Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=6800
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6900", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6700", "results": [ { "ob_id": 27674, "uuid": "30b88b73be9d45a9bca6dd3b599b0842", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/bitmap/data/cmip5-derived-wd-tracks/midHolocene/", "numberOfFiles": 7, "volume": 34703517, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27673, "uuid": "3a49f746dcdb4ff98e17919c84acbd20", "short_code": "ob", "title": "BITMAP: Tracks of western disturbances transiting Pakistan and north India from various CMIP5 midHolocene experiments", "abstract": "This dataset contains tracks generated using a bespoke tracking algorithm developed within the BITMAP (Better understanding of Interregional Teleconnections for prediction in the Monsoon And Poles) project, identifying and linking upper-tropospheric vortices (described in Hunt et al, 2018, QJRMS - see linked documentation). The dataset was produced utilising data derived from from various simulation output for the WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5) 'mid-Holocene' experiment. Similar datasets were produced using various model output from the WRCP CMIP5 'Historical', 'RCP45' and 'RCP85' experiments and the ECMWF ERA-Interim reanalysis model output, also available within the parent dataset collection.\r\n\r\nThe mid-Holocene period were designed to simulate the climate 6000 years ago, thus the representative date range for these data is circa 4025-4000 BC. Not all available CMIP5 mid-Holocene experiments were chosen for this dataset as the algorithm required 6-hourly output fields which were not available for all runs.\r\n\r\nWestern disturbances (WDs) are upper-level vortices that can significantly impact the weather over Pakistan and north India. This is a catalogue of the tracks of WDs passing through the region (specifically 20-36.5N, 60-80E) on the 500 hPa layer. This differs from those tracks from the ECMWF Era-Interim data which were carried out on the 450-300 hPa layer. See linked documentation for details of the algorithms used.\r\n\r\nBITMAP was an Indo-UK-German project (NERC grant award NE/P006795/1) to develop better understanding of processes linking the Arctic and Asian monsoon, leading to better prospects for prediction on short, seasonal and decadal scales in both regions. Recent work had suggested that the pole-to-equator temperature difference is an essential ingredient driving variations in the monsoon. For further details on the project itself see the linked Project record." }, "onlineresource_set": [] }, { "ob_id": 27693, "uuid": "a433bc0c113d4303861fecdc29148ad6", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_ORAC/L2/v4.01", "numberOfFiles": 46466, "volume": 132919865240, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27680, "uuid": "8b63d36f6f1e4efa8aea302b924bc46b", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. \r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 27694, "uuid": "591a0d40b43d40b79283dfa526fdb73f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_ORAC/L3/v4.01", "numberOfFiles": 3112, "volume": 13450700759, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27683, "uuid": "da2b8512312a4f14a928766f7f632d36", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ORAC algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the AATSR instrument on ENVISAT, derived using the ORAC algorithm, version 4.01. Both daily and monthly gridded products are available\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 27703, "uuid": "f102ab1d135f4aeb94392db69af4c219", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/baci_ssv/data/v1.0/regional_sites/11_west_africa", "numberOfFiles": 437, "volume": 136494044470, "fileFormat": "All files are NetCDF 4.0;\r\nDirectory lst - contains Land Surface Temperature Data plus uncertainty measurements;\r\nDirectory optical - contains Albedo Data plus uncertainity measurments;\r\nDirectory sar - contains Backscatter Data form Sentinel-1 with uncertainties;\r\n\r\nSee iPython notebook in dataset documnetation for futher information", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27437, "uuid": "e27efc2d7f294ec2ac4e68d4b44102aa", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for West African regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for West Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, "onlineresource_set": [] }, { "ob_id": 27706, "uuid": "7fb4e4a1ebdb4aa4a324bd425d252135", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2019/air-pollution-interviews", "numberOfFiles": 2, "volume": 966436, "fileFormat": "Interviews are available as a pdf document.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27705, "uuid": "891dc49a623c4d4a82c2ee17cd85d773", "short_code": "ob", "title": "Qualitative Interviews with Women in Greater Manchester (UK) about their conceptualizations of air pollution and a city with clean air", "abstract": "This dataset contains semi-structure qualitative interview transcripts (n=30) with women in Greater Manchester, about how they conceptualize air pollution and envision a city with clean air. This data has been fully anonymized by the author. The data collection took place between 2018 and 2019. Interviews were designed to last approximately 1h. The questioning route received full ethical approval from Manchester Metropolitan University Academic Ethics Committee. Participants were recruited following a purposive sampling technique, assuring that the people being interviewed are relevant to the research question and that different segments of the population are interviewed. This was complemented with a snowball sampling technique to expand the sample size of relevant interviewees. Before the interviews started, the background of the researcher, the project, as well as the structure of the interviews were explained to the participants, and verbal consent was asked to proceed with the interview, to record, and to use the data in the form of papers or conference presentations, as well as to make the data publicly available. \r\n\r\nThe