Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=2400
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=2500", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=2300", "results": [ { "ob_id": 12306, "uuid": "02c15744f0f84abd8f342385dc57bcb3", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/nextmap/by_product/dtm50", "numberOfFiles": 24482, "volume": 442548866, "fileFormat": "Data are ArcInfo Binary Grid formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12305, "uuid": "f5d41db1170f41819497d15dd8052ad2", "short_code": "ob", "title": "NEXTMap British Digital Terrain 50m resolution (DTM10) Model Data by Intermap", "abstract": "This dataset consists of the Digital Terrain Model 50m resolution data (DTM10) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 50m and cover the British Isles." }, "onlineresource_set": [] }, { "ob_id": 12308, "uuid": "cbf8f114437d42248612b6ae43b1a604", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/nextmap/by_product/dtme", "numberOfFiles": 26931, "volume": 36668508622, "fileFormat": "Data are ArcInfo Binary Grid formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12307, "uuid": "86ff73ef1b8c4fda83959694360622bd", "short_code": "ob", "title": "NEXTMap British Enhanced Digital Terrain (DTME) Model Data by Intermap", "abstract": "This dataset consists of the Enhanced Digital Terrain Model (DTME) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles, but have been manually edited to remove embankments etc.)." }, "onlineresource_set": [] }, { "ob_id": 12310, "uuid": "e6d14c6dee784645a375379a4c0a1683", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/nextmap/by_tile/", "numberOfFiles": 1, "volume": 825, "fileFormat": "Data are either ArcInfo Binary Grid formatted or GeoTIFF image files", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12309, "uuid": "884e63e1c8e8476d8174825741e60f6a", "short_code": "ob", "title": "Intermap NEXTMap British Data by OS Grid Tile", "abstract": "This dataset links together all NEXTMap products by OS Grid tile - e.g. the sn60 directory brings together links various products from the OS Grid covering the Bristol Channel. These data products are on various resolutions and include the following products:\r\n\r\nDifference model (dsm - dtm) Data\r\nDigital Surface Model (DSM) Data \r\nDigital Terrain 10m resolution (DTM10) Model Data \r\nDigital Terrain 50m resolution (DTM10) Model Data \r\nDigital Terrain (DTM) Model Data \r\nEnhanced Digital Terrain (DTME) Model Data\r\nOrthorectified Radar Image (ORI)" }, "onlineresource_set": [] }, { "ob_id": 12311, "uuid": "7e7bb30bcd924d35b4e7bc4c71863d19", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/hadgem1-2/pred", "numberOfFiles": 41503, "volume": 2851388566559, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12312, "uuid": "2c6cb5a4a03f45edac5756222dacdae2", "short_code": "ob", "title": "HadGEM1-2 model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\nLand component, Frequency: Monthly.\r\n\r\nVariables Atmosphere daily:\r\npr psl sfcWind sfcWindmax snw tas tasmax tasmin ts uas vas zg\r\n\r\nVariables Atmosphere monthly:\r\nbmelt clt hfls hur hus prc prw psl rldscs rlus rlutcs rsdscs rsus rsut sci snw tas tauv ua va wap cl evspsbl hfss hurs pr prsn ps rlds rlns rlut rsds rsdt rsuscs rsutcs sfcWind ta tauu ts uas vas zg\r\n\r\nVariables Land monthly:\r\ngpp mrlsl mrro mrros mrsos tsl\r\n\r\nVariables Ocean daily:\r\nsic sim sit snd usi vsi\r\n\r\nVariables Ocean monthly:\r\ndsicdtadv dsitdtadv friver hfsifrazil meadtemp prsn sic sit snoToIce sos tos usi vsi wfonocorr\r\ndsicdtthd dsitdtthd fsitherm meadsal mlotst sblsi sim snd so thetao uo vo wfo" }, "onlineresource_set": [ 5729 ] }, { "ob_id": 12331, "uuid": "3507820f4d5b4bbbac2a6e04524851d2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/S1_SLC/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data is in a binary data format. The quick look images are in png format. The manifest file with relevant metadata is in SAFE format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12332, "uuid": "474a3cdd6f9a4df5bfd175c114b45f1f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/EW/S1_GRD/HR/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "The image data files are in a binary file format. The quicklook images are in png format. The manifest file with relevant metadata is in SAFE format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12333, "uuid": "7499d2cfef624d64bc86779429890d5d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/EW/S1_GRD/MR/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12334, "uuid": "1a2ee7728d144b80a74874d0b6bdd326", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/EW/L1_GRD/m/IPF_v2", "numberOfFiles": 534530, "volume": 34011423571562, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12329, "uuid": "ca2641a75ea847f7beb38d4e15a282db", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Ground Range Detected (GRD) Medium Resolution (MR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12335, "uuid": "84d3548ae86b49b4aeaf39fcea70fd5b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/EW/L1_GRD/HR/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12336, "uuid": "19f9b3f0f2c142729eb7895ef6469dc9", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/EW/L1_GRD/h/", "numberOfFiles": 2, "volume": 1001, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12330, "uuid": "500608c3f0e9428eb624b6bfb6ecf5a8", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Ground Range Detected (GRD) High Resolution (HR) C-band Synthetic Aperture Radar (SAR) data from the Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are provided by the European Space Agency (ESA) and made available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12337, "uuid": "39448543613a4a4f9a784b9b071844be", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/EW/L1_SLC/", "numberOfFiles": 2, "volume": 988, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12328, "uuid": "d15f6b1a597444ddbd04718e51e71f0b", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Single Look Complex (SLC) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12338, "uuid": "c54b977002fb42c8966dda1c859424b2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/IW/L1_GRD/m/", "numberOfFiles": 2, "volume": 1015, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12327, "uuid": "683517e0d1e94899a47ecbc2c8291cae", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Interferometric Wide swath (IW) Ground Range Detected (GRD) Medium Resolution (MR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK.