Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=2900
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=3000", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=2800", "results": [ { "ob_id": 13752, "uuid": "83726803634b4ee881f5dc6e1b1fbaa3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/weather", "numberOfFiles": 0, "volume": 0, "fileFormat": "BADC CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 8256 ] }, { "ob_id": 13754, "uuid": "9caa3bd1512f431b909c3362bf628902", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/trunk", "numberOfFiles": 0, "volume": 0, "fileFormat": "BADC CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 8257 ] }, { "ob_id": 13756, "uuid": "9a31e90cc9c746c7a6d2958f03a2fde8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/snowdepth", "numberOfFiles": 0, "volume": 0, "fileFormat": "BADC CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 8258 ] }, { "ob_id": 13758, "uuid": "5da41aa14b7349dfb56b1a13f90659ca", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/radiation", "numberOfFiles": 0, "volume": 0, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 8259 ] }, { "ob_id": 13760, "uuid": "bad895129eef4419be34cc56e6e4f1aa", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/hemispherical_photography", "numberOfFiles": 0, "volume": 0, "fileFormat": "JPG images", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [ 8260 ] }, { "ob_id": 13762, "uuid": "5f07868d73114c2d9eb1a65376b257bc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/mstrf", "numberOfFiles": 11, "volume": 499020, "fileFormat": "Images are PNG formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13761, "uuid": "4e39e3f0b8254b0a9dde34419a89a6f1", "short_code": "ob", "title": "Eyjafjallajokull Volcanic Ash Cloud: raw backscatter profiles from the MST Radar Facility's Vaisala LD40 laser ceilometer, Capel Dewi, Wales", "abstract": "Plots of raw backscatter profiles from the MST Radar Facility's Vaisala LD40 laser ceilometer, Capel Dewi, Wales obtained during the Icelandic Volcano, Eyjafjallajokull, erupting from on 14th April 2010.\r\n\r\nThe volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period." }, "onlineresource_set": [] }, { "ob_id": 13765, "uuid": "51faad7306a54952917232ca23c510e2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/ncas-fgam-instruments/", "numberOfFiles": 89, "volume": 12575825, "fileFormat": "Images are PNG formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13764, "uuid": "7de58a079598413481ac3055d71db95f", "short_code": "ob", "title": "Eyjafjallajokull Volcanic Ash Cloud: NCAS FGAM Instruments", "abstract": "The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains images from Aberystwyth elight and water-vapour lidars, FGAM lidar situated at Cardington and Salford Urban Built-Environment Research Base lidar.\r\n\r\nAsh was seen frequently over Capel Dewi and Cardington during the periods 13th - 23rd April 2010 and 11th - 17th May. The ash tended to occur in single, narrow, uniform layers during the first period but in multiple, thicker, patchy layers during the second period. Work has begun on trying to determine the properties of the ash from the lidar observations. A comparison of the Raman lidar returns at 355 and 387 nm gives the lidar (optical extinction to backscatter) ratio. The unexpectedly (and controversially) large mean values for the April period (182) suggest that the ash particles were much larger and darker than those associated with eruptions of Mount Etna (mean lidar ratio values of 55). DK confirmed that similarly large values were found for observations made by an airborne lidar system.\r\n\r\nThe ultimate aim of this type of work is to be able to define the ash source function, which is required to initiate the dispersion model. For example, how much mass was ejected and to what heights? Moreover, how did the ash particles behave one they are airborne? For example, how quickly, did they start to sediment? DK clarified that high pressure over the British Isles appeared to be the driving force which caused the ash to enter the BL - not sedimentation. In order to improve the interpretation of remote sensing data, more will need to be known about the properties of the ash particles, e.g. their complex refractive index. It may be necessary to improve the lidar scattering models for this type of particle, e.g. to encompass Mie scattering." }, "onlineresource_set": [] }, { "ob_id": 13770, "uuid": "b15d8d9ac211464dab8756e0915be962", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/ukmo-metdb", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 13775, "uuid": "b95703e479be44818530984e75eda728", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/met_office/data/3_LIDAR", "numberOfFiles": 1722, "volume": 7915758441, "fileFormat": "Data are netCDf formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13774, "uuid": "fe3508b4a3d44ae0ad032921f4165596", "short_code": "ob", "title": "Eyjafjallajokull Volcanic Ash Cloud: backscatter profiles from the Met Office's Lidars at the Chilbolton and Herstmonceux sites, UK", "abstract": "The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains backscatter profiles from the Met Office's Lidars at the Chilbolton and Herstmonceux sites, UK." }, "onlineresource_set": [] }, { "ob_id": 13778, "uuid": "4cd80cf432c941d79017b02bc8ab1480", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/met_office/data/4_LCBR", "numberOfFiles": 234102, "volume": 29436395504, "fileFormat": "Data are GIF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13777, "uuid": "3ef428e038744e0ab14d49641ae578bf", "short_code": "ob", "title": "Eyjafjallajokull Volcanic Ash Cloud: Met Office LCBR data", "abstract": "The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains measurements from Met Office's Laser Cloud Base Recorder (LCBR) network." }, "onlineresource_set": [] }, { "ob_id": 13781, "uuid": "d7ea116ebdc0406f9758f3cb8e3a8684", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/met_office/data/5_Lightning-ATD", "numberOfFiles": 164, "volume": 25644087, "fileFormat": "Images are JPG and PNG formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13780, "uuid": "3c2c74d6e3f8480297ccf6f85aa21758", "short_code": "ob", "title": "Eyjafjallajokull Volcanic Ash Cloud: Lightning data from the Met Office's ATDnet system", "abstract": "The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains measurements from lightning data from the Met Office's ATDnet system." }, "onlineresource_set": [] }, { "ob_id": 13783, "uuid": "23fb5114c73c4579ad2a935f2ee491c7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eyjafjallajokull/data/met_office/data/9_Hi-Res_Radiosonde", "numberOfFiles": 262, "volume": 30512040, "fileFormat": "Data are EDT formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13782, "uuid": "a356c69e676c46b3998d861513a6897b", "short_code": "ob", "title": "Eyjafjallajokull Volcanic Ash Cloud: Met Office high resolution radiosonde data", "abstract": "The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains measurements from high resolution radiosonde." }, "onlineresource_set": [] }, { "ob_id": 13787, "uuid": "98cfca6f9c614abe839d8db412d77b08", "short_code": "result", "curationCategory": "", "dataPath": "/badc/kilimanjaro-climate/data/v1/temperature", "numberOfFiles": 2, "volume": 3836092, "fileFormat": "BADC-CSV format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13773, "uuid": "bf8d6babeb904fbbaff7e279f9c0db02", "short_code": "ob", "title": "Temperature data from 23 stations on Kilimanjaro (East Africa) over three years", "abstract": "Data were collected under the NERC funded project - The role of land-use change on influencing mountain climate on Kilimanjaro, East Africa (NE/J013366/1) - lead by Dr Nicholas Pepin (University of Portsmouth) which investigated the influence of land-use on surface climate (temperature and moisture availability) on Mount Kilimanjaro in Africa. \r\n\r\nTemperature measurements were taken at hourly intervals at 23 stations on Mount Kilimanjaro between September 2012 and September 2015. Specific station locations (elevation and lat/long) are stated in the data and are ordered in a transect across the mountain from South-West over the top to North-East. \r\n\r\nTwo of the stations have both ground level and air level sensors (hence there are 25 readings not 23). \r\n\r\nAdditional information about station locations and missing data can be found in a PDF on the CEDA archive. " }, "onlineresource_set": [] }, { "ob_id": 13788, "uuid": "b32b2b2c9d1745348ca9e7e0421c1c1f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/kilimanjaro-climate/data/v1/relative-humidity", "numberOfFiles": 2, "volume": 4176277, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13772, "uuid": "e8a3561149c0448fa34bd64f072d69f1", "short_code": "ob", "title": "Relative humidity data from 23 stations on Kilimanjaro (East Africa) over three years", "abstract": "Data were collected under the NERC funded project - The role of land-use change on