{"numFound":309,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FWater+quality%2F","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=recordType%7CDataset&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FWater+quality%2F","results":[{"publicationDate":"2023-07-18T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.M.","A.E."],"authorFamilyName":["Brown","Pickard"],"authorFullName":["Brown, A.M.","Pickard, A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG from a single point in the middle of the estuary (Breahead pontoon) through a tidal cycle at both the surface and bed so the impact of tidal river flow and stratification can be understood.\n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007431/1"],"identifier":"7f5b221e-d251-4bac-9252-16b4553dc345","incomingCitationCount":1,"givenName":["A.M.","A.E.","Alison"],"familyName":["Brown","Pickard"],"fullName":["Brown, A.M.","Pickard, A.E.","Brown, A."],"keyword":["Scotland","Water quality","greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsPlace":["Scotland"],"keywordsTheme":["Water quality"],"keywordsOther":["greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"licence":"Open government licence","lineage":"The field data were collected between Aug 2020 and May 2022 on the Clyde estuary from the Breahead ponton across 7 surveys where data was measured through a tidal cycle and where data was collected both near the surface and near the bed on the Clyde estuary in Scotland.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PHD.  \nData were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.\n","locations":["POLYGON((-4.4 55.8, -4.4 55.9, -4.3 55.9, -4.3 55.8, -4.4 55.8))"],"orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Glasgow"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f5b221e-d251-4bac-9252-16b4553dc345","10.5285/7f5b221e-d251-4bac-9252-16b4553dc345"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":"Physico-chemical water properties and greenhouse gas measurements across a tidal cycle, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the..."},{"publicationDate":"2015-02-03T00:00:00.000+00:00","altTitle":["IHU Areas without Coastline"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["F.","M.","H."],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorOrcid":["https://orcid.org/0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one or more outlets to the sea or tidal estuary, or they may include several contiguous river catchments having topographical similarity but separate tidal outlets. Hydrometric Areas are the coarsest units of the IHU in terms of spatial resolution. This dataset represents the same entities as the Hydrometric Areas with Coastline. The coastline of Hydrometric Areas without Coastline follows the boundaries of the CEH Integrated Hydrological Digital Terrain Model, from which IHU were derived, while the coastline used in Hydrometric Areas with Coastline was derived from Ordnance Survey data. The Hydrometric Areas without Coastline currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","identifier":"3a4e94fc-4c68-47eb-a217-adee2a6b02b3","incomingCitationCount":1,"givenName":["Matt","F.","M.","H."],"familyName":["Fry","Kral","Dixon"],"fullName":["Fry, M.","Kral, F.","Dixon, H."],"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","hydrology","watershed","catchment"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"keywordsOther":["hydrology","watershed","catchment"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood. \n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","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/0000-0002-7415-063X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1425380947383","https://catalogue.ceh.ac.uk/id/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["National River Flow Archive website"],"title":"Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one..."},{"publicationDate":"2021-10-28T00:00:00.000+00:00","authorAffiliation":["University of Oxford"],"authorGivenName":["M."],"authorFamilyName":["Buechel"],"authorFullName":["Buechel, M."],"authorOrcid":["https://orcid.org/0000-0002-5047-1631"],"authorRor":["https://ror.org/052gg0110"],"catalogue":"eidc","description":"Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover.\n\nScenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde.\n\nAfforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use.  By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated.\n\nThis dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002612/1"],"identifier":"f484ff54-9139-462e-b37a-347a69f78500","incomingCitationCount":0,"givenName":["Marcus","M."],"familyName":["Buechel"],"fullName":["Buechel, M."],"keyword":["Hydrology","scenario","JULES","Avon","Clyde","Dee","Derwent","Ouse","Ribble","Severn at Haw Bridge","Tamar","Tay","Thames","Ure","CHESS-land","Severn at Bewdley","hydrology","afforestation"],"keywordsTheme":["Hydrology"],"keywordsOther":["scenario","JULES","Avon","Clyde","Dee","Derwent","Ouse","Ribble","Severn at Haw Bridge","Tamar","Tay","Thames","Ure","CHESS-land","Severn at Bewdley","hydrology","afforestation"],"licence":"Open government licence","lineage":"The data is based on the UKCEH Land Cover 2000 raster at 25 m2. Drainage basin areas were discretised using the IHDTM (50 m2) and streams created using ArcGIS 10.6. Land cover scenarios were converted to fractions of the eight different land cover types according to JULES base configuration at a 1 km2 grid scale. Each of the eight land fractions rasters were then combined in a netCDF file using the Python packages rasterio and netCDF4 to create the land cover scenarios in a format for JULES to process. Land maps generated were compared to the CHESS-land dataset to ensure that they were generated accurately.","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/0000-0002-5047-1631"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f484ff54-9139-462e-b37a-347a69f78500","10.5285/f484ff54-9139-462e-b37a-347a69f78500"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"state":"published","title":"Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES)","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation..."