Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=6300
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6400", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6200", "results": [ { "ob_id": 25811, "uuid": "5ef879f7cbe04c5da5a338c51df3b5db", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/RG12_10/RG12_10-2012_250_Luton_Bedford", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI Binary formatted, Lidar data are LAS formatted. Image files may be PNG or JPG formatted. Ancillary files may be plain ASCII or PDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 25814, "uuid": "e6f981e1ce1c4f75995b070d7399ca1f", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/RG12_10/RG12_10-2012_206b_Milton_Keynes", "numberOfFiles": 3136, "volume": 894680195455, "fileFormat": "Hyperspectral data are ENVI Binary formatted, Lidar data are LAS formatted. Image files may be PNG or JPG formatted. Ancillary files may be plain ASCII or PDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25815, "uuid": "66513a25354543be9ea7587344cbb87a", "short_code": "ob", "title": "ARSF Flight 2012_206b - For RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_206b).\r\n\r\nData were collected over the Milton Keynes, UK area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 25817, "uuid": "ef269c6ece464e2fa20d7a9abef15c33", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/RG12_10/RG12_10-2012_208_Milton_Keynes", "numberOfFiles": 3833, "volume": 521006672928, "fileFormat": "Hyperspectral data are ENVI Binary formatted, Lidar data are LAS formatted. Image files may be PNG or JPG formatted. Ancillary files may be plain ASCII or PDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25818, "uuid": "c1bd61f95443402d8b34a91eeea903e5", "short_code": "ob", "title": "ARSF Flight 2012_208 - for RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_208).\r\n\r\nData were collected over the Milton Keynes, UK area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 25820, "uuid": "b194b44c28c34b15aea3e607a83bbf6d", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/RG12_10/RG12_10-2012_249_Luton", "numberOfFiles": 1919, "volume": 298262375205, "fileFormat": "Hyperspectral data are ENVI Binary formatted, Lidar data are LAS formatted. Image files may be PNG or JPG formatted. Ancillary files may be plain ASCII or PDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25821, "uuid": "5732da3b616843b19db7ff69598abf2c", "short_code": "ob", "title": "ARSF Flight 2012_249 - for RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Hawk, ARSF Specim AISA Eagle and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_249).\r\n\r\nData were collected over the Luton, UK area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 25823, "uuid": "d3ae7adcb3d14a68ace7a855860df73a", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/RG12_10/RG12_10-2012_250_Luton_Bedford", "numberOfFiles": 2861, "volume": 600287440351, "fileFormat": "Hyperspectral data are ENVI Binary formatted, Lidar data are LAS formatted. Image files may be PNG or JPG formatted. Ancillary files may be plain ASCII or PDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25824, "uuid": "24c097cf77474644a4b3b17286abcd91", "short_code": "ob", "title": "ARSF Flight 2012_250 - for RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_250).\r\n\r\nData were collected over the Bedford, UK area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 25828, "uuid": "4954022a91224e5b8b3cb2966f92ace6", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/helix/mcarthur_index", "numberOfFiles": 13, "volume": 4815577750, "fileFormat": "Data are CF-netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25826, "uuid": "70ac55eb85344c3bb2239ed2d7b7575d", "short_code": "ob", "title": "HELIX: McArthur Forest Fire Danger Index (FFDI) for 2061 - 2070 at 1.5 and 2.0 degrees", "abstract": "The High-End cLimate Impacts and eXtremes (HELIX) project have calculated fire danger for the period 2061 to 2070 under two different climate change scenarios based on the Representative Concentration Scenario (RCP) scenarios used within the World Climate Research Programme's (WCRP) Climate Modelling Intercomparison Project phase 5 (CMIP5) using two Fire Indices, the McArthur Forest Fire Danger Index (FFDI), and the Angstroem Index. This work has been done to assess the change in fire danger at 1.5 degrees compared to 2 degrees Celsius.\r\n\r\nThis dataset presents those from the McArthur Forest Fire Danger Index (FFDI), utilising Met Office Earth System Model HadGEM2-ES model output at a spatial resolution of 1.875° x 1.25°. The original model data were produced and owned by the Met Office. These results have been saved into gridded netCDF files showing global fire risk. The files represent two experimental runs, one is driven by concentrations following the Representative Concentration Scenario (RCP) 2.6, and the second represents a theoretical Solar Radiation Management scenario using a sulphur dioxide aerosol injection to reduce global mean temperature to 1.5 degrees Celsius. There are 4 ensemble members for each experiment: apdib, apdic, apdid and apdie are the ensemble members for the RCP2.6+SRM run; ajnjm, kaadc, kaaec and kaafc are the ensemble members for the standard RCP2.6 run. A period of 10 years 2061-2070 is chosen for this analysis, and this is compared to a present day period of 2006-2015 (files are labelled according to the data period represented). " }, "onlineresource_set": [] }, { "ob_id": 25829, "uuid": "9dcfd34ee5ac4440a56f5d5718bcbf6c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/helix/angstroem_index", "numberOfFiles": 13, "volume": 9626330034, "fileFormat": "Data are CF-netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25827, "uuid": "75a7e567fe2342a493663a7a085d015e", "short_code": "ob", "title": "HELIX: Angström calculated fire risk index for 2061 - 2070 at 1.5 and 2.0 degrees", "abstract": "The High-End cLimate Impacts and eXtremes (HELIX) project have calculated fire danger for the period 2061 to 2070 under two different climate change scenarios based on the Representative Concentration Scenario (RCP) scenarios used within the World Climate Research Programme's (WCRP) Climate Modelling Intercomparison Project phase 5 (CMIP5) using two Fire Indices, the McArthur Forest Fire Danger Index (FFDI), and the Angström Index. This work has been done to assess the change in fire danger at 1.5 degrees compared to 2 degrees Celsius.\r\n\r\nThis dataset presents those from the Angström calculated fire risk index, utilising Met Office Earth System Model HadGEM2-ES model output at a spatial resolution of 1.875° x 1.25°. The original model data were produced and owned by the Met Office. These results have been saved into gridded netCDF files showing global fire risk. The files represent two experimental runs, one is driven by concentrations following the Representative Concentration Scenario (RCP) 2.6, and the second represents a theoretical Solar Radiation Management scenario using a sulphur dioxide aerosol injection to reduce global mean temperature to 1.5 degrees Celsius. There are 4 ensemble members for each experiment: apdib, apdic, apdid and apdie are the ensemble members for the RCP2.6+SRM run; ajnjm, kaadc, kaaec and kaafc are the ensemble members for the standard RCP2.6 run. A period of 10 years 2061-2070 is chosen for this analysis, and this is compared to a present day period of 2006-2015 (files are labelled according to the data period represented). " }, "onlineresource_set": [] }, { "ob_id": 25834, "uuid": "9263a19e757a42f98fb567a6b1348379", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v2-0-2-2017p/", "numberOfFiles": 8118, "volume": 33505955602, "fileFormat": "The data are NetCDF formatted. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25833, "uuid": "3c67dfe728594fadabb920564af4df4a", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2017, v2.0.2.2017p", "abstract": "This is version 2.0.2.2017p of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v2.0.1.2016f to include 2017 and so spans 1931-2017. These data include an update to the station selected and contain 8103 stations. These are the preliminary data for this version, a finalised version will be released in a few months with any station updates.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20171231_v2-0-2-2017p.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." }, "onlineresource_set": [] }, { "ob_id": 25835, "uuid": "0d7c28780b2a4c2fa7a587b94d9da26a", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/fire/data/burned_area/MODIS/pixel/v5.0/compressed/", "numberOfFiles": 1154, "volume": 213336433225, "fileFormat": "The Fire_cci v5.0 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land Cover CCI v1.6.1 product.\r\n\r\nFiles are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25112, "uuid": "9c666602b89e468493e1c907a4de62ff", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Pixel product, version 5.0", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. These MODIS Fire_cci v5.0 pixel products are distributed as 6 continental tiles and are based upon data from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001-2016. This is the first time that MODIS 250m resolution images are used for global burned area (BA) mapping.\r\n\r\nThe Fire_cci v5.0 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land_Cover_cci v1.6.1 product.\r\n\r\nFiles are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation. \r\n\r\nPlease note, a new version of this product (v5.1) is now available." }, "onlineresource_set": [] }, { "ob_id": 25836, "uuid": "89768a4665f04bed8bff18d7911f099a", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/fire/data/burned_area/MODIS/grid/v5.0/", "numberOfFiles": 403, "volume": 37117279164, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25111, "uuid": "f1c9c7aa210d4564bd61ed1a81d51130", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.0", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area developed from satellite observations. The MODIS Fire_cci v5.0 grid products described here are derived from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001 to 2016. This is the first time that MODIS 250m resolution images are used for global burned area (BA) mapping.\r\n\r\nThis dataset is a gridded product, derived from the MODIS Fire_cci v5.0 pixel product by summarising its burned area information into a regular grid covering the Earth for 15-day periods with 0.25 degree resolution. Information on burned area is included in 23 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Land_Cover_cci v1.6.1 product. For further information on the product and its format see the Fire_cci product user guide in the linked documentation.\r\n\r\nPlease note, a new version of this dataset (v5.1) is now available." }, "onlineresource_set": [] }, { "ob_id": 25841, "uuid": "77518b9615a44baa848b6e498a1af90d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/tof-cims_biomass_burning/data", "numberOfFiles": 2, "volume": 197956, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25840, "uuid": "71a34def1d104f1e925f1a6f7d12ac21", "short_code": "ob", "title": "Isocyanate, amide, nitrate and nitro compound measurements from an anthropogenic biomass burning event in Manchester UK during winter 2014", "abstract": "This dataset contains isocyanate, amide, nitrate and nitro compounds measurements from an anthropogenic biomass burning event in Manchester, UK. Measured over an 11 day period in November 2014 using a flight chemical ionisation mass spectrometer (ToF-CIMS). Measurements of NOx and O3 are also included. Data were collected from The Whitworth Meteorological Observatory based at the University of Manchester." }, "onlineresource_set": [] }, { "ob_id": 25843, "uuid": "ff83c11c9bbd434fb46891e6d3d6ebb9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/CAS2", "numberOfFiles": 6331, "volume": 8048810936, "fileFormat": "Data are CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25842, "uuid": "934690a393a34c6f92f3a31143713f3e", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Complejo Astronómico El Leoncito, San Juan, Argentina", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Boltek field meter at Complejo Astronómico El Leoncito, San Juan, Argentina." }, "onlineresource_set": [] }, { "ob_id": 25848, "uuid": "243159a4fd0844f5b9a43a5eb03fbcf7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/CGR", "numberOfFiles": 4153, "volume": 5227298852, "fileFormat": "Data are CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25847, "uuid": "b998d216b95b40828d18b754da46532b", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Paraíba State University, Campina Grande, Paraiba, Brazil", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Boltek field meter at Paraíba State University, Campina Grande, Paraiba, Brazil." }, "onlineresource_set": [] }, { "ob_id": 25853, "uuid": "ed5fd8a097914027a479fb13c173aa7f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/halley", "numberOfFiles": 689, "volume": 79754359, "fileFormat": "Data are CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25852, "uuid": "3c62cd14b63d468582e8fc00ee446595", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Halley Station, Brunt Ice Shelf, Antarctica", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a JCI Chilworth 131 at Halley Station, Brunt Ice Shelf, Antarctica." }, "onlineresource_set": [] }, { "ob_id": 25878, "uuid": "8e01eb9d2e114f85886662f69305c319", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc/data/obs/cru_ts2_1/clim_10", "numberOfFiles": 1433, "volume": 408667604, "fileFormat": "Data are TIF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25879, "uuid": "ec331e93d21347e6bf5fa4b9c68dbd2c", "short_code": "ob", "title": "Climatic Research Unit CRU TS 2.1 dataset of gridded month-by-month observed climate (Jan. 1901- Dec. 2002)", "abstract": "CRU TS2.1: The Climatic Research Unit (CRU) Time-Series (TS) version 2.1 of gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2002). \r\n\r\nThe CRU TS 2.1 dataset is comprised of 1224 monthly grids of observed climate, for the period 1901-2002, covering the global land surface at 0.5 degree resolution. There are nine climate variables available: daily mean, minimum and maximum temperature, diurnal temperature range, precipitation, wet day frequency, frost day frequency, vapour pressure and cloud cover.\r\n\r\nThe primary purpose for this dataset is to provide environmental modellers with some of the inputs they require to run their models. \r\n\r\nThe creator of this data set (Dr. T. D. Mitchell) retains full ownership rights over it. The dataset may be freely used for non-commerical scientific and educational purposes, provided it is described as CRU TS 2.1 and attributed to: Mitchell, T.D., and P.D. Jones (2005): An improved method of constructing a database of monthly climate observations and associated high resolution grids. Int. J. Climatol. 25: 693–712, DOI: 10.1002/joc.1181" }, "onlineresource_set": [] }, { "ob_id": 25885, "uuid": "ec87a2156f8b4bc9834cb7612adb45aa", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/cyclone-dando_lidar/data", "numberOfFiles": 4537, "volume": 12412327041, "fileFormat": "Contours (dgn, dwg), Images (ecw), point cloud (txt)", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25865, "uuid": "a2e82c7f92dc4f389a7fb7e4e6629c9e", "short_code": "ob", "title": "Kruger National Park Rivers LiDAR data (May 2012)", "abstract": "This dataset contains LiDAR and aerial photograph data for the Sabie, Olifants and Letaba rivers in the Kruger National Park, South Africa. The LiDAR and aerial photograph data were collected for the NERC funded project (NE/K001132/1) 'Evaluating and modelling the impact of extreme events on South African dryland rivers: Cyclone Dando (January 2012)'.