Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=2700
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=2800", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=2600", "results": [ { "ob_id": 16041, "uuid": "503cc928edcc4f479aed3b0fd1ba837a", "title": "FAAM B669 PIKNMIX flight, number 5: 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 during flight 5 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": "2019-12-06T23:03:49", "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": "PIKNMIX, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:13.429648", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1088, "bboxName": "", "eastBoundLongitude": -3.7792515754699707, "westBoundLongitude": -9.468701362609863, "southBoundLatitude": 55.39892578125, "northBoundLatitude": 59.70421600341797 }, "verticalExtent": null, "result_field": { "ob_id": 16040, "dataPath": "/badc/faam/data/2012/b669-jan-24", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2335814024, "numberOfFiles": 48, "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": 4190, "startTime": "2012-01-24T08:24:22", "endTime": "2012-01-24T16:03:39" }, "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": 16042, "uuid": "b397a45bc2f44977b5f6a46018cef2cd", "short_code": "acq", "title": "FAAM Flight B669 Acquisition", "abstract": "FAAM Flight B669 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": [ 50842, 50851, 50853, 50857, 50858, 50860, 50863, 50866, 50868, 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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": [ 61771, 61770, 61769, 61774, 61775, 61776, 61777, 61778, 61772, 61773 ], "onlineresource_set": [ 10793, 10790, 10791, 10792 ] }, { "ob_id": 16045, "uuid": "fdbed0fbf9984642ae8199db85215514", "title": "FAAM B918 Oil and Gas 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 NCAS general FAAM flying (SeptEx, Winter 2010) (Oil and Gas) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2018-03-26T16:47:03.467241", "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": "Oil and Gas, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-07-25T07:15:09.688755", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1089, "bboxName": "", "eastBoundLongitude": 1.7581838369369507, "westBoundLongitude": -2.315974235534668, "southBoundLatitude": 52.03694152832031, "northBoundLatitude": 58.14102554321289 }, "verticalExtent": null, "result_field": { "ob_id": 16044, "dataPath": "/badc/faam/data/2015/b918-jul-23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5062738680, "numberOfFiles": 40, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. 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Many of the NCAS teams familiar with the aircraft are participating.\r\n\r\n " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 3220, 3221, 3222, 3223, 3224, 3225, 3226, 3227, 3228, 3229, 3230, 3231, 3232, 3233, 3234, 3235, 3236, 3237, 3238, 3239, 3240, 3241, 3242, 3243, 3244, 3245, 3246, 3247, 3248, 3249, 3250, 3251, 3252, 3253, 3254, 3255, 3256, 3257, 3258, 3259, 3260, 3261, 3262, 3263, 3264, 3265, 3266, 3267, 3268, 3269, 3270, 3271, 3272, 3273, 3274, 3275, 3276, 3277, 3278, 3279, 3280, 3281, 3282, 3283, 3284, 3285, 3286, 3287, 3288, 3289, 3290, 3291, 3292, 3293, 3294, 3295, 3307, 3315, 3316, 3317, 3318, 3319, 3320, 3321, 3322, 3323, 3324, 3325, 3326, 3327, 3328, 3329, 3330, 3331, 3332, 3333, 3334, 3335, 3336, 3337, 3338, 3339, 3340, 3341, 3342, 3343, 3344, 3345, 14474, 14836, 14837, 14838, 14839, 14840, 14841, 14842, 14843, 14845, 14846, 14847, 14848, 14849, 14850, 14851, 14853, 14855, 14857, 14916, 14917, 14919, 14921, 14924, 14926, 14927, 14928, 14931, 14942, 14946, 14947, 15040, 15041, 15047, 15048, 15161, 15163, 15166, 15167, 15168, 15169, 15170, 15171, 15172, 15173, 15174, 15175, 15176, 15177, 15178, 15179, 15180, 15182, 15183, 15185, 15186, 15188, 15189, 15192, 15193, 15194, 15195, 15196, 15197, 15198, 15200, 15203, 15204, 15208, 15210, 15211, 15212, 15213, 15220, 15223, 15271, 15272, 15274, 15279, 15282, 15283, 15288, 15289, 15291, 15324, 15325, 15327, 15329, 15331, 15332, 15333, 15334, 15335, 15336, 15338, 15339, 15340, 15341, 15342, 15343, 15344, 15345, 15346, 15347, 15348, 15349, 15350, 15355, 15356, 15376, 15793, 15794, 15797, 15798, 15799, 15800, 15801, 15804, 15805, 15806, 15807, 15808, 15809, 15810, 15811, 15814, 15815, 15818, 15819, 15820, 15821, 15822, 15823, 15824, 15825, 15827, 15828, 15829, 15830, 15831, 15832, 15833, 15834, 15835, 15836, 15837, 15838, 15839, 15840 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 15135, "uuid": "dec3e7638e7e491699480a5175fd56a5", "short_code": "coll", "title": "SeptEx: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for NCAS general FAAM flying (SeptEx, Winter 2010)." }, { "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": [ 61783, 61784, 61785, 61788, 61789, 61790, 61791, 61792, 61786, 61787 ], "onlineresource_set": [ 10796, 10795 ] }, { "ob_id": 16049, "uuid": "cc6658a3c2f64d32832040984194dd2f", "title": "FAAM B919 ICE-D 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 The UK Ice in Clouds Experiment -- Dust (UK ICE-D) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T23:05:21", "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": "ICE-D, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-16T09:27:51.128986", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1090, "bboxName": "", "eastBoundLongitude": -21.238618850708008, "westBoundLongitude": -25.161222457885742, "southBoundLatitude": 13.741750717163086, "northBoundLatitude": 15.529715538024902 }, "verticalExtent": null, "result_field": { "ob_id": 16048, "dataPath": "/badc/faam/data/2015/b919-aug-06", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3569626362, "numberOfFiles": 43, "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": 4192, "startTime": "2015-08-06T08:30:31", "endTime": "2015-08-06T16:16:24" }, "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": 16050, "uuid": "184df61a5b45486082feed84db73ce95", "short_code": "acq", "title": "FAAM Flight B919 Acquisition", "abstract": "FAAM Flight B919 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": 12454, "uuid": "b0348ba21b784ae783201200213d02f4", "short_code": "proj", "title": "The UK Ice in Clouds Experiment -- Dust (UK ICE-D)", "abstract": "The UK ICE-D project was funded by the Natural Environement Research Council (NERC) with the grant references: NE/M00340X/1 and NE/M001954/1. These were led by Professor Alan Blyth (University of Leeds) and Professor Thomas William Choularton (The University of Manchester)\r\n\r\nThe goal of this research was to determine how desert dust affects the nucleation of ice particles in convective and layer clouds and the subsequent development of precipitation