Related Observation Info List
Get a list of RelatedObservationInfo objects.
GET /api/v3/relatedobservationinfos/?format=api
{ "count": 1153, "next": "https://api.catalogue.ceda.ac.uk/api/v3/relatedobservationinfos/?format=api&limit=100&offset=100", "previous": null, "results": [ { "ob_id": 1, "relationType": "IsVariantFormOf", "subjectObservation": { "ob_id": 6180, "uuid": "c2112bdd5f0ad698e70be6ab54c9a2ac", "short_code": "ob", "title": "3-hourly High Resolution Brightness Temperature (BT) images", "abstract": "Global Brightness Temperature imagery from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe source data used in CLAUS are the level B3 (reduced resolution) 10 micron radiances from operational meteorological satellites participating in the International Satellite Cloud Climatology Programme (ISCCP) and were obtained from the NASA Langley Atmospheric Sciences Data Center (LASDC).\r\n\r\nDuring the CLAUS project the B3 data were first processed to create a uniform latitude-longitude grid (or image) of Brightness Temperature (BT) values at a spatial resolution of 0.5 by 0.5 degrees and temporal resolution of three hours. The B3 data were also rigorously quality controlled to remove residual noise and navigation/calibration errors that were noticed in the original processing. The 0.5 degree resolution data were updated and supplemented by a new product at one-third degree spatial resolution for use in process studies. \r\n\r\nThe CLAUS Lo-res data archive span the period 1983-2009 and the files are stored in the Portable Grey Map (PGM) format. This is a simple flat file binary format preceded by an ASCII (readable) header that contains information such as the image dimensions and version number.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)." }, "objectObservation": { "ob_id": 6182, "uuid": "ce476101711ce73107c9e90265ec6d9a", "short_code": "ob", "title": "3-hourly Low Resolution Brightness Temperature (BT) images", "abstract": "Global Brightness Temperature imagery from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe source data used in CLAUS are the level B3 (reduced resolution) 10 micron radiances from operational meteorological satellites participating in the International Satellite Cloud Climatology Programme (ISCCP) and were obtained from the NASA Langley Atmospheric Sciences Data Center (LASDC).\r\n\r\nDuring the CLAUS project the B3 data were processed to create a uniform latitude-longitude grid (or image) of Brightness Temperature (BT) values at a spatial resolution of 0.5 by 0.5 degrees and temporal resolution of three hours. Information at the grid point level about the satellites used in\r\ngenerating each BT image, and the type of interpolation applied, is held in two supplementary quality files.\r\n\r\nThe CLAUS Lo-res data archive span the period 1983-2009 and the files are stored in the Portable Grey Map (PGM) format. This is a simple flat file binary format preceded by an ASCII (readable) header that contains information such as the image dimensions and version number.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)." } }, { "ob_id": 2, "relationType": "IsVariantFormOf", "subjectObservation": { "ob_id": 6182, "uuid": "ce476101711ce73107c9e90265ec6d9a", "short_code": "ob", "title": "3-hourly Low Resolution Brightness Temperature (BT) images", "abstract": "Global Brightness Temperature imagery from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe source data used in CLAUS are the level B3 (reduced resolution) 10 micron radiances from operational meteorological satellites participating in the International Satellite Cloud Climatology Programme (ISCCP) and were obtained from the NASA Langley Atmospheric Sciences Data Center (LASDC).\r\n\r\nDuring the CLAUS project the B3 data were processed to create a uniform latitude-longitude grid (or image) of Brightness Temperature (BT) values at a spatial resolution of 0.5 by 0.5 degrees and temporal resolution of three hours. Information at the grid point level about the satellites used in\r\ngenerating each BT image, and the type of interpolation applied, is held in two supplementary quality files.\r\n\r\nThe CLAUS Lo-res data archive span the period 1983-2009 and the files are stored in the Portable Grey Map (PGM) format. This is a simple flat file binary format preceded by an ASCII (readable) header that contains information such as the image dimensions and version number.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)." }, "objectObservation": { "ob_id": 6180, "uuid": "c2112bdd5f0ad698e70be6ab54c9a2ac", "short_code": "ob", "title": "3-hourly High Resolution Brightness Temperature (BT) images", "abstract": "Global Brightness Temperature imagery from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe source data used in CLAUS are the level B3 (reduced resolution) 10 micron radiances from operational meteorological satellites participating in the International Satellite Cloud Climatology Programme (ISCCP) and were obtained from the NASA Langley Atmospheric Sciences Data Center (LASDC).\r\n\r\nDuring the CLAUS project the B3 data were first processed to create a uniform latitude-longitude grid (or image) of Brightness Temperature (BT) values at a spatial resolution of 0.5 by 0.5 degrees and temporal resolution of three hours. The B3 data were also rigorously quality controlled to remove residual noise and navigation/calibration errors that were noticed in the original processing. The 0.5 degree resolution data were updated and supplemented by a new product at one-third degree spatial resolution for use in process studies. \r\n\r\nThe CLAUS Lo-res data archive span the period 1983-2009 and the files are stored in the Portable Grey Map (PGM) format. This is a simple flat file binary format preceded by an ASCII (readable) header that contains information such as the image dimensions and version number.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)." } }, { "ob_id": 3, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 12264, "uuid": "5e878b3b9e584bccbc71b2e5094acfdb", "short_code": "ob", "title": "905 nm Vaisala CT75K Lidar Ceilometer Data from the Chilbolton Facility for Atmospheric and Radio Research (CFARR) site, Hampshire, England, 1996 - present", "abstract": "The Chilbolton Observatory, Hampshire, have had a Vaisala CT75K lidar ceilometer deployed since 13th September 1996. This dataset contains measurements of the range of first, second, and third cloud base from the lidar and attenuated backscatter coefficients of aerosols within the atmosphere. Plots of the attenuated backscatter coefficient at different heights are also available.\r\n\r\nThe instrument has been regularly calibrated using the method described by O'Connor, Ewan J., Anthony J. Illingworth, Robin J. Hogan, 2004: A Technique for Auto-calibration of Cloud Lidar. J. Atmos. Oceanic Technol., 21, 777–786. doi: http://dx.doi.org/10.1175/1520-0426(2004)021<0777:ATFAOC>2.0.CO;2 . \r\n\r\nPrior to April 2014 this technique had been applied manually, but from 2014 this was automated to provide a routine, automated application of O'Connor et al's calibration technique. This also highlighted an instrument calibration drift not previously spotted in earlier data and so a corrected data have been added to the archive for the following periods (denoted by \"_cor1\" in the filename): 1st July 2003 – 31st December 2003, January 2006 to December 2012 and February and March 2013. Users should see the data quality notes for further details.\r\n\r\nThis dataset incorporates the earlier published and citable 1996 - 2013 collection of lidar data, but continues this dataset to present" }, "objectObservation": { "ob_id": 3596, "uuid": "b7824e040083c8135bcf4aebeb00c922", "short_code": "ob", "title": "905 nm Vaisala CT75K Lidar Ceilometer Data from the Chilbolton Facility for Atmospheric and Radio Research (CFARR) site, Hampshire, England, 1996- 2013", "abstract": "The Chilbolton Observatory, Hampshire, have had a Vaisala CT75K lidar ceilometer deployed since 13th September 1996. This dataset contains measurements of the range of first, second, and third cloud base from the lidar and attenuated backscatter coefficients of aerosols within the atmosphere from 1996 to 2013. Plots of the attenuated backscatter coefficient at different heights are also available.\r\n\r\nThe instrument has been regularly calibrated using the method described by O'Connor, Ewan J., Anthony J. Illingworth, Robin J. Hogan, 2004: A Technique for Auto-calibration of Cloud Lidar. J. Atmos. Oceanic Technol., 21, 777–786. doi: http://dx.doi.org/10.1175/1520-0426(2004)021<0777:ATFAOC>2.0.CO;2 . \r\n\r\nPrior to April 2014 this technique had been applied manually, but from 2014 this was automated to provide a routine, automated application of O'Connor et al's calibration technique. This also highlighted an instrument calibration drift not previously spotted in earlier data and so a corrected data have been added to the archive for the following periods (denoted by \"_cor1\" in the filename): 1st July 2003 – 31st December 2003, January 2006 to December 2012 and February and March 2013. Users should see the data quality notes for further details.\r\n\r\nFor post 2013 data please refer to the \"all-years\" dataset." } }, { "ob_id": 4, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 3711, "uuid": "19a10a2a96d55d689a039f35d646c833", "short_code": "ob", "title": "ACSOE OXICOA EASE-96: Ground-based Atmospheric Oxidant Observations from the Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. OXICOA (OXIdising Capacity of the Ocean Atmosphere) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The Eastern Atlantic Spring/Summer Experiments (EASE 96 and EASE 97) were carried to collect data. The dataset includes measurements of the OH and HO2 radicals, measurements of halogen oxide radicals at Mace Head in conjunction with a survey of potential organic halogen source gases. In EASE 96 the Cranfield Jetstream aircraft was deployed to measure the vertical and horizontal homogeneity of the air mass." }, "objectObservation": { "ob_id": 12884, "uuid": "c8b8ff6fe0d147999e53169ab4a32d03", "short_code": "ob", "title": "ACSOE OXICOA LTERM: Chemical Climatology Data from Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) OXIdising Capacity of the Ocean Atmosphere (OXICOA) Long-Term Studies of chemical Climatology (LTERM) is the longer term studies of the Eastern Atlantic Spring/Summer Experiments (EASE-96 and EASE-97). The longer term data includes DMS, ozone and chemicals involved in its cycle, carbon and hydrocarbons." } }, { "ob_id": 5, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 3758, "uuid": "782ed83e690f0583f4f05f43a33f1d20", "short_code": "ob", "title": "ACSOE OXICOA EASE-97: Ground-based Atmospheric Oxidant Observations from the Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. OXICOA (OXIdising Capacity of the Ocean Atmosphere) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The Eastern Atlantic Spring/Summer Experiments (EASE 96 and EASE 97) were carried to collect data. The dataset includes measurements of the OH and HO2 radicals, measurements of halogen oxide radicals at Mace Head in conjunction with a survey of potential organic halogen source gases. In EASE 96 the Cranfield Jetstream aircraft was deployed to measure the vertical and horizontal homogeneity of the air mass." }, "objectObservation": { "ob_id": 12884, "uuid": "c8b8ff6fe0d147999e53169ab4a32d03", "short_code": "ob", "title": "ACSOE OXICOA LTERM: Chemical Climatology Data from Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) OXIdising Capacity of the Ocean Atmosphere (OXICOA) Long-Term Studies of chemical Climatology (LTERM) is the longer term studies of the Eastern Atlantic Spring/Summer Experiments (EASE-96 and EASE-97). The longer term data includes DMS, ozone and chemicals involved in its cycle, carbon and hydrocarbons." } }, { "ob_id": 6, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 12884, "uuid": "c8b8ff6fe0d147999e53169ab4a32d03", "short_code": "ob", "title": "ACSOE OXICOA LTERM: Chemical Climatology Data from Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) OXIdising Capacity of the Ocean Atmosphere (OXICOA) Long-Term Studies of chemical Climatology (LTERM) is the longer term studies of the Eastern Atlantic Spring/Summer Experiments (EASE-96 and EASE-97). The longer term data includes DMS, ozone and chemicals involved in its cycle, carbon and hydrocarbons." }, "objectObservation": { "ob_id": 3711, "uuid": "19a10a2a96d55d689a039f35d646c833", "short_code": "ob", "title": "ACSOE OXICOA EASE-96: Ground-based Atmospheric Oxidant Observations from the Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. OXICOA (OXIdising Capacity of the Ocean