influencing mountain climate on Kilimanjaro, East Africa (NE/J013366/1) - lead by Dr Nicholas Pepin (University of Portsmouth) which investigated the influence of land-use on surface climate (temperature and moisture availability) on Mount Kilimanjaro in Africa. \r\n\r\nRelative humidity measurements were taken at hourly intervals at 23 stations on Mount Kilimanjaro between September 2012 and September 2015. Specific station locations (elevation and lat/long) are stated in the data and are ordered in a transect across the mountain from South-West over the top to North-East. \r\n\r\nTwo of the stations have both ground level and air level sensors (hence there are 25 readings not 23). \r\n\r\nAdditional information about station locations and missing data can be found in a PDF on the CEDA archive. " }, "onlineresource_set": [] }, { "ob_id": 13795, "uuid": "9be6314f22da4f1f85e5016f67cfd45f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/toms_CDs/nimbus7_toms_o3_v2", "numberOfFiles": 8034, "volume": 597992851, "fileFormat": "Data are ASCII formatted and images are GIF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13794, "uuid": "9ddd1ff40bc64bbb8a6a50efd7da0b96", "short_code": "ob", "title": "Total Ozone Mapping Spectrometer (TOMS): NIMBUS-7 ozone measurements (1978-1993) version 2", "abstract": "Data from the Total Ozone Mapping Spectrometer (TOMS), which used backscattered ultraviolet radiance to infer total column ozone measurements (gridded daily for the entire globe). This 2 CD-ROM set contains the latest version (version 7) of ozone data from the TOMS (Total Ozone Mapping Spectrometer) instrument onboard the Nimbus 7 spacecraft. Data covering the entire Nimbus 7 TOMS lifetime, November 1, 1978 through May 6, 1993, are given as daily files of gridded data, as zonal means, and as monthly averages. Software is included to image the data.\r\n\r\nFor scientific investigators, a similar CD-ROM containing TOMS surface reflectivity values is planned. A CD-ROM of version 7 data from the Meteor 3 TOMS instrument (August 1991 - December 1994)\r\nwill be produced this summer.\r\n" }, "onlineresource_set": [] }, { "ob_id": 13798, "uuid": "376c4aac88e94bceb7d4df7d9df44fdc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/toms_CDs/nimbus7_toms_reflect_v1", "numberOfFiles": 3602, "volume": 577128711, "fileFormat": "Data are ASCII formatted and images are GIF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13797, "uuid": "30d95d1041fc4ec59b4fabcce1e656af", "short_code": "ob", "title": "Total Ozone Mapping Spectrometer (TOMS): NIMBUS-7 reflectivity measurements (1978-1993) version 1", "abstract": "Data from the Total Ozone Mapping Spectrometer (TOMS), which used backscattered ultraviolet radiance to infer total column ozone measurements (gridded daily for the entire globe). This 2 CD-ROM set contains the latest version (version 7) of reflectivity data from the TOMS (Total Ozone Mapping\r\nSpectrometer) instrument onboard the Nimbus 7 spacecraft. Data covering the entire Nimbus 7 TOMS lifetime, November 1, 1978 through May 6, 1993, are given as daily files of gridded data, as\r\nzonal means, and as monthly averages.\r\n\r\nA similar CD-ROM set (OPT_004A and OPT_004B) containing TOMS total ozone values is also currently available. A CD-ROM of version 7 data from the Meteor 3 TOMS instrument (August 1991 -December 1994) will be produced soon.\r\n" }, "onlineresource_set": [] }, { "ob_id": 13800, "uuid": "6b59b45d00eb424dba32da9d7dc0feb1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/toms_CDs/nimbus7_toms_reflect_v2", "numberOfFiles": 7715, "volume": 495048748, "fileFormat": "Data are ASCII formatted and images are GIF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13799, "uuid": "ae5ee04d69064da7a27af30ee9f27c84", "short_code": "ob", "title": "Total Ozone Mapping Spectrometer (TOMS): NIMBUS-7 reflectivity measurements (1978-1993) version 2", "abstract": "Data from the Total Ozone Mapping Spectrometer (TOMS), which used backscattered ultraviolet radiance to infer total column ozone measurements (gridded daily for the entire globe). This 2 CD-ROM set contains the latest version (version 7) of reflectivity data from the TOMS (Total Ozone Mapping\r\nSpectrometer) instrument onboard the Nimbus 7 spacecraft. Data covering the entire Nimbus 7 TOMS lifetime, November 1, 1978 through May 6, 1993, are given as daily files of gridded data, as zonal means, and as monthly averages.\r\n\r\nA similar CD-ROM set (OPT_004A and OPT_004B) containing TOMS total ozone values is also currently available. A CD-ROM of version 7 data from the Meteor 3 TOMS instrument (August 1991 - December 1994) will be produced soon.\r\n" }, "onlineresource_set": [] }, { "ob_id": 13802, "uuid": "afcdc5dfc3a84736b56db76dc855990f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/tree-sulphur-var", "numberOfFiles": 4, "volume": 1205950, "fileFormat": "Data are BADC CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13801, "uuid": "672e6e5d9aae4eac805175a80e40b535", "short_code": "ob", "title": "Interrogating Trees as Archives of Environmental Sulphur Variability Project: Historical Sulphur Concentrations and Isotopic Values in tree rings (1840-2012)", "abstract": "This dataset contains sulphur concentrations and isotopic values found in tree rings.\r\n\r\nSamples were collected from several sites in Italy and in the UK.\r\n\r\nIn Italy, samples were collected within a 4km radius of the Ernesto Cave (NE Italian Alps) using 5 and 12 mm diameter increment borers. Standard dendroecological procedures were used to produce absolutely dated records and mean ring-width chronologies. Thirty individual trees were used to build a master chronology for sample cores collected from Abies alba (type of fir tree)). Of the collected cores, two trees (Abies 1, cambial age 160; and Abies 2, cambial age 90) underwent preliminary investigation for sulphur concentration and intra-cellular speciation as a background to developing a method for extracting sulphur isotopes from the same samples. In sampling the trees, no oils, polish wax or lubricant was used to reduce potential contamination from sulphurcontaining compounds.\r\n\r\nWood powders were extracted by carefully drilling 5-year blocks of dated rings to yield a well-mixed, representative sample of approximately 40 mg for sulphur isotope analysis. On a sub-section of the conifer samples, a cold resin extraction was conducted using a 9:1 high purity (Aristar grade) acetone:water mixture for 48 h, followed by multiple washes with hot and cold deionised water to remove the potentially mobile resinous component and any surface bound mobile (soluble) sulphur.\r\n\r\nSamples were also collected in the UK from Beech, Oak, Sycamore and Ash trees at sites near Lancaster, Manchester and Grizedale. Then all samples were analysed by continuous-flow-isotope-ratio mass spectrometry using an Isoprime 100 mass spectrometer linked to an Elementar Pyrocube analyser at the University of Lancaster, Lancaster Environment Centre. \r\n\r\nThe results are presented in this dataset." }, "onlineresource_set": [ 8326 ] }, { "ob_id": 13806, "uuid": "207792ca32234ca49857c4690945c00e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/toms_CDs/nimbus7_toms_uv_exposure", "numberOfFiles": 5313, "volume": 631280342, "fileFormat": "Data are ASCII formatted and images are GIF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13805, "uuid": "b42d475e2a344ef9931f10bf60ae6fa8", "short_code": "ob", "title": "Total Ozone Mapping Spectrometer (TOMS): NIMBUS-7 Daily UV Exposure measurements at the Earth's Surface", "abstract": "Data from the Total Ozone Mapping Spectrometer (TOMS), which used backscattered ultraviolet radiance to infer total column ozone measurements (gridded daily for the entire globe). This CD-ROM contains one file for each day from November 1, 1978 to March 6, 1993 (with a few missing days). Each file contains data representing the relative daily areal exposures of ultraviolet (UV) radiation effective in causing skin irritation, computed at each 1 degree latitude by 1.25 degree longitude pixel, between latitudes 65S and 65N. These data were derived from measurements made by NASA's Total Ozone Mapping Spectrometer (TOMS), which was flown aboard the Nimbus-7 satellite.