interviews were composed of two sections. The first part gathered data in relation to socio-demographic factors to make sure that women with different backgrounds were represented (i.e. age, ethnicity, nationality, number of children, occupation, co-habitation, responsibility for unpaid work, carbon footprint, and main form of transport). The second part contained questions about the present of air pollution and about the future of Greater Manchester and cleaner air. The questions were: (1) How do you feel when you hear the term air pollution? (2) How would you describe air pollution in your own words? (3) Which of your daily activities contribute to air pollution the most? (4) Is air pollution a concern for you? (5) Do you think Greater Manchester is polluted, and do you recognize any places as being more polluted than others? (6) When you decide on a form of transport, what do you value most? (7) How do you feel when you hear a city with clean air? (8) How would you describe a city with clean air? (9) If you could change anything in Greater Manchester, so that it becomes a city with clean air, what would you change? \r\n\r\nSample description: 30 women in Greater Manchester. \r\nAge: < 40 (14 participants), 40-60 (11 participants), > 60 (5 participants).\r\nNationality: British (23 participants), Other nationalities (7 participants).\r\nEthnicity: White (25 participants) Other ethnic groups (5 participants).\r\nOccupation: Policy-maker (3 participants), Teacher (4 participants), University lecturer or researcher (6 participants), Student (2 participants), Environmental manager (2 participants), Business professional (3 participants), Architect (1 participants), Service and sales worker (3 participants), Retired (6 participants). \r\nChildren: Yes (17 participants), No (13 participants).\r\nResponsibility for unpaid work: Myself (9 participants), 50% - 50% split (6 participants), Me > 50% (10 participants), Me < 50% (5 participants). \r\nCo-habitation: Alone (4 participants), Partner (16 participants), Partner and children (6 participants), Children (3 participants), Flatmate (1 participants). \r\nMain form of transport: Car (11 participants), Walk (9 participants), Public transport (6 participants), Bike (4 participants). \r\nCarbon footprint: High (23 participants), Low (7 participants). \"," }, "onlineresource_set": [] }, { "ob_id": 27707, "uuid": "72b819978a9944d290847ac2524ed7d4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/clam", "numberOfFiles": 74, "volume": 9476957211, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27709, "uuid": "654678c486084d90b40419ac8ec405b5", "short_code": "ob", "title": "Climate of the last millenium UV solar model experiments", "abstract": "This dataset contains UV solar model experiment data using the Hadley Centre Global Environmental Model version 3 at the Global Coupled model 2.0 (HadGEM3 GC2) configuration (Williams et al 2015). The model was used as part of the Natural Environment Research Council (NERC) Climate of the LAst Millennium (CLAM): An Integrated Data-Model Approach to Reconstruct and Interpret Annual Variability in North Atlantic Circulation project (NE/N001176/1).\r\n\r\nThe model performs step changes in the UV forcing and integrate for 50 years to identify multi-decadal changes due to solar radiation adjustment. The simulations are 0.25 degree ocean resolution (eddy-permitting) and so ocean dynamics and ocean-atmosphere coupling are more realistic than in models used in previous work evaluating the effect of UV forcing. Each simulation has an equivalent control simulation, and an experiment with a total solar irradiance change in addition to the UV forcing experiments." }, "onlineresource_set": [] }, { "ob_id": 27712, "uuid": "24a8fada3396406fa0664b76401a47ff", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/niall/data/CABMOD_profiles/", "numberOfFiles": 70, "volume": 50236789, "fileFormat": "Data are BADC CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27725, "uuid": "8120f50827564bd7ae22ee3ac50e6c8f", "short_code": "ob", "title": "NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids", "abstract": "This dataset contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids.\r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere." }, "onlineresource_set": [] }, { "ob_id": 27720, "uuid": "f967836c531d481c9bb4f3f13fa140b7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/niall/data/MASI/", "numberOfFiles": 882, "volume": 217281482, "fileFormat": "Data are BADC CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27719, "uuid": "5f7c65c06317418f8ff0b6881c929153", "short_code": "ob", "title": "NIALL: Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data", "abstract": "This dataset contains Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data, where samples were heated in vacuum chamber with Na and Ni and detected by laser induced fluorescence. The data are Laser induced fluorescence (LIF) profiles of Ni and Na from ablating particles (powdered meteorite or meteorite proxy). \r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere." }, "onlineresource_set": [] }, { "ob_id": 27731, "uuid": "b18212fa7fec483aa5cb11161a2986e1", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel3a/data/OLCI/L1_ERR/", "numberOfFiles": 29770, "volume": 8057215120699, "fileFormat": "These image files are in NETCDF4 format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27730, "uuid": "bcbe8362169549d7bf839cd0f12ff1e6", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Reduced Resolution (ERR) level 1 data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Reduced Resolution (ERR) Level 1 data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. Reduced Resolution products are obtained by averaging the signal of a grid of 16 FR pixels (4 Along Track x 4 Across Track). For the normal orbit of Sentinel 3A the OLCI instrument provides a Reduced Resolution produced with a spatial resolution of approximately 1.2km with worldwide coverage every ~2 days.