\r\n\r\nSouthern Mapping Geospatial were commissioned in South Africa to undertake the LiDAR flights for the NERC-funded project. Processed data of point cloud, processed contours, and aerial image files were provided. Data were retrieved using an Optech Orion M200 LiDAR which scanned the ground at 70 kHz, and a Rollei AIC with 60 megapixel P65+ and Phase One digital CCD, flown at 1100m from a Cessna 206. The survey concentrated on three 50 km reaches of the Olifants, Sabie and Letaba rivers surveyed on 30th May 2012, nearly 5 months after a large Cyclone driven flood in January 2012. \r\n\r\nThe folders include:\r\n 1) Index - contains a .dgn file to position data in ArcMap, \r\n 2) Points - contains sub-folders with the raw LiDAR point cloud data; ground points and vegetation at different heights indicated by the folder label \r\n 3) Report - summary report provided by Southern mapping who we commissioned to fly the LiDAR\r\n 4) Contour data in dgn and dwg format, \r\n 5) Image tiles\r\n" }, "onlineresource_set": [] }, { "ob_id": 25890, "uuid": "512aab94199d4315ab3b5755e9369278", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/iasi_so2_oxford/data/monthly_mean/v1.0", "numberOfFiles": 92, "volume": 4535221367, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25886, "uuid": "8eb35b1ab1b2476986d174a2f0231307", "short_code": "ob", "title": "IASI global monthly averages of effective sulphur dioxide (SO2) column amounts, 2007 - 2014, version 1.0", "abstract": "This dataset contains global monthly averaged effective sulphur dioxide (SO2) column amounts derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite. The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Walker et al. (2011, 2012) linear retrieval developed for the Infrared Atmospheric Sounding Interferometer, which is able to detect sulphur dioxide (SO2) gas. This dataset contains monthly averages of this retrieval output from June 2007 to December 2014 across the globe, within which it is possible to identify the period and the location of when we have an anomaly of SO2 in atmosphere. This includes volcanic eruptions alongside non-eruptive volcanic degassing, and human pollution sources. \r\n\r\nWithin the dataset are the average effective SO2 column amounts in Dobson Units (DU) for 0.125º by 0.125º gridboxes across the globe. Also included for each grid box are the standard deviation, and the number of pixel boxes contributing to the mean. The results from this dataset are discussed in Taylor et al. (2018) 'Exploring the utility of IASI for monitoring volcanic SO2 emissions' in review at JGR: Atmospheres." }, "onlineresource_set": [] }, { "ob_id": 25894, "uuid": "277aa8e7d1c04ff6be74cc892c62b0de", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/sushi-wat_snow-maps/data", "numberOfFiles": 31, "volume": 30447071, "fileFormat": "The images are GeoTIFF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25892, "uuid": "62cc25997f58459581879553f3a25e19", "short_code": "ob", "title": "Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat): Monthly maps of wet and dry snow over a Himalayan river basin (January 2015 to July 2017)", "abstract": "This dataset contains monthly maps of dry and wet snow for a Himalayan river basin in northern India. The data were collected as part of the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project aimed at improving our understanding on how water is stored in, and moves through, a Himalayan river system in northern India. \r\n\r\nThe maps were obtained by combining satellite remote sensing images from Sentinel-1 and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resolution of the maps is 500m and the coordinate system is EPSG:4326. The dry snow data correspond to the MODIS land cover product (MCD12Q1). The wet snow data were obtained from Sentinel-1 by applying a -2dB threshold on the backscatter ratio between a Sentinel-1 image with wet snow and a reference Sentinel-1 image with only dry snow. \r\n\r\nThe possible pixel values are: \r\n0: no snow, \r\n1-100: wet snow cover fraction, \r\n101-200: dry snow cover fraction with an offset of 100, \r\n240: missing Sentinel-1 data, \r\n250: pixel wrongly identified as wet snow by Sentinel-1 (false positives), \r\n255: fill value. \r\n\r\nThe images are GeoTIFF formatted." }, "onlineresource_set": [] }, { "ob_id": 25896, "uuid": "76b64674088a4def93b50361e6f71d1f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/acci_JGR_2018/data", "numberOfFiles": 25, "volume": 310100, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25897, "uuid": "3d23afc9bb024c558058749faae4cf2d", "short_code": "ob", "title": "The impact of stratospheric ozone feedbacks on climate sensitivity estimates", "abstract": "Data for each figure presented in the paper 'The impact of stratospheric ozone feedbacks on climate sensitivity estimates', as appeared in Journal of Geophysical Research: Atmospheres in the year 2018.\r\n- The temporal resolution ('temporalResolution'): depends on the variable: annual means or multi-annual-means.\r\n- 'timeslice' climate model simulations using the HadGEM3-AO model from the UK Met Office, coupled to the interactive atmospheric chemistry scheme UKCA. References to model descriptions can be found in the publication. The simulations consist of a pre-industrial control run (A) and several abrupt4xCO2 simulations carried out with different treatments of atmospheric chemistry (B, D1, D2).\r\n- 'umid' is the ID of the simulation, to be read from the stitching table.\r\n- 'variable' names: 'temp': temperature, 'olr': Outgoing longwave radiation at the top of the atmosphere (TOA), 'csolr': same as olr but under clear sky conditions, 'field207': upward clear sky shortwave flux at the TOA, 'field201': Outgoing SW Flux at the TOA, 'tracer1': ozone mass mixing ratios, 'field1426': frozen cloud fraction in each grid cell, 'q': specific humidity, 'u': zonal wind component, 'ht': tropopause height in km following the WMO lapse rate definition.\r\n" }, "onlineresource_set": [] }, { "ob_id": 25911, "uuid": "0a3f70c41c3240e9a968730a55fb5fce", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/ic-cir/data", "numberOfFiles": 4019, "volume": 337179395, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25912, "uuid": "cddfe3093be247d7bac56c9fa9edb3d5", "short_code": "ob", "title": "Identification and classification of Cirrus (IC-CIR): A cirrus classification based on satellite and reanalysis data (2003-2013)", "abstract": "Cirrus clouds play an important role in determining the radiation budget of the earth, but many of their properties remain uncertain, particularly their response to aerosol variations and to warming. Part of the reason for this uncertainty is the dependence of cirrus cloud properties on the cloud formation mechanism, which itself is strongly dependent on the local meteorological conditions. This classification system is designed to identify cirrus clouds by the cloud formation mechanism. Using re-analysis and satellite data, cirrus clouds are separated in four main types: orographic, frontal, convective and synoptic. Comparisons with convection-permitting model simulations and back-trajectory based analysis have shown that this classification can provide useful information on the cloud scale updraughts and the frequency of occurrence of liquid-origin ice, with the convective regime having higher updraughts and a greater occurrence of liquid-origin ice compared to the synoptic regimes (see description paper).\r\nThis classification is designed to be easily implemented in global climate models - the observational classification results are made available make this comparison easier. The classification has been generated globally for the years 2003-2013 inclusive. Making use of the moderate\r\nresolution imaging spectrometer (MODIS) on-board the Aqua satellite, the classification exists only at 13:30 local solar time each day.\r\n\r\nThe regimes used within this classification are defined as follows (further details are given in the description paper)\r\nOrographic - proximity to regions of large-scale topography variation\r\nFrontal - satellite detected cirrus clouds that intersect to atmospheric fronts determined from reanalysis data\r\nConvective - satellite detected cirrus clouds in regions of large scale ascent determined from reanalysis data\r\nSynoptic - Not assigned as one of the other regimes. \r\n\r\nData are gridded NetCDF V4 files, provided on a regular longitude-latitude grid at a 1 by 1 degree resolution across the whole globe. The files provide the classification at 13:30 local solar time (the satellite overpass time) and are at a daily resolution, within a folder defining the year. The filename structure is: {year}/IC-CIR.{year}.{day_of_year}.v1.nc where {year} is the year of the data and {doy of year} starts with 001 on the first of January.\r\nFurther details about the data, including comparisons to convection-resolving model simulations can be found in the description paper (Gryspeerdt et al., ACP, 2018).\r\n" }, "onlineresource_set": [] }, { "ob_id": 25915, "uuid": "f4764cd84a7941b7bd98c8571afa6ca7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CO2_SCI_BESD/v02.01.02/", "numberOfFiles": 3113, "volume": 803971113, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24693, "uuid": "294b4075ddbc4464bb06742816813bdc", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the BESD algorithm (CO2_SCI_BESD), v02.01.02", "abstract": "The CO2_SCI_BESD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (CO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) instrument on board the European Space Agency's (ESA's) environmental research satellite ENVISAT. It has been produced using the Bremen Optimal Estimation DOAS (BESD) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.\r\n\r\nThe Bremen Optimal Estimation DOAS (BESD) algorithm is a full physics algorithm which uses measurements in the O2-A absorption band to retrieve scattering information about clouds and aerosols. This is the Greenhouse Gases CCI baseline algorithm for deriving SCIAMACHY XCO2 data. A product has also been generated from the SCIAMACHY data using an alternative algorithm: the WFMD algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this BESD product. For more information regarding the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.\r\n\r\nFor further information on the product, including details of the BESD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents." }, "onlineresource_set": [] }, { "ob_id": 25917, "uuid": "c3f491e65f1a48fc8f3c6337e49662e7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CO2_SCI_WFMD/v4.0/", "numberOfFiles": 3301, "volume": 1512877508, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25916, "uuid": "e493802d83c846c8b76f817866fb74cc", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the WFMD algorithm (CO2_SCI_WFMD), v4.0", "abstract": "The CO2_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. It has been produced using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.\r\n\r\nThe WFM-DOAS algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. Note that this has been designated as an 'alternative' algorithm for the GHG_cci and another XCO2 product has also been generated from the SCIAMACHY data using the baseline algorithm (the Bremen Optimal Estimation DOAS (BESD) algorithm). It is advised that users who aren't sure whether to use the baseline or alternative product use the product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage. \r\n\r\nThe data product is stored per day in seperate NetCDF-files (NetCDF-4 classic model). The product files contain the key products, i.e. the retrieved column-averaged dry air mole fractions for XCO2, several other useful parameters and additional information relevant to using the data e.g. the averaging kernels. For further information on the product, including details of the WFMD algorithm, the SCIAMACHY instrument and issues associated with the data please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 25919, "uuid": "838ccd51121a4483bd85c77db0831c43", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CO2_GOS_OCFP/v7.0/", "numberOfFiles": 2388, "volume": 1829382960, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25918, "uuid": "9255faeb392f41debf5402caa40dada8", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Column-averaged CO2 from GOSAT generated with the OCFP (UoL-FP) algorithm (CO2_GOS_OCFP), v7.0", "abstract": "The CO2_GOS_OCFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the University of Leicester Full-Physics Retrieval Algorithm, which is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product, generated using the alternative SRFP algorithm, is also available. The OCFP product is considered the GHG_cci baseline product and it is advised that users who aren't sure which of the two products to use, use this product. For more information regarding the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.\r\n\r\nThe XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG)." }, "onlineresource_set": [] }, { "ob_id": 25921, "uuid": "f517b5b36a384f0ab9bda3566c5f6d65", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CO2_GOS_SRFP/v2.3.8/", "numberOfFiles": 2390, "volume": 2415812055, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25920, "uuid": "e61704b00267405082fbd41bb710dd74", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from GOSAT generated with the SRFP (RemoTeC) algorithm (CO2_GOS_SRFP), v2.3.8", "abstract": "The CO2_GOS_SRFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) for carbon dioxide (XCO2), from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the RemoTeC Full Physics (SRFP) algorithm, v2.3.8, by the Greenhouse Gases Climate Change Initiative (GHG_cci) project. This forms part of the GHG_cci Climate Research Data Package Number 4 (CRDP#4).\r\n\r\nThe RemoTeC Full Physics (SRFP) algorithm has been jointly developed at SRON and KIT. A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available, and is considered the GHG_cci baseline product, whilst the SRFP product forms an 'alternative' product. It is advised that users who aren't sure whether to use the baseline or alternative product use the OCFP product. For more information on the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage. \r\n\r\nThe data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key standard products, i.e. the retrieved column averaged dry air mixing ratio XCO2 with bias correction, averaging kernels and quality flags, as well as secondary products specific for the RemoTeC algorithm. For further information, including details of the SRFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document." }, "onlineresource_set": [] }, { "ob_id": 25923, "uuid": "9c80ce657741450bab38a81e128a3569", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/EMMA/CO2/v2.2/", "numberOfFiles": 3894, "volume": 487875592, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25922, "uuid": "9f002827ba7d48f59019fcfd3577a57e", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2", "abstract": "The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the product is v2.2, and forms part of the Climate Research Data Package 4.