\r\n" }, "onlineresource_set": [] }, { "ob_id": 13808, "uuid": "e14069082faa4aba94d636f8b2d0a443", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/coapec/data/soc_flux/adjusted_clim", "numberOfFiles": 13, "volume": 7077404, "fileFormat": "Data are ASCII and netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13807, "uuid": "f154e848f42041499d17ab85140d875a", "short_code": "ob", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Southampton Oeanographic Centre (SOC) Adjusted Climatology data", "abstract": "The Coupled Ocean Atmosphere and European Climate (COAPEC) is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The British Atmospheric Data Centre (BADC) is the primary distribution data centre for COAPEC. This dataset contains adjusted climatology data from the Southampton Oceanographic Centre (SOC)." }, "onlineresource_set": [] }, { "ob_id": 13810, "uuid": "ca72ab98ac5b4f80b0e14768f73521c1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/coapec/data/soc_flux/clim", "numberOfFiles": 62, "volume": 53268489, "fileFormat": "Data are ASCII and netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13809, "uuid": "3711b9bf3ea94f8fb8e1da4df7907f0b", "short_code": "ob", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Southampton Oeanographic Centre (SOC) Climatology data", "abstract": "The Coupled Ocean Atmosphere and European Climate (COAPEC) is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The British Atmospheric Data Centre (BADC) is the primary distribution data centre for COAPEC. This dataset contains climatology data from the Southampton Oceanographic Centre (SOC)." }, "onlineresource_set": [] }, { "ob_id": 13812, "uuid": "d965d786f2f24f4db7b8745eb4f33a7b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/coapec/data/soc_flux/heat_flux_monthly", "numberOfFiles": 169, "volume": 152760243, "fileFormat": "Data are ASCII and netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13811, "uuid": "38dc8e0a65774956810e1fd811b1baad", "short_code": "ob", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Southampton Oeanographic Centre (SOC) heat flux monthly data", "abstract": "The Coupled Ocean Atmosphere and European Climate (COAPEC) is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The British Atmospheric Data Centre (BADC) is the primary distribution data centre for COAPEC. This dataset contains heat flux monthly data from the Southampton Oceanographic Centre (SOC)." }, "onlineresource_set": [] }, { "ob_id": 13814, "uuid": "56b5c963b7604434ab1c32344dd57c1c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/coapec/data/soc_flux/meteorological_monthly", "numberOfFiles": 168, "volume": 92336591, "fileFormat": "Data are ASCII and netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13813, "uuid": "3cf81bc0bc8c4769b8ac528f10c5824e", "short_code": "ob", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Southampton Oeanographic Centre (SOC) meteorological monthly data", "abstract": "The Coupled Ocean Atmosphere and European Climate (COAPEC) is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The British Atmospheric Data Centre (BADC) is the primary distribution data centre for COAPEC. This dataset contains heat flux monthly data from the Southampton Oceanographic Centre (SOC)." }, "onlineresource_set": [] }, { "ob_id": 13816, "uuid": "3a2c9c8993b2412ebfd92356fedfde8d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/specs/data/SPECS/output/ECMWF/IFS4/aerosols/", "numberOfFiles": 30295, "volume": 480712083649, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13815, "uuid": "4a05dc87a3b14b049ea3a7546e7d2ba5", "short_code": "ob", "title": "SPECS - ECMWF-IFS4 Model data prepared for SPECS aerosols (1992-2012)", "abstract": "This dataset includes the ECMWF-IFS4 model output prepared for SPECS aerosols (1992-2012). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. \r\n\r\nModel id is IFS4 (atmosphere: IFS4(20150701,CY42R1,N128TL255L91); ocean:NEMO3.4.1(L34E5,ORCA1_Z42,1°L42); seaice:N/A; MACC:N/A; land:CHTESSEL,ERA-Interim forcing, no lakes, no wave tiling (CY40R3, internal exp.id g3db, climate.v009); wave:WAM(CY42R1,1°); ozone:Cariolle(v2.9); climversion:climate.v012), forced with tropospheric sulphate climatology from HadGEM2-ES [Bellouin et al (2011): Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2-ES and the role of ammonium nitrate, J. Geophys. Res., 116, D20206, doi:10.1029/2011JD016074] over different climate periods.\r\n\r\nfrequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt pr psl rlut rsds tas tasmax tasmin tdps uas vas\r\n\r\nMonthly atmos variables:\r\nal clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut snld ta tas tasmax tasmin tdps uas vas zg\r\n\r\n" }, "onlineresource_set": [ 8340 ] }, { "ob_id": 13818, "uuid": "837dc6fb6eda4b3fa3a596a541e59786", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/specs/data/SPECS/output/ECMWF/IFS4/snowInit/", "numberOfFiles": 149843, "volume": 2343168101397, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13817, "uuid": "e2fa7ab1d5b34e2b928b23488329ddef", "short_code": "ob", "title": "SPECS - ECMWF-IFS4 Model data prepared for SPECS SnowInit (2004-2014)", "abstract": "This dataset includes the ECMWF-IFS4 model output prepared for SPECS SnowInit (2004-2014). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. \r\n\r\nModel id is IFS4 (atmosphere: IFS4(201505212,CY42R1,N128TL255L91); ocean:NEMO3.4.1(L34E5,ORCA1_Z42,1°L42); seaice:N/A; MACC:N/A; land:CHTESSEL,ERA-Interim forcing, lakes, fixed glaciers (CY41R1, internal exp.id gd80, climate.v012); wave:WAM(CY41R1,1°); ozone:Cariolle(v2.9); climversion:climate.v012), no external forcing.\r\n\r\nfrequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt pr psl rlut rsds tas tasmax tasmin tdps uas vas\r\n\r\nMonthly atmos variables:\r\nal clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut snld ta tas tasmax tasmin tdps uas vas zg\r\n\r\n" }, "onlineresource_set": [ 8344 ] }, { "ob_id": 13820, "uuid": "5acd06f1a65941a8957863de766e56d0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/specs/data/SPECS/output/ECMWF/IFS4/soilMoistureInit/", "numberOfFiles": 52801, "volume": 939955274514, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13819, "uuid": "c206cf8a07164b80ac6d6af5a03f45a3", "short_code": "ob", "title": "SPECS - ECMWF-IFS4 Model data prepared for SPECS SoilMoistureInit (1981-2013)", "abstract": "This dataset includes the ECMWF-IFS4 model output prepared for SPECS SoilMoistureInit (1981-2013). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. \r\n\r\nModel id is IFS4 (atmosphere: IFS4(201505212,CY41R1,N128TL255L91); ocean:NEMO3.4.1(L34E5,ORCA1_Z42,1°L42); seaice:N/A; MACC:N/A; land:CHTESSEL,ERA-Interim forcing, active lakes, GPCP correction, carbon fixes (CY40R1, internal exp.id g2ze, climate.v009); wave:WAM(CY41R1,1°); ozone:Cariolle(v2.9); climversion:climate.v010), no external forcing.\r\n\r\nfrequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt pr psl rlut rsds tas tasmax tasmin tdps uas vas\r\n\r\nMonthly atmos variables:\r\nal clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut snld ta tas tasmax tasmin tdps uas vas zg\r\n\r\n" }, "onlineresource_set": [ 8347 ] }, { "ob_id": 13822, "uuid": "792a5cef917d43a0810565999cbbc412", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/specs/data/SPECS/output/MOHC/GloSea5/aerosols", "numberOfFiles": 8449, "volume": 116928203184, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13821, "uuid": "0d549f8edc9442b29e3a6b92c517df0f", "short_code": "ob", "title": "SPECS - MOHC-GloSea5 model output prepared for SPECS aerosols (1992-2012)", "abstract": "This dataset includes the Met Office GloSea5 model output prepared for SPECS aerosols (1992-2012). These data were prepared by the Met Office Hadley Centre, as part of the SPECS project. \r\n \r\nModel id is GloSea5 (GloSea5: HadGEM3 v3.0 (2014); atmosphere: UM (GA3.0) ; ocean: NEMO (v2, ORCA0.25) ; coupler: OASIS3 (v3.3); sea ice: CICE), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\npr psl rls rlut tas tasmax tasmin\r\n\r\nMonthly atmos variables:\r\npr psl ta tas zg\r\n\r\nMonthly seaIce variables:\r\nsic sit snd\r\n\r\nOcean variables:\r\nso thetao tos uo vo\r\n" }, "onlineresource_set": [ 8348 ] }, { "ob_id": 13824, "uuid": "d019b2503e574eae9aa05d38517d5d99", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/ukv/1.5km70lev/r2015_02", "numberOfFiles": 1401, "volume": 745383863588, "fileFormat": "Met Office PP file format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13823, "uuid": "d51e1062534b4429a312b5f52b54a2c9", "short_code": "ob", "title": "Data from the 1.5km70lev configuration of the Met Office UKV NWP model - Release 02/2015", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the Variable resolution UK (UKV) part of the Met Office Unified Model. This latest configuration of the UM model has a high resolution inner domain (1.5 km grid boxes) over the area of forecast interest, separated from a coarser grid (4 km) near the boundaries by a variable resolution transition zone. This variable resolution approach allows the boundaries to be moved further away from the region of interest, reducing unwanted boundary effects on the forecasts. The UKV model is kept close to observations using 3D-Var data assimilation every 3 hours. This archive is currently being populated at the BADC." }, "onlineresource_set": [ 8351 ] }, { "ob_id": 13826, "uuid": "e7f7b8afd41a47c8ab87c62239bc7eb0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/ukv/1.5km70lev/r2015_03", "numberOfFiles": 4246, "volume": 2200936568559, "fileFormat": "Met Office PP file format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13825, "uuid": "91d911dbf6de45bcb723edc677dde11c", "short_code": "ob", "title": "Data from the 