\r\n\r\n" }, "onlineresource_set": [] }, { "ob_id": 12339, "uuid": "d025b028987747c0a5dc353485296373", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/IW/L1_GRD/h/", "numberOfFiles": 1285190, "volume": 259106617087004, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12326, "uuid": "ce77e331994a400bb0512d27443874cd", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Interferometric Wide swath (IW) Ground Range Detected (GRD) High Resolution (HR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12340, "uuid": "627f138f912540a18d01bbe2c451840e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/IW/L1_SLC/IPF_v2", "numberOfFiles": 3091770, "volume": 2611783788591289, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12325, "uuid": "f7014a8d35b648a5983a681fa346d8fc", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Single Look Complex (SLC) Level 1 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains level 1 Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nThe IW SLC product contains one image per sub-swath, per polarisation channel, for a total of three or six images. Each sub-swath image consists of a series of bursts, where each burst was processed as a separate SLC image. The individually focused complex burst images are included, in azimuth-time order, into a single sub-swath image, with black-fill demarcation in between\r\n\r\nUnlike SM and WV SLC products, which are sampled at the natural pixel spacing, the images for all bursts in all sub-swaths of an IW SLC product are re-sampled to a common pixel spacing grid in range and azimuth. The resampling to a common grid eliminates the need for further interpolation in case, in later processing stages, the bursts are merged to create a contiguous ground range, detected image.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, "onlineresource_set": [] }, { "ob_id": 12341, "uuid": "340db9cc2c3a4858878e57504523fbce", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/IW/L1_GRD/MR/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12342, "uuid": "3c6fc6cc52ca44c1919fdcf925e27413", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/L1_SLC/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12343, "uuid": "9b4e25f2f818436a911f41ad1a3af2ba", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/IW/L1_SLC/MR/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12344, "uuid": "65fe43cb08b64952859044602f327c01", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/S1_GRD/MR/IPF_v2", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12345, "uuid": "e00ef0ddda274af0b9691e7497769a3e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/L1_GRD/m/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12324, "uuid": "2826e79cfbc94aa28fccfbe1cfb16dac", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Stripmap (SM) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) Medium Resolution (MR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12346, "uuid": "6a7f48a057fa4885843a6430109f5be2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/L1_GRD/h/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12323, "uuid": "c634826aeca248d09d0e03e3a0cd97e4", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Stripmap (SM) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) High Resolution (HR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12347, "uuid": "ba6083f6e7d7495a8c959f19a53a5c66", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/L1_GRD/f/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12322, "uuid": "d170a0de0c89436f971e2bca6a3b1f36", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Stripmap (SM) mode Ground Range Detected (GRD) Full Resolution (FR) Level 1 data", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) Full Resolution (FR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, "onlineresource_set": [] }, { "ob_id": 12348, "uuid": "8abf29d61b1b40799c88e54c0e40bfe2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/SM/L1_SLC/IPF_v3/", "numberOfFiles": 8111, "volume": 4229129545305, "fileFormat": "Image data files are in a binary format. Quicklook images are in png format. Manifest files with relevant metadata are in SAFE format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12315, "uuid": "56ba0755afc54c1ba88e1ca73dcf2df5", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): SM mode SLC Level 1 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nStripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing.\r\n\r\nThese data are available via CEDA to any registered user." }, "onlineresource_set": [] }, { "ob_id": 12355, "uuid": "2fa08435a01d4e5c898932709e7a3921", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/stormsrisk/data/diamet/met-office-aws", "numberOfFiles": 44332, "volume": 13750246180, "fileFormat": "Data CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12287, "uuid": "2650bf4c96dc421c931ac3e6b69ca9ed", "short_code": "ob", "title": "DIAMET: Met Office Automatic Weather Stations (AWS) measurements", "abstract": "The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.