Atmosphere) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The Eastern Atlantic Spring/Summer Experiments (EASE 96 and EASE 97) were carried to collect data. The dataset includes measurements of the OH and HO2 radicals, measurements of halogen oxide radicals at Mace Head in conjunction with a survey of potential organic halogen source gases. In EASE 96 the Cranfield Jetstream aircraft was deployed to measure the vertical and horizontal homogeneity of the air mass." } }, { "ob_id": 7, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 12884, "uuid": "c8b8ff6fe0d147999e53169ab4a32d03", "short_code": "ob", "title": "ACSOE OXICOA LTERM: Chemical Climatology Data from Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) OXIdising Capacity of the Ocean Atmosphere (OXICOA) Long-Term Studies of chemical Climatology (LTERM) is the longer term studies of the Eastern Atlantic Spring/Summer Experiments (EASE-96 and EASE-97). The longer term data includes DMS, ozone and chemicals involved in its cycle, carbon and hydrocarbons." }, "objectObservation": { "ob_id": 3758, "uuid": "782ed83e690f0583f4f05f43a33f1d20", "short_code": "ob", "title": "ACSOE OXICOA EASE-97: Ground-based Atmospheric Oxidant Observations from the Mace Head Atmospheric Research Centre", "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. OXICOA (OXIdising Capacity of the Ocean Atmosphere) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The Eastern Atlantic Spring/Summer Experiments (EASE 96 and EASE 97) were carried to collect data. The dataset includes measurements of the OH and HO2 radicals, measurements of halogen oxide radicals at Mace Head in conjunction with a survey of potential organic halogen source gases. In EASE 96 the Cranfield Jetstream aircraft was deployed to measure the vertical and horizontal homogeneity of the air mass." } }, { "ob_id": 8, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 13712, "uuid": "568b6c1213d64610b97d46c6f6a80402", "short_code": "ob", "title": "Assessing sources of uncertainty in formaldehyde air mass factors over tropical South America: Implications for top-down isoprene emission estimates: 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\nA nested-grid version of the GEOS-Chem chemistry transport model, constrained by isoprene emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN), and the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) bottom-up inventories, was used to evaluate the impact that surface isoprene emissions have on formaldehyde (HCHO) air-mass factors (AMFs) and vertical column densities (VCDs) over tropical South America during 2006, as observed by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI).\r\n\r\nResults of this project are presented in the following publication:\r\n\r\nBarkley, M. P., T. P. Kurosu, K. Chance, I. De Smedt, M. Van Roozendael, A. Arneth, D. Hagberg,\r\nand A. Guenther: Assessing sources of uncertainty in formaldehyde air mass factors over tropical\r\nSouth America: Implications for top-down isoprene emission estimates, J. Geophys. Res.,\r\n117, D13304, doi:10.1029/2011JD016827. 2012\r\n\r\nand model outputs associated to this project are archived at CEDA.\r\n\r\nThis was a NERC funded project." }, "objectObservation": { "ob_id": 3824, "uuid": "1da161969d7eecf05c1e299538f9e534", "short_code": "ob", "title": "Can a 'state of the art' chemistry transport model really simulate Amazonian tropospheric chemistry?: 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. Model outputs associated with Barkley et al. publication is available through CEDA-BADC. \r\n\r\nAn evaluation of a nested high-resolution Goddard Earth Observing System (GEOS)-Chem chemistry transport model simulation of tropospheric chemistry over tropical South America is presented. The model has been constrained with two isoprene emission inventories: \r\n\r\n(1) the canopy-scale Model of Emissions of Gases and Aerosols from Nature (MEGAN) and \r\n\r\n(2) a leaf-scale algorithm coupled to the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) dynamic vegetation model, and the model has been run using two different chemical mechanisms that contain alternative treatments of isoprene photo-oxidation. \r\n\r\nThe publication is:\r\nBarkley, M. P., P. I. Palmer, L. Ganzeveld , A. Arneth , D. Hagberg , T. Karl , A. Guenther ,\r\nF. Paulot , P. Wennberg , J. Mao , T. Kurosu , K. Chance , J.-F. Muller, I. De Smedt , M. Van Roozendael , D. Chen , Y. Wang , R. Yantosca, Can a 'state of the art' chemistry transport model really simulate\r\nAmazonian tropospheric chemistry?, J. Geophys. Res., 116, D16302, doi:10.1029/2011JD015893, 2011\r\nThis is a NERC funded project." } }, { "ob_id": 9, "relationType": "Continues", "subjectObservation": { "ob_id": 20051, "uuid": "f55f5649110b4b98b3d5177d8ff2eac9", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): cloud camera 2 imagery from Chilbolton, Hampshire (2016-present)", "abstract": "Sky images collected by a sky camera replacing the earlier JVC KYF55-BE digital camera deployed at the Chilbolton Observatory, Hampshire. These differ from the previous camera imagery by the use of a fish-eye lens to give complete sky imagery. These images have been captured from mid-2016 to the present." }, "objectObservation": { "ob_id": 3478, "uuid": "a27df2c909dd95ac340a8667eb849408", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): cloud camera imagery from Chilbolton (2001-2014)", "abstract": "Sky images collected by a JVC KYF55-BE digital camera over Chilbolton, Hampshire. The data were collected from 5th of July 1996 to the present." } }, { "ob_id": 13, "relationType": "Continues", "subjectObservation": { "ob_id": 4759, "uuid": "79f6e3dd5b2ec532164f5e646f03b850", "short_code": "ob", "title": "Convective Storm Initiation Project (CSIP) field campaign, 2005: Vertical wind profile data from the Universities' Facility for Atmospheric Measurement's (UFAM) 1290mhz Degreane Mobile Wind Profiler from Linkenholt, Hampshire, UK", "abstract": "The University of Wales, Aberystwyth 1290 MHz mobile wind profiler, deployed as part of a suite of instrument from Universities' Facility for Atmospheric Measurements (UFAM), was sited at Linkenholt, Hampshire, UK, for the duration of the Convective Storm Initiation Project (CSIP)'s main field campaign. The instrument was operated throughout the campaign, producing vertical profiles of wind speed and direction (horizontal and vertical components), signal to noise ratio and spectral width measurements from 2nd June to 1st September 2005. This instrument is now referred to as the University of Manchester mobile wind profiler (man-radar-1290mhz)." }, "objectObservation": { "ob_id": 4703, "uuid": "80b73e32ea38dd42f08b21a46f763083", "short_code": "ob", "title": "Convective Storm Initiation Project (CSIP): Vertical wind profile data from the Universities' Facility for Atmospheric Measurement's (UFAM) 1290mhz Degreane Mobile Wind Profiler from Ashmansworth, Hampshire, UK", "abstract": "The University of Wales, Aberystwyth 1290 MHz mobile wind profiler, deployed as part of a suite of instrument from NCAS's Universities Facility for Atmospheric Measurements (UFAM), was sited at Ashmansworth for the duration of the Convective Storm Initiation Project (CSIP)'s pilot field campaign. The instrument was operated throughout the campaign, producing vertical profiles of wind speed and direction (horizontal and vertical components), signal to noise ratio and spectral width measurements 6th to 22nd July 2004 . This instrument is now referred to as the University of Manchester mobile wind profiler (man-radar-1290mhz)." } }, { "ob_id": 15, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 20374, "uuid": "8b6b52b3a34c4964b35f918555e10ec1", "short_code": "ob", "title": "CRU CY4.00: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.00 (Jan. 1901 - Dec. 2015)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.00 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY3.23 data to include 2015. CRU CY4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.00 is derived directly from the CRU TS4.00 dataset. CRU CY version 4.00 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU CY4.00 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.00. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.00 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, "objectObservation": { "ob_id": 20363, "uuid": "f45823cb32374e38adb5c6486744ac44", "short_code": "ob", "title": "CRU CY3.24.01: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.24.01 (Jan. 1901 - Dec. 2015)", "abstract": "The CRU CY version 3.24.01 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. \r\n\r\nThis dataset was produced in 2016 by the Climatic Research Unit (CRU) at the University of East Anglia and replaces the withdrawn CRU CY 3.24. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.24.01 is derived directly from the CRU TS3.24.01 dataset. CRU CY version 3.24.01 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU-CY3.24.01 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.24.01. It is therefore recommended that all users read the Harris et al, 2014 paper listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." } }, { "ob_id": 18, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 19009, "uuid": "a4b695eac77e4269a7c63c607bad75f4", "short_code": "ob", "title": "FAAM ITOP flights merged data: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Merged produced from airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flights for the International Transport of Ozone and Precursors (ITOP) project." }, "objectObservation": { "ob_id": 14946, "uuid": "1bf0b7c7054e4eb3940fa5a402abe5b4", "short_code": "ob", "title": "FAAM B031 ITOP flight, number 3: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 3 for International Transport of Ozone and Precursors (ITOP) project." } }, { "ob_id": 19, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 19009, "uuid": "a4b695eac77e4269a7c63c607bad75f4", "short_code": "ob", "title": "FAAM ITOP flights merged data: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Merged produced from airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flights for the International Transport of Ozone and Precursors (ITOP) project." }, "objectObservation": { "ob_id": 14950, "uuid": "fcb3ea37104e4697bdeebe4af8ef938b", "short_code": "ob", "title": "FAAM B030 ITOP flight, number 2: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 2 for International Transport of Ozone and Precursors (ITOP) project." } }, { "ob_id": 20, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 19009, "uuid": "a4b695eac77e4269a7c63c607bad75f4", "short_code": "ob", "title": "FAAM ITOP flights merged data: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Merged produced from airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flights for the International Transport of Ozone and Precursors (ITOP) project." }, "objectObservation": { "ob_id": 14922, "uuid": "0a94944d68474e1abd8f0951cd8710c5", "short_code": "ob", "title": "FAAM B037 ITOP flight, number 9: Airborne atmospheric measurements from core and non-core instrument suites on board 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The aim of the experiment was to make long term measurements of the signal strength received from a 20.7GHz beacon on the US Department of Defense satellite UFO-9 at multiple sites, in order to determine whether the use of site diversity as a fade mitigation technique would be effective. The dataset spans a period of 3 years, from August 2003 to August 2006 with signal attenuation sampled once per second. \r\n\r\n\r\nThis dataset is cited in:\r\nS. A. Callaghan, J. Waight, J.L.Agnew, C. J. Walden, C.L.Wrench , S. 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A. Callaghan, J. Waight, J.L.Agnew, C. J. Walden, C.L.Wrench , S. Ventouras “The GBS dataset: measurements of satellite site diversity at 20.7 GHz in the UK”, Geoscience Data Journal, 17 March 2013, DOI: 10.1002/gdj3.2" } }, { "ob_id": 29, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3524, "uuid": "506b190cc98778964e8f23fd41407a03", "short_code": "ob", "title": "GBS 20.7GHz slant path radio propagation measurements, Chilbolton site", "abstract": "The GBS (Global Broadcast Service) dataset is a series of radio attenuation measurements made at three sites in the UK: Chilbolton and Sparsholt, both in southern UK, and Dundee in Scotland. The aim of the experiment was to make long term measurements of the signal strength received from a 20.7GHz beacon on the US Department of Defense satellite UFO-9 at multiple sites, in order to determine whether the use of site diversity as a fade mitigation technique would be effective. 