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, "onlineresource_set": [] }, { "ob_id": 27732, "uuid": "ff61966927064266a3bd17d4fdb981ae", "short_code": "result", "curationCategory": "", "dataPath": "/badc/impala/data/explicit-4km/present/", "numberOfFiles": 32521, "volume": 11016136491337, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27727, "uuid": "f46b14e670fc49cbaadf108c969e7ee0", "short_code": "ob", "title": "CP4A-Present: Present-day climate predictions for Africa", "abstract": "Ten years of present-day Climate Predictions for Africa (CP4A-present) data were produced by the NERC funded IMPALA (Improving Model Processes for African cLimAte) project team using the Met Office Unified Model (4.5km horizontal grid spacing) and are valid from 1997-2007. Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation and surface sensible heat flux. The IMPALA project is within the Future Climate for Africa (FCFA) programme.\r\n\r\nHere a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies." }, "onlineresource_set": [] }, { "ob_id": 27733, "uuid": "d9eb6f6a497d4a5b87ec042417f9676c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/impala/data/param-25km/present", "numberOfFiles": 32522, "volume": 240978290123, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27728, "uuid": "4e362effa16146abbe45c2c58f1e54ed", "short_code": "ob", "title": "P25-Present: Present-day 25km regional pan-Africa data", "abstract": "Ten years of present-day 25km regional pan-Africa (P25: Present) data were produced by the NERC funded IMPALA (Improving Model Processes for African cLimAte) project team using the Met Office Unified Model and are valid from 1997-2007. Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation, surface latent heat flux and surface sensible heat flux. The IMPALA project is within the Future Climate for Africa (FCFA) programme.\r\n\r\nHere a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies." }, "onlineresource_set": [] }, { "ob_id": 27734, "uuid": "b1ff9ae6f4444fb29305f7ada03306ce", "short_code": "result", "curationCategory": "", "dataPath": "/badc/impala/data/explicit-4km/future", "numberOfFiles": 28922, "volume": 10518293334189, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26913, "uuid": "a027093520b2432b8e782e3edefd6b47", "short_code": "ob", "title": "CP4A-Future: Future climate predictions for Africa", "abstract": "The future Climate Predictions for Africa (CP4A-future) data were produced using the Met Office's Unified Model (4.5km horizontal grid spacing), the IMPALA (Improving Model Processes for African cLimAte) project ran a ten-year timeslice simulation that is representative of end the 21st century (2095-2105) using a 30-year averaged sea surface temperature (SST) anomaly (2085-2115 relative to 1975-2005). Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation, surface latent heat flux and surface sensible heat flux. The NERC funded IMPALA project is within the Future Climate for Africa (FCFA) programme. \r\n\r\nHere a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies." }, "onlineresource_set": [] }, { "ob_id": 27735, "uuid": "ae3610e766444e51b202fa58633eaf22", "short_code": "result", "curationCategory": "", "dataPath": "/badc/impala/data/param-25km/future", "numberOfFiles": 32522, "volume": 240832795579, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27729, "uuid": "8f8eab18b07e420a9b7230d86ed172fe", "short_code": "ob", "title": "P25-Future: Future 25km regional pan-Africa data", "abstract": "The future 25km regional pan-Africa (P25: Present) data were produced using the Met Office's Unified Model, the IMPALA (Improving Model Processes for African cLimAte) project ran a ten year timeslice simulation that is representative of end the 21st century (2095-2105) using a 30-year averaged sea surface temperature (SST) anomaly (2085-2115 relative to 1975-2005). Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation, surface latent heat flux and surface sensible heat flux. The NERC funded IMPALA project is within the Future Climate for Africa (FCFA) programme.\r\n\r\nHere a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies." }, "onlineresource_set": [] }, { "ob_id": 27739, "uuid": "e5ea5b8957b54c07901d845eda974126", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc-regions/data/ar5/seasonal-means", "numberOfFiles": 8, "volume": 6785403, "fileFormat": ".xls, .csv, .txt", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26598, "uuid": "9d0f61dc7a1b4017b22d88f9d38ab398", "short_code": "ob", "title": "IPCC AR5 Seasonal Mean Temperature and Precipitation in IPCC Regions for CMIP3 and CMIP5", "abstract": "Projected regional average change in seasonal and annual mean temperature and precipitation for the IPCC SREX regions for CMIP5 and CMIP3. The data were produced in 2014 by the Intergovernmental Panel on Climate Change (IPCC) Working Group II (WGII) Chapter 21 author team for the IPCC Fifth Assessment Report (AR5). \r\n\r\nRegional average seasonal and annual mean temperature and precipitation for the period 2071-2100 are compared to a baseline of 1961-1990 for CMIP5 and CMIP3 General Circulation Model (GCM) projections.\r\nThe data compare the range of projections from 35 Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble under four Representative Concentration Pathway (RCP) scenarios compared with GCM projections from 22 CMIP3 ensemble under three Special Report on Emission Scenarios (SRES) scenarios. \r\n\r\nRegional averages are based on SREX regions defined by the IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (IPCC, 2012: also known as \"SREX\")." }, "onlineresource_set": [ 27017 ] }, { "ob_id": 27748, "uuid": "eb642b35178a470ea9d283ed638e1094", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/fiduceo/data/cdr/UTH_MW/v1.2/", "numberOfFiles": 1022, "volume": 4234786629, "fileFormat": "The file format is netCDF, and each UTH CDR file for this version contains:Longitudes and Latitudes of grid cell centres and grid cell boundaries; Observation and satellite overpass counts for ascending and descending branches; Earliest and latest time of day of pixel contribution to the monthly average, for ascending and descending branches;; Monthly average and standard deviation of 183.31±1 GHz brightness temperatures that were used to derive UTH (excluding cloudy pixels), for ascending and descending branches;Monthly average of all 183.31±1 GHzbrightness temperatures (including cloudy pixels), for ascending and descending branches;Monthly average and standard deviation of UTH (derived from channel 3 brightness temperatures);Independent, structured and common uncertainty for monthly averages of brightness temperatures and UTH, for ascending and descending branches;The dimensions of the variables in the NetCDF file are xand y, indicating east-west and north-south direction, respectively. For further information see thefile format specification in the documentation.