{"numFound":157,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FHydrology%2F","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FHydrology%2F","results":[{"publicationDate":"2012-04-01T00:00:00.000+00:00","altTitle":["FF-HadRM3-PPE"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["C.","S.","D.","J.","G.","L.","H.","T."],"authorFamilyName":["Prudhomme","Dadson","Morris","Williamson","Goodsell","Crooks","Boolee","Davies","Buys","Lafon"],"authorFullName":["Prudhomme, C.","Dadson, S.","Morris, D.","Williamson, J.","Goodsell, G.","Crooks, S.","Boolee, L.","Davies, H.","Buys, G.","Lafon, T."],"authorOrcid":["https://orcid.org/0000-0003-1722-2497"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Future Flows Climate (FF-HadRM3-PPE) is an eleven-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation, which is the precipiated water available to hydrological processes after delays due to snow and ice storage are accounted for; and monthly reference Potential Evapotranspiration calculated using the FAO56 method. Future Flows Climate is derived from the Hadley Centre's Regional climate projection ensemble HadRM3-PPE based on 11 different variants of the regional climate model run under the SRES A1B emission scenario. HadRM3-PPE is underpinning the UKCP09 products. Bias correction and spatial downscaling were applied to the total precpitation and air temperature variables before Future Flows Climate APr and PE were generated. The development of Future Flows Climate was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions.","documentType":"GEMINI_DOCUMENT","identifier":"bad1514f-119e-44a4-8e1e-442735bb9797","incomingCitationCount":6,"givenName":["C.","S.","D.","J.","G.","L.","H.","T."],"familyName":["Prudhomme","Dadson","Morris","Williamson","Goodsell","Crooks","Boolee","Davies","Buys","Lafon"],"fullName":["Prudhomme, C.","Dadson, S.","Morris, D.","Williamson, J.","Goodsell, G.","Crooks, S.","Boolee, L.","Davies, H.","Buys, G.","Lafon, T."],"keyword":["Climate and climate change","Hydrology","climate","atmospheric precipitation","modelling","hydrology"],"keywordsTheme":["Climate and climate change","Hydrology"],"keywordsOther":["climate","atmospheric precipitation","modelling","hydrology"],"licence":"Non-Open government licence","lineage":"A modified version of the 11-member HadRM3-PPE ensemble projection assuming SRES-A1B emissions scenario developed for hydrological application in March 2012. It cover land areas of Great Britain at a 1-km resolution and contains 11 sets of 1951-2098 equally likely time series for two data types daily Available Precipitation (incorporating delays due to water storage as snow and ice) and monthly Potential Evapotranspiritation time series. Future Flows Climate used a monthly bias-correction and downscaling procedure based on the Gamma distribution (precipitation) and linear model (temperature). Potential Evapotranspiration is calculated using the FAO56 formulation with monthly bias-corrected downscaled temperature and HadRM3-PPE original time series for the other variables. As Future Flows Climate datasets are derived from climate model outputs they do not replicate the historical weather but are possible realisations of the climate. Despite the use of bias-correction and downscaling procedures Future Flows Climate might still contain some differences with observed climate and cannot be compared directly with gauged values. SC090016/PN2, SC090016/PN3 SC090016/PN5 project technical notes provide details on the methods used and results.","locations":["POLYGON((-10 50, -10 70, 5 70, 5 50, -10 50))"],"orcid":["https://orcid.org/0000-0003-1722-2497"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1328785794937","https://catalogue.ceh.ac.uk/id/bad1514f-119e-44a4-8e1e-442735bb9797","10.5285/bad1514f-119e-44a4-8e1e-442735bb9797"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Future flows climate data","topic":["0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"Future Flows Climate (FF-HadRM3-PPE) is an eleven-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation,..."},{"publicationDate":"2024-07-03T00:00:00.000+00:00","authorAffiliation":["University of Cambridge","University of St Andrews"],"authorGivenName":["A.C.G.","L.","E.T."],"authorFamilyName":["Knight","Bridgestock","Tipper"],"authorFullName":["Knight, A.C.G.","Bridgestock, L.","Tipper, E.T."],"authorOrcid":["https://orcid.org/0000-0002-3206-3060","https://orcid.org/0000-0001-7636-6090","https://orcid.org/0000-0003-3540-3558"],"authorRor":["https://ror.org/013meh722","https://ror.org/02wn5qz54"],"catalogue":"eidc","description":"This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite, iron-oxyhydroxides: goethite and ferrihydrite) and surface waters (river water, groundwater and seawater).  The experiments systematically changed several variables (reaction duration, adsorbent concentration, water type and the pre-experiment adsorbent cleaning procedure).\n\nBarium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases from two Himalayan rivers (Saptakoshi River and Sunkoshi River) are also provided.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007164/1"],"identifier":"cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","incomingCitationCount":0,"givenName":["A.C.G.","L.","E.T."],"familyName":["Knight","Bridgestock","Tipper"],"fullName":["Knight, A.C.G.","Bridgestock, L.","Tipper, E.T."],"keyword":["Himalayas","Nepal","Saptakoshi River","Sunkoshi River","Hydrology","Environmental survey","ion-exchange","isotope experiments","barium","barium isotopes","adsorption","desorption","clay","clay minerals","aqueous geochemistry","iron-oxyhydroxides"],"keywordsPlace":["Himalayas","Nepal","Saptakoshi River","Sunkoshi River"],"keywordsTheme":["Hydrology","Environmental survey"],"keywordsOther":["ion-exchange","isotope experiments","barium","barium isotopes","adsorption","desorption","clay","clay minerals","aqueous geochemistry","iron-oxyhydroxides"],"licence":"Open government licence","lineage":"All experiments and analyses were performed in the Department of Earth Sciences at the University of Cambridge.\n\nBarium concentrations were determined in two independent ways:\n1.    Inductively coupled plasma optical emission spectroscopy (ICP-OES) on an Agilent 5100.\n2.\tIsotope dilution via thermal ionisation mass spectrometer (TIMS) on a Thermo Fischer Scientific Triton Plus.\n\nBarium isotope ratios were measured via TIMS on a Thermo Fischer Scientific Triton Plus. Barium was separated from other elements via column elution chromatography (AG50W-X8 resin). A double-spike procedure was used to correct for mass-dependent isotope fractionation. The NIST-3104a and NBS-127 standards were used to quantify the uncertainty associated with isotope ratio measurements (0.03 ‰).\n\nField samples of river water and sediment were collected from the surface of the water column from stationary sampling locations (Chatara and Khurkot) as part of the Perturbations of Earth Surface Processes by Large Earthquakes (PRESSurE) Project:  https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/.  The water and sediment samples were immediately separated following collection via filtration through 0.22-micrometre polyethersulfone (PES) membrane filters. Further information on the field samples can be found at: https://doi.org/10.5880/fidgeo.2024.008. The desorption of barium from the surfaces of sediment and the laboratory adsorbents was achieved using repeated additions of 1.0 mol/L ammonium chloride (Puratronic™, 99.999% (metals basis), Thermo Scientific Chemicals).","locations":["POLYGON((84.99 26.647, 84.99 28.517, 88.321 28.517, 88.321 26.647, 84.99 26.647))"],"orcid":["https://orcid.org/0000-0002-3206-3060","https://orcid.org/0000-0001-7636-6090","https://orcid.org/0000-0003-3540-3558"],"organisation":["University of Cambridge","University of St Andrews","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","10.5285/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"state":"published","title":"Barium concentration and stable isotope ratio measurements of the dissolved and adsorbed phases from laboratory batch experiments and Himalayan river samples from 2015-2016","topic":["0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite,..."