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The aim of the experiment was to make long term measurements of the signal strength received from a 20.7GHz beacon on the US Department of Defense satellite UFO-9 at multiple sites, in order to determine whether the use of site diversity as a fade mitigation technique would be effective. The dataset spans a period of 3 years, from August 2003 to August 2006 with signal attenuation sampled once per second. \r\n\r\n\r\nThis dataset is cited in:\r\nS. A. Callaghan, J. Waight, J.L.Agnew, C. J. Walden, C.L.Wrench , S. 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The aim of the experiment was to make long term measurements of the signal strength received from a 20.7GHz beacon on the US Department of Defense satellite UFO-9 at multiple sites, in order to determine whether the use of site diversity as a fade mitigation technique would be effective. The dataset spans a period of 3 years, from August 2003 to August 2006 with signal attenuation sampled once per second. \r\n\r\n\r\n\r\nThis dataset is cited in:\r\nS. A. Callaghan, J. Waight, J.L.Agnew, C. J. Walden, C.L.Wrench , S. 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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." }, "objectObservation": { "ob_id": 19979, "uuid": "fde8e875d45346bcb533641f44531268", "short_code": "ob", "title": "Gridded global surface measurements of nitric ozone, nitrogen dioxide, carbon monoxide and isoprene metrics data (1980-2015) - version 1.0", "abstract": "This dataset represents a collation of surface measurements of nitric oxide (NO), nitrogen dioxide (NO2), carbon monoxide (CO) and isoprene (C5H8) from publicly available data sets (of hourly, daily and monthly resolutions), for the aim of improved evaluation of surface ozone in global atmospheric chemistry models.\r\n\r\nMeasurements begin in 1980 running through to 2015. The data comes in a range of formats, with a plethora of associated data quality issues, requiring substantial cleaning before being able to be utilised for model assessment. 1,033,463,750 measurements from 16,996 sites are processed through numerous data quality checks, resulting in 76,413,458 observations from 1607 sites of appropriate quality (with the majority of excluded observations due to urban influence). Observations are heavily weighted towards North America and Europe, with generally sparse coverage over the rest of the globe (with the exception of CO). See documentation for more details. \r\n\r\nData is provided as multiple globally gridded output files, each consisting of a series of metrics designed to reflect the distributions of the observed ozone precursor species, allowing fair and easy comparison with global models. Metrics include the moments of the distribution (i.e. mean, temporal standard deviation, skewness and kurtosis) and percentiles. A total of 80 different netCDF-4 files are produced, with metrics calculated in multiple temporal (monthly and annual) and spatial configurations (8 different resolutions), for each different species. \r\n\r\nThe format of the output netCDF-4 files is designed to be consistent with the related dataset which compiled surface ozone observations (v2.7)." } }, { "ob_id": 35, "relationType": "IsNewVersionOf", "subjectObservation": { "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. 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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." } }, { "ob_id": 36, "relationType": "IsSupplementTo", "subjectObservation": { "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." }, "objectObservation": { "ob_id": 7372, "uuid": "a2f2f939753f5ff1bb5432e956e380d3", "short_code": "ob", "title": "HadAT0 - Met Office Globally gridded radiosonde temperature anomalies version 0 (1958 to 2002)", "abstract": "The HadAT0 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" } }, { "ob_id": 37, "relationType": "IsSupplementTo", "subjectObservation": { "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." }, "objectObservation": { "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" } }, { "ob_id": 38, "relationType": "IsSupplementTo", "subjectObservation": { "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." }, "objectObservation": { "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" } }, { "ob_id": 39, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 7372, "uuid": "a2f2f939753f5ff1bb5432e956e380d3", "short_code": "ob", "title": "HadAT0 - Met Office Globally gridded radiosonde temperature anomalies version 0 (1958 to 2002)", "abstract": "The HadAT0 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" }, "objectObservation": { "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." } }, { "ob_id": 40, "relationType": "IsNewVersionOf", "subjectObservation": { "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" }, "objectObservation": { "ob_id": 7372, "uuid": "a2f2f939753f5ff1bb5432e956e380d3", "short_code": "ob", "title": "HadAT0 - Met Office Globally gridded radiosonde temperature anomalies version 0 (1958 to 2002)", "abstract": "The HadAT0 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" } }, { "ob_id": 41, "relationType": "IsSupplementedBy", "subjectObservation": { "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" }, "objectObservation": { "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." } }, { "ob_id": 42, "relationType": "IsSupplementedBy", "subjectObservation": { "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" }, "objectObservation": { "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." } }, { "ob_id": 43, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 13557, "uuid": "229b53d2e44741ecbe70ba6299875a30", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1973-2014, v1.0.3.2014f", "abstract": "This is version 1.0.3.2014f of HadISD (27 April 2015) the Met Office Hadley Centre's global sub-daily data, extending v1.0.2.2013f to span 1/1/1973 - 31/12/2014.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19730101-20141231_v1-0-3-2014f.nc T. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." }, "objectObservation": { "ob_id": 20040, "uuid": "4c44bc7beac5428aa1af2f3aca1a2055", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1973-2013, v1.0.2.2013f", "abstract": "This is version 1.0.2.2013f of HadISD the Met Office Hadley Centre's global sub-daily data, extending v1.0.1.2012p to span 1/1/1973 - 31/12/2013. \r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19730101-20131231_v1-0-2-2013f.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." } }, { "ob_id": 44, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "ob_id": 2208, "uuid": "e02eafce02018e5c08120e9ba5f60b3c", "short_code": "ob", "title": "HADRT2.0: Unadjusted global monthly fields of radiosonde temperature anomalies (1958-2004)", "abstract": "The HADRT2.0 (unadjusted) 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. Anomalies 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\n\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\nThis dataset has been superseded by the HadAT dataset also available from CEDA." } }, { "ob_id": 45, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "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." } }, { "ob_id": 46, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "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." } }, { "ob_id": 47, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "ob_id": 2208, "uuid": "e02eafce02018e5c08120e9ba5f60b3c", "short_code": "ob", "title": "HADRT2.0: Unadjusted global monthly fields of radiosonde temperature anomalies (1958-2004)", "abstract": "The HADRT2.0 (unadjusted) 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. Anomalies 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\n\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\nThis dataset has been superseded by the HadAT dataset also available from CEDA." } }, { "ob_id": 48, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "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." } }, { "ob_id": 49, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "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." } }, { "ob_id": 50, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3552, "uuid": "b4709a1a0bd8d3b68e388f0d1864bf4f", "short_code": "ob", "title": "ITALSAT radio propagation measurement at 40GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 40 GHz." }, "objectObservation": { "ob_id": 3557, "uuid": "4918af56410c6af1890950ae8f3c04ec", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 50GHz in the United Kingdom", "abstract": "Measurements of troposhperic attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 50 GHz.\r\n\r\nITALSAT F1 (owned and operated by the Italian Space Agency) was in geostationary orbit at 13 degrees east, and it could be seen from the receiving station at an elevation angle of 30 degrees. The received signal was vertically polarised and was sampled once a second. North-south tracking of the satellite with the beacon receiver maintained ~20dB of dynamic range thought of the measurement period. \r\n\r\nThe method applied to remove the nonatmospheric changes of the beacon signal and to establish the reference level from which to measure the excess and total attenuation is described in [Ventouras et.al., Long-term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom, Radio Sci.,41,RS2007,doi:10.1029/2005RS003252]. The accuracy of fade level retrieval is estimated to be ~+/-0.5dB" } }, { "ob_id": 51, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3552, "uuid": "b4709a1a0bd8d3b68e388f0d1864bf4f", "short_code": "ob", "title": "ITALSAT radio propagation measurement at 40GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 40 GHz." }, "objectObservation": { "ob_id": 3562, "uuid": "80d969943356f251675039306fc9aaf4", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 20GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 20 GHz." } }, { "ob_id": 52, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3562, "uuid": "80d969943356f251675039306fc9aaf4", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 20GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 20 GHz." }, "objectObservation": { "ob_id": 3552, "uuid": "b4709a1a0bd8d3b68e388f0d1864bf4f", "short_code": "ob", "title": "ITALSAT radio propagation measurement at 40GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 40 GHz." } }, { "ob_id": 53, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3562, "uuid": "80d969943356f251675039306fc9aaf4", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 20GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 20 GHz." }, "objectObservation": { "ob_id": 3557, "uuid": "4918af56410c6af1890950ae8f3c04ec", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 50GHz in the United Kingdom", "abstract": "Measurements of troposhperic attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 50 GHz.\r\n\r\nITALSAT F1 (owned and operated by the Italian Space Agency) was in geostationary orbit at 13 degrees east, and it could be seen from the receiving station at an elevation angle of 30 degrees. The received signal was vertically polarised and was sampled once a second. North-south tracking of the satellite with the beacon receiver maintained ~20dB of dynamic range thought of the measurement period. \r\n\r\nThe method applied to remove the nonatmospheric changes of the beacon signal and to establish the reference level from which to measure the excess and total attenuation is described in [Ventouras et.al., Long-term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom, Radio Sci.,41,RS2007,doi:10.1029/2005RS003252]. The accuracy of fade level retrieval is estimated to be ~+/-0.5dB" } }, { "ob_id": 54, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3557, "uuid": "4918af56410c6af1890950ae8f3c04ec", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 50GHz in the United Kingdom", "abstract": "Measurements of troposhperic attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 50 GHz.\r\n\r\nITALSAT F1 (owned and operated by the Italian Space Agency) was in geostationary orbit at 13 degrees east, and it could be seen from the receiving station at an elevation angle of 30 degrees. The received signal was vertically polarised and was sampled once a second. North-south tracking of the satellite with the beacon receiver maintained ~20dB of dynamic range thought of the measurement period. \r\n\r\nThe method applied to remove the nonatmospheric changes of the beacon signal and to establish the reference level from which to measure the excess and total attenuation is described in [Ventouras et.al., Long-term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom, Radio Sci.,41,RS2007,doi:10.1029/2005RS003252]. The accuracy of fade level retrieval is estimated to be ~+/-0.5dB" }, "objectObservation": { "ob_id": 3552, "uuid": "b4709a1a0bd8d3b68e388f0d1864bf4f", "short_code": "ob", "title": "ITALSAT radio propagation measurement at 40GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 40 GHz." } }, { "ob_id": 55, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 3557, "uuid": "4918af56410c6af1890950ae8f3c04ec", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 50GHz in the United Kingdom", "abstract": "Measurements of troposhperic attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 50 GHz.