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26982, "uuid": "2083b33b5c3d4cf0acb9a49226789caa", "short_code": "ob", "title": "FIDUCEO: Microwave Upper Troposheric Humidity and Uncertainties, Climate Data Record, 1994-2017, V1.2", "abstract": "The The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Upper Tropospheric Humidity (UTH) Climate Data Record version 1.2 dataset is derived from satellite brightness temperatures and uncertainties from the FIDUCEO Microwave Fundamental Climate Data Record (FCDR). The instantaneous observations from the FIDUCEO Microwave FCDR are used to derive a spatio-temporal averaged data record, which contains monthly mean UTH and brightness temperature mapped to a regular latitude/longitude grid covering the tropical region (-30° to 30° N), with a spatial resolution of 1° x 1°. It covers all mission years of the Special Senson Microwave for Temperature (SSMT2) instrument on the F11, F12, F14, F15 satellites, the Advanced Mircowave Sounding Unit (AMSU-B ) instrument on the NOAA 15-17 satellites and the Microwave Humidity Sounder (MHS) instruments on the NOAA18, NOAA19, MetopA, Metop-B satellites. \r\n\r\nFull documentation including product user guide, tutorials and relevant publications are available in the documentation" }, "onlineresource_set": [] }, { "ob_id": 27755, "uuid": "fd2d30a5ee9842e7bfca7c6ed416a44e", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/stations/bachok", "numberOfFiles": 3, "volume": 15632294, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27751, "uuid": "e9aee1f49d2d49edbbfa948c32bfd457", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Atmospheric carbon dioxide and methane measurements taken from Bachok Marine Research Station, Malaysia", "abstract": "This dataset contains atmospheric carbon dioxide and methane measurements taken from Bachok Marine Research Station, Malaysia using Los Gatos Research (LGR) Fast Greenhouse Gas Analyser (FGGA) from 2015 to present. LGR FGGA measures trace concentrations of methane (CH4), carbon dioxide (CO2) and water vapor (H2O) simultaneously in flowing gaseous samples (usually air) at rates up to ≥10 Hz.\r\n\r\nBackok Research Station is located on the east coast of Malaysia, within 100 m of the waters' edge of the South China Sea. This facility is part of the Institute of Ocean and Earth Sciences (IOES) at the University of Malaya (UM). An atmospheric observation tower has been built on the windward side of the main building, for the specific purpose of studying long range transported pollution, air sea exchange, and coastal meteorology. \r\n\r\nThe UK participation of the Methane Observations and Yearly Assessments (MOYA) project was funded by the Natural Environment Research Council (NERC, grant: NE/N015584/1)." }, "onlineresource_set": [] }, { "ob_id": 27756, "uuid": "346d29de497b4aea92737dd37b34ed4b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/fiduceo/data/cdr/aot/v0.1.1/mviri/", "numberOfFiles": 8011, "volume": 238976626346, "fileFormat": "netCDF 4 file format see FIDUCEO format specification in documentation for further information", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27604, "uuid": "afa7ac23b4a04c07a93a143689fd14d5", "short_code": "ob", "title": "FIDUCEO: MVIRI Aerosol Optical Thickness and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1", "abstract": "The MVIRI Aerosol Optial depth demonstration dataset contains the aerosol optical thickness (AOT) as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centred around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.\r\n\r\nThe aerosol optical thickness (AOT) was retrieved from the MVIRI fundamental climate data record (FCDR) using the Combined Inversion of Surface and AeRosol (CISAR) Algorithm. Both datasets were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project. The primary objective of this data record is to assess and demonstrate how the recalibrated and uncertainty-quantified MVIRI FCDR can support improved retrieval of geophysical parameters. Of particular interest is the impact of in-flight reconstructed and spectrally degrading spectral response functions.\r\n\r\nMore information is available in the MVIRI Report and Release Note in the documentation" }, "onlineresource_set": [] }, { "ob_id": 27760, "uuid": "99e16207933d460c94cc866ba663cfe4", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/fiduceo/data/cdr/albedo/v0.1.1/mviri/", "numberOfFiles": 5777, "volume": 80987231399, "fileFormat": "netDF 4.0 file format for fulll detail see FIDUCEO file format specification in the documentation", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27605, "uuid": "b963913b22fe47caaa39e27dcbf0021e", "short_code": "ob", "title": "FIDUCEO: MVIRI Albedo and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1", "abstract": "The MVIRI Albedo and Uncertainties demonstration dataset contains the broadband surface albedo as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centered around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.\r\n\r\nThe albedo data was retrieved from the MVIRI fundamental climate data record; both were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project." }, "onlineresource_set": [] }, { "ob_id": 27764, "uuid": "1f99c493b16644a9927ff8dc814ac5a3", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-cpm/uk/2.2km", "numberOfFiles": 111649, "volume": 62931077067046, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27763, "uuid": "d5822183143c4011a2bb304ee7c0baf7", "short_code": "ob", "title": "UKCP Local Projections at 2.2 km Resolution for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2 km), helping to inform adaptation to a changing climate. \r\n \r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains 2.2 km data for the UK on the 2.2 km rotated pole grid. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 27767, "uuid": "b9aa46054ceb42bb9290c5805747cd89", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-cpm/uk/region", "numberOfFiles": 10142, "volume": 2914579076, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27766, "uuid": "e7b0165f3b57409998ca2632dad7a1a3", "short_code": "ob", "title": "UKCP Local Projections by Administrative Regions over the UK for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data regionally averaged to 16 UK Administrative Regions. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 27770, "uuid": "23f9153ed6cc4501aea366ebd45d7d5c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-cpm/uk/country", "numberOfFiles": 10186, "volume": 2526435478, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27769, "uuid": "c9ffb25353964ae1ae071de0c46edb08", "short_code": "ob", "title": "UKCP Local Projections by UK Countries for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2 km data regionally averaged for 8 \"country\" regions across the UK including England, England and Wales, Northern Ireland, Scotland, United Kingdom, Wales. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section" }, "onlineresource_set": [] }, { "ob_id": 27773, "uuid": "95324d7e38424823928f505f7b695d72", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-cpm/uk/river", "numberOfFiles": 10168, "volume": 3314951697, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27772, "uuid": "60280254243844d3a9dcf2368bb45a91", "short_code": "ob", "title": "UKCP Local Projections by UK River Basins for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data regionally averaged to 23 UK River Basins. Further information on this dataset and UKCP18 can be found in the documentation section. \r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 27776, "uuid": "df74a962209f4dfdb3bfaecfe2f0a2ab", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-cpm/uk/5km", "numberOfFiles": 99057, "volume": 11541556178218, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27775, "uuid": "e304987739e04cdc960598fa5e4439d0", "short_code": "ob", "title": "UKCP Local Projections on a 5km grid over the UK for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n \r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data on a rotated pole regridded onto a 5km grid on the Ordnance Survey's British National Grid. Further information on this dataset and UKCP18 can be found in the documentation section. \r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the\" UKCP Project News page in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 27779, "uuid": "7764b4260e254897a929100d441c01d7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel3a/data/SRAL/L2_LAN/", "numberOfFiles": 3414, "volume": 22207654762, "fileFormat": "These data are provided in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27778, "uuid": "d11cdf15ecfe4e7a805d88254d58208a", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 2 Land data", "abstract": "This dataset contains altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Level-2 (L2) is the Level-1 data corrected for geophysical effects. \r\n\r\nLike many recent altimeters, Sentinel 3 operates at two frequencies (Ju and C band) in order to derive an ionospheric correction. A Level 2 SRAL/MWR complete product contains three data files:\r\na \"reduced\" (Red) data file, containing a subset of the main 1 Hz Ku band parameters\r\na \"standard\" (Std) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters\r\nan \"enhanced\" (Enh) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters, the waveforms and the associated parameters necessary to reprocess the data.\r\nThe SRAL/MWR Level-2 products are generated in Standard Archive Format for Europe (SAFE) format. All the information relevant to the product is gathered into a single package. Inside this package, the specific objects containing measurement data are encoded in netCDF format.\r\n\r\nThere are different levels of data latency related to the availability of auxiliary or ancillary data:\r\n\r\nNear Real-Time (NRT): delivered less than 3 hours after data acquisition\r\nSlow Time Critical (STC): delivered within 48 hours after data acquisition\r\nNon-Time Critical (NTC): delivered within typically 1 month after data acquisition.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, "onlineresource_set": [] }, { "ob_id": 27781, "uuid": "6e802662350941dc933a69e19769264b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/station/glatton/leic-ftir/", "numberOfFiles": 2, "volume": 21089734, "fileFormat": "Data are BADC CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27780, "uuid": "34660ad77b744572b70fe6a721cbd4f2", "short_code": "ob", "title": "GAUGE: Ecotech Spectronus FTIR greenhouse gas concentrations in Glatton, Cambridgeshire from October 2014 to April 2016", "abstract": "This dataset contains concentrations of methane, carbon dioxide, nitrous oxide, and carbon monoxide measured using an Ecotech Spectronus FTIR (Fourier transform infrared spectrometer) in Glatton, Cambridgeshire. The instrument operated from October 2014 to April 2016 in the tower of St Nicholas Church, Glatton. The church is located at 52.461N, 0.304W, and the inlet was located 20m above the ground.\r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project.