1.5km70lev configuration of the Met Office UKV NWP model - Release 03/2015", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the Variable resolution UK (UKV) part of the Met Office Unified Model. This latest configuration of the UM model has a high resolution inner domain (1.5 km grid boxes) over the area of forecast interest, separated from a coarser grid (4 km) near the boundaries by a variable resolution transition zone. This variable resolution approach allows the boundaries to be moved further away from the region of interest, reducing unwanted boundary effects on the forecasts. The UKV model is kept close to observations using 3D-Var data assimilation every 3 hours. This archive is currently being populated at the BADC." }, "onlineresource_set": [ 8352 ] }, { "ob_id": 13828, "uuid": "39c2331130bb41149fe719f4b02d3e10", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/ukv/1.5km70lev/r2014_01", "numberOfFiles": 6987, "volume": 3574986383083, "fileFormat": "Met Office PP file format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13827, "uuid": "d514c0da6b724a4aa2254477faae659b", "short_code": "ob", "title": "Data from the 1.5km70lev configuration of the Met Office UKV NWP model - Release 01/2014", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the Variable resolution UK (UKV) part of the Met Office Unified Model. This latest configuration of the UM model has a high resolution inner domain (1.5 km grid boxes) over the area of forecast interest, separated from a coarser grid (4 km) near the boundaries by a variable resolution transition zone. This variable resolution approach allows the boundaries to be moved further away from the region of interest, reducing unwanted boundary effects on the forecasts. The UKV model is kept close to observations using 3D-Var data assimilation every 3 hours. This archive is currently being populated at the BADC." }, "onlineresource_set": [ 8353 ] }, { "ob_id": 13830, "uuid": "42920d93a86e491c8aaf7a36d91a8c15", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/ukv/1.5km70lev/r2014_07", "numberOfFiles": 8080, "volume": 4135067204176, "fileFormat": "Met Office PP file format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13829, "uuid": "24c44cfa03dc46699c1b1f7ab146e9d7", "short_code": "ob", "title": "Data from the 1.5km70lev configuration of the Met Office UKV NWP model - Release 07/2014", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the Variable resolution UK (UKV) part of the Met Office Unified Model. This latest configuration of the UM model has a high resolution inner domain (1.5 km grid boxes) over the area of forecast interest, separated from a coarser grid (4 km) near the boundaries by a variable resolution transition zone. This variable resolution approach allows the boundaries to be moved further away from the region of interest, reducing unwanted boundary effects on the forecasts. The UKV model is kept close to observations using 3D-Var data assimilation every 3 hours. This archive is currently being populated at the BADC." }, "onlineresource_set": [ 8354 ] }, { "ob_id": 13833, "uuid": "e0c7086142084d5eb7bec667cbae5e31", "short_code": "result", "curationCategory": "", "dataPath": "/badc/proc-earth-model/data/ozone-metrics/v2.7", "numberOfFiles": 18, "volume": 14159289740, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13832, "uuid": "c0455ab814224a05ac74642d3d44b73e", "short_code": "ob", "title": "Gridded Global Surface Ozone Metrics data (1971-2015) for Atmospheric Chemistry Model Evaluation - version 2.7", "abstract": "This dataset consists of version 2.7 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": 13834, "uuid": "72d7057cfe194c0e95095513935a14a6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/global/25km70lev/r2014_01", "numberOfFiles": 4205, "volume": 6772337838932, "fileFormat": "Met Office PP format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13831, "uuid": "f85ad3fabc0d434c97aaaa55af68fb7a", "short_code": "ob", "title": "Data from the 25km70lev configuration of the Met Office Global NWP model - Release 01/2014", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the global atmospheric part of the Met Office Unified Model. Analyses and first forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive currently holds data from January 2012 onwards but data will be back populated for earlier years." }, "onlineresource_set": [ 8362 ] }, { "ob_id": 13836, "uuid": "d5f8b43af9ea4849b3837e58c41e86e0", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-nwp/data/global/17km70lev/r2014_07", "numberOfFiles": 4719, "volume": 6752678274940, "fileFormat": "Met Office PP file format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13835, "uuid": "8e6cf60c24104ffc935479d46ae9b9d2", "short_code": "ob", "title": "Data from the 17km70lev configuration of the Met Office Global NWP model - Release 07/2014", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the global atmospheric part of the Met Office Unified Model. Analyses and first forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive currently holds data from January 2012 onwards but data will be back populated for earlier years." }, "onlineresource_set": [ 8373 ] }, { "ob_id": 13838, "uuid": "ab267666cf1a46c59ea3d5e655657ff3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/global/17km70lev/r2015_02", "numberOfFiles": 85, "volume": 491758697942, "fileFormat": "Met Office PP file format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13837, "uuid": "184178016a654c7ba6d961593783f67e", "short_code": "ob", "title": "Data from the 17km70lev configuration of the Met Office Global NWP model - Release 02/2015", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the global atmospheric part of the Met Office Unified Model. Analyses and first forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive currently holds data from January 2012 onwards but data will be back populated for earlier years." }, "onlineresource_set": [ 8375 ] }, { "ob_id": 13840, "uuid": "6a710f0c189e4b309e09c8cc677fb774", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/global/17km70lev/r2015_03", "numberOfFiles": 951, "volume": 2268066497889, "fileFormat": "Met Office PP file format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13839, "uuid": "442ca7e6428543ad88d5721f98edc746", "short_code": "ob", "title": "Data from the 17km70lev configuration of the Met Office Global NWP model - Release 03/2015", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the global atmospheric part of the Met Office Unified Model. Analyses and first forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive currently holds data from January 2012 onwards but data will be back populated for earlier years." }, "onlineresource_set": [ 8377 ] }, { "ob_id": 13842, "uuid": "2d426b264bb145209210f432d334a30c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-nwp/data/nae/12km70lev/r2014_01", "numberOfFiles": 2, "volume": 996, "fileFormat": "Met Office PP file format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13841, "uuid": "0ab0219cfaa34d39ad6330126788ebb9", "short_code": "ob", "title": "Data from the 12km70lev configuration of the Met Office NAE NWP model - Release 01/2014", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the North Atlantic European (NAE) part of the Met Office Unified Model. The NAE model runs on a grid centred around the UK. Analyses and first forecast steps are stored to give an hourly resolution for 6 hours following each analysis time-step. This archive currently holds data from January 2012 onwards but data will be back populated for earlier years." }, "onlineresource_set": [ 8386 ] }, { "ob_id": 13844, "uuid": "05fd96cdd814481dbc014a99f1d4de94", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/qpenso/forced", "numberOfFiles": 26, "volume": 13229268917, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13843, "uuid": "3fc2832bfdff45ceaf0d675461446d2e", "short_code": "ob", "title": "QPENSO: Forced monthly mean ocean and atmosphere model fields measurements", "abstract": "Model simulations undertaken by the Quantifying variability of the El Nino Southern Oscillation on adaptation-relevant time scales using a novel palaeodata-modelling approach (QPENSO) project. These are coupled ocean-atmosphere experiments with a modified version of the HadCM3 (UM version 4.5) climate model. The model has been modified to include stable isotopes of oxygen in both the ocean and atmosphere sub-models, after Tindall et al., 2009. The simulations are grouped into two experiments: 1) 'picontrol', comprising a single 750 year duration unforced pre-industrial boundary condition simulation; 2) 'forced', comprising a suite of six historical simulations of the interval 1160-1360 AD and including changes in solar, volcanic and greenhouse gas forcing. The six simulations represent an initial-condition ensemble over this interval. This dataset contains the forced experiment data.