\r\n\r\nThis dataset contains minute resolution meteorological measurements by the Met Office Automatic Weather Stations (AWS) during the DIAMET intensive observation campaigns." }, "onlineresource_set": [] }, { "ob_id": 12356, "uuid": "e1bacdb121d148f6892488f482ec683b", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/stormsrisk/data/diamet/ukmo-nimrod-data", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are stored in Met Office NIMROD format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 5768 ] }, { "ob_id": 12357, "uuid": "a1ebb476449048969a08409234fff4c1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/stormsrisk/data/diamet/radiosondes", "numberOfFiles": 0, "volume": 0, "fileFormat": "ASCII text files", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 5769 ] }, { "ob_id": 12367, "uuid": "57d0d9a696984b65aecd57164ee46120", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/landsat8", "numberOfFiles": 0, "volume": 0, "fileFormat": "GeoTIFF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12369, "uuid": "74e563026f01414f9ba6bf1fdd30f7e1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp09/data/marine/minerva/dataset1", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12374, "uuid": "1e2a90f54960456abd96e04276d011b2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/MIROC5-2/pred", "numberOfFiles": 9475, "volume": 1268386313405, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12373, "uuid": "a61fc5c5fcb54f02b35019d8de941cae", "short_code": "ob", "title": "Model for Interdisciplinary Research on Climate (MIROC) 5.2 model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\ntas uas vas zg500\r\n\r\nVariables Atmosphere monthly:\r\ncl clt evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs snc ta tauu ua va wap cli clw hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind snw tas tauv uas vas zg500\r\n\r\nVariables Ocean daily:\r\nsic sit smelt snd tmelt transix transiy tsice usi vsi\r\n\r\nVariables Ocean monthly:\r\nfriver mlotst msftmyza msftmyzg msftmyzp rhopoto sic sit smelt snd so sos thetao tmelt tos transix transiy tsice uo usi vo vsi" }, "onlineresource_set": [ 5800 ] }, { "ob_id": 12376, "uuid": "56a5545089f84e078f9fe09b50da4f66", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/mpiesm/pred", "numberOfFiles": 29590, "volume": 1719960955477, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12375, "uuid": "ef3353d179e848fba4da4fdd4d6664e6", "short_code": "ob", "title": "MPI-ESM model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\nrsnssi snw tas tsice zg500\r\n\r\nVariables Atmosphere monthly:\r\nalsom ameltfrac cli clw evspsbl hfls htae hus prc prw rlds rlut rsds rsnscs rsut sfcWind sicepdw ta tsicepdi va wtae ameltdepth cl clt dewts friver hfss htan pr prsn psl rlus rlutcs rsdt rsus rsutcs sicepdi snw tas ua wap wtan\r\n\r\nVariables Ocean daily:\r\nsic sit snd transix transiy usi vsi\r\n\r\nVariables Ocean monthly:\r\nbsit bthetao dsicdtadv dsitdtadv flum hfxba hfy hfydiff msftmyza msftmyzp sic snd sos thkcello transix uo vo bsnd bthkcello dsicdtthd dsitdtthd hfx hfxdiff hfyba mlotst msftmyzg rhopoto sit so thetao tos transiy usi vsi" }, "onlineresource_set": [ 5801 ] }, { "ob_id": 12378, "uuid": "913e830e904e419596738f54c937641f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/apposite/data/gfdlcm3/pred", "numberOfFiles": 20165, "volume": 2233421844690, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12377, "uuid": "5e70db43abe548209730429b42bfb387", "short_code": "ob", "title": "GFDL-CM3 model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\ntas zg500\r\n\r\nVariables Atmosphere monthly:\r\nclt hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind tas tot_ice_amt ua wap evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs ta tot_cloud_area tot_liq_amt va\r\n\r\nVariables Ocean daily:\r\nsic sit snd usi vsi\r\n\r\nVariables Ocean monthly:\r\nalbedo rhopoto sic snd temp_xflux_adv_int_z temp_yflux_adv_int_z thetao transix tx_trans tx_trans_rho_gm vo friver rsdssi sit so temp_xflux_neutral_int_z temp_yflux_neutral_int_z tmelt transiy tx_trans_gm uo vsi mlotst rsussi smelt sos temp_xflux_sigma temp_yflux_sigma tos tsice tx_trans_rho usi" }, "onlineresource_set": [ 5802 ] }, { "ob_id": 12380, "uuid": "40bdabfeb2ba448286459057318c72bc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/e6f/pred", "numberOfFiles": 21610, "volume": 2955746828943, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12379, "uuid": "ea34879ee40b456abb89108d85b24c75", "short_code": "ob", "title": "ECHAM6-FESOM model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\nsic sit tas uas vas\r\n\r\nVariables Atmosphere monthly:\r\nclt evspsbl hfls hfss hus pr prc prsn prw rlds rlus rlut rsds rsdt rsus rsut sfcWind sic sit snd snw ta tas tauu tauv ua uas va vas\r\n\r\nVariables Ocean daily:\r\nsic sit smelt snd snomelt snoToIce transiu transiv uusi vvsi\r\n\r\nVariables Ocean monthly:\r\nfriver hfu hfv mlotst sfu sfv sic sit smelt snd snomelt snoToIce so sos thetao tos transiu transiv uuo uusi vvo vvsi zos" }, "onlineresource_set": [ 5803 ] }, { "ob_id": 12382, "uuid": "1510fc8a7b8a490c8c4a2c66fc118009", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/CanCM4/pred", "numberOfFiles": 41602, "volume": 415318358248, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12381, "uuid": "08843f747a154639a7729d7daf4ea4a6", "short_code": "ob", "title": "CanCM4 model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\ntas uas vas zg500\r\n\r\nVariables Atmosphere monthly:\r\ncl clt evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs ta tauu ua va wap\r\ncli clw hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind tas tauv uas vas zg500\r\n\r\nVariables Ocean daily:\r\nrsdssi sic sit snc snd snw tsice usi vsi\r\n\r\nVariables Ocean monthly:\r\nhtovovrt mlotst msftmyz rsdssi sic sit sltovovrt snd so sos thetao tos tsice uo vo" }, "onlineresource_set": [ 5804 ] }, { "ob_id": 12384, "uuid": "c7bced5c4c7843569c57d1f395683f6f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/ec-earth_v2_3/pred", "numberOfFiles": 3365, "volume": 470880050564, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12383, "uuid": "57f1e9e171224ec694849813be9ac2b8", "short_code": "ob", "title": "EC-EARTH v2.3 model output prepared for APPOSITE ensemble prediction experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\n\r\nVariables Atmosphere monthly:\r\nclt d2m hfls hfss pr psl rlds rls rlt rltcs rlus rsds rss rsscs rst rstcs rsus tas tos uas vas\r\n\r\nVariables Ocean daily:\r\nialb sic sit smelt snd tsice usi vsi\r\n\r\nVariables Ocean monthly:\r\nfriver ialb mlotst sic sit smelt snd so sos tauu tauv thetao tos tsice uo usi vo vsi" }, "onlineresource_set": [ 5805 ] }, { "ob_id": 12386, "uuid": "8f2768889aff44748b93d642619444bb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/hadgem1-2/ctrl", "numberOfFiles": 22414, "volume": 519360822647, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12385, "uuid": "bb773c3420994ca3b2201ca4688860a5", "short_code": "ob", "title": "HadGEM1-2 model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\nLand component, Frequency: Monthly.