\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution, and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales." }, "onlineresource_set": [] }, { "ob_id": 27789, "uuid": "24abbd0c02064c6090830f510a565d71", "short_code": "result", "curationCategory": "", "dataPath": "/badc/gauge/data/station/great-blakenham/", "numberOfFiles": 2, "volume": 458937, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27786, "uuid": "ad00efa6f2b44d92aa1022e5b122bb22", "short_code": "ob", "title": "GAUGE: Ecotech Spectronus FTIR greenhouse gas concentrations on a landfill site near Great Blakenham, Suffolk, from 7th August 2014 to 15th August 2014", "abstract": "This dataset contains concentrations of methane, carbon dioxide, nitrous oxide, and carbon monoxide measured using an Ecotech Spectronus FTIR (Fourier transform infrared) spectrometer. The instrument operated from 7 August 2014 to 15 August 2014 on a landfill site near Great Blakenham, Suffolk. The measurement site was located at 52.112N, 1.082E, and the inlet was located 2m above the ground.\r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project.\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales." }, "onlineresource_set": [] }, { "ob_id": 27792, "uuid": "8929914f27ef4187b3648175f1a817a5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc-regions/data/ar5/extremes", "numberOfFiles": 4, "volume": 610145, "fileFormat": "csv and xls", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27790, "uuid": "9604cf11798b4af3a9dfe573617571d2", "short_code": "ob", "title": "IPCC AR5 Seasonal temperature and precipitation extremes in IPCC regions for CMIP5", "abstract": "Projected regional average change in seasonal and annual temperature and precipitation extremes for the IPCC SREX regions for CMIP5. The data were produced in 2013 by the Intergovernmental Panel on Climate Change (IPCC) Working Group II (WGII) Chapter 14 supplementary material (SM) author team for the IPCC Fifth Assessment Report (AR5). \r\n\r\nRegional average seasonal and annual temperature and precipitation extremes for the periods 2016-2035, 2046-2065 and 2081-2100 for CMIP5 General Circulation Model (GCM) projections are compared to a baseline of 1986-2005 from each model's historical simulation. The temperature and precipitation data are based on the difference between the projected periods and the historical baseline for which the 25th, 50th and 75th percentiles, and the lowest and highest responses among the 32 models which are expressed for temperature as degrees Celsius change and for precipitation as a per cent change. The temperature responses are averaged over the boreal winter and summer seasons; December, January, February (DJF) and June, July and August (JJA) respectively. The precipitation responses are averaged over half year periods, boreal winter (BW); October, November, December, January, February and March (ONDJFM) and boreal summer (BS); April, May, June, July, August and September (AMJJAS). \r\n\r\nRegional averages are based on the SREX regions defined by the IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (IPCC, 2012: also known as \"SREX\"). Added to the SREX regions are additional regions containing the two polar regions, the Caribbean, Indian Ocean and Pacific Island States. The data are further categorised by the land and sea mask for each SREX region." }, "onlineresource_set": [] }, { "ob_id": 27794, "uuid": "6df625db88a6479788e64476017b75c4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/uk-decc-network/data/previous_versions/Heathfield/", "numberOfFiles": 33, "volume": 659805563, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27793, "uuid": "df502fe4715c4177ab5e4e367a99316b", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6 and CO measurements from Heathfield Tall Tower, East Sussex", "abstract": "Measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) have been taken at Heathfield tall tower as part of the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nHeathfield (HFD) is a semi-rural UK site located 19 km south of Royal Tunbridge Wells (population ~118,000), in East Sussex, UK. This station is affiliated to the UK DECC (Deriving Emissions related to Climate Change) Network, and is operated by the National Physics Laboratory (NPL). CO2, CH4 and CO are measured at a height of 50 m and 100 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK and Ireland.\r\n\r\nDue to the sites location, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Ridge Hill and Tacolneston) and Ireland (Mace Head).\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol and through the National Measurement System at the National Physical Laboratory." }, "onlineresource_set": [] }, { "ob_id": 27807, "uuid": "b3b7c4652fe145b69ed266b933dccf70", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c200-aug-13", "numberOfFiles": 45, "volume": 4296394937, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27808, "uuid": "8363ce5efc4e49d788fb98e4bf3812a7", "short_code": "ob", "title": "FAAM C200 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27809, "uuid": "31999c95d1cd45a1a6fd3e354332cbe7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c201-aug-14", "numberOfFiles": 45, "volume": 5426958993, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27810, "uuid": "8978b4819b4e4991bd06f5c867022d15", "short_code": "ob", "title": "FAAM C201 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27812, "uuid": "75178b3d2ecf4a11be5c8730016c0ac9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc-regions/data/ar5/regions", "numberOfFiles": 10, "volume": 257865, "fileFormat": "The 33 reference region boundaries are archived in Environmental Systems Research Institute (Esri) shapefile format (.shp, .shx and .dbf), with an additional projections file (.prj) to specify the projection. Users should be aware that the projections file is widely used, but is not part of the Esri standard (the standard does not provide any means of specifying the projection). It is thus possible that software designed to support a narrow, and technically accurate, interpretation of the standard will not pick up the information in the projections file.\r\n\r\nIn addition to the Esri shapefile data the reference regions are also provided in human-readable .xls and .cvs format containing the longitude-latitude coordinates of the region boundary vertices. A .jpeg file shows the regions on a map, it is produced from the Esri shapefile data with a sample .r script which is also included in this dataset.