},{"publicationDate":"2022-11-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Reading"],"authorGivenName":["E.","J.R.","John","P.","G.","J."],"authorFamilyName":["Trill","Blake","Robotham","Scarlett","Rameshwaran","Old","Clark"],"authorFullName":["Trill, E.","Blake, J.R.","Robotham, J.","Scarlett, P.","Rameshwaran, P.","Old, G.","Clark, J."],"authorOrcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-0412-8824"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains information about surface and sub-surface hydraulic and hydrological soil properties across the Thames (UK) catchment. Soil dry bulk density, estimated soil porosity, soil moisture and soil moisture retention (to 100 cm suction) were determined through laboratory analysis of soil samples collected at five depths between the surface and 100 cm below ground level (where possible). Surface soil infiltration rates were measured, and soil saturated hydraulic conductivity was calculated at 25 cm and 45 cm depths (where possible). \n\nField scale point data were collected at seven sites in the Thames Catchment, with three sub-groups of sites under different land use and management practices. The first land management group included three arable fields in the Cotswolds, Gloucestershire, on shallow soils over Limestone with no grass in rotation, herbal leys in rotation or rye and clover in rotation. The second group included two arable fields in near Wantage, Oxfordshire, on free draining loamy soils over chalk with conventional management or controlled traffic. The final group included a permanent grassland and broadleaf woodland on slowly permeable soil over mudstone near Oxford, Oxfordshire. Data were collected in representative infield areas; trafficked areas (e.g. tramlines or animal tracks), and untrafficked margins.\n\nSamples and measurements were taken between April 2021 and October 2021, with repeats taken before and after harvest.\n\nSoil samples were collected using Eijkelkamp 07.53.SC sample ring kit with closed ring holder and the Edelman auger and Stony auger when required. Infiltration measurements were taken using Mini Disk Infiltrometers. Soil saturated hydraulic conductivity was measured using Guelph permeameters. Soil bulk density and porosity were calculated using oven drying methods. Soil moisture retention was calculated using an Eijelkamp Sandbox.\n\nThis dataset was collected by UKCEH as part of the 'Land management in lowland catchments for integrated flood risk reduction' (LANDWISE) project. LANDWISE seeks to examine how land use and management can be used to reduce the risk of flooding for communities. LANDWISE is one of three projects comprising the Natural Environment Research Council Natural Flood Management Research Programme. The work was supported by the Natural Environment Research Council Grant NE/R004668/1.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R004668/1"],"identifier":"a32f775b-34dd-4f31-aafa-f88450eb7a90","incomingCitationCount":0,"givenName":["E.","J.R.","John","P.","G.","J."],"familyName":["Trill","Blake","Robotham","Scarlett","Rameshwaran","Old","Clark"],"fullName":["Trill, E.","Blake, J.R.","Robotham, J.","Scarlett, P.","Rameshwaran, P.","Old, G.","Clark, J."],"keyword":["Hydrology","Soil","Land use","Agriculture","Thames catchment","England","Soil properties","Surface","Sub-surface","Soil moisture retention","Soil bulk density","Soil porosity","Soil infiltration rate","Soil saturated hydraulic conductivity","LANDWISE","Land management","soil","hydraulics","soil moisture"],"keywordsTheme":["Hydrology","Soil","Land use","Agriculture"],"keywordsOther":["Thames catchment","England","Soil properties","Surface","Sub-surface","Soil moisture retention","Soil bulk density","Soil porosity","Soil infiltration rate","Soil saturated hydraulic conductivity","LANDWISE","Land management","soil","hydraulics","soil moisture"],"licence":"Open government licence","lineage":"Soil samples were collected using Eijkelkamp 07.53.SC sample ring kit with closed ring holder and the Edelman auger and Stony auger when required. Samples were collected within representative field areas, sealed in bags and refrigerated the same day as collection, prior to laboratory analysis. Soil bulk density and porosity were calculated using oven drying methods.\n\nSurface infiltration measurements were taken using Minidisk Infiltrometers. Soil saturated hydraulic conductivity was measured using Guelph Permeameters. Soil moisture retention was calculated using an Eijelkamp Sandbox. Measurements and samples were taken at nearby but offset locations to avoid errors from soil disturbance from previous measurements.\n\nData were quality controlled by an independent assessor to flag any transcription errors or potentially spurious readings, checking against original field and lab sheets, then either correcting or removing the data as appropriate.","locations":["POLYGON((-1.986 51.57, -1.986 51.8, -1.3 51.8, -1.3 51.57, -1.986 51.57))"],"orcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-0412-8824"],"organisation":["UK Centre for Ecology & Hydrology","University of Reading","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a32f775b-34dd-4f31-aafa-f88450eb7a90","10.5285/a32f775b-34dd-4f31-aafa-f88450eb7a90"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Hydraulic and hydrological data from surface and subsurface soils across the Thames catchment, UK, 2021","topic":["0/Hydrology/","0/Soil/","0/Land use/","0/Agriculture/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains information about surface and sub-surface hydraulic and hydrological soil properties across the Thames (UK) catchment. Soil dry bulk density, estimated soil porosity, soil moisture and soil moisture retention (to 100 cm suction) were determined..."},{"publicationDate":"2022-02-03T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","G.","P.","E."],"authorFamilyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"authorFullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"authorOrcid":["https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-6233-8942"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021. The turbidity and concentration data were derived from a combination of instream sensors and lab-analysed water samples. Discharge data were derived using a stage-discharge rating curve constructed from manual measurements of flow velocity and water level sensor measurements. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. There are some periods of data gaps within the timeseries as a result of sensor errors which have been excluded. These data may be used to calculate suspended sediment and phosphorus fluxes loads leaving the catchment.\n\nThis work was supported by the Natural Environment Research Council (Grant NE/L002531/1).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002531/1"],"identifier":"9f80e349-0594-4ae1-bff3-b055638569f8","incomingCitationCount":0,"givenName":["J.","G.","P.","E."],"familyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"fullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"keyword":["Oxfordshire","Cotswolds","Hydrology","suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"keywordsPlace":["Oxfordshire","Cotswolds"],"keywordsTheme":["Hydrology"],"keywordsOther":["suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"licence":"Open government licence","lineage":"Data were generated using water level and turbidity sensors. Spot measurements of stream discharge were made using the velocity-area method and the dilution method to construct rating curves. Water samples were also taken across a range of flows to analyse suspended sediment and total phosphorus concentrations (mg L-1) in order to calibrate the turbidity readings. Data underwent QC to flag any spurious readings in the timeseries which were then removed and linearly interpolated where appropriate.","locations":["POLYGON((-1.664 51.852, -1.664 51.886, -1.603 51.886, -1.603 51.852, -1.664 51.852))"],"orcid":["https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-6233-8942"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f80e349-0594-4ae1-bff3-b055638569f8","10.5285/9f80e349-0594-4ae1-bff3-b055638569f8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"High-resolution time series of turbidity, suspended sediment concentration, total phosphorus concentration, and discharge in the Littlestock Brook, England, 2017-2021","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021...."