\r\n\r\nVariables Atmosphere daily:\r\npr psl sfcWind sfcWindmax snw tas tasmax tasmin ts uas vas zg\r\n\r\nVariables Atmosphere monthly:\r\ncl evspsbl hfss hurs pr prsn ps rlds rlus rlutcs rsdscs rsus rsut sci snw tas tauv ua va wap clt hfls hur hus prc prw psl rldscs rlut rsds rsdt rsuscs rsutcs sfcWind ta tauu ts uas vas zg\r\n\r\nVariables Land monthly:\r\nevspsblveg gpp mrlsl mrro mrros mrsos nep npp rGrowth rh tsl\r\n\r\nVariables Ocean daily:\r\nsic sim sit snd usi vsi\r\n\r\nVariables Ocean monthly:\r\nfriver fsitherm hfsifrazil mlotst prsn sblsi sic sim sit snd snoToIce so sos thetao tos uo usi vo vsi wfo wfonocorr" }, "onlineresource_set": [ 5806 ] }, { "ob_id": 12388, "uuid": "6f2c74c98c304a42a30eb949286305cc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/ec-earth_v2_3/ctrl", "numberOfFiles": 10903, "volume": 378133094016, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12387, "uuid": "1350827326184430abca2098e6bf38ea", "short_code": "ob", "title": "EC-EARTH v2.3 model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\n\r\nVariables Atmosphere monthly:\r\ncl clt d2m hfls hus prc psl rls rltcs rsds rsscs rstcs snd ta tos uas vas\r\ncli clw evspsbl hfss pr prsn rlds rlt rlus rss rst rsus snr tas ua va wap\r\n\r\n\r\nVariables Ocean monthly:\r\nfriver ialb mlotst sic sit smelt snd so somixhgt sos tauu tauv thetao tos tsice uo usi vo vsi" }, "onlineresource_set": [ 5807 ] }, { "ob_id": 12390, "uuid": "5b95cf52d14d43459aaa4bd1875b356c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/e6f/ctrl", "numberOfFiles": 13408, "volume": 615647114587, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12389, "uuid": "0c0080546cae43ba94424e1138c41fe8", "short_code": "ob", "title": "ECHAM6-FESOM model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\nsic sit tas uas vas\r\n\r\nVariables Atmosphere monthly:\r\nclt evspsbl hfls hfss hus pr prc prsn prw rlds rlus rlut rsds rsdt rsus rsut sfcWind sic sit snd snw ta tas tauu tauv ua uas va vas\r\n\r\nVariables Ocean daily:\r\nsic sit smelt snd snomelt snoToIce transiu transiv uusi vvsi\r\n\r\nVariables Ocean monthly:\r\nfriver hfu hfv mlotst sfu sfv sic sit smelt snd snomelt snoToIce so sos thetao tos transiu transiv uuo uusi vvo vvsi zos" }, "onlineresource_set": [ 5808 ] }, { "ob_id": 12392, "uuid": "537eec88cec84219a0cf52dbbdb885dd", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/MIROC5-2/ctrl", "numberOfFiles": 7403, "volume": 312448716081, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12391, "uuid": "0192c72e48734d838e85dd8ffbd5ab43", "short_code": "ob", "title": "Model for Interdisciplinary Research on Climate (MIROC) 5.2 model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\ntas uas vas zg500\r\n\r\nVariables Atmosphere monthly:\r\ncl clt evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs snc ta tauu ua va wap cli clw hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind snw tas tauv uas vas zg500\r\n\r\nVariables Ocean daily:\r\nsic sit smelt snd tmelt transix transiy tsice usi vsi\r\n\r\nVariables Ocean monthly:\r\nfriver mlotst msftmyza msftmyzg msftmyzp rhopoto sic sit smelt snd so sos thetao tmelt tos transix transiy tsice uo usi vo vsi" }, "onlineresource_set": [ 5809 ] }, { "ob_id": 12394, "uuid": "832ea326f1b14ea398fddd80c76eeb9b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/mpiesm/ctrl", "numberOfFiles": 12802, "volume": 239656481977, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12393, "uuid": "89fb055ff9684240bad6c5c3b3544d38", "short_code": "ob", "title": "MPI-ESM model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\n\r\nVariables Atmosphere monthly:\r\ncl clt dewts friver hfss pr prsn psl rlus rlutcs rsdt rsus rsutcs snw tas va\r\ncli clw evspsbl hfls hus prc prw rlds rlut rsds rsnscs rsut sfcWind ta ua wap\r\n\r\nVariables Ocean daily:\r\nsic sit usi vsi\r\n\r\nVariables Ocean monthly:\r\ndsicdtadv dsitdtadv flum hfxba hfy hfydiff msftmyza msftmyzp sic snd sos thkcello transix uo dsicdtthd dsitdtthd hfx hfxdiff hfyba mlotst msftmyzg rhopoto sit so thetao tos transiy vo" }, "onlineresource_set": [ 5810 ] }, { "ob_id": 12396, "uuid": "31e0f1cccb28484d899cce1f0214731e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/apposite/data/gfdlcm3/ctrl", "numberOfFiles": 23385, "volume": 872609628646, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12395, "uuid": "140ee66f0d5b49bb95047b3fed8d1b2a", "short_code": "ob", "title": "GFDL-CM3 model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily:\r\ntas zg500\r\n\r\nVariables Atmosphere monthly:\r\nclt hfls hurs pr prsn psl rlus rlutcs rsdt rsuscs rsutcs ta tot_cloud_area tot_liq_amt va\r\nevspsbl hfss hus prc prw rlds rlut rsds rsus rsut sfcWind tas tot_ice_amt ua wap\r\n\r\nVariables Ocean daily:\r\nsic sit snd usi vsi\r\n\r\nVariables Ocean monthly:\r\nalbedo rhopoto sic snd temp_xflux_adv_int_z temp_yflux_adv_int_z thetao transix tx_trans tx_trans_rho_gm vo friver rsdssi sit so temp_xflux_neutral_int_z temp_yflux_neutral_int_z tmelt transiy tx_trans_gm uo vsi mlotst rsussi smelt sos temp_xflux_sigma temp_yflux_sigma tos tsice tx_trans_rho usi" }, "onlineresource_set": [ 5811 ] }, { "ob_id": 12400, "uuid": "06f85057f30843d783f9d420b964f769", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/glas_veg_height/data/veg_height_distribution/v1-1", "numberOfFiles": 3, "volume": 147248636, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12267, "uuid": "46d70a7636284690882e4ba01cd997c2", "short_code": "ob", "title": "Global Vegetation Height Frequency Distributions (v1.1) from the ICESAT GLAS instrument produced under NCEO", "abstract": "This dataset provides global (between 60 S and 80 N) vegetation height (or object height) frequency distributions per half by half degree longitude and latitude derived from ICESAT Geoscience Laser Altimeter System (GLAS) waveform data.