and glaciation of the clouds. Dust is believed to be a critical aerosol particle in the Earth system mainly because the dust particles themselves, and particles that are chemically and possibly biologically modified as they are transported from their source, are believed to be the most important ice nuclei in a global sense and because dust particles are transported to many parts of the globe. Predicting the initiation and subsequent evolution of the size distribution of ice particles in clouds from a distribution of aerosol particles is one of the most important problems in atmospheric science. It is fundamental to the NERC high-level strategy objective ``Understand and predict how our planet works'', because the lack of understanding of the processes causes uncertainty in the way global models treat the interaction of radiation with ice and mixed-phase clouds and the development of precipitation. They also cause uncertainty in Numerical Weather Prediction (NWP) models, which is concerned with the NERC strategy objective ``Resilience to environmental hazards''. The proposed research aims was to tackle this problem by making measurements of aerosols and cloud particles close to one of the largest sources of desert dust in the world. The measurements are difficult to make, which is why such detailed measurements have never been made in this region before. It is possible to do this now because the instruments are capable of determining the chemical and physical properties of aerosol particles, the aircraft cloud physics instruments can detect small ice particles, and there is a mobile dual-polarisation radar. \r\n\r\nThe UK Ice in Clouds Experiment -- Dust (UK ICE-D) was part of the US-UK aircraft and ground-based project based in Cape Verde off the coast of Senegal, Africa to be held in 2015 (mainly UK) and 2016 (mainly US). Measurements will be made in the environment around the clouds to characterise the aerosol particles and their ability to act as ice nuclei and cloud condensation nuclei, and within the clouds to determine the influence of the particles on the cloud properties. Convective clouds will be measured as a priority, but layer clouds will also be targeted. Observations will be made when dust is present in high concentrations at appropriate altitudes and when almost no dust is present. The availability of the US and UK aircraft has inadvertently provided a unique opportunity to maximise the sampling statistics of the clouds. The location and time was selected from climatology studies because dust concentrations are often large and convective and layer clouds also occur frequently. In addition, the convective clouds in the region are known to be important since they can form clusters that lead to storms and hurricanes in the Tropical Atlantic.\r\n\r\nSpecifically, UK ICE-D made measurements on days with and without the presence of dust of the following:\r\n* Aerosol particles on the ground with the instruments in the aerosol container at Cape Verde and with the BAe 146 aircraft;\r\n* Cloud droplets, supercooled raindrops, the first ice particles and development of ice and precipitation particles with the aircraft;\r\n* The altitudes of the supercooled raindrops, the location and time of the first precipitation echoes, and the radial air motions using the radar;\r\n* The thermodynamics and dynamics of the clouds and their environment with the aircraft and to some extent the radar.\r\n\r\nModel results were compared with the observations of the initiation temperatures and rates of growth and development. A spectrum of models ranging from climate through regional forecast models to explicit cloud physics process-based models, will be used as forecasting tools and as tools to interpret the data and to develop or\r\n\r\nObjectives: \r\n1. Characterise the chemical and physical properties of aerosol particles and determine the activation properties of CCN and IN.\r\n\r\n2. Given an initial well-characterised aerosol distribution, can we predict the number concentration of ice particles that will be produced in the clouds through primary nucleation? Specifically, determine if primary ice particles first form as a result of freezing of supercooled raindrops. \r\n\r\n3. Determine the physical processes responsible for the production of warm rain and the rates of growth. E.g. is the process dependent on entrainment and mixing or determined by straightforward autoconversion or by giant CCN.\r\n\r\n4. Determine whether the HM secondary ice formation process is critical to the glaciation of the convective clouds and if so (likely) the effect of dust on the process. \r\n\r\n5. Determine the influence of dust on the physical properties of the convective and layer clouds (e.g.\\ dynamics, entrainment, liquid water content distribution, development of precipitation) and if the effects can be represented with models of all scales.\r\n\r\n6. Use the new observations to test and improve the ability of regional NWP, global NWP and climate models to accurately simulate the properties of clouds and their environment. 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Each mission will aim to conduct a series of deep vertical profiles in the region between southern Finland and Svalbard. The profiles will extend into the stratosphere at the northern end of the sectors. Up to 5 missions will be conducted, covering the period from early spring when Arctic haze remains prevalent, through to late summer when Arctic wetland thaw is at its maximum. Each mission, lasting 3 days, will include measurements of in situ methane and nitrous oxide concentrations using a combination of cavity ring down (CRDS), continuous wave quantum cascade laser absorption spectrometer (CW-QCLAS) instruments and whole air samples for post analysis by colleagues at RHUL and UEA.\r\nIn collaboration with the UK Met Office we will use high altitude flights to measure atmospheric methane columns using the ARIES radiometer. These can be directly compared with those derived by IASI/SCIAMACHY satellite column measurements and validated by the situ measured methane profiles.\r\nSource studies of changing isotopic signature will be carried out to investigate advected sources from Scandinavia and Russia\r\nFlask sampling will be carried out on airborne campaigns for isotopic analysis of CO2 and CH4\r\nProcess studies of CH4, CO2 and N2O using eddy covariance and chambers over contrasting sites will be made within the flight path of aircraft missions. 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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": 15846, "uuid": "2ff89840a89840868acff801f8859451", "short_code": "coll", "title": "SAMBBA: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for South AMerican Biomass Burning Analysis (SAMBBA).