\r\nThis project was funded by NERC." }, "onlineresource_set": [ 8394 ] }, { "ob_id": 13846, "uuid": "2456e4c400cc4cf9bb763a7cad0ae736", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/nerc-rm2010/data/amazon-isoprene/Barkley.jgr.2013", "numberOfFiles": 120140, "volume": 1486842655451, "fileFormat": "Typically GEOS-Chem binary-punch outputs *.bpch.\r\nOther files are straight binary ending in *.bin.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13845, "uuid": "4c810bfa53d14595a87a6e0eeb9c6d7d", "short_code": "ob", "title": "Top‐down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns: High-Resolution Chemistry Model Simulations and Analysis", "abstract": "The Quantifying the Amazon Isoprene Budget: Reconciling Top-down versus Bottom-up Emission Estimates project produced a unique high resolution model (GEOS-Chem version v8-03-01 - with modifications) for the Amazon, which simulated isoprene emissions and atmospheric chemistry. \r\n\r\nFormaldehyde (HCHO) vertical column measurements from the Scanning\r\nImaging Absorption spectrometer for Atmospheric Cartography (SCIAMACHY) and\r\nOzone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem\r\nchemistry transport model, are used to infer an ensemble of top-down isoprene emission estimates\r\nfrom tropical South America during 2006, using different model configurations and\r\nassumptions in the HCHO air-mass factor (AMF) calculation. Scenes affected by biomass\r\nburning are removed on a daily basis using fire count observations, and the local\r\nmodel sensitivity was used to identify locations where the impact of spatial smearing is small,\r\nthough this comprises spatial coverage over the region\r\n\r\nResults of this project are presented in the following publication:\r\n\r\nBarkley, M. P., et al. (2013), Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns, J. Geophys. Res. Atmos., 118, 6849–6868, doi:10.1002/jgrd.5055\r\n\r\nand model outputs associated to this project are archived at CEDA.\r\n\r\nThis was a NERC funded project." }, "onlineresource_set": [ 8402 ] }, { "ob_id": 13849, "uuid": "6fd09834e8ed48f4a9e3ab4170226f30", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadrt/data/HadRT2.1", "numberOfFiles": 10, "volume": 143952956, "fileFormat": "The data are ASCII formatted (plain text and \"human\" readable) see Met Office HadRT2.1 data format information in docs for more information.\r\n", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13848, "uuid": "3ab1423a6b8d43afa7199b0331e1d65f", "short_code": "ob", "title": "HADRT2.1: Bias adjusted global monthly fields of radiosonde temperature anomalies (1958-2004)", "abstract": "The HADRT2.1 data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 5 degree latitude by 10 degree longitude grid from 1958 to July 2004. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.1 is as HadRT2.0 but with bias corrections made to many station time series world-wide. The adjustments were calculated by reference to MSU data products, but only for known changes in instrumental or operational procedures for the period post 1979. No data are available for the 30hPa level in this version. \r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA." }, "onlineresource_set": [ 8409 ] }, { "ob_id": 13851, "uuid": "0198af2d005e4089a8f2fab4d836a47a", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadrt/data/HadRT2.1s", "numberOfFiles": 10, "volume": 143952991, "fileFormat": "The data are ASCII formatted (plain text and \"human\" readable) see Met Office HadRT2.1s data format information in docs for more information.\r\n", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13850, "uuid": "07ed7f0f45de4842bdba129f28446bb7", "short_code": "ob", "title": "HADRT2.1s: Bias adjusted global monthly radiosonde temperature anomalies that is combined from HadRT2.0 and HadRT2.1 (1958-2004)", "abstract": "The HADRT2.1s data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 5 degree latitude by 10 degree longitude grid from 1958 to July 2004. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.1s is a combination of HadRT2.0 in the troposphere (up to and including 200hPa) and HadRT2.1 in the stratosphere (above 200hPa). \r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA." }, "onlineresource_set": [ 8412 ] }, { "ob_id": 13853, "uuid": "7bfbc6ad9b914c228486c315bd06abc4", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadrt/data/HadRT2.2", "numberOfFiles": 9, "volume": 6273826, "fileFormat": "The data are ASCII formatted (plain text and \"human\" readable) see Met Office HadRT2.2 data format information in docs for more information.\r\n", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13852, "uuid": "441a1bb6d9ad469eb86b76e61ab0ce6b", "short_code": "ob", "title": "HADRT2.2: Reconstructed gridded data set of global monthly radiosonde temperature anomalies, derived from HadRT2.1 (1958-2000)", "abstract": "The HADRT2.2 data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 10 degree latitude by 20 degree longitude grid from 1958 to 2000. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.2 is an eigenvector reconstructed grid data set from 1958 - 2000, on a 10 degree latitude by 20 degree longitude grid, created from HadRT2.1. The eigenvector reconstruction was used to infill missing seasons or years in boxes with 70% of seasonal or annual data available. \r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA." }, "onlineresource_set": [ 8415 ] }, { "ob_id": 13855, "uuid": "9a48b45b965946eeb56c82357abee806", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadrt/data/HadRT2.2u", "numberOfFiles": 9, "volume": 6273826, "fileFormat": "The data are in ASCII format, see Met Office Hadley Centre HadRT2.2u data format information in docs for more information. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13854, "uuid": "2ec6c091abad4241915f4bfdf8c9e33b", "short_code": "ob", "title": "HADRT2.2u: Reconstructed gridded data set of global monthly radiosonde temperature anomalies derived from HadRT2.0 (1958-2000)", "abstract": "The HADRT2.2u data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 10 degree latitude by 20 degree longitude grid from 1958 to 2000. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.2u are as HADRT2.2 but created from HADRT2.0.\r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA." }, "onlineresource_set": [ 8418 ] }, { "ob_id": 13857, "uuid": "70f02c905dcc40fbb30e8972349620b2", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadrt/data/HadRT2.3", "numberOfFiles": 9, "volume": 118115426, "fileFormat": "The data are in ASCII format, see Met Office Hadley Centre HadRT2.3 data format information in docs for more information. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13856, "uuid": "4ae1ae0cdbc04533b5e626a811d056f7", "short_code": "ob", "title": "HADRT2.3: Globally complete monthly radiosonde temperature anomalies derived from HadRT2.1 (1958-2000)", "abstract": "The HADRT2.3 data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 5 degree latitude by 10 degree longitude grid from 1958 to 2000. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.3 is a globally complete dataset based on HadRT2.1 1958-2000, but with gaps filled in by reference to the second derivative of the corresponding NCEP reanalysis temperature fields, using the Laplacian technique of Reynolds, 1988: A Real-Time Global Sea Surface Temperature Analysis. J. Climate (see docs for a link to this publication) \r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA." }, "onlineresource_set": [ 8421 ] }, { "ob_id": 13859, "uuid": "7da6be175e9f451c8f0d871f78f9677b", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadrt/data/HadRT2.3s", "numberOfFiles": 9, "volume": 118115428, "fileFormat": "The data are in ASCII format, see Met Office Hadley Centre HadRT2.3s data format information in docs for more information. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13858, "uuid": "565da99a865c452ea3192c73a9f95b2a", "short_code": "ob", "title": "HADRT2.3s: Globally complete monthly radiosonde temperature anomalies derived from HadRT2.1s (1958-2000)", "abstract": "The HADRT2.3s data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 5 degree latitude by 10 degree longitude grid from 1958 to 2000. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.3s is as HadRT2.3 but using HadRT2.1s.\r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA." }, "onlineresource_set": [ 8426 ] }, { "ob_id": 13861, "uuid": "c15b502c755e4788bd952bba35ea3b90", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadat/data/HadAT1", "numberOfFiles": 11, "volume": 20955427, "fileFormat": "The data are available in ASCII and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13860, "uuid": "74dc0b4a315445b28046c77af932a735", "short_code": "ob", "title": "HadAT1 - Met Office Globally gridded radiosonde temperature anomalies version 1 (1958 to 2002)", "abstract": "The HadAT1 data are global radiosonde gridded temperature anomalies at standard levels (850, 700, 500, 300, 200, 150, 100, 50, and 30hPa) in the troposphere and in the lower stratosphere from 1958 to December 2002. This monthly timeseries are available on a 10 degree longitude by 5 degree latitude basis. This dataset supersedes the HadRT dataset. All values are anomalies relative to the monthly 1966-95 climatology.