},{"publicationDate":"2020-05-20T00:00:00.000+00:00","authorAffiliation":["British Geological Survey","Imperial College London","Ashoka Trust for Research in Ecology and the Environment","British Geological Survey ","T.M. Bhagalpur University"],"authorGivenName":["B.","J.","T.","C.","S.","A."],"authorFamilyName":["Ó Dochartaigh","O'Keeffe","Nair","Jackson","Krishnaswamy","Chaudhary","MacDonald"],"authorFullName":["Ó Dochartaigh, B.","O'Keeffe, J.","Nair, T.","Jackson, C.","Krishnaswamy, J.","Chaudhary, S.","MacDonald, A."],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/041kmwe10","https://ror.org/02e22ra24","https://ror.org/009p4eg54"],"catalogue":"eidc","description":"The dataset contains stable isotope data from surface and groundwater samples collected in the Gandak Basin, north India. The data was collected between March 2017 and February 2019. These measurements were taken to improve understanding of surface and subsurface water interconnections and movement through river and canal networks and underlying aquifers.\n\nThe data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N01670X/1"],"identifier":"09ae86d6-896f-430f-aab4-c5b46c265213","incomingCitationCount":1,"givenName":["B.","J.","T.","C.","S.","A.","Jimmy"],"familyName":["Ó Dochartaigh","O'Keeffe","Nair","Jackson","Krishnaswamy","Chaudhary","MacDonald"],"fullName":["Ó Dochartaigh, B.","O'Keeffe, J.","Nair, T.","Jackson, C.","Krishnaswamy, J.","Chaudhary, S.","MacDonald, A."],"keyword":["Gandak river","Coupled Human and Natural Systems Environment (CHANSE)","Environmental survey","Hydrology","isotope","groundwater","surface water"],"keywordsPlace":["Gandak river"],"keywordsProject":["Coupled Human and Natural Systems Environment (CHANSE)"],"keywordsTheme":["Environmental survey","Hydrology"],"keywordsOther":["isotope","groundwater","surface water"],"licence":"Open government licence","lineage":"Stable isotope values for 108 water samples collected in the Gandak River Basin, in Bihar, India are presented, with accompanying values for SEC (specific electrical conductivity) for most of these samples. Samples were collected between February 2017 and February 2019, of surface water, groundwater and rainfall. Most groundwater samples were sampled from boreholes or wells that were in regular daily use. Samples were unfiltered and were bottled at source in Nalgene sample bottles, filled to brim to avoid air, and labelled at source. SEC was measured at source using a field SEC meter. Samples were analysed for the stable isotopes deuterium and oxygen-18 by mass spectrometry, at British Geological Survey laboratories in the UK. Further details can be found in the supporting information.\n\n Samples were taken by staff from the British Geological Survey, Imperial College London, Tilka Manjhi Bhagalpur University, Bihar and Ashoka Trust for Research in Ecology and the Environment (ATREE). \n\nThe data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1.","locations":["POLYGON((81.124 25.145, 81.124 28.476, 88.154 28.476, 88.154 25.145, 81.124 25.145))"],"organisation":["British Geological Survey","Imperial College London","Ashoka Trust for Research in Ecology and the Environment","British Geological Survey ","T.M. Bhagalpur University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/09ae86d6-896f-430f-aab4-c5b46c265213","10.5285/09ae86d6-896f-430f-aab4-c5b46c265213"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04a7gbp98","https://ror.org/041kmwe10","https://ror.org/02e22ra24","https://ror.org/009p4eg54","https://ror.org/04xw4m193"],"state":"published","title":"Surface and groundwater stable isotope analysis using water samples taken from the Gandak River Basin, Bihar, India, 2017-2019","topic":["0/Environmental survey/","0/Hydrology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset contains stable isotope data from surface and groundwater samples collected in the Gandak Basin, north India. The data was collected between March 2017 and February 2019. These measurements were taken to improve understanding of surface and subsurface water..."},{"publicationDate":"2018-03-08T00:00:00.000+00:00","altTitle":["MaRIUS-G2G-Oudin-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1891 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/).\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d","incomingCitationCount":3,"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"keyword":["Great Britain","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"licence":"Non-Open government licence","lineage":"The river flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; doi:10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; doi:10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation derived from 5km temperature data (Perry and Hollis, 2005, doi:10.1002/joc.1161) using the method of Oudin et al. (2005; https://doi.org/10.1016/j.jhydrol.2004.08.026). See Supporting Information for more details.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d","10.5285/0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. ","Website for the National River Flow Archive, with list of gauging stations","Marius project website"],"supplementalName":["NRFA website","Marius project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1891 to 2015...."},{"publicationDate":"2024-04-09T00:00:00.000+00:00","authorAffiliation":["Lancaster University"],"authorGivenName":["Nick A.","K.J.","P.","B."],"authorFamilyName":["Chappell","Beven","Smith","Hankin"],"authorFullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"authorOrcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0001-7465-3934","https://orcid.org/0000-0002-0034-3412","https://orcid.org/0000-0001-7315-3321"],"authorRor":["https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge River Kent measured at the Environment Agency (EA) Sedgwick gauging station (https://nrfa.ceh.ac.uk/data/station/info/73005) through the 1 Oct 2015 to 17 Jan 2016 period were modelled using the latest version of Lancaster University’s Dynamic TOPMODEL (https://cran.r-project.org/web//packages/dynatop/index.html). \n\nThe spatially distributed rainfall field used as input to TOPMODEL was derived from a new direction-dependent and topographically controlled interpolation using observed rainfall data for the Cumbrian Mountains (Page et al., 2022. Hydrological Processes 36: e14758, https://doi.org/10.1002/hyp.14758). \n\nLack of perfect understanding of the hydrological processes routing rainfall for stream channels and then along stream channels to the Sedgwick gauge was represented by using a very wide range of model parameters applied randomly within 10,000 simulations. Using the approach detailed in Beven et al. (2022a. Hydrological Processes 36(10): e14703, https://doi.org/10.1002/hyp.14703), the resultant wide range of simulated discharge time-series was reduced by rejecting all but 67 simulations that passed the prescribed criteria. These 67 baseline simulations of observed behaviour through the +3 month period at Sedgwick are presented here.\n\nTo represent the effect of adding surface storage distributed across this 209 sq km River Kent catchment, the Digital Elevation Model (DEM) used in the baseline simulations according to Hankin et al (2018. Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk) to represent bunds placed on hillslopes in rural areas. The bunds are a type of flood mitigation measure known as Natural Flood Management or NFM. These are known formally as ‘Enhanced Hillslope Storage’ or EHS features (Beven et al 2022b. Hydrological Processes 36: e14752, https://doi.org/10.1002/hyp.14752). The TOPMODEL parameter sets producing the 67 ‘acceptable’ baseline simulations were then re-run with the modified DEM. These results are also presented here.