\r\n\r\nSAMBBA project - a UK-Brasil Consortium funded by NERC. Biomass burning aerosols have a significant influence on climate – both directly as they scatter and absorb solar radiation – and indirectly as they influence cloud optical properties and lifetime through their ability to act as sites for cloud droplet formation. Biomass burning aerosols are a complex mixture of black carbon, organic carbon, and inorganic compounds, and are thus difficult to model accurately. While parameterisations have been developed in the climate version of the UM (e.g. HADGEM-2) that enable reasonable representation of the aerosol optical depth, significant uncertainties still exists in accurately determining the aerosol absorption (via the single scattering albedo) and the subsequent effects on radiation. These radiative effects have a significant impact on climate, which needs to be quantified over key regions such as Amazonia. Furthermore, BB aerosols have a direct impact on the performance of numerical weather prediction models. The effects of biomass burning aerosol upon cloud microphysical and optical properties play a significant role in assessing the radiative influence of clouds. These are also processes that are poorly quantified and hence provide fundamental uncertainties in weather forecasts and climate change scenarios. To improve quantification of these uncertainties, the microphysical and chemical properties of biomass burning aerosol and its precursors need to be determined yet these remain uncertain and are known to be modified during their lifetime in the atmosphere. Furthermore, it is important to assess the background state of the atmosphere in the region to understand the influence such large anthropogenic perturbations are having on the region. However, aerosol particles in the natural tropical atmosphere remain poorly understood.\r\n\r\nThe aim of the SAMBBA project was to investigate the properties of biomass burning aerosols over South America. The main biomass burning season occurs during Sept/Oct when deforestation fires and agricultural burning are prolific, particularly over central and south eastern parts of Brazil. These contribute to high loadings of biomass burning aerosol over much of South America with aerosol optical depths frequently exceeding 1 in many central parts of the continent. SAMBBA was a consortium of 7 university groups, the UK Met Office and a number of Brazilian partners, which delivered a suite of ground, aircraft and satellite measurements of Amazonian BBA and use this data to:\r\n\r\n-improve our knowledge of BB emissions;\r\n-challenge and improve the latest aerosol process models;\r\n-challenge and improve satellite retrievals;\r\n-test predictions of aerosol influences on regional climate and weather over Amazonia and the surrounding regions made using the next generation of climate and NWP models with extensive prognostic aerosol schemes; and\r\n-assess the impact of biomass burning on the Amazonian biosphere." } ], "responsiblepartyinfo_set": [ 62021, 62022, 62023, 62026, 62027, 62028, 62029, 62030, 62024, 62025 ], "onlineresource_set": [ 10901, 10899, 10900 ] }, { "ob_id": 16137, "uuid": "a2305f099b6b4220b7d5c8b1e4bc83ec", "title": "FAAM B690 NCAS flight, number 3: 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 during flight 3 for NCAS general FAAM flying (SeptEx, Winter 2010) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:00:05", "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": "NCAS, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:13.538704", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1112, "bboxName": "", "eastBoundLongitude": 2.361813545227051, "westBoundLongitude": -1.1511443853378296, "southBoundLatitude": 52.053672790527344, "northBoundLatitude": 57.431671142578125 }, "verticalExtent": null, "result_field": { "ob_id": 16136, "dataPath": "/badc/faam/data/2012/b690-apr-17", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4073425647, "numberOfFiles": 42, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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The campaign made use of instruments on board the FAAM BAe-146 aircraft to determine the strength and temperature dependence." } ], "responsiblepartyinfo_set": [ 62063, 62064, 62065, 62068, 62069, 62070, 62071, 62072, 62066, 62067 ], "onlineresource_set": [ 10920, 10917, 10918, 10919 ] }, { "ob_id": 16150, "uuid": "8808a300bc794335b4f05045e5e3ec2a", "title": "FAAM B404 ADIENT and CAVIAR 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 ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Program and Continuum Absorption in the Visible and Infrared and its Atmospheric Relevance (CAVIAR).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T22:49:04", "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": "ADIENT, CAVIAR, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:12.118233", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1115, "bboxName": "", "eastBoundLongitude": -0.3114575147628784, "westBoundLongitude": -6.053266525268555, "southBoundLatitude": 49.78175354003906, "northBoundLatitude": 52.380165100097656 }, "verticalExtent": null, "result_field": { "ob_id": 16149, "dataPath": "/badc/faam/data/2008/b404-sep-23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3833135196, "numberOfFiles": 50, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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The CAVIAR campaign will use instruments on board the FAAM BAe-146 aircraft to determine the strength and temperature dependence of the water vapour continuum over a range of wavelengths. In doing so, the aim is to determine whether water vapour dimers, or the far wings of monomer lines, or a combination of both, are responsible for the continuum absorption, and put the continuum on a more secure theoretical footing." }, { "ob_id": 6521, "uuid": "88c0f40600399ec1bd84a52277ee7fe2", "short_code": "proj", "title": "APPRIASE - ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project", "abstract": "The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aims to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales. The aim of the aircraft work is to provide quality controlled in-situ measurements for the ADIENT project concerning UK and EU anthropogenic aerosol composition, microphysics and radiative properties and radiative impact.\r\n\r\nThe ADIENT project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nRelated FAAM BAE-146 flights:\r\n\r\nManchester: Aerosol Mass Spectrometer : b333, b334, b335, b355, b356, b357, b362,b363, b364,b365, b366, b367, b368, b369, b370, b371, b372, b373, b374, b379, b380, b401,b402,b406 \r\n\r\nManchester:Single Particle Soot Photometer : b355, b356, b357.