\r\n\r\nITALSAT F1 (owned and operated by the Italian Space Agency) was in geostationary orbit at 13 degrees east, and it could be seen from the receiving station at an elevation angle of 30 degrees. The received signal was vertically polarised and was sampled once a second. North-south tracking of the satellite with the beacon receiver maintained ~20dB of dynamic range thought of the measurement period. \r\n\r\nThe method applied to remove the nonatmospheric changes of the beacon signal and to establish the reference level from which to measure the excess and total attenuation is described in [Ventouras et.al., Long-term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom, Radio Sci.,41,RS2007,doi:10.1029/2005RS003252]. The accuracy of fade level retrieval is estimated to be ~+/-0.5dB" }, "objectObservation": { "ob_id": 3562, "uuid": "80d969943356f251675039306fc9aaf4", "short_code": "ob", "title": "ITALSAT radio propagation measurements at 20GHz in the United Kingdom", "abstract": "Measurements of tropospheric attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 20 GHz." } }, { "ob_id": 56, "relationType": "IsVariantFormOf", "subjectObservation": { "ob_id": 6723, "uuid": "d9f8e93402b44b6ac3a8bd840b3558a6", "short_code": "ob", "title": "Met Office Aberporth High Resolution Radiosonde Data", "abstract": "Met Office high resolution (2 second) radiosonde data from the Aberporth airfield, Mid Wales from 1990 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. An ASCII formatted set of files are also available from 1990 to 2000 within this dataset." }, "objectObservation": { "ob_id": 6172, "uuid": "6ae44be655d73d012728508103b8d128", "short_code": "ob", "title": "Met Office Aberporth Radiosonde Data for comparison with the NERC MST Radar", "abstract": "Radiosonde data from balloon flights from the Aberporth airfield made available for comparison with data from Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. Data are ASCII formatted, containing height in km, wind speed and direction, temperature and dew-point temperature. A more complete set of high resolution radiosonde data are available in the Met Office High Resolution Radiosonde dataset." } }, { "ob_id": 57, "relationType": "IsVariantFormOf", "subjectObservation": { "ob_id": 6172, "uuid": "6ae44be655d73d012728508103b8d128", "short_code": "ob", "title": "Met Office Aberporth Radiosonde Data for comparison with the NERC MST Radar", "abstract": "Radiosonde data from balloon flights from the Aberporth airfield made available for comparison with data from Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. Data are ASCII formatted, containing height in km, wind speed and direction, temperature and dew-point temperature. A more complete set of high resolution radiosonde data are available in the Met Office High Resolution Radiosonde dataset." }, "objectObservation": { "ob_id": 6723, "uuid": "d9f8e93402b44b6ac3a8bd840b3558a6", "short_code": "ob", "title": "Met Office Aberporth High Resolution Radiosonde Data", "abstract": "Met Office high resolution (2 second) radiosonde data from the Aberporth airfield, Mid Wales from 1990 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. An ASCII formatted set of files are also available from 1990 to 2000 within this dataset." } }, { "ob_id": 58, "relationType": "Continues", "subjectObservation": { "ob_id": 12294, "uuid": "022a3d5ba0204c4c9bbe983b437289b7", "short_code": "ob", "title": "Met Office MSLP Charts images June 2014 to present from the Met Office's SWIFT system", "abstract": "UK Met Office charts analyses pertaining to Mean Surface Level Pressure and 24 hour Weather Frontal Forecasting for the UK and Western Europe for the 00 and 12UT forecast runs. The charts in this dataset, at time steps at T+00, 24, 48 and 72 hours, have been produced by the Met Office's SWIFT system using VisualWeather, following a switch from the feed provided by the Met Office's GCPS Commercial System (see related dataset). The data in this collection cover the period 30th June 2014 to present, though initially with some data gaps." }, "objectObservation": { "ob_id": 1873, "uuid": "5545adc3ffe692348d25ae54a051aacf", "short_code": "ob", "title": "Met Office MSLP Charts images 1999-2014 from the Met Office's GCPS Commercial System", "abstract": "UK Met Office charts analyses pertaining to Mean Surface Level Pressure and 24 hour Weather Frontal Forecasting for the UK and Western Europe. The charts in this dataset have been produced by the Met Office's GPCS Commercial Suite and covers the period 7th June 1999 to 24th June 2014. At this point the Met Office turned off that service and switched to providing images produced by the Met Office's SWIFT system using VisualWeather (available as part of a separate dataset)." } }, { "ob_id": 59, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 6184, "uuid": "1d9c0ece56c9b9867327d4308729c80e", "short_code": "ob", "title": "Monthly Brightness Temperature (BT) Animations derived from high resolution BT images as part of the Cloud Archive User Service (CLAUS) Project.", "abstract": "Global Brightness Temperature imagery animations from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe higher resolution CLAUS data were used to create monthly animations for educational purposes. The movie collection spans the period 1983-1994.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)." }, "objectObservation": { "ob_id": 6180, "uuid": "c2112bdd5f0ad698e70be6ab54c9a2ac", "short_code": "ob", "title": "3-hourly High Resolution Brightness Temperature (BT) images", "abstract": "Global Brightness Temperature imagery from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe source data used in CLAUS are the level B3 (reduced resolution) 10 micron radiances from operational meteorological satellites participating in the International Satellite Cloud Climatology Programme (ISCCP) and were obtained from the NASA Langley Atmospheric Sciences Data Center (LASDC).\r\n\r\nDuring the CLAUS project the B3 data were first processed to create a uniform latitude-longitude grid (or image) of Brightness Temperature (BT) values at a spatial resolution of 0.5 by 0.5 degrees and temporal resolution of three hours. The B3 data were also rigorously quality controlled to remove residual noise and navigation/calibration errors that were noticed in the original processing. The 0.5 degree resolution data were updated and supplemented by a new product at one-third degree spatial resolution for use in process studies. \r\n\r\nThe CLAUS Lo-res data archive span the period 1983-2009 and the files are stored in the Portable Grey Map (PGM) format. This is a simple flat file binary format preceded by an ASCII (readable) header that contains information such as the image dimensions and version number.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)." } }, { "ob_id": 60, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "ob_id": 25, "uuid": "b621ef77b07d3c8e116b5b31fd5eb92b", "short_code": "ob", "title": "Daily 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 daily data starts in 1772. \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 daily data series begins in 1772. Mean maximum and minimum daily and monthly data are also available, beginning in 1878. Yearly files are provided from 1998 onwards.\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." } }, { "ob_id": 61, "relationType": "IsDerivedFrom", "subjectObservation": { "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)." }, "objectObservation": { "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" } }, { "ob_id": 62, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 13162, "uuid": "6d39f49d9ce24836b16cf6ecad1f8ae6", "short_code": "ob", "title": "NOC 1.1a: Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a)", "abstract": "This dataset contains the adjusted climatological monthly mean files of air-sea fluxes (heat fluxes only) on a global grid in netCDF format produced at the National Oceanography Centre (NOC). \r\n\r\nIt was produced by the NERC COAPEC thematic programme project using inverse analysis techniques to remove the global ocean heat budget imbalance of 30 Wm-2 that was present in the NOC1.1 flux climatology.\r\n\r\nEach data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field:\r\n\r\nlatent heat flux (hfls), \r\nnet heat flux (hfns), \r\nsensible heat flux (hfss), \r\nnet longwave flux (rls), \r\nnet shortwave flux (rss).\r\n\r\nUnits are W/m2.\r\n\r\nThe flux fields were originally derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs).\r\n\r\nIt is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region.\r\n" }, "objectObservation": { "ob_id": 5456, "uuid": "935c64a1c57bba456e036f7f5767c339", "short_code": "ob", "title": "NOC 1.1: National Oceanography Centre Surface Flux Climatology (version 1.1)", "abstract": "This dataset contains climatological monthly mean files of air-sea fluxes on a global grid in netCDF format produced at the National Oceanography Centre (NOC). It includes freshwater flux, heat flux and windstress and selected meteorological variables.\r\n\r\nEach data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field:\r\n\r\nHeat flux and windstress:\r\nlatent heat flux (hfls), net heat flux (hfns), sensible heat flux (hfss), precipitation (pr), net longwave flux (rls), net shortwave flux (rss), wind stress (eastward) (tauu), wind stress (northward) (tauv).\r\nUnits are W/m2 for the heat flux and N/m2 for the stress.\r\n\r\nAlso available are freshwater fields:\r\n evaporation (emy), precipitation (pmy), net evaporation (epmy)\r\n\r\nUnits are m/yr in each case (divide by 12 to get m/month).\r\n\r\nMeteorology fields are:\r\nu10 - 10m wind speed, units m/s\r\nt10 - 10m air temperature, units deg C\r\nq10 - 10m specific humidity, units g/kg\r\nsst - sea surface temperature, units deg C\r\nana - total cloud amount, units octas\r\nslp - sea level pressure, units mb\r\n\r\nThe flux fields have been derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs).\r\n\r\nIt is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region.\r\n\r\nIn addition, note that the current version of the fields does not give closure of the global heat budget, the imbalance being a global mean net heat gain by the ocean of 29 W/m2. Work was carried out to identify regions in which NOC scientists believe the net heat gain has been overestimated.\r\n\r\nResults from several regional comparisons against high quality meteorological buoy data indicate that in those regions for which comparisons have been possible the NOC net heat flux estimates agree well with independent buoy measurements. Hence, NOC have not applied global adjustments to the heat flux\r\ncomponents in order to balance the heat budget at this stage of their analysis. See NOC1.1a for adjusted heat fluxes.\r\n\r\nFunding has been received from the Hadley Centre, UK Meteorological Office for the production and analysis of this dataset.\r\n\r\nPlease note that NOC1.1 - Previously the 'Original' SOC climatology (climatological and individual monthly fields)\r\n" } }, { "ob_id": 63, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 13201, "uuid": "21b5b970a6844d72afa4b2c551944d9b", "short_code": "ob", "title": "NOCS 2.0: National Oceanography Centre Southampton Surface Flux Climatology (version 2.0)", "abstract": "The National Oceanography Centre Southampton (NOCS) Version 2.0 Surface Flux Dataset is a monthly mean gridded dataset of marine surface measurements and derived fluxes constructed using optimal interpolation. Input for the period 1973 to 2006 are ICOADS Release 2.4 ship data, the update from 2007 to 2014 uses ICOADS Release 2.5 and data after 2007 are preliminary. The dataset is presented as a time series of monthly mean values on a 1 degree area grid. \r\nThe quality of the gridded data is quantified by estimates of random, bias and total uncertainty. The monthly means were derived from daily estimates of each variable and the standard deviation of these daily values is also available. Please see nocs2_variable_defs document for detailed variable information. Users are advised to take account of the uncertainty estimates provided, and to note that in very poorly sampled regions, such as the Southern Ocean, the uncertainty estimates themselves may be unreliable.