\r\n\r\nThe EMMA algorithm has been applied to level 2 data from multiple XCO2 retrievals from the Japanese Greenhouse gases Observing Satellite (GOSAT) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. This merged SCIAMACHY and GOSAT XCO2 Level 2 product is primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). \r\n\r\nFor further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR)." }, "onlineresource_set": [] }, { "ob_id": 25925, "uuid": "9f7811aa0691488e83bae7f0da32d76d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CH4_SCI_WFMD/v4.0/", "numberOfFiles": 3211, "volume": 3050499629, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25924, "uuid": "aa09603e91b44f3cb1573c9dd415e8a8", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from SCIAMACHY generated with the WFMD algorithm (CH4_SCI_WFMD), version 4.0", "abstract": "The CH4_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's (ESA's) environmental research satellite ENVISAT, as part of the ESA's Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the data is version 4.0, and forms part of the Climate Research Data Package 4.\r\n\r\nThe Weighting Function Modified DOAS (WFMD) algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. A second product is also available, which has been generated from the SCIAMACHY data using the IMAP algorithm. \r\n\r\nThe data product is stored per day in separate NetCDF-files (NetCDF-4 classic model). The product files contain the key products and other information relevant for the use of the data e.g. the averaging kernels. Note that the results since November 2005 are considered to be of reduced quality in comparison to the earlier results because the extended-wavelength part (1590-1770 nm) of SCIAMACHY's channel 6, covering the methane 2v3 absorption band used for the methane retrieval, is subject to irreversible displacement damage induced by high energy solar protons, which occurs from time to time at individual detector pixels. Therefore several affected detector pixels had to be excluded for the time period since November 2005. \r\n\r\nFor further information on the product, including details of the WFMD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents." }, "onlineresource_set": [] }, { "ob_id": 25927, "uuid": "dc6ba6f6aa2441db82f88db1c20a985d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CH4_SCI_IMAP/v7.2/", "numberOfFiles": 2896, "volume": 4783721146, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25926, "uuid": "8f5623a85d2e4b9b8ab5313f65a7c994", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from SCIAMACHY generated with the IMAP-DOAS algorithm (CH4_SCI_IMAP), v7.2", "abstract": "The CH4_SCI_IMAP dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (CH4). It has been produced using data acquired from the SWIR spectra (channel 6) of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's (ESA's) environmental research satellite ENVISAT using the IMAP-DOAS algorithm. It has been generated as part of ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the dataset is v7.2 and forms part of the Climate Research Data Package 4.\r\n\r\nThe IMAP-DOAS algorithm has been developed at the University of Heidelberg and SRON, and has been applied here to the SCIAMACHY data. This procedure and the algorithms validity are thoroughly described in Frankenberg et al (2011). A second product is also available which has been generated using the Weighting Function Modified DOAS (WFM-DOAS) algorithm. \r\n\r\nThe data product is stored per orbit in a single NetCDF4 file. Retrieval results are provided for the individual SCIAMACHY spatial footprints, no averaging having been applied. The product file contains the key products and information relevant to using the data, such as the vertical layering and averaging kernels. For further details on the product, including the IMAP algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document." }, "onlineresource_set": [] }, { "ob_id": 25929, "uuid": "1df1c5b99e10480b99722d87bd0d373c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_OCPR/v7.0/", "numberOfFiles": 2396, "volume": 4746545381, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25928, "uuid": "f9154243fd8744bdaf2a59c39033e659", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCPR (UoL-PR) Proxy algorithm (CH4_GOS_OCPR), v7.0", "abstract": "This CH4_GOS_OCPR dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4.) The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the OCPR University of Leicester Proxy Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the data is v7.0 and forms part of the Climate Research Data Package 4.\r\n\r\nThis algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals. A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents." }, "onlineresource_set": [] }, { "ob_id": 25931, "uuid": "e7de373be7fa4661b3a9fce857f18159", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_OCFP/v2.1/", "numberOfFiles": 2389, "volume": 2064352355, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25930, "uuid": "56f81895cb094bd8a1638aa12d6c7499", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCFP (UoL-FP) algorithm (CH4_GOS_OCFP), version 2.1", "abstract": "The CH4_GOS_OCFP dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the University of Leicester Full-Physics Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version is version 2.1 and forms part of the Climate Research Data Package 4.\r\n\r\nThe University of Leicester Full-Physics Retrieval Algorithm is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and has been modified for use on GOSAT spectra. A second GOSAT CH4 product, generated using the SRFP algorithm, is also available.\r\n\r\nThe XCH4 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG)." }, "onlineresource_set": [] }, { "ob_id": 25933, "uuid": "fb4a8c31362b47b0a5fd2274c807fd9e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_SRFP/v2.3.8/", "numberOfFiles": 2390, "volume": 2420851993, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25932, "uuid": "46d136149d0a4f1cb8de7efbe8abf4b2", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRFP (RemoTeC) Full Physics algorithm (CH4_GOS_SRFP), version 2.3.8", "abstract": "The CH4_GOS_SRFP dataset is comprised of level 2, column-averaged mole fractiona (mixing ratioa) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra onboard the Japanese Greenhouse gases Observing Satellite (GOSAT) using the SRFP (RemoTec) algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the dataset is v2.3.8 and forms part of the Climate Research Data Package 4.\r\n\r\nThe RemoTeC SRFP baseline algorithm is a Full Physics algorithm. The data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key products with and without bias correction. Information relevant for the use of the data is also included in the data file, such as the vertical layering and averaging kernels. Additionally, the parameters retrieved simultaneously with XCH4 are included (e.g. surface albedo), as well as retrieval diagnostics like retrieval errors and the quality of the fit. \r\n\r\nFor further information on the product, including the RemoTeC Full Physics algorithm and the TANSO-FTS instrument please see the Product User Guide (PUG) or the Algorithm Theoretical Basis Document." }, "onlineresource_set": [] }, { "ob_id": 25935, "uuid": "4363c90778e945ac8639ce9947467287", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_SRPR/v2.3.8/", "numberOfFiles": 2398, "volume": 5413629948, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25934, "uuid": "96d5b75ea29946c5aab8214ddbab252b", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRPR (RemoTeC) Proxy Retrieval algorithm (CH4_GOS_SRPR), version 2.3.8", "abstract": "The CH4_GOS_SRPR dataset is comprised of Level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the RemoTeC SRPR Proxy Retrieval algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the data is version 2.3.8, and forms part of the Climate Research Data Package 4. \r\n\r\nThis Proxy Retrieval product has been generated using the RemoTeC SRPR algorithm, which is being jointly developed at SRON and KIT. This has been designated as an 'alternative' GHG CCI algorithm, and a separate product has also been generated by applying the baseline GHG CCI proxy algorithm (the University of Leicester OCPR algorithm). It is advised that users who aren't sure whether to use the baseline or alternative product use the OCPR product generated with the baseline algorithm. For more information regarding the differences between the baseline and alternative algorithms please see the GHG-CCI data products webpage. \r\n\r\nThe data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. As well as containing the key product, the product file contains information relevant for the use of the data, such as the vertical layering and averaging kernels. The parameters which are retrieved simultaneously with XCH4 are also included (e.g. surface albedo), in addition to retrieval diagnostics like quality of the fit and retrieval errors. For further details on the product, including the RemoTeC algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents." }, "onlineresource_set": [] }, { "ob_id": 25936, "uuid": "2491e8fcfaff47ec87d45ba9fcc06476", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/crdp_4/EMMA/CH4/v1.2/", "numberOfFiles": 1820, "volume": 345696499, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24692, "uuid": "9ed2813d2eda4d958e92ab3ce1ab1fe6", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 Merged Product generated with the EMMA algorithm (CH4_EMMA), version 1.2", "abstract": "The CH4_EMMA dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) for methane (XCH4). It has been produced using the ensemble median algorithm EMMA to several different versions of the Japanes Greenhouse gases Observing Satellite (GOSAT) XCH4 data, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the product is v1.2, and forms part of the Climate Research Data Package 4.\r\n\r\nThe ensemble median algorithm EMMA has been applied to level 2 data of several different retrieval products from the Japanese Greenhouse gases Observing Satellite (GOSAT) This is therefore a merged GOSAT XCH4 Level 2 product, which is primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). \r\n\r\nFor further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR)." }, "onlineresource_set": [] }, { "ob_id": 25949, "uuid": "4cb7b96a29204921baa20810e1f3a528", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/leeds-licor-7500", "numberOfFiles": 1823, "volume": 9405431097, "fileFormat": "Data are CF-compliant netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25950, "uuid": "a3e0f0848a144484bdea833ef01ec834", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): carbon dioxide and water vapour measurements from the University of Leeds LI-COR Li-7500 gas analyzer on board Icebreaker Oden", "abstract": "This dataset contains carbon dioxide and water vapour concentration measurements from the University of Leeds' LI-COR LI-7500 open path gas analyser mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe instrument's sensing head was located on the foremast of Icebreaker Oden, approximately 1 m forward of the sonic anemometer. Note the LiCOR LI-7500 CO2 data are generally not suitable for flux measurements at sea. Only the water vapour signal has been used for flux analysis.\r\n\r\nData times were truncated to match those from the sonic anemometer and the internal lag was corrected for.\r\n\r\nUsers should also note that the instrument's temperature and pressure measurements are made inside the interface box. Temperature is thus likely to be high due to solar heating of box, and pressure will be biased low (box is ~3 m below sensor) and may be subject to dynamic pressure fluctuations resulting from airflow around pressure inlet.\r\n\r\nMeasurements are made at 20 Hz frequency.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 25952, "uuid": "f8dc625634e449ab996552aa3ca47eb7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/leeds-metek-sonic-anemometer", "numberOfFiles": 1836, "volume": 9476841002, "fileFormat": "Data are CF-compliant netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25951, "uuid": "bfa8b9457e1a4cb6aa506316295564b2", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): turbulence wind and sonic temperature measurements from the University of Leeds Metek USA-100 sonic anemometer on board Icebreaker Oden", "abstract": "This dataset contains turbulent winds and sonic temperature measurements by the University of Leeds' Metek USA-100 sonic anemometer during the Arctic Cloud Summer Expedition (ACSE). The ACSE cruise took place in the Arctic during summer 2014. These data were obtained to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nMeasurements were made at 20Hz from which 20-minute average fluxes were then derived.\r\n\r\nThe sonic anemometer was located on the foremast of the Icebreaker Oden ship at 20.58 m above the waterline. Data here includes the raw measurements and fully corrected turbulent winds (motion correction, flow distortion correction, etc), along with sonic temperature. For details of motion and flow distortion see the linked documentation. \r\n\r\nNote that while the Metek anemometer uses a left-handed reference frame, all measurements have been transformed to a right-handed frame here. The anemometer x-axis was rotated 30 deg anticlockwise from ship bow.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 25954, "uuid": "e066b826f4be4378a0c236a23650e46c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/acse/data/leeds-mobotix-cameras", "numberOfFiles": 342158, "volume": 209920948188, "fileFormat": "Images are JPEG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25953, "uuid": "f2566ac78a664a58a23a42e9e45da788", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): University of Leeds Mobotix camera imagery on board Icebreaker Oden", "abstract": "This dataset contains digital imagery from the University of Leed's three 'Mobotix MX-M24M IP' cameras mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These imagery were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe three camera units were mounted pointing in the following directions:\r\n\r\n - Camera 1: pointing to starboard,\r\n - Camera 2: pointing to bow,\r\n - Camera 3: pointing to port.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, "onlineresource_set": [] }, { "ob_id": 25956, "uuid": "94f2ae6ec8944210ad23d46a2cb8a304", "short_code": "result", "curationCategory": "", "dataPath": "/badc/acse/data/leeds-xsens-mti-g-700", "numberOfFiles": 1875, "volume": 16451691663, "fileFormat": "Data are CF-compliant netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25955, "uuid": "f2f4675203d04e4eb269e230633d03db", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): high resolution ship motion data from the University of Leeds XSENS MTi-G-700 attitude and heading reference system on board Icebreaker Oden", "abstract": "This dataset contains high resolution attitude and motion measurements of the Icebreaker Oden ship's motion by the University of Leeds' XSENS MTi-G-700 attitude and heading reference system during the Arctic Cloud Summer Expedition (ACSE). The ACSE cruise took place in the Arctic during summer 2014. These data were obtained to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (Swedish-Russian-US Investigation) holdings - see online resources linked to this record.\r\n\r\nMeasurements were made at 40Hz for inertial measurements and 4Hz for GPS measurements. Though the inertial measurements were used at 20Hz when merged with sonic anemometer, 20 minute final fluxes (see related data within the parent data collection).\r\n\r\nThe XSens MTi-G-700 measures 3-axis accelerations, rotation rates, and magnetic field components as well as GPS position. Internal algorithm calculate 3-axis velocity, tilt angles and heading. However, users of these data should note that it is often not possible to calibrate magnetic field for local platform induced distortions (soft iron and hard iron corrections) resulting in errors in magnetic field and calculated outputs. Additionally, the heading measurements were found to unreliable on the ship.