\r\n\r\nThis version 1.1 data was produced as part of the National Centre for Earth Observation (NCEO) " }, "onlineresource_set": [ 5816 ] }, { "ob_id": 12402, "uuid": "457527340e534cb5ad4ee4b8d701c059", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/poppys_dataset_collection", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 5815 ] }, { "ob_id": 12403, "uuid": "f21f395f396c4377bbb76baa9a676604", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/proc-earth-model/data/ozone-metrics/v2.4", "numberOfFiles": 17, "volume": 15131965112, "fileFormat": "Data is formatted in NetCDF-4", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12399, "uuid": "a3931d0dfcc243ab8d93603c8ee58811", "short_code": "ob", "title": "Gridded Global Surface Ozone Metrics data (1971-2015) for Atmospheric Chemistry Model Evaluation - version 2.4", "abstract": "This dataset consists of version 2.4 gridded surface ozone metrics for atmospheric chemistry model evaluation. These data have global coverage on both monthly and annual timescales from 1971-2015. Multiple model resolutions were used and can be easily identified within the filename. \r\n\r\nData are stored as NetCDF-4 files, with one file per model resolution at each time resolution. The files hold gridded surface ozone data from multiple databases (WMO GAW, EPA CASTNET, EPA AQS, Canadian CAPMON, Canadian NAPS, European EMEP, European AirBase, East Asian Acid Deposition Monitoring Network EANET), plus metadata. Metrics include the moments of the distribution, percentiles, maximum daily eight-hour average (MDA8), SOMO35, AOT40, and metrics related to air quality regulatory thresholds. In addition, metadata for all contributing sites (e.g. Site name, latitude, longitude) are included in each file." }, "onlineresource_set": [] }, { "ob_id": 12405, "uuid": "d027bd96b4ee45d39206082a837f529f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/bae-146", "numberOfFiles": 0, "volume": 0, "fileFormat": "FAAM processed core data are stored in NetCDF. Processed non-core data are stored in NetCDF or NASA Ames formats. Raw core data are stored in zipped files.\r\n\r\nSome software to read, manipulate and convert these formats into each other are provided by CEDA. Please see CEDA File Formats help pages for details. File names follow the FAAM File Name Convention.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12413, "uuid": "347c3f0e80074f6eb2314cdeb4c8721b", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/globolakes/data/v1/limnology", "numberOfFiles": 5, "volume": 1690133055, "fileFormat": "Files are formatted in NetCDF and BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12414, "uuid": "84d4f66b668241328df0c43f8f3b3e16", "short_code": "ob", "title": "GloboLakes: high-resolution global limnology dataset v1", "abstract": "These data are high-resolution datasets related to in-land water for limnology (study of in-land waters) and remote sensing applications. This includes: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates on a high-resolution (1/360x1/360 degree) grid, produced by the Department of Meteorology at the University of Reading. Data was derived using the ESA CCI Land Cover Map (see linked documentation). \r\n\r\nDatasets containing information to locate and identify water bodies have been generated from high-resolution (1/360x1/360 degree, about 300mx300m) data locating static-water-bodies recently released by the Land Cover Climate Change Initiative (LC CCI) of the European Space Agency. The new datasets provide: distance to land, distance to water, water body identifiers and lake centre locations. The lake identifiers (IDs) are from the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in-land waters for which GLWD IDs were determined. The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database. \r\n\r\nThe LC CCI water bodies dataset has been obtained from multi-temporal metrics based on time series of the backscattered intensity recorded by ASAR (Advanced Synthetic Aperture Radar) on Envisat between 2005 and 2010. Temporal change in water body extent is common. Future versions of the LC CCI dataset are planned to represent temporal variation, and this will permit these derived datasets to be updated.\r\n\r\nThe paper associated with this dataset is: \r\nL.Carrea O. Embury C.J. Merchant \"High-resolution datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates\" Geoscience Data Journal, vol. 2 issue 2, pp. 83-97, November 2015. DOI: 10.1002/gdj3.32\r\n" }, "onlineresource_set": [] }, { "ob_id": 12416, "uuid": "b80613fed10f4202b97be90278a467d5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/hi-acc-co2/data/old", "numberOfFiles": 2, "volume": 25958998, "fileFormat": "HITRAN format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12292, "uuid": "6d2cbe9f93404c5e9152f4f92ea6cbdb", "short_code": "ob", "title": "High accuracy line intensity data for carbon dioxide", "abstract": "High accuracy line intensity for carbon dioxide project was NERC (Natural Environment Research Council) funded. The aim of the project was to provide an accurate theoretical solution to the problem of CO2 line intensities based on the application of high accuracy, first principles quantum mechanical calculations for the intensities and experimental data for the line positions.\r\n\r\nThis dataset contains measurements of high accuracy line intensity for carbon dioxide." }, "onlineresource_set": [ 5841 ] }, { "ob_id": 12417, "uuid": "fb043e3877614af59c661638f430a5f6", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/stormsrisk/data/diamet/radiosondes", "numberOfFiles": 139, "volume": 62748710, "fileFormat": "Data are ASCII formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12288, "uuid": "2202db2e378d4d46932f9529a27024d8", "short_code": "ob", "title": "DIAMET: Met Office and University of Manchester radiosonde profiles", "abstract": "The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.