\r\n\r\nThe file format suffixes contained in this dataset are: .csv .xls .json .jpg .r .dbf .shp .shx .prj", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27811, "uuid": "a3b6d7f93e5c4ea986f3622eeee2b96f", "short_code": "ob", "title": "IPCC AR5 reference regions", "abstract": "The boundaries of a set of regions which are defined in Chapter 14 of the Working Group 1 (WGI) contribution to the 2013 Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) and in the AR5 Annex I Atlas of Global and Regional Climate Projections. The regions are used for the calculation of IPCC regional climate statistics.\r\n\r\nThe regions used to calculate regional climate statistics in AR5 are the 26 SREX regions defined by the IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (IPCC, 2012: also known as \"SREX\"). For AR5 an additional 7 regions containing the two polar regions, the Caribbean, Indian Ocean and Pacific Island States have been added. In total there are 33 region boundaries and of these, 4 (the Arctic, Antarctic, South Asia and South-East Asia) are used twice for land-only and sea-only analysis, giving a total of 37 IPCC analysis regions.\r\n\r\nEach of the 33 regions is provided with a name and a label. The label is set to the three letter code used in the SREX report for the 26 SREX regions. The 7 additional reference regions are also given three letter short names.\r\n\r\nThe 26 SREX regions are: Alaska/NW Canada (ALA), Eastern Canada/Greenland/Iceland (CGI), Western North America (WNA), Central North America (CNA), Eastern North America (ENA), Central America/Mexico (CAM), Amazon (AMZ), NE Brazil (NEB), West Coast South America (WSA), South- Eastern South America (SSA), Northern Europe (NEU), Central Europe (CEU), Southern Europe/the Mediterranean (MED), Sahara (SAH), Western Africa (WAF), Eastern Africa (EAF), Southern Africa (SAF), Northern Asia (NAS), Western Asia (WAS), Central Asia (CAS), Tibetan Plateau (TIB), Eastern Asia (EAS), Southern Asia (SAS), Southeast Asia (SEA), Northern Australia (NAS) and Southern Australia/New Zealand (SAU).\r\n\r\nThe non-SREX reference regions are: Antarctica (ANT), Arctic (ARC), Caribbean (CAR), Western Indian Ocean (WIO), Northern Tropical Pacific (NTP), Equatorial Tropical Pacific (ETP) and Southern Tropical Pacific (STP). \r\n\r\nThe region definitions have a subtlety regarding the treatment of land and sea areas which needs to be handled with care. The climate models use a range of methods for dealing with coastal boundaries. The archived data includes a field giving the proportion of each model grid cell which is land or sea. A model grid cell is considered land if more that 50% of the cell is land. The mean for a given region is then defined in terms of the grid points (which are the cell centres) which are within the specified reference boundaries. The spatial area covered by these grid cells will then differ from model to model. The reference boundaries thus provide a starting point for defining the regional means: the means are not a simple average of these areas. The distinction is not expected to be substantial, but anyone wanting to reproduce exactly the same numbers will need to follow all steps carefully." }, "onlineresource_set": [ 27145, 27146 ] }, { "ob_id": 27813, "uuid": "1002584c459e479a80f666968ed74014", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c199-aug-13", "numberOfFiles": 42, "volume": 3789419289, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27814, "uuid": "0eafddba5d314b729271438b25133047", "short_code": "ob", "title": "FAAM C199 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27823, "uuid": "f5b06bc6dfb84dc5bb92c027f657aaab", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-midas-open/data/uk-radiation-obs/dataset-version-201908/", "numberOfFiles": 4890, "volume": 2602162936, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27819, "uuid": "d6bbe115245042dc93ee68caa253d60b", "short_code": "ob", "title": "MIDAS Open: UK hourly solar radiation data, v201908", "abstract": "The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2018.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 27824, "uuid": "1ab44989ea594fc3bd9e5583a609cfc3", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-soil-temperature-obs/dataset-version-201908/", "numberOfFiles": 22810, "volume": 3762868884, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27821, "uuid": "9972bc173ef94068b2070d4b26f849a7", "short_code": "ob", "title": "MIDAS Open: UK soil temperature data, v201908", "abstract": "The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2018.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 27825, "uuid": "717e4ba591f7419c9e97ff6e0f0011fc", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-mean-wind-obs/dataset-version-201908/", "numberOfFiles": 13948, "volume": 7281678183, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27820, "uuid": "ddcfd8bb1ff44cd2855e81838b40b17c", "short_code": "ob", "title": "MIDAS Open: UK mean wind data, v201908", "abstract": "The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2018.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 27826, "uuid": "e0270f972f234e3db88cd6aa1d2ede21", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-weather-obs/dataset-version-201908/", "numberOfFiles": 50019, "volume": 29469261115, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27818, "uuid": "6c441aea187b44819b9e929e575b0d7e", "short_code": "ob", "title": "MIDAS Open: UK hourly weather observation data, v201908", "abstract": "The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2018.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data." }, "onlineresource_set": [] }, { "ob_id": 27827, "uuid": "0103c90f16ad4154a3e50e59c54dbcc1", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-temperature-obs/dataset-version-201908/", "numberOfFiles": 61399, "volume": 2317965055, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27815, "uuid": "b37382e8c1e74b849831a5fa13afdcae", "short_code": "ob", "title": "MIDAS Open: UK daily temperature data, v201908", "abstract": "The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2018. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 27828, "uuid": "707c2237ece04bb88f01f5ece64fef4b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-rain-obs/dataset-version-201908/", "numberOfFiles": 14273, "volume": 4539305614, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27822, "uuid": "a58b9c8a724e4ec795a40a74455462b7", "short_code": "ob", "title": "MIDAS Open: UK hourly rainfall data, v201908", "abstract": "The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2018.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset." }, "onlineresource_set": [] }, { "ob_id": 27829, "uuid": "7587178212b04fdbb0f650b78d6a1745", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-weather-obs/dataset-version-201908/", "numberOfFiles": 45482, "volume": 2935987535, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27816, "uuid": "6ad6792f44c84c228651b01d182d9d73", "short_code": "ob", "title": "MIDAS Open: UK daily weather observation data, v201908", "abstract": "The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1889 to 2018. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 27830, "uuid": "650b02f6cde24d5ba4bb20b72cfcf7b2", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-rain-obs/dataset-version-201908/", "numberOfFiles": 51382, "volume": 1157380539, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27817, "uuid": "cb47cc464c5a41de8c718d117437b4e6", "short_code": "ob", "title": "MIDAS Open: UK daily rainfall data, v201908", "abstract": "The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2018. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 27831, "uuid": "1bddcb0cf4254895bcee00e3da4539de", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c127-jan-24", "numberOfFiles": 20, "volume": 612177873, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27832, "uuid": "cb2b7189549149ac9ab7a1a5f282c702", "short_code": "ob", "title": "FAAM C127 MOYA 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 Methane Observations and Yearly Assessments (MOYA) project." }, "onlineresource_set": [] }, { "ob_id": 27833, "uuid": "40d2ec55a2c347ddbf0d824c2c55f7cc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c128-jan-25", "numberOfFiles": 22, "volume": 1174248832, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27834, "uuid": "42a4a202612c4ed4810384fb25130685", "short_code": "ob", "title": "FAAM C128 MOYA 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 Methane Observations and Yearly Assessments (MOYA) project." }, "onlineresource_set": [] }, { "ob_id": 27838, "uuid": "443da90b33e147739bd14dc113fbc8cc", "short_code": "result", "curationCategory": "", "dataPath": "/badc/hadgem2ao/data/agzka", "numberOfFiles": 6400, "volume": 1966630229689, "fileFormat": "This data is provided in the Met Office PP format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27837, "uuid": "dbd287f1623e436c9a6ccd5c24d1b8d9", "short_code": "ob", "title": "HadGEM2-AO Historic Anthropogenic experiment model output for the agzka run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The agzka model run was a historic anthropogenic experiment. The boundary conditions of this experiment were as follows: Time-varying from 1859 to 2000, well-mixed greenhouse gases (GHGs), ozone emissions datasets, sulphate and carbonaceous aerosols, land surface/vegetation, constant volcanic stratospheric aerosols & Solar irradiance. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, "onlineresource_set": [] }, { "ob_id": 27839, "uuid": "1b5aee46a448440689f5aad561463a2e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c202-aug-15", "numberOfFiles": 35, "volume": 3554597609, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27840, "uuid": "62906b15a7ae44e4a11ce77c76537f58", "short_code": "ob", "title": "FAAM C202 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27841, "uuid": "8187db808e824b64929527e51e1dddcb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c203-aug-15", "numberOfFiles": 41, "volume": 4416149747, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27842, "uuid": "3fa55ea0513c4111a2f79ad5004d0a48", "short_code": "ob", "title": "FAAM C203 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27843, "uuid": "6a73f2b5114f43618c2bd2b9067b5564", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c204-aug-16", "numberOfFiles": 41, "volume": 4126214645, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27844, "uuid": "c9fcaa2e7ee845e5bb1163863b845153", "short_code": "ob", "title": "FAAM C204 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27845, "uuid": "ca9d96db0bd14e61a3ce179c758c54a2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c205-aug-16", "numberOfFiles": 41, "volume": 4244082428, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27846, "uuid": "a354aa616629419badb5b52ae0cb9313", "short_code": "ob", "title": "FAAM C205 ACSIS-5 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 North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, "onlineresource_set": [] }, { "ob_id": 27847, "uuid": "a092611ab56349b1919e0e7e444129e4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c206-aug-19", "numberOfFiles": 41, "volume": 4061532423, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27848, "uuid": "fa304af6d7004b158fa737da9fc56067", "short_code": "ob", "title": "FAAM C206 ARNA-1 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 FAAM ARNA : Details to come (ARNA-1) project." }, "onlineresource_set": [] }, { "ob_id": 27850, "uuid": "0694824cd39947039dbca6a16cb80720", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c207-aug-19", "numberOfFiles": 43, "volume": 3906732622, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27851, "uuid": "84d5431dc941424ea60ac720c77ce76e", "short_code": "ob", "title": "FAAM C207 ARNA-1 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 FAAM ARNA : Details to come (ARNA-1) project." }, "onlineresource_set": [] }, { "ob_id": 27852, "uuid": "81bcd2b501614e86963d53422c97ab78", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2019/c208-aug-20", "numberOfFiles": 43, "volume": 4823407864, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. 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