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, "onlineresource_set": [] }, { "ob_id": 25963, "uuid": "a71455191c6748cea16a3b82977ab04b", "short_code": "result", "curationCategory": "", "dataPath": "/badc/acse/data/leeds-kt15-ir", "numberOfFiles": 4, "volume": 625898639, "fileFormat": "Data are CF-compliant netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25960, "uuid": "5f3fe268651e497d936a9893f61a043a", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): surface temperature measurements from the University of Leeds Heitronics KT15.85 infra red radiative temperature sensor on board Icebreaker Oden", "abstract": "This dataset contains surface temperature measurements from the University of Leeds' two Heitronics KT15.85 infra red radiative temperature sensors mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nBoth instruments were mounted to point to starboard, but instrument 1 pointing 45 degrees forward and instrument 2 pointing 45 degrees aft, taking raw measurements at 1Hz. The data contain both the raw measured temperature (t_meas) and a corrected value, adjusted for reflection of thermal radiation from surface. The correction follows that developed by Phil Hignett for a similar sensor on the UK Met Office C130 aircraft : MRF Tech note 28, 1988.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 25965, "uuid": "35bb246e79454db19d1526e49066091d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/acse/data/fmi-vaisala-fd12p", "numberOfFiles": 2, "volume": 6114320, "fileFormat": "Data are CF-compliant netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25964, "uuid": "ed7d19d3be8d43bbb3ae804418fb7bf4", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): visibility and precipitation measurements from the Finnish Meteorological Institute Vaisala FD12P present weather sensor on board Icebreaker Oden", "abstract": "This dataset contains visibility and precipitation measurements from the Finnish Meteorological Institute (FMI) Vaisala FD12P present weather sensor, operated by cruise participants from Stockholm University, on board Icebreaker Oden mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). These data were then prepared by Ian Brooks from the University of Leeds for inclusion in this archive.\r\n\r\nACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data such as these data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nSome outputs from this instrument were used as part of the quality control for some other measurements.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 25969, "uuid": "035a1cc596db4968a0e10973c1254234", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/misu-rotronic-met", "numberOfFiles": 2, "volume": 492646663, "fileFormat": "Data are CF-compliant netCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25968, "uuid": "e4b9bd20c2b144e9a34fb2d0ed2d0333", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): air temperature and relative humidity measurements from the Stockholm University's Rotronic T/RH sensor on board Icebreaker Oden", "abstract": "This dataset contains surface air temperature (T) and relative humidity (RH) measurements from the Meteorologiska Institutionen Stockholms Universitet (MISU) Rotronic T/RH sensor mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nMeasurements were made at 1 Hz frequency and this dataset was prepared for archiving by Ian Brooks, University of Leeds.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 25975, "uuid": "d45fe486e90b40cb8d676366aeb8a49d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISDH/mon/HadISDHTable/r1/v4-0-0-2017f/", "numberOfFiles": 29, "volume": 658599872, "fileFormat": "These data are provided in NetCDF and ASCII formats, descriptors of the file formats are included in Docs.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25974, "uuid": "de33ae6e5b724a41be34d0f107a65ce2", "short_code": "ob", "title": "HadISDH: gridded global monthly land surface humidity data version 4.0.0.2017f", "abstract": "This is the 4.0.0.2017f version of the HadISDH land data. These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2017. \r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format.\r\n\r\nThis version extends the 3.0.0.2016p version to the end of 2017 and constitutes a major update to HadISDH due to a change to using the 1981-2010 period as its climatological reference period both to make it more consistent with other monitoring products and to maximise station coverage now that it uses the larger station database of HadISD2. Users are advised to read the update document in the docs section for full details. This version now uses the 1981-2010 period as its climatological reference period both to make it more consistent with other monitoring products and to maximise station coverage now that it uses the larger station database of HadISD2. \r\n\r\nAdditionally, there has been a small methodological change. Stations with large adjustments made during homogenisation are removed based on thresholds for q (>3g/kg), RH (>15%rh), T (>5degC) and Td (>5degC) rather than just T and Td. This results in 54 stations being removed as opposed to 29 last year. All other processing steps for HadISDH remain identical. \r\n\r\nThe new version of HadISD2 (2.0.2.2017p) has pulled through some historical changes to stations which are passed on to HadISDH. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data. \r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. \r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013." }, "onlineresource_set": [] }, { "ob_id": 25977, "uuid": "a5e11e8e48bf46b69b21fca460e06f13", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v2-0-2-2017f", "numberOfFiles": 8118, "volume": 41328211196, "fileFormat": "The data are NetCDF formatted.\r\n", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25976, "uuid": "acee665e3e664a73b8ad247e99b343d5", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2017, v2.0.2.2017f", "abstract": "This is version 2.0.2.2017f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v2.0.1.2016p to include 2017 and so spans 1931-2017, it replaces the preliminary version (v2.0.2.2017p) as the ISD data for 2017 are now finalised.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20171231_v2-0-2-2017f.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nFor a more detailed description of precipitation see: http://hadisd.blogspot.co.uk/2018/03/precipitation-in-hadisd.html\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." }, "onlineresource_set": [] }, { "ob_id": 25980, "uuid": "07697ed301224f0aa1f0ac13a2c9a4b8", "short_code": "result", "curationCategory": "", "dataPath": "/badc/acse/data/misu-surface-met", "numberOfFiles": 2, "volume": 1822636344, "fileFormat": "Data are CF-compliant netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25979, "uuid": "0af02f899ac14c218706295d3c6d1c4d", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): surface meteorology and radiation measurements from the Stockholm University's automatic weather station on board Icebreaker Oden", "abstract": "This dataset contains surface meteorological measurements including air temperature, relative humidity, surface irradiation and wind measurements from the Meteorologiska Institutionen Stockholms Universitet (MISU) weather station on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThese data came from an automatic weather station installed on the 7th deck of the Icebreaker Oden, approximately 25m above the surface, measuring at 1 Hz frequency. The system was operated by Joe Sedlar who also undertook data quality control and there are several flag variables for T/RH and radiation measurements documenting known data issues - notably when primary measurements have been replaced with those from other sensors, or corrections applied. This version of the dataset was then prepared for archiving with the Centre for Environmental Data Analysis by Ian Brooks, University of Leeds.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 25995, "uuid": "73720c4ed4514b4fb5822c450b192eab", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gerb/data/gerb-1/l2barg", "numberOfFiles": 2, "volume": 1074, "fileFormat": "Data are HDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 33253, "uuid": "f349ccd4a6a6423c8d8efa2dbe07ae69", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 25882, "uuid": "4f4159c6251d49bdbab07fea1e6ffbdb", "short_code": "ob", "title": "GERB-1: Level 2b averaged rectified geolocated radiance and flux data (L2barg)", "abstract": "This dataset contains Level 2b averaged rectified geolocated radiance and flux data (L2barg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB-1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2b ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW (short wave) and TOT (total) GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2b ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF)." }, "onlineresource_set": [ 24580 ] }, { "ob_id": 25997, "uuid": "79ea64b9d6fb4a83934b6b1ea0871617", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/ncas-lidar-dop-1", "numberOfFiles": 2, "volume": 235197174, "fileFormat": "Data are CF-compliant netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25996, "uuid": "ce693b9c237d4e8cb7968ef76dfc9584", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): composite lidar wind profile data from the NCAS AMF Halo Doppler lidar on board Icebreaker Oden", "abstract": "This dataset contains composite lidar wind profile data from the NCAS AMF Halo Doppler lidar mounted on a motion stabilised platform on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 26001, "uuid": "1a7793dee24a4de1ab7f431df85a4ce3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/aphh/data/beijing/birm-filters", "numberOfFiles": 2, "volume": 12841, "fileFormat": "Data NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25984, "uuid": "b9d6fc06b827470783e518e65799384c", "short_code": "ob", "title": "APHH: Chemical composition measurements of PM2.5 particles made at the IAP-Beijing site during the winter campaign", "abstract": "This dataset contains chemical composition measurements of PM2.5 particles made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. \r\n\r\nDaily fine particles were collected on the PTFE (Polytetrafluoroethylene) filters using the Partisol samplers. The filters were then analysed for metals using X-ray fluorescence (XRF) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), and for ion species using Ion Chromatography. Quartz filters were collected by Tisch high vol, samplers and then were analysed for organic and elemental carbons using the DRI Model 2015 Multiwavelength Thermal/Optical Carbon Analyser, and organic tracers using Gas chromatography–mass spectrometry (GC-MS)." }, "onlineresource_set": [] }, { "ob_id": 26006, "uuid": "3b83b6782cdf4304959b184408efbad9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/aphh/data/beijing/birm-smps", "numberOfFiles": 3, "volume": 12607588, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26002, "uuid": "4c2aaf6a80864d70b105e62e3ddbe797", "short_code": "ob", "title": "APHH: Particle number size distribution measurements made at the IAP-Beijing site during the summer campaign", "abstract": "This dataset contains particle number size distribution (PNSD) measurements made at the Institute of Atmospheric Physics land station, Beijing (IAP-Beijing) site during the summer APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. A University of Birmingham Particle Size Magnifier (PSM) and 2 Scanning Mobility Particle Size Spectrometer (SMPS) systems were deployed to measure PNSD from 1.5 to 615 nm.\r\n\r\nThis dataset contains two files. The number file shows the concentration of particles in each size bin, whilst the dN/dlogDp file shows the data as a lognormal function of diameter." }, "onlineresource_set": [] }, { "ob_id": 26008, "uuid": "94d197db85274035881a6f3124304146", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/ncas-radiosonde-2_composites/", "numberOfFiles": 3, "volume": 71005182, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26007, "uuid": "61cd9961ecef43edadae89f842598f47", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): composite temperature, humidity and wind profiles and derived variables from the NCAS AMF radiosondes launched from Icebreaker Oden", "abstract": "This dataset contains composite temperature, humidity and wind profiles, plus derived products, from the National Centre for Atmospheric Science's Atmospheric Measurement Facility (NCAS AMF) radiosondes launched from the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThese data consist of individual radiosonde profiles as 2D time/height fields, with all profiles interpolated onto a fixed vertical grid for ease of analysis/plotting across the outward (leg 1) and return (leg 2) parts of the expedition.\r\n\r\nThe vertical grid used is: 1m step to 5km, 10m step between 5 and 12 km, 50m step between 12 and 20 km. The data also includes derived variables (potential temperature etc).\r\n\r\nBarbara Brooks (NCAS AMF) was responsible for the radiosonde ascents during the voyage and for the original data, whilst Ian Brookes prepared these data for archiving.\r\n\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 26011, "uuid": "21d77e2c8b5e4ab6b11cabecb3719ddc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/sprs-oden-shipnav/", "numberOfFiles": 2, "volume": 134975964, "fileFormat": "Data are CF-compliant NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26010, "uuid": "d23f1cdf560f4ae185d1e008d1eef4b7", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): SPRS Icebreaker Oden ship navigation data", "abstract": "This dataset contains ship navigation data, including speed over group, course, heading etc, fomr the Swedish Polar Research Secretariat's (SPRS) Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThese data are provided as supportive data for use with the other datasets within this collection, helping to account for ship movement during the expedition for later data analysis. These data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Ian Brooks, University of Leeds.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 26022, "uuid": "fc0c87e878504e90aa30ed210f9e2e5b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/composite-shipmotion", "numberOfFiles": 1836, "volume": 7582196718, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26021, "uuid": "da84490d169246d381f59bccdfd143f1", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): composite ship motion data for Icebreaker Oden from on board ship navigation data and University of Leeds' XSens motion sensor package.", "abstract": "This dataset contains combined measurements of platform motion and final velocity and attitude corrections for turbulence measurements on the foremast of Icebreaker Oden utilising data from the ship's navigation unit alongside data from the University of Leeds' XSens motion and heading sensory package. These data include ship speed over group, course, heading etc, for Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe XSens motion pack was mounted at the base of the sonic anemometer, in the same reference frame (rotated 30 deg to port from bow). Rotation angles given in the dataset are with respect to the earth frame, with x-axis positive to east. \r\n\r\nCorrections combine high rate data from the Xsens package with low rate data from the ship navigation system (heading and speed) to derive the full earth-relative platform motion at 20Hz. The motion calculation follows Edson et al. (1988) and Prytherch et al. (2015) - see linked documentation.