\r\n\r\nThis dataset contains meteorological data recorded by radiosondes launched in support of the DIAMET campaign. Data are from the Manchester radiosondes launched at Aberystwyth and from Met Office sondes at Albemarle, Camborne, Castor Bay, Herstmonceux, Lerwick and Lochranza." }, "onlineresource_set": [] }, { "ob_id": 12418, "uuid": "f8e82901fbcc41cc989a275cb9e3c9dc", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/stormsrisk/data/diamet/met-office-windprofilers", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are ASCII formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12419, "uuid": "85ef4fe63b3c4b57bb082703acb8ddd0", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/stormsrisk/data/diamet/ukmo-um-data", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are PP formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12423, "uuid": "eecd00d418d146539a09714c2579bdcb", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-averages-5km", "numberOfFiles": 639, "volume": 361287165, "fileFormat": "The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12424, "uuid": "620f6ed379d543098be1126769111007", "short_code": "ob", "title": "UKCP09: Met Office gridded land surface climate observations - long term averages at 5km resolution", "abstract": "This dataset contains a set of reference long term averages for observed climate variables on a 5km resolution grid. Where possible, reference climatologies are available for the periods 1961-1990, 1971-2000 and 1981-2010 for each variable. The availability of the variable for the given reference period was dependant on sufficient data being available for the variable for that period. \r\n\r\nThe data were derived from the Met Office gridded land surface climate observations - monthly variables at 5km resolution (see related dataset). The averages are calculated by averaging the 30 monthly or annual gridded datasets for each variable for each averaging period.\r\n\r\nThe data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications." }, "onlineresource_set": [] }, { "ob_id": 12428, "uuid": "28da8fd903f94a63b6e556311a2fe805", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/aberporth/jenoptick-chm15k-nimbus", "numberOfFiles": 345294, "volume": 175777370252, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 10995, "uuid": "be641b2f6b524b4a90e61bbb396d5b81", "short_code": "ob", "title": "Met Office LIDARNET Aberporth Jenoptik CHM15k Nimbus ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Jenoptik CHM15k Nimbus ceilometer located at Aberporth, mid-Wales. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.\r\n" }, "onlineresource_set": [] }, { "ob_id": 12432, "uuid": "a1350262c522481bb004e76e840bd63c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acsoe/data/ease-96/jetstream/", "numberOfFiles": 27, "volume": 4100061, "fileFormat": "The data files are NASA-Ames formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12426, "uuid": "453ffa392f6b43299cbb59779eae4fe3", "short_code": "ob", "title": "ACSOE OXICOA EASE-96: Airborne Atmospheric Oxidants Data from on-board the Cranfield Jetstream Research Aircraft", "abstract": "This data set is comprised of observations from Cranfield Jetstream Research Aircraft which carried three NOy monitors, an ozone monitor, a solarimeter, a gas chromatograph-flame ionisation detector and a temperature sensor off the eastern coast of Ireland to measure the vertical and horizontal homogeneity of the air mass for EASE-96." }, "onlineresource_set": [] }, { "ob_id": 12440, "uuid": "2d369b75aabd4f6287a1d3ce88d60590", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/mipas/data/l1b/reprocessed/v7", "numberOfFiles": 35019, "volume": 8716668333364, "fileFormat": "Data are binary formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12434, "uuid": "f4545eca3bf343a8acbeb4f71b1f2e72", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v7 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 7.1 data. Improvements with respect to the previous version 5.06 data include a new offset validation algorithm, addition of alignment matrix correction and scan mirror non-linearity correction in geolocation pointing, a new spike detection and correction algorithm, enabling of generation of Optimised Resolution (OR) products from Full Resolution (FR) products for the FR acquisition period, and an update of the format function for the number of sweeps per scan. Data are from 1st July 2002 to 8th April 2012." }, "onlineresource_set": [] }, { "ob_id": 12441, "uuid": "d02638fb0b5743e9a200dceb66d42af6", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/mipas/data/l1b/reprocessed/v5", "numberOfFiles": 71477, "volume": 8870286687158, "fileFormat": "Data are binary formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12435, "uuid": "d2adcb41c8944dc99c43e77c974c9330", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v5 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 5 data. Original release is version 5.02 with bug fixes implemented in versions 5.05 and 5.06. Improvements with respect to the previous version 4.67 data include trunctation of the interferogram at 8 cm to avoid undersampling for the Optimised Resolution (OR) mission, improved engineering heights calculation, calculation of quadratic terms for spectral calibration included in output products, and addition of L0 house keeping data packets. Data are from 1st July 2002 to 8th April 2012." }, "onlineresource_set": [] }, { "ob_id": 12442, "uuid": "81e04842136c4012a0aa9dd1fc6b562d", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/mipas/data/l1b/reprocessed/v4", "numberOfFiles": 35030, "volume": 5407072942192, "fileFormat": "Data are binary formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12436, "uuid": "0c9e286726bd46eca52d9dc39245fcb3", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v4 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 4 data. Latest release is IPF v4.67. Data are from 1st July 2002 to 8th April 2012." }, "onlineresource_set": [] }, { "ob_id": 12443, "uuid": "be2501f97737499db1af71b9ae6e0f8d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/mst/data/nerc-mstrf-nlc-camera", "numberOfFiles": 1, "volume": 936, "fileFormat": "Files are JPEG formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12444, "uuid": "92d6475925224211b255fabe55161ea1", "short_code": "ob", "title": "NCAS AMOF: Noctilucent Cloud (NLC) camera images from the Chilbolton Observatory, Hampshire", "abstract": "The 'ncas-cam5' camera is operated between dusk and dawn (typically at 5 minute intervals) during the mid-summer months (principally June and