\r\n\r\nSurface meteorological fields have been adjusted to account for varying measurement heights and for known biases (Berry and Kent 2009, Berry and Kent 2011). Surface fluxes have been calculated from daily fields of the surface meteorological parameters using bulk parameterisations (Reed 1977; Clark et al. 1974; Smith 1980; 1988).\r\n\r\nThe NOCS v2.0 flux dataset was funded by the Oceans2025 project.\r\n\r\n" }, "objectObservation": { "ob_id": 13162, "uuid": "6d39f49d9ce24836b16cf6ecad1f8ae6", "short_code": "ob", "title": "NOC 1.1a: Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a)", "abstract": "This dataset contains the adjusted climatological monthly mean files of air-sea fluxes (heat fluxes only) on a global grid in netCDF format produced at the National Oceanography Centre (NOC). \r\n\r\nIt was produced by the NERC COAPEC thematic programme project using inverse analysis techniques to remove the global ocean heat budget imbalance of 30 Wm-2 that was present in the NOC1.1 flux climatology.\r\n\r\nEach data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field:\r\n\r\nlatent heat flux (hfls), \r\nnet heat flux (hfns), \r\nsensible heat flux (hfss), \r\nnet longwave flux (rls), \r\nnet shortwave flux (rss).\r\n\r\nUnits are W/m2.\r\n\r\nThe flux fields were originally derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs).\r\n\r\nIt is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region.\r\n" } }, { "ob_id": 64, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 1289, "uuid": "ef3e53aef4dca2030ebc9e84aa908d74", "short_code": "ob", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.4 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project", "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website." }, "objectObservation": { "ob_id": 19748, "uuid": "1d95d0bc906c47f5932929c28e927f06", "short_code": "ob", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.4 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project - addendum", "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThese data are retrieved missing files that could not be added to the original dataset due to being published with a DOI (http://dx.doi.org/10.5285/4bcfa3a4-c7ec-4414-863d-caeceb21f16f) \r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website." } }, { "ob_id": 65, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 19748, "uuid": "1d95d0bc906c47f5932929c28e927f06", "short_code": "ob", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.4 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project - addendum", "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThese data are retrieved missing files that could not be added to the original dataset due to being published with a DOI (http://dx.doi.org/10.5285/4bcfa3a4-c7ec-4414-863d-caeceb21f16f) \r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website." }, "objectObservation": { "ob_id": 1289, "uuid": "ef3e53aef4dca2030ebc9e84aa908d74", "short_code": "ob", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.4 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project", "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website." } }, { "ob_id": 66, "relationType": "IsDerivedFrom", "subjectObservation": { "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." }, "objectObservation": { "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." } }, { "ob_id": 67, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 24006, "uuid": "751ad1e1146d4a519c46108df668963b", "short_code": "ob", "title": "UKCP09: Probabilistic marine climate projections data", "abstract": "The UK Climate Projections 2009 (UKCP09) probabilistic marine projections data are projections of a future climate with an associated probability. Monthly and annual data are provided for mean sea level pressure, temperature, precipitation and total cloud cover in 30 year averages (2010-2039, 2020-2049, 2030-2059, 2040-2069, 2050-2079, 2060-2089, 2070-2099).\r\n\r\nThese projections provide an absolute value for the future climate (as opposed to giving values that are relative to a baseline period). A probabilistic climate projection is a measure of the strength of evidence in different future climate change outcomes. This measure is dependent on the method used, is based on the currently available evidence and encapsulates some, but not all, of the uncertainty associated with projecting future climate.\r\n\r\nThe marine and coastal projections report contains further details (see linked documentation)." }, "objectObservation": { "ob_id": 2904, "uuid": "465ecd8a305ffb9df2bd8b54cada669f", "short_code": "ob", "title": "UKCP09: Met Office HadRM3-PPE UK model runs", "abstract": "Data from the HadRM3-PPE-UK (Hadley Centre Regional Climate Model) experiment run at the UK Met Office Hadley Centre. This was designed to simulate the regional climate for the UK in the period 1950-2100 for historical and medium (SRESA1B) emissions scenario. This dataset contains output from an ensemble of eleven variants of the MOHC Regional Climate Model (HadRM3), run from 1950-2099 and used to dynamically downscale global climate model (GCM) results as part of the climate change experiments carried out by the Met Office Hadley Centre for the latest UK Climate Projections report.\r\n\r\nThe ensemble model runs included in this dataset are afgcx, afixa, afixc, afixh, afixi, afixj, afixk, afixl, afixm, afixo and afixq." } }, { "ob_id": 68, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 24003, "uuid": "de1e833f972248e69285424fbd9ceac2", "short_code": "ob", "title": "UKCP09: Climate scenarios projection data of sea level rise for UK waters", "abstract": "UK Climate Projections 2009 (UKCP09) sea level rise data provides projections of changes in absolute sea level rise in waters surrounding the UK and changes in relative sea level for coastal areas, where the influence of land movements is considered (and data included here) over the period 1999-2099. Data are provided for three emissions scenarios: Low (IPCC SRES: B1), Medium (IPCC SRES: A1B), and High (IPCC SRES: A1FI).\r\n\r\nThese projections also include a high risk, low probability scenario (known as the H++ scenario). The H++ scenario has been included to reflect the fact that there considerable uncertainties about the upper limit of absolute sea-level rise. This scenario relies, in part, on expert judgement and is designed to encourage users to think about thresholds of existing systems and the limits to adaptation.\r\n\r\nNote: Unlike some other components of UKCP09, the sea level projections are not probabilistic. They provide a frequency distribution of projections based on results from eleven models contributed to the IPCC Fourth Assessment Report. The model projections of sea level rise have not been weighted based on comparison with historical sea level observations, and are therefore treated as equally plausible.\r\n\r\nMore information about the sea level rise methodology (including assumptions and caveats) is given in Chapter 3 of the Marine & coastal projections report." }, "objectObservation": { "ob_id": 2904, "uuid": "465ecd8a305ffb9df2bd8b54cada669f", "short_code": "ob", "title": "UKCP09: Met Office HadRM3-PPE UK model runs", "abstract": "Data from the HadRM3-PPE-UK (Hadley Centre Regional Climate Model) experiment run at the UK Met Office Hadley Centre. This was designed to simulate the regional climate for the UK in the period 1950-2100 for historical and medium (SRESA1B) emissions scenario. This dataset contains output from an ensemble of eleven variants of the MOHC Regional Climate Model (HadRM3), run from 1950-2099 and used to dynamically downscale global climate model (GCM) results as part of the climate change experiments carried out by the Met Office Hadley Centre for the latest UK Climate Projections report.\r\n\r\nThe ensemble model runs included in this dataset are afgcx, afixa, afixc, afixh, afixi, afixj, afixk, afixl, afixm, afixo and afixq." } }, { "ob_id": 69, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 24004, "uuid": "aa448fd749954539afa60e04379f6e5c", "short_code": "ob", "title": "UKCP09: Climate change projections of storm surge trend for UK waters", "abstract": "The UKCP09 marine & coastal storm surge data provides projections of surge height for the linear trend, the 5th and 95th percentiles throughout the 21st Century for 2, 10, 20 and 50 year return period events (including statistical significance) over a 12km coastal grid. Data are available for a medium emissions scenario (IPCC SRES: A1B), to reflect some aspects of the uncertainty in modelling global and regional climate change eleven different variants of the Met Office Hadley Centre climate model HadCM3 were used to drive eleven corresponding variants of the HadRM3 regional model, which in turn drove the National Oceanography Centre storm surge model (POLCS3).\r\n\r\nNote: The projections do not cover all plausible future outcomes and unlike some other components of UKCP09, the storm surge height projections are not probabilistic, although a range is provided based on the assumption that the 11 simulations are equally likely.\r\n\r\nMore information about the storm surge methodology (including assumptions and caveats) are given in Chapter 4 of the UKCP09 Marine & coastal projections report and the technical note on storm projections." }, "objectObservation": { "ob_id": 2904, "uuid": "465ecd8a305ffb9df2bd8b54cada669f", "short_code": "ob", "title": "UKCP09: Met Office HadRM3-PPE UK model runs", "abstract": "Data from the HadRM3-PPE-UK (Hadley Centre Regional Climate Model) experiment run at the UK Met Office Hadley Centre. This was designed to simulate the regional climate for the UK in the period 1950-2100 for historical and medium (SRESA1B) emissions scenario. This dataset contains output from an ensemble of eleven variants of the MOHC Regional Climate Model (HadRM3), run from 1950-2099 and used to dynamically downscale global climate model (GCM) results as part of the climate change experiments carried out by the Met Office Hadley Centre for the latest UK Climate Projections report.\r\n\r\nThe ensemble model runs included in this dataset are afgcx, afixa, afixc, afixh, afixi, afixj, afixk, afixl, afixm, afixo and afixq." } }, { "ob_id": 70, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 24000, "uuid": "29704dd12685405ba7c514513b011b2b", "short_code": "ob", "title": "UKCP09: UK temperature projections from low, medium and high emissions scenarios' equivalent global temperature changes", "abstract": "The UK Climate Projections 2009 (UKCP09) projections of temperature from low, medium and high emissions scenarios' equivalent global temperature changes. They are probabilistic climate predictions based on families of runs of the Met Office Hadley Centre climate models HadCM3, HadRM3 and HadSM3, plus climate models from other climate centres contributing to IPCC AR4 and CMIP3.\r\n\r\nThe equivalent changes in global temperatures are taken from three emissions scenarios: low (IPCC SRES: B1), medium (IPCC SRES: A1B), and high (IPCC SRES: A1FI). Each scenario provides estimates over seven 30 year period averages: 2010-2039, 2030s = 2020-2049, 2040s = 2030-2059, 2050s = 2040-2069, 2060s = 2050-2079, 2070s = 2060-2089, 2080s = 2070-2099. Temperature changes are given relative to 1961-1990." }, "objectObservation": { "ob_id": 2904, "uuid": "465ecd8a305ffb9df2bd8b54cada669f", "short_code": "ob", "title": "UKCP09: Met Office HadRM3-PPE UK model runs", "abstract": "Data from the HadRM3-PPE-UK (Hadley Centre Regional Climate Model) experiment run at the UK Met Office Hadley Centre. This was designed to simulate the regional climate for the UK in the period 1950-2100 for historical and medium (SRESA1B) emissions scenario. This dataset contains output from an ensemble of eleven variants of the MOHC Regional Climate Model (HadRM3), run from 1950-2099 and used to dynamically downscale global climate model (GCM) results as part of the climate change experiments carried out by the Met Office Hadley Centre for the latest UK Climate Projections report.