\r\n\r\nData have also been collected for the project by the Advanced Along Track Scanning Radiometer (AATSR)on the Envisat satellite, and by the Along Track Scanning Radiometer, Version 2 (ATSR 2) on the European Remote Sensing satellite 2 (ERS-2)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50842, 50851, 50853, 50857, 50876, 50878, 50891, 50928, 50932, 50933, 50937, 50952, 50965, 51221, 51229, 51230, 51231, 51269, 51273, 51274, 51275, 51277, 51281, 51282, 51288, 51289, 51293, 51302, 51303, 51304, 51305, 51306, 51307, 51308, 51316, 51317, 51318, 51319, 51320, 51321, 51322, 51323, 51324, 51325, 51326, 51327, 51328, 51329, 51330, 51331, 51332, 51333, 51334, 51335, 51336, 51337, 51338, 51339, 51340, 51341, 51342, 51343, 51344, 51345, 51346, 51347, 51348, 51349, 51350, 51351, 51352, 51353, 51354, 51355, 51356, 51357, 51358, 51359, 51360, 51361, 51362, 51363, 51364, 51365, 51366, 51367, 51368, 51369, 51370, 51371, 51372, 51373, 51374, 51375, 51376, 51377, 51378, 51379, 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, 51412, 51413, 51414, 51415, 51416, 51417, 51418, 51419, 51420, 51421, 51422, 51423, 51424, 51425, 51426, 51427, 51428, 51429, 51430, 51431, 51432, 51433, 51434, 51435, 51436, 51437, 51438, 51439, 51440, 51441, 51442, 51443, 51444, 51445, 51447, 51448, 51449, 51450, 51451, 51452, 51453, 51454, 51455, 51456, 51457, 51458, 51459, 51460, 51461, 51462, 51463, 51465, 51466, 51468, 51469, 51470, 51471, 51472, 51473, 51474, 51475, 51476, 51477, 51478, 51479, 51480, 51481, 51482, 51483, 51484, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51511, 51514, 51516, 51517, 51518, 51520, 51521, 51525, 51526, 51527, 51528, 51529, 51532, 51533, 51534, 51537, 51538, 51539, 51543, 51544, 51546, 51548, 51551, 51552, 51553, 51568, 51569, 53542, 53543, 53546, 53547, 53548, 53549, 53671, 53675, 53676, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53742, 53744, 53745, 53746, 57942, 65830, 65831, 65832, 65833, 65834, 65835, 65836, 65837, 65838, 65839, 65840, 65841, 65842, 65843, 65844, 65845, 65846, 65850, 65851, 65852, 65853, 65854, 65858, 65860, 65861, 65862, 65863, 65867, 65869, 65877, 65883, 65888, 65889, 65892, 65893, 65938, 65939, 65948, 65949, 65950, 65951, 65953, 65954, 65955, 65956, 65959, 65962, 74534, 74535, 74536, 74537, 74538, 74539, 74540, 74541, 74542, 74543, 74544, 74545, 74546, 74547, 74548, 74549, 74550, 74551, 74552, 74553, 82828 ], "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. Raw data are retained for longterm preservation but are not intended for general use." }, { "ob_id": 2798, "uuid": "6278b0a406d541ec7c2fb04654f37386", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) Aircraft Data for the Continuum Absorption in the Visible and Infrared and its Atmospheric Relevance (CAVIAR) project", "abstract": "The Continuum Absorption in the Visible and Infrared and its Atmospheric Relevance (CAVIAR) campaign will use instruments on board the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft to determine the strength and temperature dependence of the water vapour continuum over a range of wavelengths. In doing so, the aim is to determine whether water vapour dimers, or the far wings of monomer lines, or a combination of both, are responsible for the continuum absorption, and put the continuum on a more secure theoretical footing." }, { "ob_id": 12228, "uuid": "0cb1fdfbf52140b2b2177b0dc52ebca0", "short_code": "coll", "title": "APPRAISE ADIENT: Atmospheric FAAM and GlobAEROSOL data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. \r\n\r\nA primary task of the Oxford team in the ADIENT project was to provide satellite data in support of ADIENT FAAM aircraft measurement campaigns. This encompassed both aiding flight planning by providing information on where and when satellite overpasses occurred, and providing easily digestible aerosol fields from satellite sensors at near-real-time. \r\n\r\nGlobAEROSOL was an ESA Data User Element project aimed at providing a 10 year aerosol climatology from European satellite radiometers. The project is made use of the ATSR\r\n2 instrument (on board ERS2), AATSR and MERIS (on board Envisat), and SEVIRI (on\r\nboard Meteosat8).\r\n\r\nThis data collection includes selected data from ATSR2 and AATSR as well as FAAM Flights data." } ], "responsiblepartyinfo_set": [ 62079, 62080, 62081, 62084, 62085, 62086, 62087, 62088, 62082, 62083 ], "onlineresource_set": [ 10927, 10924, 10925, 10926 ] }, { "ob_id": 16154, "uuid": "57b0416611f44ee0a4da76f03f111aa1", "title": "FAAM B405 VACAR and VISURB 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 Variational Assimilation of Cloud Affected Radiances (VACAR) and URBan VISibility in UK projects.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-04-30T10:13:53", "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": "VACAR, VISURB, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:12.123168", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1116, "bboxName": "", "eastBoundLongitude": 1.8438491821289062, "westBoundLongitude": -1.3035340309143066, "southBoundLatitude": 52.0653076171875, "northBoundLatitude": 56.23738098144531 }, "verticalExtent": null, "result_field": { "ob_id": 16153, "dataPath": "/badc/faam/data/2008/b405-sep-24", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5628644202, "numberOfFiles": 56, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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Flights on the FAAM BAe-146 aircraft upwind and downwind of major urban aerosols sources were flown to characterize the aerosol and compare distributions with Mesoscale model." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50842, 50851, 50853, 50857, 50876, 50878, 50891, 50928, 50932, 50933, 50937, 50952, 50965, 51221, 51229, 51230, 51231, 51269, 51273, 51274, 51275, 51277, 51281, 51282, 51288, 51289, 51293, 51302, 51303, 51304, 51305, 51306, 51307, 51308, 51316, 51317, 51318, 51319, 51320, 51321, 51322, 51323, 51324, 51325, 51326, 51327, 51328, 51329, 51330, 51331, 51332, 51333, 51334, 51335, 51336, 51337, 51338, 51339, 51340, 51341, 51342, 51343, 51344, 51345, 51346, 51347, 51348, 51349, 51350, 51351, 51352, 51353, 51354, 51355, 51356, 51357, 51358, 51359, 51360, 51361, 51362, 51363, 51364, 51365, 51366, 51367, 51368, 51369, 51370, 51371, 51372, 51373, 51374, 51375, 51376, 51377, 51378, 51379, 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, 51412, 51413, 51414, 51415, 51416, 51417, 51418, 51419, 51420, 51421, 51422, 51423, 51424, 51425, 51426, 51427, 51428, 51429, 51430, 51431, 51432, 51433, 51434, 51435, 51436, 51437, 51438, 51439, 51440, 51441, 51442, 51443, 51444, 51445, 51447, 51448, 51449, 51450, 