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R004722/1"],"identifier":"af081a90-b014-43f7-9399-c948a8b7672f","incomingCitationCount":0,"givenName":["Nick A.","K.J.","P.","B.","Nick A"],"familyName":["Chappell","Beven","Smith","Hankin"],"fullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"keyword":["River Kent","Cumbria","Hydrology","Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management","NFM","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["River Kent","Cumbria"],"keywordsTheme":["Hydrology"],"keywordsOther":["Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management","NFM","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"licence":"Non-Open government licence","lineage":"The simulations were performed with the latest version of Lancaster University’s distributed catchment model called ‘Dynamic TOPMODEL’. Version 0.2.1 and this is publicly available at: \nhttps://cran.r-project.org/web//packages/dynatop/index.html \n\nDynamic TOPMODEL was used to assess change in flood peaks associated with Natural Flood Management (NFM) by refining the baseline results according to a Condition Tree Approach, where the first step is the choice of model, in this case Dynamic TOPMODEL. \n\nThe second step is establishing a prior range of model parameters (see Table 1 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). \n\nThe third step is the initial sampling strategy of Monte Carlo sampling of prior parameter distributions assuming independent uniform distributions. This gave 100,000 simulated river discharge datasets for the before (baseline) and post-intervention (Enhanced Hillslope Storage) simulations. \n\nThe fourth step was to apply the Limits of Acceptability criteria determined from 2.5 to 97.5 quantiles of distributions of runoff coefficients from past events. These were applied to ranked hydrograph time steps for period in 2015 (Table 1 in Beven et al., 2022b, https://doi.org/10.1002/hyp.14703) including the largest flood on record, with additional timing constraint of ± 2 h. This gave 3249 surviving river discharge datasets for each scenario. \n\nThe fifth step was to undertake additional evaluation of flood peaks, where Limits of acceptability approach was applied ranked hydrograph time steps in 2005 and 2009 (as set out in Table 2 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). This gave 118 surviving river discharge datasets for each scenario. \n\nLastly, step six, the valuation of areas producing saturation excess overland flow was applied. Here simulations producing less than 10% of the area with surface storage greater than 1 mm at any time step additionally rejected. This gave 67 surviving river discharge datasets for each scenario. These 67 results are those presented in this shared dataset.\n\nFor the NFM scenario, the location of the Enhanced Hillslope Storage features across the modelled River Kent catchment was based on the publically available WwNP (Working with Natural Processes) dataset (Hankin et al., 2018 Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk). For the simulations presented in this NFM-scenario dataset, each bund feature was modelled with a residence time of 10 hours.\n","locations":["POLYGON((-3.168 54.038, -3.168 54.456, -2.642 54.456, -2.642 54.038, -3.168 54.038))"],"orcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0001-7465-3934","https://orcid.org/0000-0002-0034-3412","https://orcid.org/0000-0001-7315-3321"],"organisation":["Lancaster University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af081a90-b014-43f7-9399-c948a8b7672f","10.5285/af081a90-b014-43f7-9399-c948a8b7672f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"],"shortenedDescription":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge..."},{"publicationDate":"2021-03-15T00:00:00.000+00:00","authorAffiliation":["University of Birmingham","Durham University","University of Leeds"],"authorGivenName":["G. H.","R. J.","S."],"authorFamilyName":["Sambrook Smith","Hardy","Sinha"],"authorFullName":["Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S."],"authorOrcid":["https://orcid.org/0000-0003-1031-0160"],"authorRor":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33"],"catalogue":"eidc","description":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational Fluid Dynamics (CFD) model that is able to simulate flow both in the boundary layer flow and Brinkman layer. This allows simultaneous predictions of surface and subsurface flow in one numerical scheme. The analysis is applied to undertake a numerical sensitivity experiment to assess how bed permeability influences flow over bed forms typically found in river channels e.g. dunes.\n\nFor the latter the data simulates flow around biofilm-streamers in the laminar flow regime. Numerical simulations simulate the flapping motion of a single biofilm streamer. The major thrust of the study is to investigate the impact of changing Reynolds number on hydrodynamic characteristics of the ambient flow and the frequency of biofilm oscillation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012819/1"],"identifier":"a1fbdde5-688d-4b48-9293-12ecf5563704","incomingCitationCount":1,"givenName":["Greg","G. H.","R. J.","S."],"familyName":["Sambrook Smith","Hardy","Sinha"],"fullName":["Sambrook Smith, G.","Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S."],"keyword":["Hydrology","dunes","computational fluid dynamics","hyporheic flow","CFD"],"keywordsTheme":["Hydrology"],"keywordsOther":["dunes","computational fluid dynamics","hyporheic flow","CFD"],"licence":"Open government licence","lineage":"The numerical data was generated using computational fluid dynamics software. The permeable bed data was created using Phoenics and the biofilm streamer was created using OPENFOAM\n","orcid":["https://orcid.org/0000-0003-1031-0160"],"organisation":["University of Birmingham","Durham University","University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1fbdde5-688d-4b48-9293-12ecf5563704","10.5285/a1fbdde5-688d-4b48-9293-12ecf5563704"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Numerical model output data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational..."},{"publicationDate":"2011-08-01T00:00:00.000+00:00","catalogue":"eidc","description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"givenName":["Tanya","S."],"familyName":["Warnaars","Stagl"],"fullName":["Warnaars, T.","Stagl, S."],"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["UK Centre for Ecology & Hydrology","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"..."},{"publicationDate":"2024-05-02T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University"],"authorGivenName":["M.A.J.","D.A.","I.","S.","A.D.","E.","M.R.","P.O.","M.G.","A.P.","N.C.","D.M.","B.J."],"authorFamilyName":["van Soest","Norris","Lebron","Tandy","Radbourne","Fitos","Brooks","Keenan","Pereira","Pinder","Callaghan","Cooper","Cosby"],"authorFullName":["van Soest, M.A.J.","Norris, D.A.","Lebron, I.","Tandy, S.","Radbourne, A.D.","Fitos, E.","Brooks, M.R.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Callaghan, N.C.","Cooper, D.M.","Cosby, B.J."],"authorOrcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-9494-6272","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0001-5645-3373"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"catalogue":"eidc","description":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted due to the Covid pandemic. Stream samples were taken using a grab technique and filtered in the field. Rain samples were collected using bulk precipitation collectors. Data are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements for the water temperature and stream flow for the six stream locations and air temperature and volume for the rainfall sites.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"cfac5ef3-ad12-4f88-acd8-509e0795d5ed","incomingCitationCount":0,"givenName":["M.A.J.","D.A.","I.","S.","A.D.","E.","M.R.","P.O.","M.G.","A.P.","N.C.","D.M.","B.J."],"familyName":["van Soest","Norris","Lebron","Tandy","Radbourne","Fitos","Brooks","Keenan","Pereira","Pinder","Callaghan","Cooper","Cosby"],"fullName":["van Soest, M.A.J.","Norris, D.A.","Lebron, I.","Tandy, S.","Radbourne, A.D.","Fitos, E.","Brooks, M.R.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Callaghan, N.C.","Cooper, D.M.","Cosby, B.J."],"keyword":["Plynlimon","Hydrology","water chemistry"],"keywordsPlace":["Plynlimon"],"keywordsTheme":["Hydrology"],"keywordsOther":["water chemistry"],"licence":"Open government licence","lineage":"These data presented follow on from the hydrochemical data sets presented in the data series Plynlimon Hydrochemistry data. The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor. Data was being checked and added to an Access database before being extracted to csv and uploaded to EIDC.\n","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"orcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-9494-6272","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0001-5645-3373"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfac5ef3-ad12-4f88-acd8-509e0795d5ed","10.5285/cfac5ef3-ad12-4f88-acd8-509e0795d5ed"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Plynlimon webpage"],"title":"Plynlimon research catchment hydrochemistry (2019-2023)","topic":["0/Hydrology/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted..."