\r\n\r\nThe ensemble model runs included in this dataset are afgcx, afixa, afixc, afixh, afixi, afixj, afixk, afixl, afixm, afixo and afixq." } }, { "ob_id": 71, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 23998, "uuid": "31cebae359e643ca9dbd1a8d0235d6fe", "short_code": "ob", "title": "UKCP09: Probabilistic projections data of climate parameters over UK land", "abstract": "The UK Climate Projections (UKCP09) probabilistic climate projections of climate change over land. These data consist of various meteorological parameters such as temperature, precipitation, surface pressure, humidity. The projections of future absolute climate that assign a probability level to different climate possibilities, the absolute values, percentage change relative to the observed climate (1961-1990) and percentiles of the parameter projections are provided over 30 year time periods over the projection period 2010-2099. The averaging periods provided are: 2010-2039, 2020-2049, 2030-2059, 2040-2069, 2050-2079, 2060-2089, 2070-2099. Data are provided over three aggregated areas, (1) a 25km grid over the UK, (2) administrative regions that are areas of the UK based on administrative boundaries and (3) river basins that are based on a division of the UK land area based on the Water Framework Directive River Basin Districts. \r\n\r\nIn 2009 the first version of the UK probabilistic projections of climate change over land were provided. In 2013 an update was made to some of the files (version 2). Both versions of this data are made available here with the version 2 data being the most recent. \r\n\r\nThese projections provides an absolute value for the future climate (as opposed to giving values that are relative to a baseline period). A probabilistic climate projection is a measure of strength of evidence in different future climate change outcomes. This measure is dependent on the method used, is based on the current available evidence and encapsulates some, but not all, of the uncertainty associated with projecting future climate.\r\n\r\nThe climate projections report contains further details." }, "objectObservation": { "ob_id": 2904, "uuid": "465ecd8a305ffb9df2bd8b54cada669f", "short_code": "ob", "title": "UKCP09: Met Office HadRM3-PPE UK model runs", "abstract": "Data from the HadRM3-PPE-UK (Hadley Centre Regional Climate Model) experiment run at the UK Met Office Hadley Centre. This was designed to simulate the regional climate for the UK in the period 1950-2100 for historical and medium (SRESA1B) emissions scenario. This dataset contains output from an ensemble of eleven variants of the MOHC Regional Climate Model (HadRM3), run from 1950-2099 and used to dynamically downscale global climate model (GCM) results as part of the climate change experiments carried out by the Met Office Hadley Centre for the latest UK Climate Projections report.\r\n\r\nThe ensemble model runs included in this dataset are afgcx, afixa, afixc, afixh, afixi, afixj, afixk, afixl, afixm, afixo and afixq." } }, { "ob_id": 72, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 424, "uuid": "ebd77a706bddd76329fcab7e8e212062", "short_code": "ob", "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database derived data", "abstract": "Data from the Bjerknes Centre for Climate Research, Canadian Centre for Climate Modelling and Analysis, Centre National de Recherches Meteorologiques, Meteorological Institute of the University of Bonn, Geophysical Fluid Dynamics Laboratory, Institute of Numerical Mathematics, Institut Pierre Simon Laplace, LASG, Institute of Atmospheric Physics, Max Planck Institute for Meteorology, NASA Goddard Institute for Space Studies, National Center for Atmospheric Research and the Met Office Hadley Centre. " }, "objectObservation": { "ob_id": 11336, "uuid": "2fc528ace82cb9c1a36ebf670671cd59", "short_code": "ob", "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: CGCM3-1-T47 at Canadian Centre for Climate Modelling & Analysis data", "abstract": "Data from the Canadian Centre for Climate Modelling & Analysis CGCM3-1-T47 simulations" } }, { "ob_id": 73, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 424, "uuid": "ebd77a706bddd76329fcab7e8e212062", "short_code": "ob", "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database derived data", "abstract": "Data from the Bjerknes Centre for Climate Research, Canadian Centre for Climate Modelling and Analysis, Centre National de Recherches Meteorologiques, Meteorological Institute of the University of Bonn, Geophysical Fluid Dynamics Laboratory, Institute of Numerical Mathematics, Institut Pierre Simon Laplace, LASG, Institute of Atmospheric Physics, Max Planck Institute for Meteorology, NASA Goddard Institute for Space Studies, National Center for Atmospheric Research and the Met Office Hadley Centre. " }, "objectObservation": { "ob_id": 13395, "uuid": "ece81ac654744a4ba8abea54b3987bdf", "short_code": "ob", "title": "WCRP CMIP3: CGCM3-1-T63 (Canadian Centre for Climate Modelling & Analysis) data.", "abstract": "Data from the Canadian Centre for Climate Modelling & Analysis CGCM3-1-T63 simulations" } }, { "ob_id": 74, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 20374, "uuid": "8b6b52b3a34c4964b35f918555e10ec1", "short_code": "ob", "title": "CRU CY4.00: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.00 (Jan. 1901 - Dec. 2015)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.00 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY3.23 data to include 2015. CRU CY4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.00 is derived directly from the CRU TS4.00 dataset. CRU CY version 4.00 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU CY4.00 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.00. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.00 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, "objectObservation": { "ob_id": 25064, "uuid": "237c618d8b2e49cf8e61d01780f11650", "short_code": "ob", "title": "CRU CY3.25: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.25 (Jan. 1901 - Dec. 2016)", "abstract": "This version of CRU CY is superseded by version 4.01. It is being made available to assist with users moving to the new process. No further releases of version 3 are planned. \r\n\r\nAn updated set of country definitions have been introduced with this version. Please see the appropriate Release Notes. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nThe CRU CY version 3.25 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. \r\n\r\nThis dataset was produced in 2017 by the Climatic Research Unit (CRU) at the University of East Anglia and extends CRU CY 3.24.01.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.25 is derived directly from the CRU TS3.25 dataset. CRU CY version 3.25 spans the period 1901-2016 for 289 countries.\r\n\r\nTo understand the CRU-CY3.25 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.25. It is therefore recommended that all users read the Harris et al, 2014 paper listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." } }, { "ob_id": 75, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25065, "uuid": "d4e823f0172947c5ae6e6b265656c273", "short_code": "ob", "title": "CRU CY4.01: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.01 (Jan. 1901 - Dec. 2016)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.01 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY4.00 data to include 2016. CRU CY4.01 is a full release, differing only in methodology from the existing current version 3 release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.01 is derived directly from the CRU TS4.01 dataset. CRU CY version 4.01 spans the period 1901-2016 for 289 countries.\r\n\r\nTo understand the CRU CY4.01 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.01. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.01 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, "objectObservation": { "ob_id": 20374, "uuid": "8b6b52b3a34c4964b35f918555e10ec1", "short_code": "ob", "title": "CRU CY4.00: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.00 (Jan. 1901 - Dec. 2015)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.00 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY3.23 data to include 2015. CRU CY4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.00 is derived directly from the CRU TS4.00 dataset. CRU CY version 4.00 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU CY4.00 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.00. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.00 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." } }, { "ob_id": 77, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob", "title": "CRU TS4.01: Climatic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2016)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.01 data are month-by-month variations in climate over the period 1901-2016, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.01 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2016.\r\n\r\nThe CRU TS4.01 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.01 is a full release, differing only in methodology from the parallel release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3.\r\n\r\nThe CRU TS4.01 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, "objectObservation": { "ob_id": 20372, "uuid": "edf8febfdaad48abb2cbaf7d7e846a86", "short_code": "ob", "title": "CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.00 data are month-by-month variations in climate over the period 1901-2015, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.00 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2015.\r\n\r\nThe CRU TS4.00 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions.\r\n\r\nThe CRU TS4.00 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." } }, { "ob_id": 78, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 24943, "uuid": "22a878b3ada24590970974588642f585", "short_code": "ob", "title": "HadCRUT4: gridded dataset of global historical surface temperature anomalies, version 4.5.0.0", "abstract": "This is the HadCRUT.4.5.0.0 version of the HadCRUT4 data. \r\n\r\nData are available for each month since January 1850, on a 5 degree grid. \r\nThe gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record. \r\n\r\nThe data consist of 100 ensemble members and the ensemble median, each are available as a separate file where the fourth component of the filename denotes the ensemble member or median. In addition, the variance information is provided under the name uncorrelated. Full error covariance data are available from the Met Office (see the link to the HadCRUT4 homepage in Docs) \r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following paper (see Docs for link to the publication) and this dataset (using the \"citable as\" reference) :\r\n\r\nMorice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187" }, "objectObservation": { "ob_id": 13532, "uuid": "b347afd27083431480739e3b07945327", "short_code": "ob", "title": "HadCRUT4: gridded dataset of global historical surface temperature anomalies. Version 4.4.0.0", "abstract": "This is the HadCRUT.4.4.0.0 version of the HadCRUT4 data. \r\n\r\nData are available for each month since January 1850, on a 5 degree grid. \r\nThe gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record. The ensemble median is provided and is provided as r0.\r\n\r\nError covariance information are available from the Met Office (see the link to the HadCRUT4 homepage in Docs) \r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following paper (see Docs for link to the publication) and this dataset (using the \"citable as\" reference) :\r\n\r\nMorice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187" } }, { "ob_id": 79, "relationType": "Continues", "subjectObservation": { "ob_id": 25046, "uuid": "886f3142adac4acb8ed4a64328d2031d", "short_code": "ob", "title": "Met Office LIDARNET Brize Norton Vaisala CL31 ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Vaisala CL31 ceilometer located at Brize Norton, Oxfordshire. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. This instrument replaced a Vaisala CT25k ceilometer at the site in January 2017.\r\n" }, "objectObservation": { "ob_id": 12629, "uuid": "c65c65edf6144609b9f3a48ab536da59", "short_code": "ob", "title": "Met Office LIDARNET Brize Norton Vaisala CT25k ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Office's Vaisala Ct25k ceilometer located at Brize Norton, Oxfordshire. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.\r\n" } }, { "ob_id": 80, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25093, "uuid": "c9cab04a8b00486e8c20d9ec68931593", "short_code": "ob", "title": "MICROSCOPE: NCAS mobile X-band radar scan data from Davidstow Airfield - Version 2", "abstract": "This dataset contains scan data from the National Centre for Atmospheric Science's (NCAS) mobile X-band radar collected at the Davidstow Airfield, Cornwall, between June and August 2013 as part of the MICROphysicS of COnvective PrEcipitation (MICROSCOPE) project.\r\n\r\nThis version 2 dataset contains improved metadata and uses a revised processing method to improve data accuracy. Users should also note the change in filenaming convention for this instrument whereby the volume number given after the date-time part is no longer provided.