51451, 51452, 51453, 51454, 51455, 51456, 51457, 51458, 51459, 51460, 51461, 51462, 51463, 51465, 51466, 51468, 51469, 51470, 51471, 51472, 51473, 51474, 51475, 51476, 51477, 51478, 51479, 51480, 51481, 51482, 51483, 51484, 51492, 51493, 51494, 51495, 51496, 51497, 51498, 51499, 51500, 51501, 51502, 51503, 51504, 51505, 51506, 51507, 51511, 51514, 51516, 51517, 51518, 51520, 51521, 51525, 51526, 51527, 51528, 51529, 51532, 51533, 51534, 51537, 51538, 51539, 51543, 51544, 51546, 51548, 51551, 51552, 51553, 51568, 51569, 53513, 53514, 53515, 53516, 53517, 53518, 53519, 53520, 53521, 53522, 53523, 53524, 53525, 53526, 53527, 53528, 53529, 53530, 53531, 53532, 53533, 53534, 53535, 53536, 53537, 53538, 53539, 53542, 53543, 53546, 53547, 53548, 53549, 53671, 53675, 53676, 53710, 53711, 53712, 53713, 53714, 53715, 53716, 53717, 53742, 53744, 53745, 53746, 57942, 65830, 65831, 65832, 65833, 65834, 65835, 65836, 65837, 65838, 65839, 65840, 65841, 65842, 65843, 65844, 65845, 65846, 65850, 65851, 65852, 65853, 65854, 65858, 65860, 65861, 65862, 65863, 65867, 65869, 65877, 65883, 65888, 65889, 65892, 65893, 65938, 65939, 65948, 65949, 65950, 65951, 65953, 65954, 65955, 65956, 65959, 65962, 71785, 74534, 74535, 74536, 74537, 74538, 74539, 74540, 74541, 74542, 74543, 74544, 74545, 74546, 74547, 74548, 74549, 74550, 74551, 74552, 74553 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 16155, "uuid": "702f8b568911473c8800a6d5d48475d2", "short_code": "coll", "title": "VISURB: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for URBan VISibility in UK (VISURB)." }, { "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 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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These were led by Professor Alan Blyth (University of Leeds) and Professor Thomas William Choularton (The University of Manchester)\r\n\r\nThe goal of this research was to determine how desert dust affects the nucleation of ice particles in convective and layer clouds and the subsequent development of precipitation and glaciation of the clouds. Dust is believed to be a critical aerosol particle in the Earth system mainly because the dust particles themselves, and particles that are chemically and possibly biologically modified as they are transported from their source, are believed to be the most important ice nuclei in a global sense and because dust particles are transported to many parts of the globe. Predicting the initiation and subsequent evolution of the size distribution of ice particles in clouds from a distribution of aerosol particles is one of the most important problems in atmospheric science. It is fundamental to the NERC high-level strategy objective ``Understand and predict how our planet works'', because the lack of understanding of the processes causes uncertainty in the way global models treat the interaction of radiation with ice and mixed-phase clouds and the development of precipitation. They also cause uncertainty in Numerical Weather Prediction (NWP) models, which is concerned with the NERC strategy objective ``Resilience to environmental hazards''. The proposed research aims was to tackle this problem by making measurements of aerosols and cloud particles close to one of the largest sources of desert dust in the world. The measurements are difficult to make, which is why such detailed measurements have never been made in this region before. It is possible to do this now because the instruments are capable of determining the chemical and physical properties of aerosol particles, the aircraft cloud physics instruments can detect small ice particles, and there is a mobile dual-polarisation radar. \r\n\r\nThe UK Ice in Clouds Experiment -- Dust (UK ICE-D) was part of the US-UK aircraft and ground-based project based in Cape Verde off the coast of Senegal, Africa to be held in 2015 (mainly UK) and 2016 (mainly US). Measurements will be made in the environment around the clouds to characterise the aerosol particles and their ability to act as ice nuclei and cloud condensation nuclei, and within the clouds to determine the influence of the particles on the cloud properties. Convective clouds will be measured as a priority, but layer clouds will also be targeted. Observations will be made when dust is present in high concentrations at appropriate altitudes and when almost no dust is present. The availability of the US and UK aircraft has inadvertently provided a unique opportunity to maximise the sampling statistics of the clouds. The location and time was selected from climatology studies because dust concentrations are often large and convective and layer clouds also occur frequently. In addition, the convective clouds in the region are known to be important since they can form clusters that lead to storms and hurricanes in the Tropical Atlantic.\r\n\r\nSpecifically, UK ICE-D made measurements on days with and without the presence of dust of the following:\r\n* Aerosol particles on the ground with the instruments in the aerosol container at Cape Verde and with the BAe 146 aircraft;\r\n* Cloud droplets, supercooled raindrops, the first ice particles and development of ice and precipitation particles with the aircraft;\r\n* The altitudes of the supercooled raindrops, the location and time of the first precipitation echoes, and the radial air motions using the radar;\r\n* The thermodynamics and dynamics of the clouds and their environment with the aircraft and to some extent the radar.\r\n\r\nModel results were compared with the observations of the initiation temperatures and rates of growth and development. A spectrum of models ranging from climate through regional forecast models to explicit cloud physics process-based models, will be used as forecasting tools and as tools to interpret the data and to develop or\r\n\r\nObjectives: \r\n1. Characterise the chemical and physical properties of aerosol particles and determine the activation properties of CCN and IN.\r\n\r\n2. Given an initial well-characterised aerosol distribution, can we predict the number concentration of ice particles that will be produced in the clouds through primary nucleation? Specifically, determine if primary ice particles first form as a result of freezing of supercooled raindrops. \r\n\r\n3. Determine the physical processes responsible for the production of warm rain and the rates of growth. E.g. is the process dependent on entrainment and mixing or determined by straightforward autoconversion or by giant CCN.\r\n\r\n4. Determine whether the HM secondary ice formation process is critical to the glaciation of the convective clouds and if so (likely) the effect of dust on the process. \r\n\r\n5. Determine the influence of dust on the physical properties of the convective and layer clouds (e.g.