},{"publicationDate":"2022-02-21T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["P.","V.A.","M.J.","H.N."],"authorFamilyName":["Rameshwaran","Bell","Brown","Davies"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Brown, M.J.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods.  This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M020428/1"],"identifier":"346124fd-a0c6-490f-b5af-eaccbb26ab6b","incomingCitationCount":1,"givenName":["P.","V.A.","M.J.","H.N."],"familyName":["Rameshwaran","Bell","Brown","Davies"],"fullName":["Rameshwaran, P.","Bell, V.A.","Brown, M.J.","Davies, H.N."],"keyword":["Climate and climate change","Hydrology","Modelling","flow","river"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["flow","river"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP6 daily precipitation and potential evaporation derived from bias-corrected CMIP6 daily temperature data. See Supporting Information for more details.","locations":["POLYGON((-18.281 3.338, -18.281 28.459, 26.191 28.459, 26.191 3.338, -18.281 3.338))"],"orcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/346124fd-a0c6-490f-b5af-eaccbb26ab6b","10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100)..."},{"publicationDate":"2023-05-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","E.M.","D.B.","E.","A.C.","M."],"authorFamilyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd","Wiggins"],"authorFullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C.","Wiggins, M."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-7395-9381"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded daily meteorological variables over Great Britain for the years 1961-2019 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model with daily disaggregation.\n\nThe data are provided in gridded netCDF files. There is one file for each variable for each month of the dataset.\n\nThis research has been carried out under national capability funding as part of the NERC Hydro-JULES programme (NE/S017380/1) and under the NERC Changing Water Cycle program (NE/I006087/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S017380/1","NE/I006087/1"],"identifier":"835a50df-e74f-4bfb-b593-804fd61d5eab","incomingCitationCount":0,"givenName":["E.L.","E.M.","D.B.","E.","A.C.","M."],"familyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd","Wiggins"],"fullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C.","Wiggins, M."],"keyword":["Hydrology","Modelling","air pressure","Specific humidity","air temperature","daily temperature range","Precipitation","Surface downwelling longwave radiation","Surface downwelling shortwave radiation","Wind speed","downward longwave radiation","downward shortwave radiation"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["air pressure","Specific humidity","air temperature","daily temperature range","Precipitation","Surface downwelling longwave radiation","Surface downwelling shortwave radiation","Wind speed","downward longwave radiation","downward shortwave radiation"],"licence":"Non-Open government licence","lineage":"Input meteorological data\n\nThe data sources used for the meteorological variables are:\n•\tMet Office Rainfall and Evaporation Calculation System (MORECS) dataset (Hough and Jones, 1997), specifically the daily mean values of air temperature, vapour pressure, hours of bright sunshine and wind speed.\n•\tGridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2019) [CEH-GEAR] for precipitation (https://doi.org/10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c).\n•\tClimatic Research Unit (CRU) Time-Series TS 3.21, CRU TS 3.24, CRU TS 4.03, CRU TS 4.04 (Jones and Harris, 2013; Harris et al., 2014) daily temperature range.\n•\tWATer and global CHange (WATCH) Forcing Data (Weedon et al., 2011) air pressure. 9https://catalogue.ceh.ac.uk/documents/8ebdd74c-ffec-4d5f-b832-e4916df694c8)\n\nOther input data:\n•\tThe Integrated Hydrological Digital Terrain Model (IHDTM) (Morris and Flavin, 1990) 50m resolution elevation\n•\tUK Energy Technology Support Unit (ETSU) 1 km resolution dataset of mean wind speeds. (Newton and Burch, 1985; Burch and Ravenscroft, 1992)\n\nThe MORECS variables were downscaled from 40 km to 1 km resolution by interpolating and adjusting for local topography using the IHDTM elevation and the ETSU wind speeds, then used to calculate the required Climate hydrology and ecology research support system (CHESS) variables. The Gridded estimates of daily and monthly areal rainfall for the United Kingdom (CEH-GEAR) precipitation was scaled to the appropriate units. The CRU TS daily temperature range was regridded from 0.5 degree to 1 km resolution with no interpolation, the monthly value is used for every day of the relevant month. A mean-monthly climatology of the WATCH Forcing Data air pressure was downscaled from 0.5 degree to 1 km resolution by adjusting for local topography, and the mean monthly value used for each day of the relevant month.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-7395-9381"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/835a50df-e74f-4bfb-b593-804fd61d5eab","10.5285/835a50df-e74f-4bfb-b593-804fd61d5eab"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2019) [CHESS-met]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Gridded daily meteorological variables over Great Britain for the years 1961-2019 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2),..."},{"publicationDate":"2012-04-02T00:00:00.000+00:00","catalogue":"eidc","description":"This dataset is from an array of tensiometers measuring soil water tension installed at the Llyn Hir monitoring site within the Pontbren study site in mid Wales, UK. Three tensiometers were installed at 10 cm, 30 cm, and 50 cm depth and sampled every 10 minutes between September 2008 to December 2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. The Llyn Hir site is an area of unimproved grassland adjacent to the Llyn Hir rain gauge and Llyn Hir outflow stream gauging site (Site 8). Soil water tension data (cm H2O) are provided in the form of .txt files and generally split into 6 month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Details of the dataset and the quality assurance coding system are provided in the supporting documentation. \n\nDatasets from the rain gauges and stream monitoring system at the Llyn Hir site are also provided by the EIDC.  ","documentType":"GEMINI_DOCUMENT","identifier":"4088722b-255c-482c-aeeb-4d1b66deb333","incomingCitationCount":0,"givenName":["M"],"familyName":["Marshall"],"fullName":["Marshall, M."],"keyword":["United Kingdom","Wales","Pontbren","Soil","Hydrology","Flood risk management","Water","Flooding","CEH Water Programme","CEH Project CO2699"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Soil","Hydrology"],"keywordsOther":["Flood risk management","Water","Flooding","CEH Water Programme","CEH Project CO2699"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling.  Full details provided in the 'Pontbren Catchment Study Data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1331812778609","https://catalogue.ceh.ac.uk/id/4088722b-255c-482c-aeeb-4d1b66deb333"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["Wheater, H., Reynolds, B., McIntyre, N., Marshall, M., Jackson, B., Frogbrook, Z., Solloway, I., Francis, O. and Chell, J.  2008.  Impacts of upland management on flood risk: multi-scale modelling on methodology and results from the Pontbren Experiment.  FRMRC Research Report UR 16.  December 2008.  ","Marshall, M.R., Francis, O.J., Frogbrook, Z.L., Jackson, B.M., McIntyre, N., Reynolds, B., Solloway, I., Wheater, H.S. and Chell, J.  2009. The impact of upland land management on flooding: results from an improved pasture hillslope.  Hydrological Processes, 23, 464-475."],"supplementalName":["The Flood Risk Management Research Consortium website"],"title":"Pontbren Llyn Hir study site soil water tension data","topic":["0/Soil/","0/Hydrology/"],"version":1.0,"view":["public","bpu"],"shortenedDescription":"This dataset is from an array of tensiometers measuring soil water tension installed at the Llyn Hir monitoring site within the Pontbren study site in mid Wales, UK. Three tensiometers were installed at 10 cm, 30 cm, and 50 cm depth and sampled every 10 minutes between..."