\r\n\r\n\r\n" }, "onlineresource_set": [ 8445 ] }, { "ob_id": 13863, "uuid": "751578c1c2b14688aa3d34dccd8129a2", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadat/data/HadAT2", "numberOfFiles": 36, "volume": 119640373, "fileFormat": "The data are available in ASCII and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13862, "uuid": "a07c1595026845a4af1f81522f0ccb7d", "short_code": "ob", "title": "HadAT2 - Met Office Globally gridded radiosonde temperature anomalies version 2 (1958 to 2012)", "abstract": "The HadAT2 data are global radiosonde gridded temperature anomalies at standard levels (850, 700, 500, 300, 200, 150, 100, 50, and 30hPa) in the troposphere and in the lower stratosphere from 1958 to December 2012. This monthly timeseries are available on a 10 degree longitude by 5 degree latitude basis. This dataset supersedes the HadRT dataset. All values are anomalies relative to the monthly 1966-95 climatology.\r\n\r\n\r\n" }, "onlineresource_set": [ 8450 ] }, { "ob_id": 13865, "uuid": "63cca7b5ddd24b6abfeff2505df49dd8", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadat/data/MSU_equivalent", "numberOfFiles": 19, "volume": 22303459, "fileFormat": "The data are available in ASCII and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13864, "uuid": "c40bca21cdfb469493fc65f876a139ce", "short_code": "ob", "title": "MSU equivalent measures from HadAT2 (1958 to 2005)", "abstract": "In the interests of having MSU-equivalent HadAT timeseries available for immediate comparisons with these satellite-derived data, the Hadley Centre have created a set of MSU equivalent measures under very specific criteria. Although justifiable, many of the decisions they have made are subjective and alternative choices could be made that would appear, at least initially, to be equally plausible. Final MSU equivalent measures for the monthly HadAT2 timeseries are available as well as a number of intermediate products required to produce these from the Temperature on Pressure Levels data.\r\n\r\nFor more information on the real MSU instruments, their measurements and their climate timeseries are available from the University of Alabama in Huntsville and Remote Sensing Systems (external links)." }, "onlineresource_set": [ 8455 ] }, { "ob_id": 13867, "uuid": "0d54653d656f43b7a92d2d07f9b1716c", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-hadat/data/Uncertainty", "numberOfFiles": 14, "volume": 42993296, "fileFormat": "The data are available in ASCII and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13866, "uuid": "21179cb9d6fe48929207d8473307f6f5", "short_code": "ob", "title": "HadAT Uncertainty Estimates (1958-2002)", "abstract": "HadAT Uncertainty estimates are only available on seasonal products and up until the end of 2002." }, "onlineresource_set": [ 8466 ] }, { "ob_id": 13869, "uuid": "909d5fc5d86546a9a83c1ec157d20633", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-gosta/data/mohsst6_jones", "numberOfFiles": 3, "volume": 861084, "fileFormat": "Data are ASCII formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13868, "uuid": "5aa1248620a14e609341b6aa7d8d984f", "short_code": "ob", "title": "Monthly and Seasonal Blended MOHSST6-Jones Land Surface Air Temperature Dataset (1856-2002)", "abstract": "Blending a sea-surface temperature (SST) dataset with land air temperature makes an implicit assumption that SST anomalies are a good surrogate for marine air temperature anomalies. It has been shown that this is the case, and that marine SST measurements provide more useful data and smaller sampling errors than marine air temperature measurements would. So blending SST anomalies with land air temperature anomalies is a sensible choice.\r\n\r\nThis dataset contains monthly and seasonal blended sea-surface temperatures (MOHSST6) with land air temperature data from the Climatic Research Unit (CRU) at the University of East Anglia (P.D. Jones). \r\n\r\nData are represented on 5 deg. grids from 1856 to May 2002. \r\n\r\nThe data were provided by the Met Office." }, "onlineresource_set": [ 8486 ] }, { "ob_id": 13871, "uuid": "3da30a12ed274e0aa7f78f808178d685", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-cet/data/v1.0.0.0/monthly", "numberOfFiles": 8, "volume": 202473, "fileFormat": "ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 42, "uuid": "f6d0bf66cb6245bb8df392660de956fd", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 13870, "uuid": "37acfb4514ca4ef7b711e2cf568280a4", "short_code": "ob", "title": "Monthly Mean, Minimum and Maximum Central England Temperature series", "abstract": "The longest available instrumental record of temperature in the world is now available at the BADC. The monthly data starts in 1659.\r\n\r\nThe mean, minimum and maximum datasets are updated monthly, with data for a month usually available by the 3rd of the next month. A provisional CET value for the current month is calculated on a daily basis. The mean monthly data series begins in 1659. Mean maximum and minimum daily and monthly data are also available, beginning in 1878. \r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London). \r\n\r\nThe following stations are used by the Met Office to compile the CET data: Rothamsted, Malvern, Squires Gate and Ringway.\r\n\r\nBut in November 2004, the weather station Stonyhurst replaced Ringway and revised urban warming and bias adjustments have now been applied to the Stonyhurst data after a period of reduced reliability from the station in the summer months. \r\n\r\nThe data set is compiled by the Met Office Hadley Centre." }, "onlineresource_set": [ 8518 ] }, { "ob_id": 13873, "uuid": "303d340c6fc24267b7cf3f3f75e82a0f", "short_code": "result", "curationCategory": "B", "dataPath": "/badc/ukmo-cet/data/v1.0.0.0/seasonal", "numberOfFiles": 7, "volume": 71957, "fileFormat": "ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 45, "uuid": "b084814bc2cf430f93bdc66e82415c33", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 13872, "uuid": "268cfd67e1d148fe8120655c6b8de402", "short_code": "ob", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature series", "abstract": "The longest available instrumental record of temperature in the world is now available at the BADC. The seasonal data starts in 1659.\r\n\r\nThe mean, minimum and maximum datasets are updated monthly, with data for a month usually available by the 3rd of the next month. A provisional CET value for the current month is calculated on a daily basis. The mean monthly data series begins in 1659. Mean maximum and minimum daily and monthly data are also available, beginning in 1878. \r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London). \r\n\r\nThe following stations are used by the Met Office to compile the CET data: Rothamsted, Malvern, Squires Gate and Ringway.\r\n\r\nBut in November 2004, the weather station Stonyhurst replaced Ringway and revised urban warming and bias adjustments have now been applied to the Stonyhurst data after a period of reduced reliability from the station in the summer months. \r\n\r\nThe data set is compiled by the Met Office Hadley Centre." }, "onlineresource_set": [ 8527 ] }, { "ob_id": 13876, "uuid": "9feae6b7694748058a51c553c30730d3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/ashoe94/data/model", "numberOfFiles": 64, "volume": 34498206, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13875, "uuid": "8ad776840f484c06abdaf69f250f48c1", "short_code": "ob", "title": "Airborne Southern Hemisphere Ozone Experiment (ASHOE) / Measurements for Assessing the Effects of Stratospheric Aircraft (MAESA): Model data", "abstract": "Airborne Southern Hemisphere Ozone Experiment and Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA) was a combined experiment which was conducted in four phases between March and November 1994 at NASA Ames Research Center, California; Barbers Point, Hawaii; and Christchurch, New Zealand. This dataset contains 00 Z and 12 Z analyses of meteorological parameters on isentropic and isobaric surfaces. From the GSFC Assimilation Model with each file containing analyses for one time period." }, "onlineresource_set": [] }, { "ob_id": 13880, "uuid": "a2de7dcf24584d829f482af3de6df79f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/spade9293/data/raob", "numberOfFiles": 237, "volume": 50735430, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13879, "uuid": "4b2ae137815b4128aee88363a51421e9", "short_code": "ob", "title": "Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) Project: Radiosonde measurements", "abstract": "The Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) was based at the NASA Ames Research Centre in California during portions of 1992 and 1993. This dataset contains selected radiosonde soundings near the aircraft flight tracks.