\r\n\r\nThe X-band radar is operated as part of the NCAS Atmospheric Measurement Facility's (AMF)." }, "objectObservation": { "ob_id": 12253, "uuid": "4bb383b7d6ca421bbedd57b8097d5664", "short_code": "ob", "title": "MICROSCOPE: NCAS mobile X-band radar scan data from Davidstow Airfield", "abstract": "This dataset contains scan data from the National Centre for Atmospheric Science's (NCAS) mobile X-band radar collected at the Davidstow Airfield, Cornwall, between June and August 2013 as part of the MICROphysicS of COnvective PrEcipitation (MICROSCOPE) project. The X-band radar is operated as part of the NCAS Atmospheric Measurement Facility's (AMF)." } }, { "ob_id": 81, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 24920, "uuid": "717a3fd92989493aae6f4982fd5fca6c", "short_code": "ob", "title": "Cloud Index retrievals from MIPAS ENVISAT L1B using MIPclouds algorithm", "abstract": "This data set contains retrievals from Michelson Interferometer for Passive Atmospheric Sounding on Envisat (MIPAS-ENVISAT) cloud and aerosol and contains information on derived cloud-top height (km), cloud-top temperature (K), cloud extinction (cm-1), with uncertainties. It also includes the measured radiance in the three cloud microwindow bands (832.0-834.4 cm-1, 1232.3-1234.4 cm-1, 1973.0-1983.0 cm-1), with noise equivalent spectral radiance values. Cloud index values are also included which can be used to distinguish different clouds types based on the index value." }, "objectObservation": { "ob_id": 12434, "uuid": "f4545eca3bf343a8acbeb4f71b1f2e72", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v7 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 7.1 data. Improvements with respect to the previous version 5.06 data include a new offset validation algorithm, addition of alignment matrix correction and scan mirror non-linearity correction in geolocation pointing, a new spike detection and correction algorithm, enabling of generation of Optimised Resolution (OR) products from Full Resolution (FR) products for the FR acquisition period, and an update of the format function for the number of sweeps per scan. Data are from 1st July 2002 to 8th April 2012." } }, { "ob_id": 82, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25363, "uuid": "584d4028633a4b7e9fa36da72dbd91c7", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 20081, "uuid": "b70578ae62b745ec9dc2ba42d2ee1311", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 83, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25366, "uuid": "97aebb95404a4bde8405e9cf7e32b9f8", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19892, "uuid": "a897196a8e2b4c30ab8d22dbfe8f98c7", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 2.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 84, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25368, "uuid": "12d6f4bdabe144d7836b0807e65aa0e2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19889, "uuid": "3ba980b6cfba4bb48a5fe9c4efdeffe9", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 85, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25370, "uuid": "edaa7e7324e849f683d3726088a0c7bd", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19888, "uuid": "a2cd1cefc5b84b86bbaa09bb3832e497", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 86, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25371, "uuid": "52266ccfbc3348a8afc27b67d6bbc6c2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19887, "uuid": "49bcb6f29c824ae49e41d2d3656f11be", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 2.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 87, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25373, "uuid": "806b30b9dc7f44e6bd56a46d8bccf279", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19886, "uuid": "aaf1d54282e94d5483356521f1b76434", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available." } }, { "ob_id": 88, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25375, "uuid": "b64b1a0ad7874fb39791e99c57b944bc", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19885, "uuid": "8b087afe9d53471ea98ffa092867d289", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available." } }, { "ob_id": 89, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25377, "uuid": "159649796f2943689a836999016188f0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19884, "uuid": "b548475d0a5d4a2b8de40e7b1fa40d7a", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 2.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 90, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25379, "uuid": "915d2340b178494f987a6942e263a2eb", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19883, "uuid": "7852b8af4bda446ab12290b7b106cc3c", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } }, { "ob_id": 91, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 25381, "uuid": "55c20c0cb35b4a7c8ef8b65694fe46e2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, "objectObservation": { "ob_id": 19880, "uuid": "76ad6afa787d4c469122f0b472a988c0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 2.0.", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 2.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available." } }, { "ob_id": 92, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 20369, "uuid": "86d964d18ac242a58e13bb8d1c849b48", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 4.0", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council (STFC) at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. \r\n\r\nThis dataset contains time-series of vertical profiles of derived atmospheric dynamics (wind speed, direction) and structure (indications of refractive index structures and turbulence) from observations taken from the 46.5 MHz pulsed Doppler radar. It is primarily used for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. of the free troposphere (above the boundary layer) and the lower stratosphere, known as the \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - known as the \"M-mode\" (see related dataset); hence the term \"MST\" radar.\r\n\r\nThe instrument has been in operation, using the Doppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was initially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. In 2011 the radar system underwent renovation with significant improvements in radar performance. \r\n\r\nThe version 4.0 (v4.0) data processing scheme is closely related to the version 3 (v3) scheme and uses v3 Cartesian files as input. The main difference is that the horizontal wind components in the v4 Cardinal files represent time averages, which have a smaller random measurement error compared to the single cycle estimates in the v3 Cartesian files.\r\n\r\nData products available from the v4 Cardinal files include time-series profiles of:\r\n - eastward wind\r\n - northward wind\r\n - upward wind\r\n - (radar return) signal power (giving an indication of atmospheric structure) - also known as echo power\r\n - (beam broadening) corrected spectral width (giving a measure of turbulence intensity)\r\n - tropopause altitude and sharpness\r\n\r\nA full list of variables will be added to this record in due course.\r\n\r\nQuick look plots for these data are available - see related links under the \"docs\" tab below.\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." }, "objectObservation": { "ob_id": 12696, "uuid": "6d9a74e917d04cde9f0f7fa5fb3a9dd4", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." } }, { "ob_id": 93, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 12696, "uuid": "6d9a74e917d04cde9f0f7fa5fb3a9dd4", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." }, "objectObservation": { "ob_id": 6157, "uuid": "68b60c9a6ac4ff3f015bdad6e0f5a4b5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility data v2", "abstract": "Version 2 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesosphere between 65 and 80 km.\r\n\r\nThese data include both the radial beam data plus the resulting Cartesian products.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available.\r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 94, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 12696, "uuid": "6d9a74e917d04cde9f0f7fa5fb3a9dd4", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." }, "objectObservation": { "ob_id": 6160, "uuid": "215d6d99e46ceb067e9ee78b89f513d5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: mesospheric structure and dynamics oberservations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n" } }, { "ob_id": 95, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 12696, "uuid": "6d9a74e917d04cde9f0f7fa5fb3a9dd4", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." }, "objectObservation": { "ob_id": 6160, "uuid": "215d6d99e46ceb067e9ee78b89f513d5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: mesospheric structure and dynamics oberservations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n" } }, { "ob_id": 96, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 12696, "uuid": "6d9a74e917d04cde9f0f7fa5fb3a9dd4", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." }, "objectObservation": { "ob_id": 6163, "uuid": "b78bc5371b049211d3f67bedd5675e93", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Raw Data", "abstract": "Data from the instruments at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km. Surface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. Other instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 97, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 20369, "uuid": "86d964d18ac242a58e13bb8d1c849b48", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 4.0", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council (STFC) at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. \r\n\r\nThis dataset contains time-series of vertical profiles of derived atmospheric dynamics (wind speed, direction) and structure (indications of refractive index structures and turbulence) from observations taken from the 46.5 MHz pulsed Doppler radar. It is primarily used for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. of the free troposphere (above the boundary layer) and the lower stratosphere, known as the \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - known as the \"M-mode\" (see related dataset); hence the term \"MST\" radar.\r\n\r\nThe instrument has been in operation, using the Doppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was initially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. In 2011 the radar system underwent renovation with significant improvements in radar performance. \r\n\r\nThe version 4.0 (v4.0) data processing scheme is closely related to the version 3 (v3) scheme and uses v3 Cartesian files as input. The main difference is that the horizontal wind components in the v4 Cardinal files represent time averages, which have a smaller random measurement error compared to the single cycle estimates in the v3 Cartesian files.\r\n\r\nData products available from the v4 Cardinal files include time-series profiles of:\r\n - eastward wind\r\n - northward wind\r\n - upward wind\r\n - (radar return) signal power (giving an indication of atmospheric structure) - also known as echo power\r\n - (beam broadening) corrected spectral width (giving a measure of turbulence intensity)\r\n - tropopause altitude and sharpness\r\n\r\nA full list of variables will be added to this record in due course.\r\n\r\nQuick look plots for these data are available - see related links under the \"docs\" tab below.\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." }, "objectObservation": { "ob_id": 12696, "uuid": "6d9a74e917d04cde9f0f7fa5fb3a9dd4", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 3", "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. The 46.5 MHz pulsed Doppler radar is used primarily for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. over most of the troposphere and the lower stratosphere - hence the term \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - hence the term \"M-mode\" (see related dataset).