\\ dynamics, entrainment, liquid water content distribution, development of precipitation) and if the effects can be represented with models of all scales.\r\n\r\n6. Use the new observations to test and improve the ability of regional NWP, global NWP and climate models to accurately simulate the properties of clouds and their environment. 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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 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": 13600, "uuid": "726ce54c74a0479a965a9231744c3eae", "short_code": "coll", "title": "UK SOLAS Dust Outflow and Deposition to the Ocean (DODO) FAAM Aircraft campaign", "abstract": "The UK SOLAS Dust Outflow and Deposition to the Ocean (DODO) project aimed at quantifying the chemical and microphysical properties of Saharan dust in the tropical Atlantic region.\r\n\r\nCase studies were conducted using in situ measurements made by the FAAM BAe-146 aircraft to predict dust deposition to the northern hemisphere Atlantic Ocean. These studies aimed at describing how changing chemical and physical properties in the dust affect its long range transport and also assessed the radiative impact of the dust and its effect on sea surface temperatures in nutrient rich waters of the Atlantic Ocean. The dust sources were fingerprinted using single particle characterisation and by assessing their main composition. The climatological representativeness of the studies will be assessed and used to predict the seasonal footprint of dust deposition to the north Atlantic Ocean. \r\n\r\nTwo aircraft campaigns using the Facility for Airborne Atmospheric Measurements (FAAM) aircraft were conducted:\r\n\r\n- DODO 1 in association with the DABEX campaign from Dakar in Jan-Feb. 2006 \r\n- DODO2 in association with the AMMA campaign from Dakar in Sep-Oct. 2006.\r\n\r\nMeasurements have included Chemical composition, microphysics and optical properties of aerosols, Radiative fluxes, Trace gas chemistry.\r\n" } ], "responsiblepartyinfo_set": [ 62287, 62288, 62289, 62292, 62293, 62294, 62295, 62296, 62290, 62291 ], "onlineresource_set": [ 11023, 11020, 11021, 11022 ] }, { "ob_id": 16232, "uuid": "03a70c044b4f4f618c31f0043d379712", "title": "FAAM B168 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": "2024-09-11T13:13:18", "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": "2014-07-14T13:38:10.966998", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4231, "bboxName": "", "eastBoundLongitude": 2.1757202, "westBoundLongitude": -18.018616, "southBoundLatitude": 12.495392, "northBoundLatitude": 17.796082 }, "verticalExtent": null, "result_field": { "ob_id": 16231, "dataPath": "/badc/faam/data/2006/b168-feb-03", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 221556165, "numberOfFiles": 28, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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The interaction of dust and biomass over this region has not yet been well-established. Flights of the FAAM BAE-146 in conjunction with surface based sun-photometers determined the accuracy of the retrieval algorithms in terms of the aerosol optical depth, size distribution, and refractive indices. The GERB and SEVERI instruments onboard the geostationary MSG satellite platform have also been used to monitoring the evolution of the dust and biomass plumes." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50834, 51679, 51680, 51745, 51746, 51747, 51748, 51749, 51750, 51751, 51752, 51753, 51754, 51755, 51756, 51757, 51758, 51759, 51760, 51761, 51762, 51763, 51764, 51765, 51766, 51767, 51768, 51769, 51770, 51771, 51772, 51773, 51774, 51775, 51776, 51777, 51778, 51779, 51780, 51781, 51782, 51783, 51784, 51785, 51786, 51787, 51788, 51789, 51790, 51791, 51792, 51793, 51794, 51795, 51796, 51797, 51798, 51799, 51800, 51801, 51802, 51803, 51804, 51805, 51806, 51807, 51808, 51809, 51810, 51811, 51812, 51813, 51814, 51815, 51816, 51817, 51818, 51819, 51820, 51821, 51822, 51823, 51824, 51825, 51826, 51827, 51828, 51829, 51830, 51831, 51832, 51833, 51834, 51835, 51836, 51837, 51838, 51839, 51840, 51841, 51842, 51843, 51844, 51845, 51846, 51847, 51848, 51849, 51850, 51851, 51852, 51853, 51854, 51855, 51856, 51857, 51858, 51859, 51860, 51861, 51862, 51863, 51864, 51865, 51866, 51867, 51868, 51869, 51870, 51871, 51872, 51873, 51874, 51875, 51876, 51877, 51878, 51879, 51880, 51881, 51882, 51883, 51884, 51885, 51886, 51887, 51888, 51889, 51890, 51891, 51892, 51893, 51894, 51895, 51896, 51897, 51898, 51899, 51900, 51901, 51902, 51903, 51904, 51905, 51906, 51907, 51908, 51909, 51910, 51911, 51912, 51913, 51914, 51915, 51916, 51917, 51918, 51919, 51920, 51921, 51922, 51923, 51924, 51926, 51927, 51928, 51929, 51930, 51931, 51932, 51933, 51935, 51936, 51937, 51938, 51939, 51940, 51941, 51942, 51943, 51944, 51945, 51946, 51947, 51948, 51949, 51950, 51951, 51952, 51953, 51954, 51955, 51956, 51957, 51958, 51959, 51960, 51961, 51962, 51963, 51964, 51965, 51966, 51968, 51969, 51970, 51971, 51972, 51973, 51974, 51975, 51976, 51977, 51978, 51979, 51980, 52116, 52117, 52118, 52119, 52120, 52121, 52128, 52167, 52168, 52214, 52353, 53331, 53332, 53333, 53334, 53335, 53336, 53337, 53338, 53339, 53340, 53341, 53342, 53343, 53344, 53345, 53346, 53347, 53348, 53349, 53350, 53351, 53352, 53353, 53354, 53355, 53356, 53357, 53358, 53359, 53360, 53361, 53362, 53363, 53364, 53365, 53366, 53367, 53368, 53369, 53370, 53371, 53372, 53373, 53374, 53375, 53376, 53377, 53378, 53379, 53380, 53381, 53382, 53383, 53384, 53385, 53386, 53387, 53388, 53389, 53390, 53391, 53392, 53393, 53394, 53395, 53396, 53397, 53398, 53399, 53400, 53401, 53402, 53403 ], "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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Radiometers onboard the FAAM BAE-146 aircraft in conjunction with surface based sun-photometers will determine the accuracy of the retrieval algorithms in terms of the aerosol optical depth, size distribution, and refractive indices.\r\n\r\nThe main objectives of DABEX are:\r\n\r\n-to perform high quality in-situ and remote sensing measurements of the optical and physical properties of anthropogenic biomass burning aerosols from sub-Sahelian west Africa;\r\n-to perform high quality in-situ and remote sensing measurements of the optical and physical properties of natural mineral dust aerosols from over sub-Sahelian west Africa;\r\n-to determine the interaction between the anthropogenic biomass burning aerosols and natural mineral dust aerosols using a combination of chemical, physical and optical measurements;\r\n-to provide high quality spectral measurements of the solar and terrestrial radiative effects of both biomass burning aerosol and mineral dust aerosol;\r\n-to determine the consistency between in-situ measurements/ satellite and surface-based remote-sensing methods of the effects on the radiation budget of the Earth of the composite biomass and mineral dust aerosols;\r\n-to model the effect of the biomass and mineral dust aerosols on a regional and global scale and estimate the impact on the global radiation balance of the Earth/Atmosphere system.