, "uuid": "6aba66fd039c437bba1f6df4023c8382", "short_code": "coll", "title": "Sentinel 3A: Sea and Land Surface Temperature Radiometer (SLSTR) data", "abstract": "This dataset collection contains data from the Sea and Land Surface Temperature Radiometer (SLSTR) on the European Space Agency (ESA) Sentinel 3A satellite. Sentinel 3A was launched on 16th February 2016 and provides data globally. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature, active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user." }, { "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." }, { "ob_id": 32818, "uuid": "0bcc2457250548abb51a90f96772c374", "short_code": "coll", "title": "Sentinel 3A data", "abstract": "This dataset collection contains data products from all of the instruments on the European Space Agency (ESA) Sentinel 3A satellite. Sentinel 3A was launched on 16th February 2016.\r\n\r\nThe Sentinel 3 satellites have 3 main instruments on board: Sea and Land Surface Temperature Radiometer (SLSTR), Ocean and Land Colour Instrument (OLCI) and SAR Radar Altimeter (SRAL).\r\n\r\nData are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user." } ], "responsiblepartyinfo_set": [ 71642, 71643, 71645, 71647, 105119, 130862, 71646, 71641, 71648, 146233 ], "onlineresource_set": [ 15006, 15007, 16853, 16854, 23919, 25332 ] }, { "ob_id": 19049, "uuid": "5299a26475a946eaa3b616fd2b613844", "title": "QUEST-GSI: Run-off Analysis model data", "abstract": "This dataset represent hydrological statistics calculated over a 30‐year period, at a spatial resolution (over land) of 0.5x0.5o across the global domain. The simulations were made using the global hydrological model Mac‐PDM.09.\r\n\r\nThe data files represent runoff simulated with the baseline (1961‐1990) climate, together with runoff simulated by climate change scenarios derived from CMIP3 global climate model output (i) based on specific IPCC SRES emissions scenarios (“SRES”) and (ii) scaled to represent prescribed changes in global mean temperature (“PRESC”), and from CMIP5 global climate model output based on RCP scenarios.\r\n\r\nThe simulations were run at the University of Reading between 2009 and 2013. See Gosling & Arnell (2011)mfor a description and validation of Mac‐PDM.09, and Arnell & Gosling (2013) for details of the CMIP3 climate change scenarios and their application to the simulation of river runoff. Arnell & Lloyd‐Hughes (2013) describe the application of the model with CMIP5 scenarios.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-10-18T09:01:19", "updateFrequency": "", "dataLineage": "Data provided by Nigel Arnell (University of Reading) for archiving at the BADC.", "removedDataReason": "", "keywords": " QUEST, GSI, climate change, aquatic, run off", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-12-10T09:26:19", "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": 19050, "dataPath": "/badc/quest/data/qgsi/runoff/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9352065593, "numberOfFiles": 528, "fileFormat": "Data are CSV and ASCII formatted" }, "timePeriod": { "ob_id": 4994, "startTime": "2009-01-01T00:00:00", "endTime": "2013-12-31T23:59:59" }, "resultQuality": { "ob_id": 1268, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 19058, "uuid": "80777a7fb6fe4b419fe104caffdfc4a3", "short_code": "cmppr", "title": "Quest GSI: Runoff", "abstract": "Quest GSI: Runoff" }, "imageDetails": [ 5 ], "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": 12004, "uuid": "2adb17467921a6ad75a75dfea5d0641e", "short_code": "proj", "title": "QUEST Theme 3- Global- scale impacts of climate change (GSI)", "abstract": "QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.\r\n\r\nA central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.\r\n\r\nThe project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4950, "uuid": "c498e38730dca65ac7a0bc197c3cf7a3", "short_code": "coll", "title": "QUEST GSI (Global Scale Impacts of Climate Change): Climate, run-off and aquatic model simulations", "abstract": "QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.\r\n\r\nThis dataset collection contains model data simulations under various climate, run-off and aquatic scenarios.\r\n\r\nA central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.\r\n\r\nThe project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies." } ], "responsiblepartyinfo_set": [ 71740, 71741, 71743, 71744, 71745, 71746, 71747, 71742, 71748 ], "onlineresource_set": [ 15051, 15052 ] }, { "ob_id": 19059, "uuid": "32f731f7976045489ffeeda4794d4451", "title": "QUEST-GSI: Climate scenarios model data", "abstract": "The QUEST-GSI WPd1 \"Climate scenarios\". The aim was to construct climate scenarios representing the effects of uncertainty and different rates of climate forcing.\r\n\r\nThis dataset contains model data which construct climate scenarios.\r\n\r\nThe project requires climate scenarios which (a) characterise the uncertainty in the climate change associated with a given forcing, including changes in climate variability and extreme events, and (b) allow the construction of generalised relationships between climate forcing and impact.