July) with the aim of observing Noctilucent Clouds for scientific study. It is located within the Receive Cabin of the Chilbolton Observatory, Hampshire, UK (51.145168°N,-1.4397500°E). It is approximately 4.3 m above the ground level, which is approximately 84 m above mean sea level. The field of view (taking the 1.6 crop factor of the camera into account) is 67.9° in the horizontal and 45.3° in the vertical. The centre of each image is directed towards an azimuth of approximately +15°. However, since the camera body is not locked in place, this value can vary by a few degrees (typically from one year to the next). The azimuth at which stars reach their lowest elevation corresponds to true north. This has been used to estimate an azimuth of +17.6° for where the mast in th e foreground crosses the skyline. The +0.4° elevation of the skyline has been measured with an inclinometer. Date-time information is derived from the image capture computer and given in Coordinated Universal Time (UTC)." }, "onlineresource_set": [] }, { "ob_id": 12445, "uuid": "a35b667028824abd8147f2e17cfb38a0", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/aberporth/vaisala-cl31", "numberOfFiles": 87296, "volume": 47832562517, "fileFormat": "These data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12439, "uuid": "781bb3981efa48dcae5e14546b312e4b", "short_code": "ob", "title": "Met Office LIDARNET Aberporth Vaisala CL31 ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Aberporth Cl31 ceilometer located at Aberporth, mid-Wales. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.\r\n" }, "onlineresource_set": [] }, { "ob_id": 12449, "uuid": "1248cddda12e41fcacbfa775d1e51f8c", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/northolt/vaisala-ct25k/", "numberOfFiles": 10674, "volume": 4461485437, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12448, "uuid": "b1e2f90ef234469fa313b4fc3630581e", "short_code": "ob", "title": "Met Office LIDARNET Northolt Vaisala CT25k ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Vaisala Ct25k ceilometer located at RAF Northolt, near Heathrow, southern England. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.\r\n" }, "onlineresource_set": [] }, { "ob_id": 12486, "uuid": "7346a4cb285146d18d678f7283cd1f0e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-monthly", "numberOfFiles": 16839, "volume": 11530273862, "fileFormat": "The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12421, "uuid": "94f757d9b28846b5ac810a277a916fa7", "short_code": "ob", "title": "UKCP09: Met Office gridded land surface climate observations - monthly climate variables at 5km resolution", "abstract": "This dataset contains a set of observed monthly climate variables on a 5km resolution grid. The observations are derived from 16 daily climate variables that have been averaged (e.g. daily maximum temperature) or summed (e.g. monthly total precipitation) over calendar months. The input station data originate from the Met Office Integrated Data Archive System (A version of MIDAS is also available through CEDA, although incremental developments to the database such as quality control and data recovery activities may result in some differences compared to the database at the time of production of the UKCP09 data).\r\n\r\nThe gridding process accounts for effects such as latitude, longitude, altitude, coastal influence, and the effect of urban land through the use of normalisation with respect to monthly 1961 – 1990 climate normals, and in the case of some variables a regression model. For more details about the construction see Perry and Hollis (2005). \r\n\r\nThe data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points." }, "onlineresource_set": [] }, { "ob_id": 12488, "uuid": "5ee14091ae764f30bd2e118260bf37f9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-daily", "numberOfFiles": 84921, "volume": 67319706309, "fileFormat": "The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12487, "uuid": "319b3f878c7d4cbfbdb356e19d8061d6", "short_code": "ob", "title": "UKCP09: Met Office gridded land surface climate observations - daily temperature and precipitation at 5km resolution", "abstract": "This dataset contains a set of daily observations of temperature (daily maximum, daily minimum and daily mean temperature) and rainfall (24 hour accumulation) interpolated to a uniform 5km grid resolution covering the period 1960 to 2014.\r\n\r\nThe input station data originate from the Met Office Integrated Data Archive System - MIDAS - a database at the Met Office of observation station data stretching back to the 18th century. (A version of MIDAS is also available through CEDA, although incremental developments to the database such as quality control and data recovery activities may result in some differences compared to the database at the time of production of the UKCP09 data - see linked datasets for access to these equivalent datasets held by CEDA).\r\n \r\nThe input station data used provide observations relating to periods 0900 to 0900 UTC, so the gridded output stored against day \"dd\" are as follows:\r\n•\tMaximum temperature between 0900 on day dd and 0900 on day dd+1 (normally expect to occur during the afternoon of day dd)\r\n•\tMinimum temperature between 0900 on day dd-1 and 0900 on day dd (normally expect to occur just before dawn on day dd)\r\n•\tMean temperature that is the average of the maximum and minimum temperature\r\n•\tRainfall (or rainfall equivalent in cases of frozen precipitation) amount between 0900 day dd and 0900 day dd+1\r\n\r\nThe gridding process accounts for effects such as latitude, longitude, altitude, coastal influence, and the effect of urban land through the use of normalisation with respect to monthly 1961 – 1990 climate normals, and in the case of temperature, a regression model.