\r\n\r\nThe overall data collection consist of measurements collected onboard the NASA ER-2 aircraft, and selected radiosonde soundings from stations in the region of the experiment. Flights were conducted during October and November of 1992, April and May of 1993, and October of 1993.\r\n\r\nTheory team products come in two forms: as quantities evaluated along flight tracks and as global or hemispheric fields. Meteorological quantities, such as temperature, geopotential, and potential vorticity are available in both forms. They are based on analyses from both the U.S. National Meteorological Center and from the Assimilation Model of NASA's Goddard Space Flight Center. Other quantities, available along flight tracks only, include visible reflectivity, cloud height, UV reflectivity, and total ozone. The first two are derived from GOES imagery, the last two from the Meteor TOMS sensor. Finally, calculations of mixing ratios of selected chemical species using a photochemical steady state model are available along the flight track." }, "onlineresource_set": [] }, { "ob_id": 13883, "uuid": "bdd1084bda994fa7a0406dd8faa40c88", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/spade9293/data/model", "numberOfFiles": 107, "volume": 20791316, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13882, "uuid": "afca42c450c14a1ca4b9f67fa8410ee7", "short_code": "ob", "title": "Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) Project: Model measurements", "abstract": "The Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) was based at the NASA Ames Research Centre in California during portions of 1992 and 1993. This dataset contains 12 Z hemispheric analyses of potential vorticity, temperature, horizontal winds, and geopotential model data.\r\n\r\nThe overall data collection consist of measurements collected onboard the NASA ER-2 aircraft, and selected radiosonde soundings from stations in the region of the experiment. Flights were conducted during October and November of 1992, April and May of 1993, and October of 1993.\r\n\r\nTheory team products come in two forms: as quantities evaluated along flight tracks and as global or hemispheric fields. Meteorological quantities, such as temperature, geopotential, and potential vorticity are available in both forms. They are based on analyses from both the U.S. National Meteorological Center and from the Assimilation Model of NASA's Goddard Space Flight Center. Other quantities, available along flight tracks only, include visible reflectivity, cloud height, UV reflectivity, and total ozone. The first two are derived from GOES imagery, the last two from the Meteor TOMS sensor. Finally, calculations of mixing ratios of selected chemical species using a photochemical steady state model are available along the flight track." }, "onlineresource_set": [] }, { "ob_id": 13886, "uuid": "918c547cf315406c8882e5f4c1f1c30b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight02", "numberOfFiles": 9, "volume": 3841707, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13885, "uuid": "ca04d952d1724f1fbb99a167f45514e3", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 2 of the NASA ER-2 aircraft", "abstract": "Data from the flight 2 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13888, "uuid": "b710a1c592014016a5b73511a6d5fbaf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight03", "numberOfFiles": 9, "volume": 2291106, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13887, "uuid": "d0763120fe47455c987ffceb259ffd2f", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 3 of the NASA ER-2 aircraft", "abstract": "Data from the flight 3 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13890, "uuid": "f9cf461ebd334eb7be62ae2d96d373d9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight04", "numberOfFiles": 9, "volume": 2343071, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13889, "uuid": "b6625bf983f043108e0230f8795c31fd", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 4 of the NASA ER-2 aircraft", "abstract": "Data from the flight 4 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13892, "uuid": "bd0c2d4d2e954fb7ac9898a58e9d5eee", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight05", "numberOfFiles": 11, "volume": 3359786, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13891, "uuid": "67dcd3885bdb452c863c651920c3b527", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 5 of the NASA ER-2 aircraft", "abstract": "Data from the flight 5 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13894, "uuid": "b0caee86973c4c179cc0009ebbb00adb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight06", "numberOfFiles": 14, "volume": 3630273, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13893, "uuid": "99125c8c9d834b4a9834dcf1bac8479b", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 6 of the NASA ER-2 aircraft", "abstract": "Data from the flight 6 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13896, "uuid": "c45c4675ba89431985c15534013687db", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight07", "numberOfFiles": 13, "volume": 2366468, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13895, "uuid": "165a7e52a4ce43daa57957daa86c1b61", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 7 of the NASA ER-2 aircraft", "abstract": "Data from the flight 7 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13898, "uuid": "2d38d662d05744a7b618a83505c4962b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight08", "numberOfFiles": 14, "volume": 3115646, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13897, "uuid": "3b8c321d757d4c758b6c5ebba1f45fbf", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 8 of the NASA ER-2 aircraft", "abstract": "Data from the flight 8 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13900, "uuid": "c9807d49aaf24bd6840160326ed15fe2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight09", "numberOfFiles": 14, "volume": 3345197, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13899, "uuid": "be4778b0d20943e8badb9cf4f1fff814", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 9 of the NASA ER-2 aircraft", "abstract": "Data from the flight 9 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13902, "uuid": "eb3f5b20462f44f5bff5a94fc115acc2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight10", "numberOfFiles": 13, "volume": 2807682, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13901, "uuid": "6915e14068c44feea1834b42d6da9598", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 10 of the NASA ER-2 aircraft", "abstract": "Data from the flight 10 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13904, "uuid": "4ee86752bdec4111bd5e402a7405c898", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight11", "numberOfFiles": 16, "volume": 4809351, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13903, "uuid": "d6be21619548408dbd687dd6dbd35533", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 11 of the NASA ER-2 aircraft", "abstract": "Data from the flight 11 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13906, "uuid": "bfd11289b9c94b1f88e92d73203fe097", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight12", "numberOfFiles": 14, "volume": 3455264, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13905, "uuid": "2300d03f06f74346a08964ba07aa2de1", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 12 of the NASA ER-2 aircraft", "abstract": "Data from the flight 12 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13910, "uuid": "64e45137615646e0a2eb7df0d902dc32", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight13", "numberOfFiles": 14, "volume": 4148399, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13909, "uuid": "e49d68d5b3b94f74b2fd2e49c97e7dc9", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 13 of the NASA ER-2 aircraft", "abstract": "Data from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13912, "uuid": "eb2520e701ac49eabeca28c67b473a0e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight14", "numberOfFiles": 14, "volume": 3552931, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13911, "uuid": "68479838c83641618042727ffeada8c2", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 14 of the NASA ER-2 aircraft", "abstract": "Data from the flight 14 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13914, "uuid": "b1928d142acc4d7ba1527a9040f22b85", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight15", "numberOfFiles": 6, "volume": 962100, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13913, "uuid": "504a38db5c694958938d7010e2ccd203", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 15 of the NASA ER-2 aircraft", "abstract": "Data from the flight 15 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13916, "uuid": "44568376febe4e3f981841345db0ca88", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight16", "numberOfFiles": 7, "volume": 3016486, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13915, "uuid": "1e00bacbea444638944a3ed2cd8f255e", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 