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:58:39", "updateFrequency": "", "dataLineage": "Data provided by Nigel Arnell (University of Reading) for archiving at the BADC.", "removedDataReason": "", "keywords": "QUEST, GSI, climate change", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-12-10T09:42:36", "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": 19060, "dataPath": "/badc/quest/data/qgsi/wp_d1_climate_scenarios", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 62763024969, "numberOfFiles": 532, "fileFormat": "Data are ASCII and and netCDF formatted" }, "timePeriod": { "ob_id": 4994, "startTime": "2009-01-01T00:00:00", "endTime": "2013-12-31T23:59:59" }, "resultQuality": { "ob_id": 1268, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 19061, "uuid": "59ca579d635e4d8db9eb5b4f49db3601", "short_code": "cmppr", "title": "Quest GSI: Climate", "abstract": "Quest GSI: Climate" }, "imageDetails": [ 5 ], "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": 12004, "uuid": "2adb17467921a6ad75a75dfea5d0641e", "short_code": "proj", "title": "QUEST Theme 3- Global- scale impacts of climate change (GSI)", "abstract": "QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.\r\n\r\nA central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.\r\n\r\nThe project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 55785, 55786, 57338, 57339, 57340, 57341, 57342, 57343, 57344, 57345, 57346, 57347 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4950, "uuid": "c498e38730dca65ac7a0bc197c3cf7a3", "short_code": "coll", "title": "QUEST GSI (Global Scale Impacts of Climate Change): Climate, run-off and aquatic model simulations", "abstract": "QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.\r\n\r\nThis dataset collection contains model data simulations under various climate, run-off and aquatic scenarios.\r\n\r\nA central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.\r\n\r\nThe project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. 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Independent carbon and vegetation data sets are being compared against DVGMs to assess their current state, and further key modules will be developed for nutrient cycling, which exerts a major feedback on carbon exchange, and for a greater resolution of plant processes. \r\n\r\nThis dataset contains Imogen output model data", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-10-06T10:11:45", "updateFrequency": "notPlanned", "dataLineage": "FAO_soil data provided by Rothamsted Research from a model developed under QUERCC with numeric data extracted from map in May 2009.", "removedDataReason": "", "keywords": "QUEST, QUERCC, carbon cycle, model, vegetation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-12-10T11:28:06", "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": 19063, "dataPath": "/badc/quest/data/quercc/imogen", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 45494354, "numberOfFiles": 341, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 567, "startTime": "2006-06-05T23:00:00", "endTime": "2009-12-09T23:59:59" }, "resultQuality": { "ob_id": 491, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19064, "uuid": "0a83a2563bda46d286a3a3a1a44abf90", "short_code": "comp", "title": "IMOGEN GCM model", "abstract": "IMOGEN GCM model" }, "procedureCompositeProcess": null, "imageDetails": [ 5 ], "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": 11995, "uuid": "30a76df0ce9eb8c2ad0d3951290f667e", "short_code": "proj", "title": "QUEST Theme 1- Quantifying ecosystem roles in the carbon cycle (QUERCC)", "abstract": "The Principal Investigator in this project was Prof Ian Woodward from University of Sheffield, with 11 co-investigators at the Centre for Ecology and Hydrology (CEH), the Forestry Commission’s Forest Research, the Agriculture and the Environment Division at Rothamsted Research, and the Universities of Aberdeen, Edinburgh, Leeds, York, Oxford and Southampton.\r\n\r\nQUERCC addressed land surface processes over timescales from days to centuries, with particular emphasis on the carbon cycle. Some processes are already well represented and validated in Dynamic Global Vegetation Models (DGVMs), while others that are known to impact on the carbon cycle are not. Independent carbon and vegetation data sets were compared against DVGMs to assess their current state, and further key modules were developed for nutrient cycling, which exerts a major feedback on carbon exchange, and for a greater resolution of plant processes. A global map of plant functional types that exert significant impacts on the carbon cycle was also developed." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 2126, "uuid": "4a3929dd9f4ddcfbd0bd36a6ebc5a3cb", "short_code": "coll", "title": "QUERCC (Quantifying ecosystem roles in the carbon cycle): Soil model output data", "abstract": "The Principal Investigator in this project was Prof Ian Woodward from University of Sheffield, with 11 co-investigators at the Centre for Ecology and Hydrology (CEH), the Forestry Commission’s Forest Research, the Agriculture and the Environment Division at Rothamsted Research, and the Universities of Aberdeen, Edinburgh, Leeds, York, Oxford and Southampton.\r\n\r\nThis dataset collection contains soil model output data.\r\n\r\nQUERCC addressed land surface processes over timescales from days to centuries, with particular emphasis on the carbon cycle. 