},{"publicationDate":"2021-02-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["S.","V.","A.","L.A.","E.S.","J.R.","D.B.","M.","H.M.","N.","J.G.","P.","O.E.","W.D.","R.","G.V.","D.","P.M.","O.D.","J.L.","E.J.","A.C.","J.B."],"authorFamilyName":["Stanley","Antoniou","Askquith-Ellis","Ball","Bennett","Blake","Boorman","Brooks","Clarke","Cooper","Cowan","Cumming","Evans","Farrand","Fry","Hitt","Lord","Morrison","Nash","Rylett","Scarlett","Swain","Szczykulska","Thornton","Trill","Warwick","Winterbourn"],"authorFullName":["Stanley, S.","Antoniou, V.","Askquith-Ellis, A.","Ball, L.A.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brooks, M.","Clarke, M.","Cooper, H.M.","Cowan, N.","Cumming, A.","Evans, J.G.","Farrand, P.","Fry, M.","Hitt, O.E.","Lord, W.D.","Morrison, R.","Nash, G.V.","Rylett, D.","Scarlett, P.M.","Swain, O.D.","Szczykulska, M.","Thornton, J.L.","Trill, E.J.","Warwick, A.C.","Winterbourn, J.B."],"authorOrcid":["https://orcid.org/0000-0002-8303-2969","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-0203-5958","https://orcid.org/0000-0001-7398-9268","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-6436-5266","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0003-4194-1416","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0003-2987-488X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0003-1611-2042","https://orcid.org/0000-0002-7426-1153","https://orcid.org/0000-0002-5820-7093","https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1318-5281"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2019. These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables.\n\nEach site in the network records the following hydrometeorological and soil data at 30 minute resolution: Radiation (short wave, long wave and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point senors at various depths.\n\nEach site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily).\nThe presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted and the snow water equivalent (SWE) is given.\n\nThe potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution.\n\nTwo levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"b5c190e4-e35d-40ea-8fbe-598da03a1185","incomingCitationCount":9,"givenName":["S.","V.","A.","L.A.","E.S.","J.R.","D.B.","M.","H.M.","N.","J.G.","P.","O.E.","W.D.","R.","G.V.","D.","P.M.","O.D.","J.L.","E.J.","A.C.","J.B."],"familyName":["Stanley","Antoniou","Askquith-Ellis","Ball","Bennett","Blake","Boorman","Brooks","Clarke","Cooper","Cowan","Cumming","Evans","Farrand","Fry","Hitt","Lord","Morrison","Nash","Rylett","Scarlett","Swain","Szczykulska","Thornton","Trill","Warwick","Winterbourn"],"fullName":["COSMOS-UK Project Office","Stanley, S.","Antoniou, V.","Askquith-Ellis, A.","Ball, L.A.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brooks, M.","Clarke, M.","Cooper, H.M.","Cowan, N.","Cumming, A.","Evans, J.G.","Farrand, P.","Fry, M.","Hitt, O.E.","Lord, W.D.","Morrison, R.","Nash, G.V.","Rylett, D.","Scarlett, P.M.","Swain, O.D.","Szczykulska, M.","Thornton, J.L.","Trill, E.J.","Warwick, A.C.","Winterbourn, J.B."],"keyword":["Environmental survey","Hydrology","Soil","absolute humidity","air temperature","atmospheric pressure","cosmic-ray sensing probe","net radiation","potential evapotranspiration","relative humidity","soil heat flux","soil temperature","UK","UK-SCAPE","COSMOS-UK","wind direction","wind speed","Incoming longwave radiation","Outgoing longwave radiation","soil depth 5cm","soil depth 10cm","soil depth 2cm","soil depth 50cm","soil depth 20cm","meteorological parameter","soil","wind","soil moisture","atmospheric humidity","atmospheric precipitation","evapotranspiration"],"keywordsTheme":["Environmental survey","Hydrology","Soil"],"keywordsOther":["absolute humidity","air temperature","atmospheric pressure","cosmic-ray sensing probe","net radiation","potential evapotranspiration","relative humidity","soil heat flux","soil temperature","UK","UK-SCAPE","COSMOS-UK","wind direction","wind speed","Incoming longwave radiation","Outgoing longwave radiation","soil depth 5cm","soil depth 10cm","soil depth 2cm","soil depth 50cm","soil depth 20cm","meteorological parameter","soil","wind","soil moisture","atmospheric humidity","atmospheric precipitation","evapotranspiration"],"licence":"Open government licence","lineage":"Hydrometeorological and soil observations are recorded at sites around the UK using an array of sensors. Every hour, the raw data collected is sent to UKCEH in Wallingford, where it is subject to quality control. Soil volumetric water content data are derived from 30 minute hydrometeorological data and data from the cosmic-ray sensing probe by Python scripts run every hour. The data are calculated using the method outlined in Evans et al. (2016, https://doi.org/10.1002/hyp.10929). Snow water equivalent are derived by Python scripts at the end of the day from the hydrometeorological data according to Wallbank et al. (2020, https://ui.adsabs.harvard.edu/abs/2019EGUGA..2116420W/abstract). Potential evapotranspiration data are derived by Python scripts at the end of the day from the hydrometeorological data according to the Penman-Monteith method (FAO 56, http://www.fao.org/3/X0490E/x0490e00.htm).\n\nAll data, that is raw, quality controlled and derived, is saved in an Oracle database.\n\nSee supporting documentation for further information.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-8303-2969","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-0203-5958","https://orcid.org/0000-0001-7398-9268","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-6436-5266","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0003-4194-1416","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0003-2987-488X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0003-1611-2042","https://orcid.org/0000-0002-7426-1153","https://orcid.org/0000-0002-5820-7093","https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1318-5281"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b5c190e4-e35d-40ea-8fbe-598da03a1185","10.5285/b5c190e4-e35d-40ea-8fbe-598da03a1185"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Evans, J.G., Ward, H.C., Blake, J.R., Hewitt, E.J., Morrison, R., Fry, M., Ball, L. A., Doughty, L.C., Libre, J.W., Hitt, O.E., Rylett, D., Ellis, R.J., Warwick, A.C., Brooks, M., Parkes, M.A., Wright, G.M.H., Singer, A.C., Boorman, D.B., & Jenkins, A. (2016). Soil water content in southern England derived from a cosmic-ray soil moisture observing system - COSMOS-UK. In Hydrological Processes (Vol. 30, Issue 26, pp. 4987–4999). Wiley."],"supplementalName":["COSMOS-UK website"],"title":"Daily and sub-daily hydrometeorological and soil data (2013-2019) [COSMOS-UK]","topic":["0/Environmental survey/","0/Hydrology/","0/Soil/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2019. These data are from 51 sites across the UK recording a range of hydrometeorological..."},{"publicationDate":"2015-03-03T00:00:00.000+00:00","authorAffiliation":["University of Oxford","McGill University","Hadley Centre for Climate Prediction and Research"],"authorGivenName":["T.R.","S.J.","B.","S.","N."],"authorFamilyName":["Marthews","Dadson","Lehner","Abele","Gedney"],"authorFullName":["Marthews, T.R.","Dadson, S.J.","Lehner, B.","Abele, S.","Gedney, N."],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01pxwe438"],"catalogue":"eidc","description":"The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. \n\nPLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors ( https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da ). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points.","documentType":"GEMINI_DOCUMENT","identifier":"6b0c4358-2bf3-4924-aa8f-793d468b92be","incomingCitationCount":12,"givenName":["T.R.","S.J.","B.","S.","N.","Toby"],"familyName":["Marthews","Dadson","Lehner","Abele","Gedney"],"fullName":["Marthews, T.R.","Dadson, S.J.","Lehner, B.","Abele, S.","Gedney, N.","Marthews, T."],"keyword":["Hydrology","Topography","inundation","spatial data","hydrological regimes","hydrology","soil moisture"],"keywordsTheme":["Hydrology"],"keywordsOther":["Topography","inundation","spatial data","hydrological regimes","hydrology","soil moisture"],"licence":"Open government licence","lineage":"The GA2 algorithm has been used to calculate these topographic index values, using base data layers provided by the HydroSHEDS suite of GIS layers. All files were generated using FORTRAN 90 at 15 arc-sec resolution (cells circa 450 m x 450 m at the Equator). PLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors (doi:10/t7d). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["University of Oxford","McGill University","Hadley Centre for Climate Prediction and Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["1425985863014","https://catalogue.ceh.ac.uk/id/6b0c4358-2bf3-4924-aa8f-793d468b92be","10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/01pxwe438","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","title":"High-resolution global topographic index values","topic":["0/Hydrology/"],"version":2.0,"view":["public","phtr"],"shortenedDescription":"The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are..."},{"publicationDate":"2022-11-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of seven-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member.\n\nTo aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid.\n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"18be3704-0a6d-4917-aa2e-bf38927321c5","incomingCitationCount":1,"givenName":["Alison","A.L.","A.C.","H.N.","R.A.","V.A."],"familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.","Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"keyword":["UK-SCAPE","Modelling","Climate and climate change","Hydrology","River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Climate and climate change","Hydrology"],"keywordsOther":["River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018 - https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604) . The projections comprise a twelve-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE derived from other meteorological variables (using the Penman-Monteith scheme). See the documentation accompanying the data for more details.","locations":["POLYGON((-8.903 49.771, -8.903 58.883, 3.181 58.883, 3.181 49.771, -8.903 49.771))"],"orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18be3704-0a6d-4917-aa2e-bf38927321c5","10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2","topic":["0/Modelling/","0/Climate and climate change/","0/Hydrology/"],"version":2.0,"view":["public","dgwr"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and..."},{"publicationDate":"2016-10-19T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey","University College London"],"authorGivenName":["A.R.","C.","C.J.","G.H.","E.J.","R.","K.","I.","P.","J."],"authorFamilyName":["House","Roberts","Stratford","Old","Hewitt","Bell","Manamsa","Woods","Williams","Townsend","Sorensen","Thompson"],"authorFullName":["House, A.R.","Roberts, C.","Stratford, C.J.","Old, G.H.","Hewitt, E.J.","Bell, R.","Manamsa, K.","Woods, I.","Williams, P.","Townsend, J.","Sorensen, J.","Thompson, J."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"catalogue":"eidc","description":"This dataset contains logged and manual observations of groundwater levels for piezometers at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory wetlands at Boxford, Berkshire, for the period February 1 2012 to January 16 2015 (01/02/2012 to 16/01/2015). The CEH River Lambourn Observatory located in Berkshire, UK (51.445o N 1.384o W) comprises c. 10 ha of riparian wetland which is bordered to the east by a 600 m stretch of the River Lambourn. The subsurface architecture comprises bedrock Chalk, overlain by gravels and then peat. Also presented are datums and ground levels for each piezometer, with data available for groundwater levels in peat, gravels and chalk. Groundwater heads were routinely checked at all piezometers by manually dipping observed water levels. At selected piezometers groundwater heads were monitored every 15 minutes using pressure transducers. Piezometers were not anchored to bedrock, though piezometer datum movement due to peat compressibility with saturation was discounted after comparisons of level surveys.","documentType":"GEMINI_DOCUMENT","identifier":"f4b8ca09-31a7-4f20-9fc1-eb35744e28d6","incomingCitationCount":0,"givenName":["A.R.","C.","C.J.","G.H.","E.J.","R.","K.","I.","P.","J.","Gareth"],"familyName":["House","Roberts","Stratford","Old","Hewitt","Bell","Manamsa","Woods","Williams","Townsend","Sorensen","Thompson"],"fullName":["House, A.R.","Roberts, C.","Stratford, C.J.","Old, G.H.","Hewitt, E.J.","Bell, R.","Manamsa, K.","Woods, I.","Williams, P.","Townsend, J.","Sorensen, J.","Thompson, J.","Old, G."],"keyword":["River Lambourn Observatory","Hydrology"],"keywordsPlace":["River Lambourn Observatory"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"An existing gridded piezometer array originally installed by CEH in February 2012 was numbered 1-15. Supplemental piezometers to the same design specification were added in May 2013 to target observed temperature anomalies (locations 16-21). All locations comprise separate peat (P) and gravel (G) piezometers, with the exception of location 8 where the peat was too thin to complete an installation. Gravel piezometers were screened approximately 2.5-3.5 m below ground level (bgl) while peat piezometers were screened across the entire peat thickness. Peat piezometers in the pre-existing array were installed with the slotted screen extending above ground level, while bentonite was used to seal new piezometers with closed screens above ground level. Chalk (C) boreholes are also located at sites 3, 22 and 23; these were screened at 9.5-10.0, 8.0-9.0 and 5.0-6.0 m bgl, respectively.\n\nAt selected piezometers groundwater heads were monitored every 15 minutes using either In-Situ Level Troll 500sTM or SWS DiversTM installed to a consistent depth of 3 m bgl in gravel piezometers and to the base of the peat in peat piezometers. Groundwater heads were routinely checked at all piezometers by manually dipping observed water levels to quality control logged data susceptible to drift.\n\nPiezometers were not anchored to bedrock, with the possible consequence that datums for water levels, taken at the top of piezometers, could move with the expansion and contraction of the peat due to saturation. Though it has been suggested that shallow (<0.5 m) peat generally possesses low compressibility, piezometer elevations were surveyed at periods of low (November 2013) and high (April 2014) water table level to ascertain any vertical movement. Surveys were carried out using Trimble 5600 DRTM total station and Trimble R8TM differential GPS (dGPS). Three total station setups were positioned with dGPS based on line of sight to fixed benchmark points, and to enable best coverage. Selected piezometers were included in the surveys based on line of sight to total station setups. \n\nResults from the surveys showed differences could be grouped dependent on instrument setup. Mean differences for setups 1, 2, and 3 were 0.019, 0.000 and 0.006 m, respectively, which indicate systematic error and are likely due to inaccuracies in the Trimble R8TM GPS receiver due to obstructions, satellite geometry or atmospheric conditions. Variance around the means was not more than 0.003 m, within the accuracy for the Trimble 5600 DRTM total station. Hence, piezometer movement due to peat compressibility with saturation was discounted.","locations":["POLYGON((-1.386 51.442, -1.386 51.448, -1.38 51.448, -1.38 51.442, -1.386 51.442))"],"organisation":["Centre for Ecology & Hydrology","British Geological Survey","University College London","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4b8ca09-31a7-4f20-9fc1-eb35744e28d6","10.5285/f4b8ca09-31a7-4f20-9fc1-eb35744e28d6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"state":"published","title":"Groundwater levels data for the CEH River Lambourn Observatory at Boxford (01/02/2012 to 16/01/2015)","topic":["0/Hydrology/"],"version":1.0,"view":["public","weig"],"shortenedDescription":"This dataset contains logged and manual observations of groundwater levels for piezometers at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory wetlands at Boxford, Berkshire, for the period February 1 2012 to January 16 2015 (01/02/2012 to 16/01/2015)...."},{"publicationDate":"2018-06-19T00:00:00.000+00:00","authorAffiliation":["University of Birmingham"],"authorGivenName":["G.H."],"authorFamilyName":["Sambrook Smith"],"authorFullName":["Sambrook Smith, G.H."],"authorRor":["https://ror.org/03angcq70"],"catalogue":"eidc","description":"These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow configurations. Seventeen different experiments were conducted with different boundary conditions for each one. The biofilm was developed on a 30-cm-long section permeable bed, the biofilm-covered section was then placed in the water channel test section for flow experiments.  