\r\n" } ], "responsiblepartyinfo_set": [ 62413, 62414, 62415, 62418, 62419, 62420, 62421, 62422, 62416, 62417 ], "onlineresource_set": [ 11086, 11083, 11084, 11085 ] }, { "ob_id": 16268, "uuid": "ae91b8ee4d2643468199747b58a723af", "title": "FAAM B712 DIAMET 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 DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2017-01-23T10:15:40", "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": "DIAMET, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:13.658946", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1138, "bboxName": "", "eastBoundLongitude": 2.8751420974731445, "westBoundLongitude": -1.174717903137207, "southBoundLatitude": 52.044708251953125, "northBoundLatitude": 54.29981994628906 }, "verticalExtent": null, "result_field": { "ob_id": 16267, "dataPath": "/badc/faam/data/2012/b712-jul-10", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1080217315, "numberOfFiles": 59, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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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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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": 6599, "uuid": "6ca226c9634e57437f204ad9c5be77e1", "short_code": "coll", "title": "DIAMET: Ensemble of Atmospheric Airborne and Ground-based Measurements including Radar Data", "abstract": "Data from the DIAMET (DIAbatic influences on Mesoscale structures in ExTratropical storms, NE/I005234/1) project, part of the Storms Risk Mitigation NERC (Natural Environment Research Council) research programme 2009-2014. DIAMET used the FAAM (Facility for Airborne Atmospheric Measurements) BAE-146 aircraft, ground-based and airborne instruments and radar together with modelling studies to forge a better understanding and prediction of mesoscale structures in synoptic-scale storms. This is determined by focusing an incident laser beam on particles, and whenever a particle passes through the beam, a shadow is generated and imaged onto the diode array. 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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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. 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.\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. 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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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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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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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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. 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 have investigated 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.\r\n\r\nExamination of 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. 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.\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": [ 62479, 62480, 62481, 62484, 62485, 62486, 62487, 62488, 62482, 62483 ], "onlineresource_set": [ 11112, 11109, 11110, 11111 ] }, { "ob_id": 16285, "uuid": "7469d01945ed4c1ba9beeaef01cbf6da", "title": "FAAM B716 MAMM flight, number 1: 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 1 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": "2024-09-11T13:00:00", "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": "MAMM, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:13.679542", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1142, "bboxName": "", "eastBoundLongitude": 20.34173583984375, "westBoundLongitude": -0.6249644756317139, "southBoundLatitude": 52.065303802490234, "northBoundLatitude": 67.82467651367188 }, "verticalExtent": null, "result_field": { "ob_id": 16284, "dataPath": "/badc/faam/data/2012/b716-jul-20", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2950944123, "numberOfFiles": 38, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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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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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. 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. 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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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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. 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. 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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. 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 have investigated 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.\r\n\r\nExamination of 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. 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. 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Aircraft measurements will be coordinated with (and may also be co-located with) ground-based measurements from a number of sites including Cardington (Beds.), Camborne (Cornwall), Weybourne (Norfolk) and Chilbolton (Hants.).\r\n\r\n \r\n\r\nAircraft measurements will be focussed on examining the links between sub-cloud aerosols and drizzle and their impacts on the evolution of boundary-layer structure over land. Additionally, the aircraft may observe vertical profiles of the turbulent fluxes of heat and moisture for comparison with the output of the Unified Model boundary layer parametrization scheme.\r\n\r\n\r\nMeteorological Conditions:\r\n\r\nStratocumulus cloud sheets forming over sea areas in the SW Approaches or N.Sea and being advected over land. Likely conditions for this are:\r\n\r\n- warm sector of an open-wave depression with westerly or south-westerly flow over S.England,\r\n\r\n- anticyclone centred to the west of the UK, with northerly or north-easterly flow over the N.Sea onto the E.coast of England\r\n\r\nSingle cloud layers with no overlying medium or upper cloud are strongly preferred so as to simplify the interpretation of surface-based microwave radiometric data.