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A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T21:46:20", "updateFrequency": "notPlanned", "dataLineage": "Data provided by Prof Tim Lenton at the University of East Anglia for archiving at the BADC.", "removedDataReason": "", "keywords": "QUEST, Quaternary, carbon dioxide, climate change, glaciation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-12-10T11:27:00", "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": 19067, "dataPath": "/badc/quest/data/quaternaryq/famous_glacial_cycle", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 167442368600, "numberOfFiles": 1085, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 4995, "startTime": "0001-01-01T00:01:15", "endTime": "2008-11-30T23:59:59" }, "resultQuality": { "ob_id": 1028, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19068, "uuid": "77c4348fc49c4fcebfa201c6185a29fa", "short_code": "comp", "title": "FAMOUS Climate model", "abstract": "FAMOUS (FAst Met Office/UK Universities Simulator) is an ocean-atmosphere general circulation model of low resolution, based on version 4.5 of the UK MetOffice Unified Model." }, "procedureCompositeProcess": null, "imageDetails": [ 5 ], "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": 12000, "uuid": "85fbfa1a967a8c658ee3bee19cdd8bb9", "short_code": "proj", "title": "QUEST Theme 2- Quaternary (Regulation of atmospheric carbon dioxide on glacial-interglacial timescales and its coupling to climate change)", "abstract": "Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA.\r\n\r\nOver the last million years, the Earth has experienced a sequence of temperature oscillations between glacial and interglacial states, linked to variations in the Earth’s orbit around the sun. These climate oscillations were accompanied by changes in atmospheric CO2, but the fundamental reasons for this relationship are still unresolved.\r\n\r\nThis project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.\r\n\r\n " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4096, "uuid": "33a39f647824bbd542c4ce9b88c9e9fd", "short_code": "coll", "title": "QUEST Quaternary: Marine isotope and glacial cycle model data (150,000 years ago to present)", "abstract": "Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA.\r\n\r\nThis dataset collection contains glacial and isotope model data.\r\n\r\nOver the last million years, the Earth has experienced a sequence of temperature oscillations between glacial and interglacial states, linked to variations in the Earth’s orbit around the sun. These climate oscillations were accompanied by changes in atmospheric CO2, but the fundamental reasons for this relationship are still unresolved.\r\n\r\nThis project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST narrowed the field of ocean processes that could have caused glacial CO2 drawdown.\r\n\r\n " } ], "responsiblepartyinfo_set": [ 71768, 71769, 71771, 71772, 71773, 71774, 71775, 71770 ], "onlineresource_set": [ 15063, 15064 ] }, { "ob_id": 19070, "uuid": "7d70c31066854487aca1f874c7c81230", "title": "QESDI: Soil data generated from ISLSCP II", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset contains soil data generated from ISLSCP II.\r\n\r\nThe International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:01:56", "updateFrequency": "", "dataLineage": "Dara generated from ISLSCP II soil data", "removedDataReason": "", "keywords": "QUEST, QESDI, ISLSCP II, soil", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-08-25T10:21:47", "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": 19071, "dataPath": "/badc/quest/data/qesdi/soil/islscp2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9348164, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 4999, "startTime": "1986-01-01T00:00:00", "endTime": "1995-12-31T23:59:59" }, "resultQuality": { "ob_id": 1780, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 13238, "uuid": "2b6275fc8ec244f6a84da6c98f876eb6", "short_code": "cmppr", "title": "Composite Process for: Part of the ISLSCP II project: Hydrology and Soil", "abstract": "Composite Process for: Part of the ISLSCP II project: Hydrology and Soil" }, "imageDetails": [ 5 ], "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": 6747, "uuid": "6ae6e6ad2cae120358f5fd111d6496af", "short_code": "proj", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.\r\n\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50512, 51157, 51158, 59292, 59293, 59294, 59295, 59296, 59297, 59298, 59299, 59300, 59301, 59302, 59303, 59304, 59305, 59306, 59307, 59308 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 6742, "uuid": "50d3bcfabff933e00e707f219723f3ad", "short_code": "coll", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset collection contains climatology, soil. population, ecosystem and land cover data.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets." } ], "responsiblepartyinfo_set": [ 71783, 71784, 71786, 71787, 71788, 71789, 71790, 71785 ], "onlineresource_set": [] }, { "ob_id": 19074, "uuid": "d5a932ade41b447b8ee92f45b862fdbc", "title": "QESDI: Monthly climatology measurements for 1961-1990", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. 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stratospheric aerosols are observed with GOMOS (and tested for SCIAMACHY)." }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. 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. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. 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": [ 71928, 71929, 71931, 75201, 104913, 105129, 105307, 71933, 71932, 71930 ], "onlineresource_set": [ 15116, 15119, 15114, 15115, 15886, 16482, 15117, 15118 ] } ] }