\r\n\r\nThese data are provided as supportive data for use with the other datasets within this collection, helping to account for ship movement during the expedition for later data analysis. These data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Ian Brooks, University of Leeds.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 26025, "uuid": "89e58359c94a43319574bcfacac09597", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/composite-flux-data", "numberOfFiles": 3, "volume": 4462682, "fileFormat": "Data are CF-compliant NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26024, "uuid": "e58fdade3a6c46bbaae7c53e948dd6d0", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): composite flux data for Icebreaker Oden", "abstract": "This dataset contains provides the final best estimates of fluxes, mean environmental variables and derived transfer coefficient estimates, along with asociated quality control flags, during the Icebreaker Oden voyage durning the Arctic Cloud Summer Expedition (ACSE) in summer 2014. These were calculated based on instrumentation data from the University of Leeds' Metek sonic anemometer, Licor LI-7500 gas analyzer and XSENS MTi-G-700 motion pack, plus mean surface meteorology data provided from the automatic weather station operated on board by the Department of Meteorology, Stockholm University (MISU).\r\n\r\nOther data from the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.\r\n\r\nThe document \"ACSE_turbulent_fluxes_readme.txt\" in the archive contains fuller details of the flux calculations. The final data, prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Ian Brooks, University of Leeds, contain:\r\n\r\n1) The final quality controlled best estimates of 20-min averaged dynamic fluxes, associated mean environmental variables (10m wind, etc), transfer coefficients, and quality control flags.\r\n\r\n2) The raw kinematic fluxes, etc that go into generating (1), along with the quality control variables used in generating the QC flags, and the QC flags.\r\n\r\n3) Other environmental variables (in some cases with duplicates from multiple different sensors) averaged onto the same time base as the flux estimates.\r\n\r\nThe authors note that in all cases a lot of work has been done on quality control and applying suitable corrections to raw measurements. In many cases other choices could have been made, and additional QC measures may need to be applied.\r\n\r\nMost of the work on the flux data processing has been done by John Prytherch, with additional input from Ian Brooks and Dominic Salisbury. Additional work on ancillary data was undertaken by other members of the ACSE science team." }, "onlineresource_set": [] }, { "ob_id": 26027, "uuid": "49e604b2b9e948a4bb2c68d48689cf78", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acse/data/composite-cloud-layer-data", "numberOfFiles": 2, "volume": 6374365, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26026, "uuid": "3b1effa4b6554366b9ad571fc32a6f7d", "short_code": "ob", "title": "Arctic Cloud Summer Expedition (ACSE): composite cloud layer data for Icebreaker Oden", "abstract": "This dataset contains derived cloud layer measurements of Icebreaker Oden utilising data from the National Centre for Atmospheric Science's Atmospheric Measurement Facility's (NCAS AMF) Halo Doppler lidar and NOAA cloud radar on board Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe data provide altitudes of cloud base and top for the first two cloud layers. Cloud base was established from the laser ceilometer (base of liquid cloud) whist he cloud top was established from the cloud radar data. \r\n\r\nWhere fog was detected, the fog top altitude from the radar data is given. Note: it was possible for the radar to detect a cloud top where the laser ceilometer was not able to detecte a cloud base.\r\n\r\nThese data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Ian Brooks, University of Leeds.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] }, { "ob_id": 26032, "uuid": "2d555bbe280f4c1c88eed67fcff61e0d", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/eustace/data/satellite_skin_temperature/UOL/land/MODIS_Aqua/L2/GT_MYG_2P/v2.1/", "numberOfFiles": 2968297, "volume": 27656165756283, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 20086, "uuid": "0f1a958a130547febd40057f5ec1c837", "short_code": "ob", "title": "EUSTACE/GlobTemperature: Global clear-sky land surface temperature from MODIS Aqua on the satellite swath with estimates of uncertainty components, v2.1, 2002-2016", "abstract": "This dataset consists of Land Surface Temperature (LST) data with uncertainty estimates, from the MODIS instrument on NASA's Aqua satellite. It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques. \r\n\r\nThe Level 2 Land Surface Temperature data in this dataset has been retrieved from MODIS Collection 6 L1B calibrated radiances, in the context of the GlobTemperature project, but new uncertainty estimates have been added as part of the EUSTACE project. This version of the LST dataset is v2.1 of the GT_MYG_2P product, with earlier versions produced under the GlobTemperature project. It consists of a complete set of LST and accompanying auxiliary (AUX) datafiles for the MODIS-Aqua mission for the period from 2002 until 2016. An equivalent dataset is also available for MODIS-Terra." }, "onlineresource_set": [] }, { "ob_id": 26041, "uuid": "853332a03cdd47ba80753504bdfec692", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/deep-c/data", "numberOfFiles": 8, "volume": 765525083, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26044, "uuid": "262f973ce9e0445bb4158266ff535f11", "short_code": "ob", "title": "DEEP-C: Derived surface net downward energy and absorbed radiation", "abstract": "This dataset contains derived surface net downward energy and absorbed radiation in support of the Diagnosing Earth's Energy Pathways in the Climate system (DEEP-C) NERC funded project (grant reference NE/K004387/1). The energy fluxes at the top of the atmosphere and surface are reconstructed using satellite observations, ERA-Interim reanalysis, and atmospheric simulations. The data period is from 1985-2015." }, "onlineresource_set": [] }, { "ob_id": 26045, "uuid": "6ef3480ad0844b66a148eccdf4e51f88", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/odysea/", "numberOfFiles": 2, "volume": 827302534, "fileFormat": "The data are provided in a single NetCDF file. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26047, "uuid": "c0c7998800414e46b6823dc75751bb4c", "short_code": "ob", "title": "Envelope field of Northern hemispheric upper tropospheric (300 hPa) quasi-stationary waves (June 1979 to August 2015)", "abstract": "This dataset comprises 12 hourly data of the envelope field of Northern hemispheric upper tropospheric (300 hPa) quasi-stationary waves calculated between1979-06-01 and 2015-08-31. The data were derived as part of the NERC funded ODYSEA project (Ocean Dynamics as Driver of Seasonal to Decadal European Atmospheric variability).\r\n\r\nThe envelope field in this dataset is a phase-independent measure of the wave amplitude and is derived from the meridional wind at 300 hPa of the ERA-Interim reanalysis data. To remove the faster transient signals a 15-day lowpass filter was applied to the meridional wind and then subtracted from a daily climatology. The envelope field allows for the identification of a slowly evolving stationary or slowly moving wave packet.\r\n\r\nFull details of the method are described in the methodology statement that can be found in the docs section." }, "onlineresource_set": [] }, { "ob_id": 26062, "uuid": "91a10b9d181d47e3b7b79986f1a5b69b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/gg/ap", "numberOfFiles": 489, "volume": 151469918949, "fileFormat": "Data are CF-compliant netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26050, "uuid": "7a349024c0eb4bd5a05e7cf75cec16af", "short_code": "ob", "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded monthly mean of daily mean analysed pressure level parameter data (ggap)", "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes monthly mean of daily mean pressure level data on a reduced N256 Gaussian grid." }, "onlineresource_set": [] }, { "ob_id": 26063, "uuid": "d6861ef6bc994b59935fbe0ea9d6a3b3", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/gg/as", "numberOfFiles": 489, "volume": 12548981806, "fileFormat": "Data are CF-compliant NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26051, "uuid": "049fd54bfb2d47c4919fe64268c82020", "short_code": "ob", "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded monthly mean of daily mean analysed surface parameter data (ggas)", "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. 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This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes monthly mean of daily mean potential temperature level data on a reduced N256 Gaussian grid." }, "onlineresource_set": [] }, { "ob_id": 26065, "uuid": "1426aa2411564fa28e49d43676130fd8", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/gg/av", "numberOfFiles": 489, "volume": 1794261128, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26053, "uuid": "0492c33b4d254f6183e1875c20b3b15a", "short_code": "ob", "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded monthly mean of daily mean analysed potential vorticity level parameter data (ggav)", "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes monthly mean of daily mean potential vorticity level data on a reduced N256 Gaussian grid." }, "onlineresource_set": [] }, { "ob_id": 26066, "uuid": "2c6568d6efc4447fb49a4907634c32e5", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/gg/aw", "numberOfFiles": 489, "volume": 10246714192, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26054, "uuid": "ec1dc237f24a4d3aa401b2e0a32c0571", "short_code": "ob", "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded monthly mean of daily mean analysed vertical integral parameter data (ggaw)", "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes monthly mean of daily mean vertical integral level data on a reduced N256 Gaussian grid." }, "onlineresource_set": [] }, { "ob_id": 26068, "uuid": "3d320312f65841fbba2e651768ec6b10", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/gg/fs", "numberOfFiles": 489, "volume": 11780803022, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26067, "uuid": "ebb31e8cccd14e32836e29ddc48e5625", "short_code": "ob", "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded monthly mean of daily mean forecast surface parameter data (ggfs)", "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes monthly mean of daily mean forecast surface level data on a reduced N256 Gaussian grid." }, "onlineresource_set": [] }, { "ob_id": 26070, "uuid": "b59c08f830a14ea78f8fe993fe673cfb", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/gg/fp", "numberOfFiles": 489, "volume": 151469918949, "fileFormat": "Data are CF-compliant NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26069, "uuid": "30bf1d10579c4812800f2daaae951a68", "short_code": "ob", "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded monthly mean of daily mean forecast pressure level parameter data (ggfp)", "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. 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This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes synoptic monthly mean accumulated forecast surface level data on a reduced N256 Gaussian grid. 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This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes synoptic monthly mean analysed pressure level data on a reduced N256 Gaussian grid. 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This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes synoptic monthly mean forecast surface level data on a reduced N256 Gaussian grid. 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This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2010 to April 2017." }, "onlineresource_set": [] }, { "ob_id": 26086, "uuid": "56645b22ab2f42a1b1f91525154d73a8", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/cryosat2/v2.0/SH/", "numberOfFiles": 2339, "volume": 1502767408, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25870, "uuid": "fbfae06e787b4fefb4b03cba2fd04bc3", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from CryoSat-2 on the satellite swath (L2P), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the SH polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2010 to April 2017. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, "onlineresource_set": [] }, { "ob_id": 26087, "uuid": "5d3057d33e684d458028933f5ab92218", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/cryosat2/v2.0/NH/", "numberOfFiles": 49, "volume": 123482862, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25872, "uuid": "ff79d140824f42dd92b204b4f1e9e7c2", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from the CryoSat-2 satellite on a monthly grid (L3C), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area grid for the period November 2010 to April 2017. Data are only available for the NH winter months, October - April." }, "onlineresource_set": [] }, { "ob_id": 26088, "uuid": "ed1861f4b2754e41a504b11882938ac7", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/cryosat2/v2.0/SH/", "numberOfFiles": 79, "volume": 51660904, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25871, "uuid": "48fc3d1e8ada405c8486ada522dae9e8", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from the CryoSat-2 satellite on a monthly grid (L3C), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the SH polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data gridded on a Lambeth Azimuthal Equal Area grid for the period November 2010 to April 2017. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, "onlineresource_set": [] }, { "ob_id": 26089, "uuid": "230fc2a3d7c54f04bf47bd82eb7af712", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v2.0/NH/", "numberOfFiles": 2064, "volume": 2145571127, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25866, "uuid": "54e2ee0803764b4e84c906da3f16d81b", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the winter months of October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012." }, "onlineresource_set": [] }, { "ob_id": 26090, "uuid": "a89c10df7d6144d187c8e62f0d601534", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v2.0/SH/", "numberOfFiles": 3542, "volume": 1732037786, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25869, "uuid": "550d938da3184d0ca44a06a4c0c14ffa", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, "onlineresource_set": [] }, { "ob_id": 26091, "uuid": "6b0c3cbe2b3d4dcda9600fe5948663b8", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/envisat/v2.0/NH/", "numberOfFiles": 70, "volume": 172164847, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25867, "uuid": "f4c34f4f0f1d4d0da06d771f6972f180", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the ENVISAT satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area grid for the period October 2002 to March 2012. Data is only available for the NH winter months, October - April." }, "onlineresource_set": [] }, { "ob_id": 26092, "uuid": "034ccbc2e0ad441a8e2db3733b2a897d", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/envisat/v2.0/SH/", "numberOfFiles": 119, "volume": 78606772, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25868, "uuid": "b1f1ac03077b4aa784c5a413a2210bf5", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area Projection for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, "onlineresource_set": [] }, { "ob_id": 26099, "uuid": "ae6a0093eee143d6aa39e084e8ada7ff", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/grosvenor_modis_droplet_conc/data", "numberOfFiles": 13, "volume": 2000000000, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26100, "uuid": "3e48da590a9644ee9b281492458eb6da", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/grosvenor_modis_droplet_conc/data", "numberOfFiles": 14, "volume": 2461071312, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26102, "uuid": "cf97ccc802d348ec8a3b6f2995dfbbff", "short_code": "ob", "title": "Daily MODIS (MODerate Imaging Spectroradiometer) derived cloud droplet number concentration global dataset for 2003-2015", "abstract": "Daily global cloud droplet number concentrations (Nd) have been calculated at 1x1 degree resolution from pixel-level MODIS (MODerate Imaging Spectroradiometer) Collection 5.1 Joint Level-2 (Aqua satellite) optical depth (tau) and the 3.7 micron effective radius (reff) data (and other supporting data) using the adiabatic cloud assumption (liquid water content increases linearly with height, Nd is constant throughout the cloud depth and the ratio of the volumne mean radius to the effective radius is assumed constant). \r\n\r\nThe Nd data is contained in separate NetCDF files for each year for the period 2003-2015. Nd is contained in the \"Nd\" variable and has units of cm^{-3}. This is a 360x180xNdays (lon x lat x Ndays) sized array, where Ndays is the number of days in the year. The lon x lat grid is a regular 1x1 degree grid. The time is provided as both a 1D array of size Ndays (\"time\") with units of days since 1st Jan, 1970 and an array of size Ndays x 3 (\"time_vec\") that contains numbers for the year month and day for each of the Ndays entries.