\r\n\r\nThe data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points." }, "onlineresource_set": [] }, { "ob_id": 12490, "uuid": "10a759e49299452eb623fda0fbbb03a4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-indices", "numberOfFiles": 9100, "volume": 4290566084, "fileFormat": "The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12489, "uuid": "68dfe0967cea4320a3889c2594fb1e0f", "short_code": "ob", "title": "UKCP09: Met Office gridded land surface climate observations - precipitation and temperature indices at 5km resolution", "abstract": "This dataset contains a set of observed climate indices on a 5km resolution grid. The data are derived from daily temperature and precipitation grids (see related dataset) to provide annual indicies: 9 temperature based indices (for example summer heatwave duration); and 12 precipitation indices (for example maximum 1 day precipitation amount).\r\n\r\nThe data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points.\r\n" }, "onlineresource_set": [] }, { "ob_id": 12492, "uuid": "63ad142f221b490a880f79d6047f665e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-averages-25km", "numberOfFiles": 300, "volume": 8574890, "fileFormat": "The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12491, "uuid": "a7e005b4bdd54977aa54251f5f491801", "short_code": "ob", "title": "UKCP09: Met Office gridded land surface climate observations - long term averages at 25km resolution", "abstract": "This dataset contains a set of reference long term averages for observed climate variables on an approximately 25km resolution grid. This matches the resolution of the HadRM3 regional climate model and the UKCP09 climate projections. These data represent the baseline reference climate averages for the period 1961 – 1990. \r\n\r\nThe data were derived from the Met Office gridded land surface climate observations – long term averages at 5km resolution (see related dataset). Each 25 x 25km grid box value is an average of the 5 x 5 km grid cell values that fall within it. Averages have been calculated for each month, season and the year as a whole (17 data sets). For the days of frost and days of rain variables the seasonal and annual averages are the total of the individual monthly averages. For the remaining variables the seasonal and annual averages are the mean of the monthly averages (allowing for differences in month length). To facilitate combining the baseline data with the UKCP09 climate projections, the 25 km baseline averages for rainfall have been expressed in units of millimetres per day (rather than total millimetres, as for the 5 km data sets).\r\n\r\nThe data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points." }, "onlineresource_set": [] }, { "ob_id": 12494, "uuid": "62f01dce546f41188835c893a19117d5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-regional-averages", "numberOfFiles": 79, "volume": 297955, "fileFormat": "Data are provided in the original ASCII format used within the UKCP09 project. Please see linked documentation for further details.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12493, "uuid": "51132aea5ed0433ca338d32a912e3976", "short_code": "ob", "title": "UKCP09: Met Office regional land surface climate observations - long term averages for administrative regions and river basins", "abstract": "This dataset contains a set of reference long term averages for observed climate variables that have been spatially averaged over a set of 14 administrative regions and 23 river basins across the British Isles (see links to maps and lists below). Where possible, reference climatologies for each of the periods 1961-1990, 1971-2000 and 1981-2010 are available for each variable. The availability of a variable for a given reference period was dependant on sufficient data for that variable within the reference period. Each regional value is an average of the 5km x 5km grid cell values that fall within it. \r\n\r\nThe data were derived from the Met Office gridded land surface climate observations – long term averages at 5km resolution (See related dataset) and are provided as space delimited text files.\r\n\r\nThe 14 administrative regions used within UKCP09 were:\r\n- East Midlands \r\n- East of England \r\n- East Scotland \r\n- London \r\n- North East England \r\n- North Scotland \r\n- North West England \r\n- Northern Ireland \r\n- South East England \r\n- South West England \r\n- Wales \r\n- West Midlands \r\n- West Scotland \r\n- Yorkshire & The Humber \r\n\r\nThe 23 river basin regions used within UKCP09 were: \r\n- Anglian \r\n- Argyll \r\n- Clyde \r\n- Dee \r\n- Forth \r\n- Humber \r\n- Neagh Bann \r\n- North East Scotland \r\n- North Eastern Ireland \r\n- North Highland \r\n- North West England \r\n- North Western Ireland \r\n- Northumbria \r\n- Orkney and Shetland \r\n- Severn \r\n- Solway \r\n- South East England \r\n- South West England \r\n- Tay \r\n- Thames \r\n- Tweed \r\n- West Highland \r\n- Western Wales" }, "onlineresource_set": [] }, { "ob_id": 12496, "uuid": "5ef6397060974beb8a7022f9130a4d09", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/aldergrove/jenoptick-chm15k-nimbus", "numberOfFiles": 348716, "volume": 174180064956, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12495, "uuid": "8e470e079c414bdc8730baf4bf9aae95", "short_code": "ob", "title": "Met Office LIDARNET Aldergrove Jenoptik CHM15k Nimbus ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Jenoptik CHM15k Nimbus ceilometer located at Aldergrove, Belfast. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.\r\n" }, "onlineresource_set": [] }, { "ob_id": 12499, "uuid": "575e022f346045c5a70582b3902db925", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/camborne/jenoptick-chm15k-nimbus", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12501, "uuid": "7c66daadc15d4133bcf89d5bf11c6d3b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/camborne/jenoptick-chm15k-nimbus", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 12502, "uuid": "a57a5d30a3644a9795eca7c1dafba7f9", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/camborne/jenoptick-chm15k-nimbus", "numberOfFiles": 353500, "volume": 207142129304, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 12498, "uuid": "8edd5da03e324fe292a6598c5ff7153f", "short_code": "ob", "title": "Met Office LIDARNET Camborne Jenoptik CHM15k Nimbus ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Jenoptik CHM15k Nimbus ceilometer located at Camborne, Cornwall. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. 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