\r\n\r\nInstrumentation:\r\n\r\nCore Consoles, Core Chemistry, AVAPS, mini-LIDAR, AMS, CPC, PSAP/Filters, Weather Radar, ARIES, SWS, CVI,PCASP, CDP, CAPS, 2D-C, CIP25, CIP100" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 50967, 50968, 50969, 50970, 50971, 50972, 50973, 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, 51212, 51213 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 16455, "uuid": "43346eb0a2e54ef2bfb544862b38b018", "short_code": "coll", "title": "COALESC: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for COALESC - 2011 Cloud physics and radiation studies." }, { "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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Barrier winds occur when the large-scale flow is piled up against the southeast coast of Greenland, forcing winds parallel to the coast. While located off this southeast coast is an area of frequent mesoscale cyclogenesis. GFDex will also investigate Greenlands role in atmospheric flow predictability by carrying out upstream observations that are targeted at investigating the sensitivity of the downstream flow to the details of the upstream flow and at improving subsequent forecasts over Europe. Greenlands flow distortion can trigger large-scale atmospheric Rossby waves which influence weather systems thousands of kilometres away and several days later. These waves are by nature predictable, so by adapting our observing strategy to target specific areas, improvements in subsequent forecasts over the United Kingdom are possible.\r\n\r\nNumerical modelling experiments after the field campaign will be used to assess any improvements from the additional targeted observations. While further numerical modelling studies of the high impact local weather systems will be evaluated and refined using the aircraft-based observations. This will increase our understanding of these systems and, through comparisons with other observations and data sets, provide accurate fields of air-sea heat and moisture fluxes for driving ocean and climate models." } ], "responsiblepartyinfo_set": [ 63171, 63172, 63173, 63176, 63177, 63178, 63179, 63180, 63174, 63175 ], "onlineresource_set": [ 11422, 11419, 11420, 11421 ] }, { "ob_id": 16479, "uuid": "3f2985402292424e97cb34f699492144", "title": "FAAM B570 RONOCO flight, number 16: 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 16 for RONOCO: ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere Consortium Project project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-04-30T10:14:07", "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": "RONOCO, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-14T13:38:12.890913", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1170, "bboxName": "", "eastBoundLongitude": 0.5601503252983093, "westBoundLongitude": -3.24788236618042, "southBoundLatitude": 50.0201301574707, "northBoundLatitude": 52.83382797241211 }, "verticalExtent": null, "result_field": { "ob_id": 16478, "dataPath": "/badc/faam/data/2011/b570-jan-23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3422681575, "numberOfFiles": 42, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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The project was led by Professor Rod Jones of the University of Cambridge and ran from 2008 - 2012.\r\n\r\nThe project sought to build on the significant and increasing body of evidence that night time chemistry, driven primarily by the nitrate radical NO3, plays a significant role in governing the composition of the troposphere. Recent findings show that very high concentrations of NO3 are present away from the Earth's surface. In polluted environments, the main sinks are abundant but this is also where its formation may be most rapid and hence the NO3 turnover time is very fast. The importance of this behaviour is not as yet clearly understood, yet it may have a very large impact on atmospheric chemistry and ozone formation, regional transport and transformation of oxidised nitrogen and hence acidification and eutrophication, and may also significantly add to the regional burden of ammonium nitrate particulate, which has increasing climatic importance. To understand and predict these phenomena correctly there is a need to quantify the basic chemical processes controlling NO3 and its removal from the atmosphere; the impact of NO3 chemistry on volatile organic carbon chemistry and as a pathway for radical formation and propagation; its heterogeneous chemistry and its impact on the aerosol burden and composition; its influence on ozone formation on regional and global scales and its mediation of the atmospheric lifecycle of oxidised nitrogen.\r\n\r\nThe RONOCO project sought to address these coupled questions using a combined programme of instrument development, airborne measurement, detailed process modelling, and regional and global modelling. The principal deliverables were : a) Enhancements to the instrumental capability of the FAAM aircraft to include measurements of NO3 and N2O5. b) Comprehensive measurements of night time radicals, their sources and sinks, and aerosol composition in the boundary layer and free troposphere in a range of conditions. c) Quantification of the key processes which control night-time chemical processes. d) Assessment of the impacts of night-time chemistry on regional scales. e) An assessment of the global impacts of night-time chemistry in the current and future atmospheres.\r\n\r\nA project space was made available to the project participants during the project to facilitate data sharing and preparation of products for archiving at the BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50968, 50969, 50970, 50971, 50972, 50973, 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, 51048, 51052, 51054, 53238 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5699, "uuid": "9d0e5124b77e7549de08c7352e873e86", "short_code": "coll", "title": "RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere): In-situ airborne atmospheric chemistry and air quality unified model runs output", "abstract": "Atmospheric chemistry measurements were made during a series of campaign flights by the Facility for Airborne Atmospheric Measurements' (FAAM) BAE-146 research aircraft as part of the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. 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The ultimate aim was to assess the pervasiveness and importance of night time chemical processes, and in particular NO3, for UK regional and Western European air quality, eutrophication, and ultimately to quantify its linkages to climate change.\r\n\r\nThe dataset contains images from the model output in png format." }, { "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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