\r\n \r\nA number of filters have been applied to the data in order to remove retrievals that are likely to be problematic, or to violate the adiabatic cloud assumptions. Data is only included if:\r\n\r\n 1) Pixels are determined to be liquid pixels by MODIS.\r\n 2) The 1x1 degree mean cloud top height (calculated using the MODIS cloud top temperature and the sea surface temperature) is below 3.2km.\r\n 3) The 1x1 degree liquid cloud fraction was larger than 80%.\r\n 4) The 1x1 degree mean solar zenith angle was 65 degrees or less to avoid biases at high angles (Grosvenor and Wood, 2014).\r\n\t\t\t\t\t\t\r\n Note, that the filtering is different to that described in Grosvenor, AMTD, 2018 in the following ways :-\r\n\r\n 1) 1km resolution tau and reff are used to calculate Nd, which is then aggregated to 1x1 degree resolution (rather than using 1x1 degree tau and reff).\r\n 2) Only Nd based on the 3.7 micron reff retrieval is provided here.\r\n 3) No filtering for the presence of sea-ice is done here - it is recommended that this is done if using for high latitudes.\r\n 4) The data here is not restricted to tau>5.\r\n\t\t\t\t\t\t\t\t\t\t\t\t\r\nAlso note that the vertical penetration bias correction described in Grosvenor, AMTD, 2018 is NOT applied here. In addition, as described in the latter paper, further pixel-level screening is performed in order to select high quality data.\r\n\r\nDetails on the reasons for restricting to low solar zenith angles can be found in Grosvenor and Wood, ACP, 2014. Information on the pixel level filtering applied can be found in Grosvenor et al., AMTD, 2018 (noting the differences explained above). A comparison of this dataset with others can be found in Grosvenor et al., Reviews of Geophysics, 2018.\r\n\r\nThis dataset calculates a product that is not provided as standard by MODIS. It uses improved optical depth and effective radius data compared to the standard MODIS Level-3 data since situations (e.g., high solar zenith angles, broken clouds) that have been shown to cause retrieval issues have been filtered out at the Level-2 stage before being averaged into Level-3 droplet concentration data.\r\n" }, "onlineresource_set": [] }, { "ob_id": 26124, "uuid": "bcbcf1faab1e4f52818166fe4fd2129d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-prob/uk/25km", "numberOfFiles": 93036, "volume": 7260791807012, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26112, "uuid": "9f8dfaf790644dbcb2c3f69f409a70d6", "short_code": "ob", "title": "UKCP18 Probabilistic Projections on a 25km grid over the UK for 1961-2100", "abstract": "This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe data represents anomalies with respect to the baseline periods 1961-1990, 1981-2000 and 1981-2010, and cover the period 1 Dec 1960 to 30 Nov 2099. Gridded data on a 25km grid over the United Kingdom, the Isle of Man and the Channel Islands is provided. Further information on this dataset and UKCP18 can be found under UK Climate Projections (UKCP18) guidance and reports in the documentation section.\r\n\r\nThe Probabilistic Projections were updated on 4th August 2022, to make improvements to the methodology to improve: consistency between maximum, minimum and mean temperature; consistency in the downscaling; statistical treatment of precipitation particularly at the wet and dry extremes; representation of annual and decadal variability; and adjustment of the data in the 1981-2000 baseline period to ensure the anomalies average to zero. The combination of the improvements means that all variables are modified to some degree. For more information, please refer to the UKCP news article and the documents it links to under UK Climate Projections News in the documentation section.\r\n\r\nOn 11th February 2025, the Probabilistic Projections were updated to include information at global warming levels. This information is available for each of the RCP scenarios as cumulative distribution frequency data. Further information about this global warming levels data and approach can be found in the relevant UKCP news article and the guidance document it links to under UK Climate Projections News in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26125, "uuid": "150762b444fb4b47b22d5a2f1199fb95", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-prob/uk/region", "numberOfFiles": 3981, "volume": 56654336542, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26114, "uuid": "8eca5b80ee244d9486162e699c5197f5", "short_code": "ob", "title": "UKCP18 Probabilistic Projections by Administrative Regions over the UK for 1961-2100", "abstract": "\"This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe data represents anomalies with respect to the baseline period 1981-2000, and cover the period 1 Dec 1960 to 30 Nov 2099. Data for 16 administrative regions in the UK is provided. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nThe Probabilistic Projections were updated on 4th August 2022, to make improvements to the methodology to improve: consistency between maximum, minimum and mean temperature; consistency in the downscaling; statistical treatment of precipitation particularly at the wet and dry extremes; representation of annual and decadal variability; and adjustment of the data in the 1981-2000 baseline period to ensure the anomalies average to zero. The combination of the improvements means that all variables are modified to some degree. For more information, please refer to the UKCP news article and the documents it links to under UK Climate Projections (UKCP18) news in the documentation section.\r\n\r\nOn 11th February 2025, the Probabilistic Projections were updated to include information at global warming levels. This information is available for each of the RCP scenarios as cumulative distribution frequency data. Further information about this global warming levels data and approach can be found in the relevant UKCP news article and the guidance document it links to under UK Climate Projections (UKCP18) news in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26126, "uuid": "bfd025ffd90140a69db0f8751095b680", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-prob/uk/river", "numberOfFiles": 3981, "volume": 81361203883, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26115, "uuid": "10538cf7a8d84e5e872883ea09a674f3", "short_code": "ob", "title": "UKCP18 Probabilistic Projections by UK River Basins for 1961-2100", "abstract": "This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe data represents anomalies with respect to the baseline period 1981-2000, and cover the period 1 Dec 1960 to 30 Nov 2099. Data for 23 river basin regions in the UK is provided.\r\n\r\nThe Probabilistic Projections were updated on 4th August 2022, to make improvements to the methodology to improve: consistency between maximum, minimum and mean temperature; consistency in the downscaling; statistical treatment of precipitation particularly at the wet and dry extremes; representation of annual and decadal variability; and adjustment of the data in the 1981-2000 baseline period to ensure the anomalies average to zero. The combination of the improvements means that all variables are modified to some degree. For more information, please refer to the UKCP news article and the documents it links to.\r\n\r\nOn 11th February 2025, the Probabilistic Projections were updated to include information at global warming levels. This information is available for each of the RCP scenarios as cumulative distribution frequency data. Further information about this global warming levels data and approach can be found in the relevant UKCP news article and the guidance document it links to." }, "onlineresource_set": [] }, { "ob_id": 26127, "uuid": "3139b283f1f64b45b75ec3157a2ab496", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-prob/uk/country", "numberOfFiles": 3982, "volume": 28418507566, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26116, "uuid": "3d63c07922fd482b9d43394e02c9d3a8", "short_code": "ob", "title": "UKCP18 Probabilistic Projections by UK Countries for 1961-2100", "abstract": "\"This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe data represents anomalies with respect to the baseline period 1981-2000, and cover the period 1 Dec 1960 to 30 Nov 2099. Data for 8 'country' regions in the UK is provided: Channel Islands, England, England and Wales, Isle of Man, Northern Ireland, Scotland, United Kingdom, Wales. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nThe Probabilistic Projections were updated on 4th August 2022, to make improvements to the methodology to improve: consistency between maximum, minimum and mean temperature; consistency in the downscaling; statistical treatment of precipitation particularly at the wet and dry extremes; representation of annual and decadal variability; and adjustment of the data in the 1981-2000 baseline period to ensure the anomalies average to zero. The combination of the improvements means that all variables are modified to some degree. For more information, please refer to the UKCP news article and the documents it links under UK Climate Projections (UKCP18) news in the documentation.\r\n\r\nOn 11th February 2025, the Probabilistic Projections were updated to include information at global warming levels. This information is available for each of the RCP scenarios as cumulative distribution frequency data. Further information about this global warming levels data and approach can be found in the relevant UKCP news article and the guidance document it links to under UK Climate Projections (UKCP18) news in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26128, "uuid": "40b3587c454a41f1ac6475744c54f54f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp18/data/land-gcm/global/60km", "numberOfFiles": 17114, "volume": 29925429832525, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26117, "uuid": "97bc0c622a24489aa105f5b8a8efa3f0", "short_code": "ob", "title": "UKCP18 Global Projections at 60km Resolution for 1900-2100", "abstract": "Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres.\r\n\r\nThis data set provides information on changes in climate across the entire globe from 1900 to 2100 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26129, "uuid": "1122cd1905d4403d9ff8a579a5ade8d5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2018/c074-jan-18", "numberOfFiles": 23, "volume": 1314321886, "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": 26130, "uuid": "0a2f8f3d1b2c4c818f9b8f55f2eeb3e8", "short_code": "ob", "title": "FAAM C074 Instrument Test 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 Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project." }, "onlineresource_set": [] }, { "ob_id": 26133, "uuid": "13ef753f96324a7ea51a309d6bbdd716", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/invicat/data", "numberOfFiles": 2, "volume": 2767364, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26135, "uuid": "9dace73ad8654298aea626b8bde0a782", "short_code": "ob", "title": "Optimised global monthly mean surface flux of ethane (2008-2014) produced using the INVICAT 4D-Var inverse model", "abstract": "This data file contains two sets of optimised global surface fluxes of ethane (C2H6), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. Emissions were produced using an iterative method of optimisation, known as 4D-Var, which minimised the model-observation differences.\r\n\r\nThese surface fluxes are produced as monthly mean values on the (approximately) 5.6 degree horizontal model grid. The associated uncertainty for the flux from each gridcell is also included. \r\n\r\nThe fluxes and uncertainties are global, and cover the period Jan 2008 - Dec 2014.\r\n \r\nThere are two alternative emissions sets, labelled EMIS_ALL and EMIS_ANTH, whilst the uncertainties are labelled ERROR_ALL and ERROR_ANTH, respectively. The two optimised emission estimates are produced through iterative minimisation of model-observation error in INVICAT. In all cases the observations are surface flask samples of ethane produced by by the National Oceanic and Atmospheric Administration’s Global Monitoring Division (NOAA GMD) and the University of Colorado’s Institute of Arctic and Alpine Research (INSTAAR). Whole air samples in flasks are collected weekly to bi-weekly at each site and C2H6 is measured using gas chromatography with a flame ionization detection method.\r\n \r\nThe EMIS_ALL fluxes are produced through variation of all surface emission types (anthropogenic, biomass burning, oceanic and biospheric), whilst the EMIS_ANTH fluxes are produced by only allowing the surface anthropogenic emissions to vary, with prior estimates of other emission types then added back on.\r\n\r\nFlux and uncertainty units are kg(C2H6)/m2/s, and time units are days since January 1st 2008. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in the PDF documentation stored along side this data, as well as in Monks et al., 2018." }, "onlineresource_set": [] }, { "ob_id": 26137, "uuid": "ffcbd8d14737491f8d029f5daf0aa879", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/scm_in/data", "numberOfFiles": 954, "volume": 459132246474, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26140, "uuid": "bf4fb57ac7f9461db27dab77c8c97cf2", "short_code": "ob", "title": "Forcing files for the ECMWF Integrated Forecasting System (IFS) Single Column Model (SCM) over Indian Ocean/Tropical Pacific derived from a 10-day high resolution simulation", "abstract": "This data set consisting of initial conditions, boundary conditions and forcing profiles for the Single Column Model (SCM) version of the European Centre for Medium-range Weather Forecasts (ECMWF) model, the Integrated Forecasting System (IFS). The IFS SCM is freely available through the OpenIFS project, on application to ECMWF for a licence. The data were produced and tested for IFS CY40R1, but will be suitable for earlier model cycles, and also for future versions assuming no new boundary fields are required by a later model. The data are archived as single time-stamp maps in netCDF files. If the data are extracted at any lat-lon location and the desired timestamps concatenated (e.g. using netCDF operators), the resultant file is in the correct format for input into the IFS SCM. \r\n\r\nThe data covers the Tropical Indian Ocean/Warm Pool domain spanning 20S-20N, 42-181E. The data are available every 15 minutes from 6 April 2009 0100 UTC for a period of ten days. The total number of grid points over which an SCM can be run is 480 in the longitudinal direction, and 142 latitudinally. With over 68,000 independent grid points available for evaluation of SCM simulations, robust statistics of bias can be estimated over a wide range of boundary and climatic conditions. \r\n \r\nThe initial conditions and forcing profiles were derived by coarse-graining high resolution (4 km) simulations produced as part of the NERC Cascade project, dataset ID xfhfc (also available on CEDA). The Cascade dataset is archived once an hour. The dataset was linearly interpolated in time to produce the 15-minute resolution required by the SCM. The resolution of the coarse-grained data corresponds to the IFS T639 reduced gaussian grid (approx 32 km). The boundary conditions are as used in the operational IFS at resolution T639. The coarse graining procedure by which the data were produced is detailed in Christensen, H. M., Dawson, A. and Holloway, C. E., 'Forcing Single Column Models using High-resolution Model Simulations', in review, Journal of Advances in Modeling Earth Systems (JAMES).