\r\n\r\nThe instrument has been in operation, using the Dopppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was intially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. \r\n\r\nThis dataset includes radial data products, i.e. range profiles along each beam pointing direction, and the \"Cartesian\" data products that are derived from them in the form of altitude profiles. The latter are used for most purposes. Data products are derived from the version 3 processing scheme, which supersedes earlier versions. Further details can be found via the linked documentation. Radial data products include:\r\n\r\nsignal power (relates to atmospheric structure)\r\nradial velocity (relates to wind speed along the beam pointing direction)\r\nspectral width (relates to turbulence intensity)\r\n\r\nCartesian data products include:\r\n\r\nhorizontal wind components (zonal and meridional)\r\nvertical wind velocity\r\nvertical beam signal power\r\ntropopause altitude\r\nvertical beam spectral width\r\nradar return aspect sensitivity\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute." } }, { "ob_id": 98, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 6157, "uuid": "68b60c9a6ac4ff3f015bdad6e0f5a4b5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility data v2", "abstract": "Version 2 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesosphere between 65 and 80 km.\r\n\r\nThese data include both the radial beam data plus the resulting Cartesian products.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available.\r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." }, "objectObservation": { "ob_id": 6154, "uuid": "367fdf52f48050d4e4ad88a3fc5563a5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Wind Version 1 data", "abstract": "Version 1 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesosphere between 65 and 80 km. \r\n\r\nThese data include both the radial beam data plus the resulting Cartesian products.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. \r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 99, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 6157, "uuid": "68b60c9a6ac4ff3f015bdad6e0f5a4b5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility data v2", "abstract": "Version 2 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesosphere between 65 and 80 km.\r\n\r\nThese data include both the radial beam data plus the resulting Cartesian products.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available.\r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." }, "objectObservation": { "ob_id": 6163, "uuid": "b78bc5371b049211d3f67bedd5675e93", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Raw Data", "abstract": "Data from the instruments at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km. Surface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. Other instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 100, "relationType": "IsNewVersionOf", "subjectObservation": { "ob_id": 6154, "uuid": "367fdf52f48050d4e4ad88a3fc5563a5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Wind Version 1 data", "abstract": "Version 1 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesosphere between 65 and 80 km. \r\n\r\nThese data include both the radial beam data plus the resulting Cartesian products.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. \r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." }, "objectObservation": { "ob_id": 6118, "uuid": "ef91b8184e0b44f66d89ed985c81ceb2", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar version 0 data products", "abstract": "Version 0 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales represents processing scheme in place from the early 1990s until 2007. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesophere between 65 and 80 km.\r\n\r\nThe data in this dataset include echo power as well as radial and vector winds components.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available.\r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 101, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 6154, "uuid": "367fdf52f48050d4e4ad88a3fc5563a5", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Wind Version 1 data", "abstract": "Version 1 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesosphere between 65 and 80 km. \r\n\r\nThese data include both the radial beam data plus the resulting Cartesian products.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. \r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." }, "objectObservation": { "ob_id": 6163, "uuid": "b78bc5371b049211d3f67bedd5675e93", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Raw Data", "abstract": "Data from the instruments at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km. Surface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. Other instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 102, "relationType": "IsDerivedFrom", "subjectObservation": { "ob_id": 6118, "uuid": "ef91b8184e0b44f66d89ed985c81ceb2", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar version 0 data products", "abstract": "Version 0 processing of data from the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar near Aberystwyth in West Wales represents processing scheme in place from the early 1990s until 2007. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km, with additional measurements from the mesophere between 65 and 80 km.\r\n\r\nThe data in this dataset include echo power as well as radial and vector winds components.\r\n\r\nSurface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available.\r\n\r\nOther instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." }, "objectObservation": { "ob_id": 6163, "uuid": "b78bc5371b049211d3f67bedd5675e93", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Raw Data", "abstract": "Data from the instruments at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility near Aberystwyth in West Wales. The principal measurements made by the MST radar are of the three dimensional wind vector over the altitude range 2 - 20 km. Surface meteorological measurements from the radar site, ceilometer data, sky camera images and wind speed and direction recorded from a 10m tower located 6km away are also available. Other instruments at the facility have included one of the Met Office's boundary layer wind profilers and NCAS's boundary layer wind profiler." } }, { "ob_id": 103, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 6166, "uuid": "8d7a920827e6137145f75dfe08d322dc", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface pressure, temperature and relative humidity data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface pressure, temperature and humidity data (PTU) were collected by a Vaisala WXT510 instrument located at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales.\r\n\r\nRainfall rate data from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." }, "objectObservation": { "ob_id": 6169, "uuid": "62b7c0a31297c5a0fe115083eb8036c6", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface precipitation data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface precipitation measurements from the precipitation sensor on the Vaisala WXT510 instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. \r\n\r\nThese data are available to any registered CEDA user under the UK Open Government Licence.\r\n\r\nSurface pressure, temperature and humidity data (PTU) from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." } }, { "ob_id": 104, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 6166, "uuid": "8d7a920827e6137145f75dfe08d322dc", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface pressure, temperature and relative humidity data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface pressure, temperature and humidity data (PTU) were collected by a Vaisala WXT510 instrument located at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales.\r\n\r\nRainfall rate data from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." }, "objectObservation": { "ob_id": 6169, "uuid": "62b7c0a31297c5a0fe115083eb8036c6", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface precipitation data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface precipitation measurements from the precipitation sensor on the Vaisala WXT510 instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. \r\n\r\nThese data are available to any registered CEDA user under the UK Open Government Licence.\r\n\r\nSurface pressure, temperature and humidity data (PTU) from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." } }, { "ob_id": 105, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 6166, "uuid": "8d7a920827e6137145f75dfe08d322dc", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface pressure, temperature and relative humidity data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface pressure, temperature and humidity data (PTU) were collected by a Vaisala WXT510 instrument located at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales.\r\n\r\nRainfall rate data from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." }, "objectObservation": { "ob_id": 6146, "uuid": "63c30b6310faa22e90b7e4a7adce1fa2", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface winds from the WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface wind measurements are available from the Vaisala WXT510 surface meteorology instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales from 2007 to 2015. Wind speed and direction are measured by a WINDCAP (R) sensor which consists of an array of three equally-spaced ultrasonic transducers. These transducers are situated approximately 11 cm apart in a horizontal plane, leading to minimum, mean, and maximum values of speed and direction to be recorded. Data are available in netCDF formatted data files to all CEDA registered users under the UK Open Government licence.\r\n\r\nThis instrument has since been replaced by a Vaisala WXT520 surface meteorology instrument at the site.\r\n\r\nNote - the wind data from this instrument are known to be highly constrained by the valley topography in which the instrument is sited. As such it should not be used as a representation of the broad scale wind field, but may be of interest to those wishing to study valley flows." } }, { "ob_id": 106, "relationType": "IsSupplementedBy", "subjectObservation": { "ob_id": 6166, "uuid": "8d7a920827e6137145f75dfe08d322dc", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface pressure, temperature and relative humidity data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface pressure, temperature and humidity data (PTU) were collected by a Vaisala WXT510 instrument located at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales.\r\n\r\nRainfall rate data from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." }, "objectObservation": { "ob_id": 6146, "uuid": "63c30b6310faa22e90b7e4a7adce1fa2", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface winds from the WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface wind measurements are available from the Vaisala WXT510 surface meteorology instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales from 2007 to 2015. Wind speed and direction are measured by a WINDCAP (R) sensor which consists of an array of three equally-spaced ultrasonic transducers. These transducers are situated approximately 11 cm apart in a horizontal plane, leading to minimum, mean, and maximum values of speed and direction to be recorded. Data are available in netCDF formatted data files to all CEDA registered users under the UK Open Government licence.\r\n\r\nThis instrument has since been replaced by a Vaisala WXT520 surface meteorology instrument at the site.\r\n\r\nNote - the wind data from this instrument are known to be highly constrained by the valley topography in which the instrument is sited. As such it should not be used as a representation of the broad scale wind field, but may be of interest to those wishing to study valley flows." } }, { "ob_id": 107, "relationType": "IsSupplementTo", "subjectObservation": { "ob_id": 6169, "uuid": "62b7c0a31297c5a0fe115083eb8036c6", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface precipitation data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface precipitation measurements from the precipitation sensor on the Vaisala WXT510 instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. \r\n\r\nThese data are available to any registered CEDA user under the UK Open Government Licence.\r\n\r\nSurface pressure, temperature and humidity data (PTU) from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." }, "objectObservation": { "ob_id": 6166, "uuid": "8d7a920827e6137145f75dfe08d322dc", "short_code": "ob", "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface pressure, temperature and relative humidity data from the Vaisala WXT510 instrument, Capel Dewi site, Wales (2007-2015)", "abstract": "Surface pressure, temperature and humidity data (PTU) were collected by a Vaisala WXT510 instrument located at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales.\r\n\r\nRainfall rate data from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection.\r\n\r\nThe WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection.\r\n\r\nIndependent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection." } } ] }