16 of the NASA ER-2 aircraft", "abstract": "Data from the flight 16 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13918, "uuid": "6208756e34b6409cbc3755bd16d4898c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/CDs/step87/step87/data/flight17", "numberOfFiles": 7, "volume": 1961808, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13917, "uuid": "8f59c57d0d1f4cbc830259c5f01148dd", "short_code": "ob", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 17 of the NASA ER-2 aircraft", "abstract": "Data from the flight 17 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." }, "onlineresource_set": [] }, { "ob_id": 13925, "uuid": "fd2a62edfa91499abd465db5708241a5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gfdex/data/radiosonde", "numberOfFiles": 588, "volume": 321322884, "fileFormat": "Data are ASCII formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13924, "uuid": "04b023e8d39544fd9e89b666e1e69fe0", "short_code": "ob", "title": "Greenland Flow Distortion EXperiment (GFDex): Radiosonde measurements", "abstract": "The Greenland Flow Distortion EXperiment investigates the role of Greenland in defining the structure and the predictability of both local and downstream weather systems, through a programme of aircraft-based observation and numerical modelling. The Greenland Flow Distortion Experiment (GFDex) will provide some of the first detailed in situ observations of the intense atmospheric forcing events that are thought to be important in modifying the ocean in this area (but are presently poorly understood): namely tip jets, barrier winds and mesoscale cyclones. The dataset contains radiosonde measurements from various sites around Greenland." }, "onlineresource_set": [] }, { "ob_id": 13927, "uuid": "186ee6fac49245149a64876a81ecd51c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/hitemp/data/ASM_Data/", "numberOfFiles": 9267, "volume": 469044072, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13919, "uuid": "4aba1697ab3041148f1e5191679411dc", "short_code": "ob", "title": "HiTemp: High Density Temperature measurements within the Urban Birmingham Conurbation.", "abstract": "Temperature data from a high density network of meteorological sensors installed within the Birmingham conurbation: low-cost, battery-powered WiFi Aginova Sentinel Micro air temperature sensors were operated at 73 stations between 2012-14.\r\n\r\nThese measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)" }, "onlineresource_set": [] }, { "ob_id": 13929, "uuid": "3f87d314f6c14e02835248608f2a1ff9", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/lt/Analysis/L4/v01.1", "numberOfFiles": 7063, "volume": 135555430626, "fileFormat": "The CCI SST Analysis Product consists of daily, spatially complete fields of SST, obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) and ATSR (Along Track Scanning Radiometer) Long Term products, using optimal interpolation to provide SSTs where there were no measurements (a single file per day; 0.05° regular latitude- longitude grid). These data start in September 1991. The SSTs correspond approximately to the daily average of the temperature of the water at 20 cm depth. Uncertainty estimates are provided for each value.\r\n\r\nThe data are stored in NetCDF-4 format files. Data arrays in NetCDF files are known as ‘variables’ and each variable has metadata stored with it. Please read the ESA CCI SST Product User Guide, available in the linked documentation before using the data. There is also a Quick Start Guide.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13928, "uuid": "c65ce27928f34ebd92224c451c2a8bed", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements. These data cover the period between 09/1991 and 12/2010.\r\n\r\nThe Version 1.1 data is an update of the Version 1.0 dataset.\r\n\r\nVersion 1.0 of this dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20" }, "onlineresource_set": [] }, { "ob_id": 13932, "uuid": "7d31496d806549d7a8f8c44a304bda15", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-2b-o3/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 13935, "uuid": "7833d2f9ed444522b559a753d4d2c6ee", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-aerosol-phys", "numberOfFiles": 31, "volume": 19826460, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13934, "uuid": "b7a85765c1bc413a96e38ef851ecf9e3", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: Particle Number Size Distribution (2008-2009)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains Particle Number Size Distribution measured using a SMPS and an APS." }, "onlineresource_set": [] }, { "ob_id": 13938, "uuid": "fea5b254956a494296aefda55205781f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-gc-ms/", "numberOfFiles": 9, "volume": 235687, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13937, "uuid": "7b1677b1c05b45cba3f39f48e0c4de28", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: Halocarbon measurements (2007-2008)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains Halocarbon measurements made using a pre-concentration system coupled with a GCMS." }, "onlineresource_set": [] }, { "ob_id": 13943, "uuid": "b79d764a4d334530af903e1c313fbfb0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-met-30m/", "numberOfFiles": 84, "volume": 20864345, "fileFormat": "Data are NASA Ames formatted up to 2019 then netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 37311, "uuid": "6046863cc3354fd580ab99a441b386e7", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: 30 meter tower meteorological measurements (2011 onwards)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) made at 30 meter height." }, "onlineresource_set": [] }, { "ob_id": 13945, "uuid": "58a363099e6949cabe86529bad3ca000", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-met-tower/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 13947, "uuid": "c76da12182c048ec92e72cf576f47603", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-carbon-monoxide", "numberOfFiles": 3, "volume": 13355401, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13946, "uuid": "04ed90e98f334a8287a2f0e0aecd0f36", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: Carbon Monoxide measurements (2008 onwards)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains long term measurements of CO mixing ratio made from 7.5m using a fast response vacuum ultraviolet fluorescence CO analyser (Aerolaser 5001) 2008-2015 and using a Picarro G2401 Analyser from 2015 onwards ." }, "onlineresource_set": [] }, { "ob_id": 13950, "uuid": "008110bc8b3e445ba8f80a115daddfe4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-rainfall/", "numberOfFiles": 2, "volume": 3809, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13949, "uuid": "3672d794898c42908ca08f6ba32591ac", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: Precipitation measurements (2007-2010)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall)." }, "onlineresource_set": [] }, { "ob_id": 13954, "uuid": "8a295aa270444acdad99b128399cd82d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/cv-tgm/", "numberOfFiles": 2, "volume": 1679296, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13953, "uuid": "0ae5eb7ce3ad4885a7223dd7b69f4db6", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: Total Gaseous Mercury (TGM) measurements (2011-2015)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains Total Gaseous Mercury (TGM) measurements made from 7.5m using a Tekran CVAFS Mercury Analyser." }, "onlineresource_set": [] }, { "ob_id": 13957, "uuid": "70e688d319bb4162b89ee83e5c0e49fa", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/leic-perca/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 13960, "uuid": "143d00b4a3e6422ea46edb453a892ad1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/solas/data/capeverde/leic-sr", "numberOfFiles": 4, "volume": 28904311, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13959, "uuid": "8dae572c6c3747c79e2f2043c3c2f805", "short_code": "ob", "title": "SOLAS: Leicester Spectral Radiometer species measurements at Cape Verde Observatory (2009)", "abstract": "Data from observations made at the The Cape Verde Atmospheric Observatory (16.848N, 24.871W) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset contains Spectral Radiometer species data during Cape Verde Solas 2009 from the University of Leicester." }, "onlineresource_set": [] }, { "ob_id": 13963, "uuid": "f644573c8920463fb43d03443af0b290", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/capeverde/data/NAME-dispersion-footprints/", "numberOfFiles": 65171, "volume": 8580644311, "fileFormat": "Images are png formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 13962, "uuid": "2fa3c85d79e54bc0aa2cc4ceacaec7e6", "short_code": "ob", "title": "Cape Verde Atmospheric Observatory: NAME dispersion model footprints (2006-2018)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. 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