\r\n \r\nFor full details of the parent Cascade simulation, see Holloway et al (2012). In brief, the simulations were produced using the limited-area setup of the MetUM version 7.1 (Davies et al, 2005). The model is semi-Lagrangian and non-hydrostatic. Initial conditions were specified from the ECMWF operational analysis. A 12 km parametrised convection run was first produced over a domain 1 degree larger in each direction, with lateral boundary conditions relaxed to the ECMWF operational analysis. The 4 km run was forced using lateral boundary conditions computed from the 12 km parametrised run, via a nudged rim of 8 model grid points. The model has 70 terrain-following hybrid levels in the vertical, with vertical resolution ranging from tens of metres in the boundary layer, to 250 m in the free troposphere, and with model top at 40 km. The time step was 30 s.\r\n \r\nThe Cascade dataset did not include archived soil variables, though surface sensible and latent heat fluxes were archived. When using the dataset, it is therefore recommended that the IFS land surface scheme be deactivated and the SCM forced using the surface fluxes instead. The first day of Cascade data exhibited evidence of spin-up. It is therefore recommended that the first day be discarded, and the data used from April 7 - April 16.\r\n \r\nThe software used to produce this dataset are freely available to interested users;\r\n 1. \"cg-cascade\"; NCL software to produce OpenIFS forcing fields from a high-resolution MetUM simulation and necessary ECMWF boundary files.\r\n https://github.com/aopp-pred/cg-cascade\r\n Furthermore, software to facilitate the use of this dataset are also available, consisting of;\r\n 2. \"scmtiles\"; Python software to deploy many independent SCMs over a domain. \r\n https://github.com/aopp-pred/scmtiles\r\n 3. \"openifs-scmtiles\"; Python software to deploy the OpenIFS SCM using scmtiles.\r\n https://github.com/aopp-pred/openifs-scmtiles\r\n " }, "onlineresource_set": [] }, { "ob_id": 26144, "uuid": "3a20b2415f724dfd802f2157b053e793", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/bulk-proj/historical", "numberOfFiles": 211, "volume": 146983849105, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26017, "uuid": "610a8d5b32fc4c51b8a2ed64de95ed73", "short_code": "ob", "title": "UKCP18 Historical Simulations of Gridded Sea Surface Elevation around the UK for 1970-2006", "abstract": "\"The data are simulated instantaneous sea surface elevations above time-mean sea level due to tides alone (tideAnom) and due to tide and meteorological surge (tideSurgeAnom). The data were produced by the Met Office Hadley Centre, using data made available by the Swedish Meteorological and Hydrological Institute (SMHI) and the Climate Model Intercomparison Project, phase 5 (CMIP5). The data were produced to investigate the impact of simulated atmospheric storminess change on extreme sea levels. To produce the data, atmospheric winds and pressure from the SMHI Regional Atmospheric Model RCA4 was used to drive the CS3 continental shelf model. The data are the resulting simulated sea surface elevations. Five CMIP5 historical simulations were downscaled in this way: EC-EARTH, HadGEM2-ES, MPI-ESM-LR, IPSL-CM5A-MR, CNRM-CM5. The data covers the period 1970 to 2005, and applies to the UK coast.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26146, "uuid": "21eb20fd32724f7f8b95230bd585536f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/bulk-proj/rcp85", "numberOfFiles": 559, "volume": 390557078739, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26016, "uuid": "9b204cb345994797b9197744d0ef619c", "short_code": "ob", "title": "UKCP18 Future Simulations of Gridded Sea Surface Elevation around the UK for 2007-2100", "abstract": "The data are simulated instantaneous sea surface elevations above time-mean sea level due to tides alone (tideAnom) and due to tide and meteorological surge (tideSurgeAnom). The data were produced by the Met Office Hadley Centre, using data made available by the Swedish Meteorological and Hydrological Institute (SMHI) and the Climate Model Intercomparison Project, phase 5 (CMIP5). The data were produced to investigate the impact of simulated atmospheric storminess change on extreme sea levels. To produce the data, atmospheric winds and pressure from the SMHI Regional Atmospheric Model RCA4 was used to drive the CS3 continental shelf model. The data are the resulting simulated sea surface elevations. Five CMIP5 RCP8.5 simulations were downscaled in this way: EC-EARTH, HadGEM2-ES, MPI-ESM-LR, IPSL-CM5A-MR, CNRM-CM5. The data covers the period 2007 to 2099, and applies to the UK coast.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26148, "uuid": "7c19fd76d52f46ab8020252dd2c90b71", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/event-proj", "numberOfFiles": 7, "volume": 4519981012, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26019, "uuid": "58c393f773504caaad48cdb6310e17b2", "short_code": "ob", "title": "UKCP18 Short Event Case Studies of Historical and Future Sea Surface Elevation around the UK", "abstract": "The data are simulated instantaneous sea surface elevations above time-mean sea level due to tides alone (tideAnom) and due to tide and meteorological surge (tideSurgeAnom). The data were produced by the Met Office Hadley Centre, using data made available by the Swedish Meteorological and Hydrological Institute (SMHI) and the Climate Model Intercomparison Project, phase 5 (CMIP5). The data were produced to investigate the impact of simulated atmospheric storminess change on extreme sea levels. To produce the data, atmospheric winds and pressure from the SMHI Regional Atmospheric Model RCA4 was used to drive the CS3 continental shelf model. The data are the resulting simulated sea surface elevations. Five CMIP5 RCP8.5 simulations were downscaled in this way: EC-EARTH, HadGEM2-ES, MPI-ESM-LR, IPSL-CM5A-MR, CNRM-CM5. The data covers the period 2007 to 2099, and applies to the UK coast.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26150, "uuid": "4cc06c4adfc94b12b1a3886b95fcfa56", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/tide-proj", "numberOfFiles": 22, "volume": 5389618282, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26020, "uuid": "e5297a0c0329426380d4cd6e58c48f45", "short_code": "ob", "title": "UKCP18 Simulated Impact of Mean Sea Level Change on Tidal Characteristics around the UK", "abstract": "The data are simulated instantaneous sea surface elevations above time-mean sea level due to tides alone. The data were produced by the Met Office Hadley Centre. The data were produced to investigate the impact of simulated mean sea level increase on UK coastal tides. To produce the data, the CS3 continental shelf model was used to simulate the tides under various different amounts of mean sea level increase (simulated by simply increasing the bathymetry). The data are the resulting simulated sea surface elevations above the mean sea level. The data covers a period of about 28 days (one spring-neap cycle), and applies to the UK coast.\r\n\r\nThere are several caveats which should be noted when using the ‘UKCP18 Simulated Impact of Mean Sea Level Change on Tidal Characteristics around the UK’ dataset:\r\n1.\tThe spin-up period has been included in the data. It takes about 48 hours to spin up to a realistic tide so users should remove the first 48 hours of data, or conduct their own analysis to assess how much spin-up time to remove, in order to get a realistic representation of the tide.\r\n2.\tA land-sea mask has not been applied to the data so users should take care to ensure they are only using data from sea locations.\r\n3.\tThere is a rim of zeros around the edge of the data which should be ignored.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26152, "uuid": "4a78040de1e84bb6a042bc396cec0f6e", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/skew-trend", "numberOfFiles": 2, "volume": 418201, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26119, "uuid": "fd2eb396a33247aa9945d61e88e63c88", "short_code": "ob", "title": "UKCP18 Time-series Analyses of Sea Surface Elevation around the UK for 2007-2100", "abstract": "The data are simulated 21st century trends in the one-year return level (i.e. the location parameter) of skew surge due to simulated atmospheric storminess change only. No mean sea level change is included. The data were produced to investigate the magnitude of this component of extreme sea level change and to give an estimate of the minimum uncertainty in this component. To produce the data, atmospheric storminess data from five CMIP5 models was downscaled by the Swedish Meteorological and Hydrological Institute regional climate model RCA4 and used to drive the National Oceanography Centre/Met Office storm surge model CS3. The 5 largest simulated skew surges in each year were identified and a 4-parameter joint probability distribution (including a linear trend in location parameter over time) was fitted. The data given here are the trends in the location parameter from 2007 to 2099. By construction the scale parameter does not change and so the same trend applies to all return periods. The data covers the UK coast.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26154, "uuid": "76b74f0b98aa4add91049bc30e12a138", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/msl-proj", "numberOfFiles": 10, "volume": 479836787, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26120, "uuid": "0f8d27b1192f41088cd6983e98faa46e", "short_code": "ob", "title": "UKCP18 21st century time-mean sea level projections around the UK for 2007-2100", "abstract": "The UKCP18 21st century sea level projections are provided as spatially a continuous dataset around the UK coastline. The projections are rooted in CMIP5 climate model simulations and the process-based methods described in IPCC AR5 (Church et al, 2013). The data consist of annual time series of the projected change in the time-mean coastal water level relative to the average value for the period 1981-2000. Projections are available for the RCP2.6, RCP4.5 and RCP8.5 climate change scenarios (Meinshausen et al, 2011). Nine percentiles are provided to characterise the projection uncertainty. The 5th, 50th and 95th percentiles are equivalent to the IPCC AR5 lower, central, and upper estimate of projected sea level change, based on underlying modelling uncertainty.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nThis dataset was updated in March 2023 to correct a minor processing error in the earlier version of the UKCP18 site-specific sea level projections relating to the adjustment applied to convert from the IPCC AR5 baseline of 1986-2005 to the baseline period of 1981-2000. The update results in about a 1 cm increase compared to the original data release for all UKCP18 site-specific sea level projections at all timescales. Further details can be found in the accompanying technical note." }, "onlineresource_set": [] }, { "ob_id": 26155, "uuid": "3ce10b9084a54b988459918499b75a69", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/msl-proj-expl", "numberOfFiles": 10, "volume": 1500450043, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26122, "uuid": "a077f4058cda4cd4b37ccfbdf1a6bd29", "short_code": "ob", "title": "UKCP18 exploratory extended time-mean sea level projections around the UK for 2007-2300", "abstract": "The UKCP18 exploratory extended time-mean sea level projections are provided as spatially a continuous dataset around the UK coastline for the period 2007-2300. These exploratory projections have been devised to be used seamlessly with the UKCP18 21st Century projections and provide very similar values for the period up to 2100. Users should be aware that post-2100 projections have a far greater degree of uncertainty than the 21st Century projections and should therefore be treated as illustrative of the potential future changes. Note that we cannot rule out substantially larger sea level rise in the coming centuries than is represented in the projections presented here. The data consist of annual time series of the projected change in the time-mean coastal water level relative to the average value for the period 1981-2000. Projections are available for the RCP2.6, RCP4.5 and RCP8.5 climate change scenarios (Meinshausen et al, 2011). As with the 21st Century projections, nine percentiles are provided to characterise the projection uncertainty, based on underlying modelling uncertainty. However, users should view these uncertainties with a much lower degree of confidence for the period post-2100.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nThis dataset was updated in March 2023 to correct a minor processing error in the earlier version of the UKCP18 site-specific sea level projections relating to the adjustment applied to convert from the IPCC AR5 baseline of 1986-2005 to the baseline period of 1981-2000. The update results in about a 1 cm increase compared to the original data release for all UKCP18 site-specific sea level projections at all timescales. Further details can be found in the accompanying technical note." }, "onlineresource_set": [] }, { "ob_id": 26161, "uuid": "58b7b34c336e4f589da28d389d70df93", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/tropical_rainfall/data/realistic", "numberOfFiles": 22740, "volume": 11325828430287, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25031, "uuid": "7838d170275d460887b3043de0c71679", "short_code": "ob", "title": "The Organization of Tropical Rainfall: Realistic MetUM model output for convective aggregation studies", "abstract": "This dataset comprises of model output from 25 runs (5 case studies, with 5 runs in each case study) of the Met Office Unified Model (MetUM) in realistic limited-area one-way nesting mode. The output data include values for model fields (e.g. temperature, humidity, winds, pressure) at model grid points over regularly spaced time intervals. These runs were used in a paper on convective aggregation: Holloway (2017, Journal of Advances in Modeling Earth Systems). \r\n\r\nAll runs use the \"\"New Dynamics\"\" dynamical core, MetUM version 7.5, as described in Holloway (2017). The simulations are run with 4-km horizontal grid spacing. They all have a horizontal domain size of 20 degrees latitude X 20 degrees longitude (or 574 X 574 grid points, although the grid points in the outer 8 points on all sides, the \"\"rim\"\", should be discarded before analysis), with 70 vertical levels. All runs are initialised from operational analyses from the European Centre for Medium-Range Weather Forecasting (ECMWF) taken from actual cases. Lateral boundary conditions are comprised of 6-hourly ECMWF analyses, and the model is relaxed to these conditions in and near the outer rim as described in Holloway (2017). Sea surface temperatures (SST) are taken from the initial ECMWF analysis and are held constant in time for the 15 days (but are not constant in space). There are small land regions in four of the case studies which include an interactive land surface model.