Flow rate was regulated by a variable frequency drive controlling the pump speed. Data was recorded at four pump frequencies.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012819/1"],"identifier":"4fecb4cc-e751-4752-9687-09ef92626f63","incomingCitationCount":0,"givenName":["G.H."],"familyName":["Sambrook Smith"],"fullName":["Sambrook Smith, G.H."],"keyword":["Hydrology","Particle image velocimetry","Turbulence","flow","hydrology"],"keywordsTheme":["Hydrology"],"keywordsOther":["Particle image velocimetry","Turbulence","flow","hydrology"],"licence":"Open government licence","lineage":"The raw Particle Imaging Velocimetry  images were processed in LaVision DaVis 8.2 using a sequential cross-correlation algorithm with a final interrogation window size of 642 pixels with 50% overlap, resulting in a vector field resolution of ~0.44 mm and a vector grid spacing of ~0.22 mm.  ","organisation":["University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4fecb4cc-e751-4752-9687-09ef92626f63","10.5285/4fecb4cc-e751-4752-9687-09ef92626f63"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Experimental data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","kath"],"shortenedDescription":"These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow..."},{"publicationDate":"2025-02-11T00:00:00.000+00:00","authorAffiliation":["Newcastle University"],"authorGivenName":["S."],"authorFamilyName":["Birkinshaw"],"authorFullName":["Birkinshaw, S."],"authorOrcid":["https://orcid.org/0000-0003-4989-7915"],"catalogue":"eidc","description":"Hydrological monitoring data for 55 years from 1967 to 2022 for the Coalburn catchment (1.5 km2). The catchment is located in Northern England within Kielder forest, Northumberland, and is the longest running forest research catchment in the UK. In 1972/73 the upland grassland was ploughed and planted with a conifer forest. The trees are now mature and around 30% of the catchment has been felled. From 1967 to 1993 a mixture of hourly and daily data is available and from 1993 onwards all the data is hourly. The data consist of precipitation, discharge, potential evapotranspiration, other meteorological data and snow depths. The data has been extensively quality controlled and can be used for hydrological modelling or data analysis to understand the effects of forests on river flows.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Engineering and Physical Sciences Research Council","Forest Research","Environment Agency"],"grant":["NE/K008781/2"],"identifier":"88d72918-324e-42a8-a4f2-bbbc322814ff","incomingCitationCount":0,"givenName":["S."],"familyName":["Birkinshaw"],"fullName":["Birkinshaw, S."],"keyword":["Northern England","Hydrology","Coalburn","Kielder","forests","logging","precipitation","discharge","potential evapotranspiration","hydrological modelling"],"keywordsPlace":["Northern England"],"keywordsTheme":["Hydrology"],"keywordsOther":["Coalburn","Kielder","forests","logging","precipitation","discharge","potential evapotranspiration","hydrological modelling"],"licence":"Open government licence","lineage":"The Coalburn catchment was first instrumented in 1967 by the Institute of Hydrology (https://nora.nerc.ac.uk/id/eprint/7372/1/IH_133.pdf). The Environment Agency, Forest Research and various NERC and EPSRC grant have enabled continuous measurements to be carried out to the present day. Analysis of the data to 2014 has been carried out (https://doi.org/10.1016/j.jhydrol.2014.07.050). \n\nOriginally 13 precipitation storage gauges were installed around the Coalburn catchment; these were reduced to 4 in 1972 and these 4 gauges were used to calculate the Theissen weighted catchment monthly precipitation from 1967 to 2003. In 1992 a Tipping Bucket Raingauge (TBR) was installed by the Environment Agency of at precipitation storage gauge site 12 near the outlet of the catchment. Corrections were made to the entire TBR time series so the aerially averaged monthly precipitation and the TBR over the coincident period (1992–2003) were comparable.\n\nA compound crump weir was installed at the outlet of the Coalburn catchment in 1966. This was replaced in 1991 due to leakage problems which resulted in some poor/missing data prior to 1991. A new central thin plate V notch within a non-standard broad crested weir was installed in August 1991. The original weir used a theoretical rating curve and there was good agreement between this and the gauged discharges. The new weir also uses a theoretical rating curve and excellent agreement has been found between these and the gauged flows.\nAn automatic weather station (AWS) was installed at Coalburn in 1971 but owing to the remoteness of the site and problems with the equipment there are a considerable number of gaps in its data. The Eskdalemuir weather station is located 45 km north-west of Coalburn at a similar elevation. Data from this location were used for comparison with the AWS at Coalburn and to infill the missing data. Hourly potential evaporation (PET) has been calculated using the Penman–Monteith reference crop evaporation, ET0 , using this meteorological data. Snow depths used measured values from Eskdalemuir. All the data has been quality controlled with missing data infilled from nearby weather stations if possible.\n","locations":["POLYGON((-2.495 55.089, -2.495 55.107, -2.466 55.107, -2.466 55.089, -2.495 55.089))"],"orcid":["https://orcid.org/0000-0003-4989-7915"],"organisation":["Newcastle University","NERC EDS Environmental Information Data Centre"," Newcastle University"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/88d72918-324e-42a8-a4f2-bbbc322814ff","10.5285/88d72918-324e-42a8-a4f2-bbbc322814ff"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":[" Newcastle University"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Hydrological monitoring data from Coalburn catchment, Northern England, 1967-2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","shar1"],"shortenedDescription":"Hydrological monitoring data for 55 years from 1967 to 2022 for the Coalburn catchment (1.5 km2). The catchment is located in Northern England within Kielder forest, Northumberland, and is the longest running forest research catchment in the UK. In 1972/73 the upland..."},{"publicationDate":"2019-11-13T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture"],"authorGivenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C."],"authorFamilyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"authorFullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"catalogue":"eidc","description":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050.","documentType":"GEMINI_DOCUMENT","identifier":"ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","incomingCitationCount":0,"givenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C.","Nuala"],"familyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"fullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"keyword":["Climate and climate change","Agriculture","Environmental risk","Hydrology","water scarcity","drought"],"keywordsTheme":["Climate and climate change","Agriculture","Environmental risk","Hydrology"],"keywordsOther":["water scarcity","drought"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1and 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from five different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading).\n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.\n\nData used in this study was collected from several sources and cited in the supporting documentation.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"state":"published","title":"The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble","topic":["0/Climate and climate change/","0/Agriculture/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"admin":false,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FAgriculture%2F","active":false,"count":62},{"name":"Animal behaviour","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FAnimal+behaviour%2F","active":false,"count":75},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FBiodiversity%2F","active":false,"count":265},{"name":"Climate and climate change","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FClimate+and+climate+change%2F","active":false,"count":147},{"name":"Ecosystem 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