\r\n\r\nEach simulation was run for 15 days. The model output includes hourly model-level prognostic variables (temperature, specific humidity, pressure, wind components, liquid water, ice water) as well as some model-level increments to temperature and specific humidity. There are also many fields containing surface variables and fluxes (averaged over each hour or every 15 minutes). Note that the \"\"control\"\" simulations have slightly more available data than the other four runs in each of the five case studies.\r\n\r\nThe five case studies are centred on the equator and occur between 2008 and 2010. See Holloway (2017) for further details:\r\nhttp://onlinelibrary.wiley.com/doi/10.1002/2017MS000980/full \r\n\r\n\r\nFor each case, there are five runs:\r\n1) control (interactive radiation, interactive surface fluxes)\r\n2) constant radiative cooling run (radiative cooling over sea points is prescribed from domain-time mean of control run)\r\n3) constant surface flux run (surface latent and sensible heat fluxes over sea points are prescribed from domain-time mean of control run)\r\n4) constant radiative cooling and constant surface flux run (combination of 2 and 3 above)\r\n5) no rain evaporation run (rain is prevented from evaporating in the atmosphere)\"\r\n" }, "onlineresource_set": [] }, { "ob_id": 26162, "uuid": "6dc0cec630dc4059b9f24ea8b94d65a5", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2017/tropical_rainfall/data/idealised", "numberOfFiles": 36853, "volume": 2160333196526, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25029, "uuid": "2499ca660bc448f281ff1a1de1d20970", "short_code": "ob", "title": "The Organization of Tropical Rainfall: Idealised MetUM model output for convective aggregation studies", "abstract": "This dataset comprises of model output from 11 runs of the Met Office Unified Model (MetUM) in idealised radiative-convective equilibrium mode. All runs have fixed constant sea surface temperature (SST) and doubly-periodic lateral boundary conditions. These runs were used in several papers on convective self-aggregation: principally in Holloway and Woolnough (2016, Journal of Advances in Modeling Earth Systems) but also in Holloway (2017, Journal of Advances in Modeling Earth Systems).\r\n\r\nAll runs use the \"New Dynamics\" dynamical core, MetUM version 7.5, as described in Holloway and Woolnough (2016). The simulations are run with 4-km horizontal grid spacing. They all have a horizontal domain size of 576 km X 576 km (or 144 X 144 grid points), with 70 vertical levels. They were all run for 40 days except for the two runs with lower Sea Surface Temperatures, SSTs (295 K and 290 K) which were run for only 20 days.\r\n\r\nThe model output includes hourly model-level prognostic variables (temperature, specific humidity, pressure, wind components, liquid water, ice water) as well as some model-level increments to temperature and specific humidity. There are also many fields containing surface variables and fluxes (averaged over each hour or every 15 minutes).\r\n" }, "onlineresource_set": [] }, { "ob_id": 26167, "uuid": "d9dcce67c8bd4051ae3a1754dfc272a8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/robust-storm-track/data/era-20c", "numberOfFiles": 23, "volume": 2659023853, "fileFormat": "Data are txt formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26093, "uuid": "100dd91da981445fa4a350cc9cfe60bf", "short_code": "ob", "title": "Re-analysis ERA-20C European winter extra-tropical cyclone tracks 1900-2010", "abstract": "This dataset contains winter (October-March) extra-tropical cyclone tracks generated by TRACK (Hodges 1994, 1995, 1999) that pass through a Western European domain from the ERA-20C (1900-2010). The tracks were filtered to retain those that travelled 1000km and lasted 2 days. Fields referenced to the tracks are: mean sea-level pressure (min within 5 degrees), 925hPa windspeed (max within 6 degrees), precipitation (max within 5 degrees), 700hPa vertical velocity (min within 5 degrees), 925hPa land-windspeed (max within 6 degrees), precipitation (area average over 5 degrees).\r\n\r\nThis data was collected as part of Robust Spatial Projections for the Real World (Real Projections) NERC (Natural Environment Research Council) NE/N018486/1.\r\n\r\nFor files with the naming convention:\r\n\r\n[Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip.new_1000km2dayfiltered[_RealProjregion2filtered_maxlandwindsinregion].txt\r\n\r\n\r\nThe track files contain a 5 line header. The information in the body of the file gives:\r\n1. Date and time (YYYYMMDDHH).\r\n2. Longitude of relative vorticity maximum (degrees).\r\n3. Latitude of relative vorticity maximum (degrees).\r\n4. Relative vorticty at T42 resolution (x10-5 s-1).\r\n5. Longitude of associated MSLP minimum (degrees).\r\n6. Latitude of associated MSLP minimum (degrees).\r\n7. MSLP minimum (hPa).\r\n8. Longitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees).\r\n9. Latitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees).\r\n10. 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (ms-1).\r\n11. Longitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n12. Latitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n13. Precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1)\r\n14. Longitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees)\r\n15. Latitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees)\r\n16. 700hPa vertical velocity minimum within a 5 degree radius of vorticity maximum (ms-1)\r\n17. Longitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees).\r\n18. Latitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees).\r\n19. 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (ms-1).\r\n20. Precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)\r\n\r\nThe [_RealProjregion2filtered_maxlandwindsinregion] refers to data that has been filtered to those storms that have their maximum 925hPa windspeed over land in the region. The add[field] refers to which field, and the order, in which the meteorological fields have been referenced to the vorticity centres.\r\n\r\n\r\nFor files with the naming convention:\r\n\r\n[Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip_addmax5cmorph_addavg5cmorph.new_1000km2dayfiltered_RealProjregion2filtered_maxlandwindsinregion.txt\r\n\r\n(i.e. these include two additional fields for a smaller temporal range)\r\n\r\nThe same track information as above in included, plus:\r\n\r\n21. Longitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n22. Latitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n23. CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1)\r\n24. CMORPH precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)" }, "onlineresource_set": [] }, { "ob_id": 26168, "uuid": "429eac4db57046d5811af0393e701c64", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/robust-storm-track/data/era-interim", "numberOfFiles": 5, "volume": 284636020, "fileFormat": "Data are txt formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26094, "uuid": "421688bf376b41b884246b34bd274356", "short_code": "ob", "title": "Re-analysis ERA-Interim European winter extra-tropical cyclone tracks 1979-2010", "abstract": "This dataset contains winter (October-March) extra-tropical cyclone tracks generated by TRACK (Hodges 1994, 1995, 1999) that pass through a Western European domain from the ERA-Interim (1979-2010). The tracks were filtered to retain those that travelled 1000km and lasted 2 days. Fields referenced to the tracks are: mean sea-level pressure (min within 5 degrees), 925hPa windspeed (max within 6 degrees), precipitation (max within 5 degrees), 700hPa vertical velocity (min within 5 degrees), 925hPa land-windspeed (max within 6 degrees), precipitation (area average over 5 degrees).\r\n\r\nThis data was collected as part of Robust Spatial Projections for the Real World (Real Projections) NERC (Natural Environment Research Council) NE/N018486/1.\r\n\r\nFor files with the naming convention:\r\n\r\n[Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip.new_1000km2dayfiltered[_RealProjregion2filtered_maxlandwindsinregion].txt\r\n\r\n\r\nThe track files contain a 5 line header. The information in the body of the file gives:\r\n1. Date and time (YYYYMMDDHH).\r\n2. Longitude of relative vorticity maximum (degrees).\r\n3. Latitude of relative vorticity maximum (degrees).\r\n4. Relative vorticty at T42 resolution (x10-5 s-1).\r\n5. Longitude of associated MSLP minimum (degrees).\r\n6. Latitude of associated MSLP minimum (degrees).\r\n7. MSLP minimum (hPa).\r\n8. Longitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees).\r\n9. Latitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees).\r\n10. 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (ms-1).\r\n11. Longitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n12. Latitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n13. Precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1)\r\n14. Longitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees)\r\n15. Latitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees)\r\n16. 700hPa vertical velocity minimum within a 5 degree radius of vorticity maximum (ms-1)\r\n17. Longitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees).\r\n18. Latitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees).\r\n19. 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (ms-1).\r\n20. Precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)\r\n\r\nThe [_RealProjregion2filtered_maxlandwindsinregion] refers to data that has been filtered to those storms that have their maximum 925hPa windspeed over land in the region. The add[field] refers to which field, and the order, in which the meteorological fields have been referenced to the vorticity centres.\r\n\r\n\r\nFor files with the naming convention:\r\n\r\n[Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip_addmax5cmorph_addavg5cmorph.new_1000km2dayfiltered_RealProjregion2filtered_maxlandwindsinregion.txt\r\n\r\n(i.e. these include two additional fields for a smaller temporal range)\r\n\r\nThe same track information as above in included, plus:\r\n\r\n21. Longitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n22. Latitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n23. CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1)\r\n24. CMORPH precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)" }, "onlineresource_set": [] }, { "ob_id": 26169, "uuid": "936a30c3c1954cb99214cf5ea32fafad", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/robust-storm-track/data/ncep-cfs", "numberOfFiles": 5, "volume": 307311552, "fileFormat": "Data are txt formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26095, "uuid": "994193d395314c9fa33bdd38364f5171", "short_code": "ob", "title": "Re-analysis NCEP-CFS European winter extra-tropical cyclone tracks 1979-2010", "abstract": "This dataset contains winter (October-March) extra-tropical cyclone tracks generated by TRACK (Hodges 1994, 1995, 1999) that pass through a Western European domain from NCEP-CFS (1979-2010). The tracks were filtered to retain those that travelled 1000km and lasted 2 days. Fields referenced to the tracks are: mean sea-level pressure (min within 5 degrees), 925hPa windspeed (max within 6 degrees), precipitation (max within 5 degrees), 700hPa vertical velocity (min within 5 degrees), 925hPa land-windspeed (max within 6 degrees), precipitation (area average over 5 degrees).\r\n\r\nThis data was collected as part of Robust Spatial Projections for the Real World (Real Projections) NERC (Natural Environment Research Council) NE/N018486/1.\r\n\r\nFor files with the naming convention:\r\n\r\n[Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip.new_1000km2dayfiltered[_RealProjregion2filtered_maxlandwindsinregion].txt\r\n\r\n\r\nThe track files contain a 5 line header. The information in the body of the file gives:\r\n1. Date and time (YYYYMMDDHH).\r\n2. Longitude of relative vorticity maximum (degrees).\r\n3. Latitude of relative vorticity maximum (degrees).\r\n4. Relative vorticty at T42 resolution (x10-5 s-1).\r\n5. Longitude of associated MSLP minimum (degrees).\r\n6. Latitude of associated MSLP minimum (degrees).\r\n7. MSLP minimum (hPa).\r\n8. Longitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees).\r\n9. Latitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees).\r\n10. 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (ms-1).\r\n11. Longitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n12. Latitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n13. Precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1)\r\n14. Longitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees)\r\n15. Latitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees)\r\n16. 700hPa vertical velocity minimum within a 5 degree radius of vorticity maximum (ms-1)\r\n17. Longitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees).\r\n18. Latitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees).\r\n19. 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (ms-1).\r\n20. Precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)\r\n\r\nThe [_RealProjregion2filtered_maxlandwindsinregion] refers to data that has been filtered to those storms that have their maximum 925hPa windspeed over land in the region. The add[field] refers to which field, and the order, in which the meteorological fields have been referenced to the vorticity centres.\r\n\r\n\r\nFor files with the naming convention:\r\n\r\n[Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip_addmax5cmorph_addavg5cmorph.new_1000km2dayfiltered_RealProjregion2filtered_maxlandwindsinregion.txt\r\n\r\n(i.e. these include two additional fields for a smaller temporal range)\r\n\r\nThe same track information as above in included, plus:\r\n\r\n21. Longitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n22. Latitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees)\r\n23. CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1)\r\n24. CMORPH precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)" }, "onlineresource_set": [] }, { "ob_id": 26190, "uuid": "c42354602008458d8fa5cf31fcfd6bf8", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/beijing/leeds-hcho", "numberOfFiles": 3, "volume": 2366262, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26183, "uuid": "7b9c3b7d3f554f48b9082bc4dcc9607c", "short_code": "ob", "title": "APHH: Formaldehyde (HCHO) measurements made at the IAP-Beijing site during the winter and summer campaigns", "abstract": "This dataset contains measurements of formaldehyde using laser induced fluorescence (LIF) made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter and summer campaigns for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. \r\n\r\nFormaldehyde concentration measurements in pptv were made using the Leeds Formaldehyde instrument which uses off-resonance laser induced fluorescence at 353 nm to detect ambient formaldehyde. The instrument was calibrated at regular intervals during the campaign using a commercial permatube containing paraformaldehyde." }, "onlineresource_set": [] } ] }