},{"publicationDate":"2019-01-25T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Scotland’s Rural College (SRUC)"],"authorGivenName":["A.E.","U.M.","L.","K.V.","R.M.","J.F."],"authorFamilyName":["Pickard","Skiba","Carvalho","Heal","Rees","Harley"],"authorFullName":["Pickard, A.E.","Skiba, U.M.","Carvalho, L.","Heal, K.V.","Rees, R.M.","Harley, J.F."],"authorOrcid":["https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0001-8659-6092","https://orcid.org/0000-0002-9768-9902","https://orcid.org/0000-0002-1019-748X","https://orcid.org/0000-0003-1348-8693"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82"],"catalogue":"eidc","description":"This dataset contains concentrations of dissolved organic carbon, dissolved inorganic carbon, nutrients and concentrations of greenhouse gases CO2, CH4 and N2O from nine sites across the River Tay catchment. Water was sampled on a monthly basis between February 2009 and December 2010. The locations of sampling sites were based on existing flow gauging and water sampling sites of the Scottish Environment Protection Agency (SEPA).","documentType":"GEMINI_DOCUMENT","identifier":"a61da7da-b7ef-40b7-a324-c3711ef81207","incomingCitationCount":0,"givenName":["A.E.","U.M.","L.","K.V.","R.M.","J.F."],"familyName":["Pickard","Skiba","Carvalho","Heal","Rees","Harley"],"fullName":["Pickard, A.E.","Skiba, U.M.","Carvalho, L.","Heal, K.V.","Rees, R.M.","Harley, J.F."],"keyword":["Scotland","River Tay","Hydrology","Climate and climate change","Nitrous oxide","dissolved organic carbon","dissolved inorganic carbon","carbon dioxide","methane"],"keywordsPlace":["Scotland","River Tay"],"keywordsTheme":["Hydrology","Climate and climate change"],"keywordsOther":["Nitrous oxide","dissolved organic carbon","dissolved inorganic carbon","carbon dioxide","methane"],"licence":"Open government licence","lineage":"These data were collected as part of a PhD project funded by the CEH Integrating fund. Water and headspace samples were collected from nine sites within the Tay catchment on a monthly basis between 2009 and 2010 by James Harley. Sample analysis was undertaken at CEH Edinburgh, again by James Harley. A detailed description of sample collection methods and analytical measurements can be found in the supporting information document supplied with the data.","locations":["POLYGON((-4.675 56.256, -4.675 57.078, -3.126 57.078, -3.126 56.256, -4.675 56.256))"],"orcid":["https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0001-8659-6092","https://orcid.org/0000-0002-9768-9902","https://orcid.org/0000-0002-1019-748X","https://orcid.org/0000-0003-1348-8693"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Edinburgh","Scotland’s Rural College (SRUC)","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a61da7da-b7ef-40b7-a324-c3711ef81207","10.5285/a61da7da-b7ef-40b7-a324-c3711ef81207"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82","https://ror.org/04xw4m193"],"state":"published","title":"River Tay, Scotland, water chemistry and greenhouse gas measurements 2009-2010","topic":["0/Hydrology/","0/Climate and climate change/"],"version":1.0,"view":["public","dcmo"],"shortenedDescription":"This dataset contains concentrations of dissolved organic carbon, dissolved inorganic carbon, nutrients and concentrations of greenhouse gases CO2, CH4 and N2O from nine sites across the River Tay catchment. Water was sampled on a monthly basis between February 2009..."},{"publicationDate":"2022-10-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","M.","E.J. ","S.","R.","T.","Y."],"authorFamilyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"authorFullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 3x3 km2 grid for the year 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\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":"8750607d-1e8f-4b39-a61d-f162f4552d8e","incomingCitationCount":0,"givenName":["J.","M.","Janice","E.J. ","S.","R.","T.","Y."],"familyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"fullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"keyword":["EMEP4UK","EMEP","UK-SCAPE","Pollution","Mapping","Modelling","Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"keywordsProject":["EMEP4UK","EMEP","UK-SCAPE"],"keywordsTheme":["Pollution","Mapping","Modelling"],"keywordsOther":["Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\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/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8750607d-1e8f-4b39-a61d-f162f4552d8e","10.5285/8750607d-1e8f-4b39-a61d-f162f4552d8e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Liu, Z., Berner, J., Wang, W., Powers, J.G., Duda, M.G., Barker, D.M., & Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4. UCAR/NCAR.","National Centers For Environmental Prediction/National Weather Service/NOAA/U.S. Department Of Commerce. (2000). NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 [Data set]. UCAR/NCAR - Research Data Archive."],"supplementalName":["The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"title":" European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of..."},{"publicationDate":"2016-10-10T00:00:00.000+00:00","authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorGivenName":["P.","C.","L.M.","N."],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"catalogue":"eidc","description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"givenName":["Chris","P.","C.","L.M.","N."],"familyName":["Huntingford","Zelazowski","Mercado","Schaller"],"fullName":["Huntingford, C.","Zelazowski, P.","Mercado, L.M.","Schaller, N."],"keyword":["Modelling","Climate and climate change","IMOGEN"," Global Circulation Model","GCM","Global climate-carbon cycle model","Future climate projections","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["IMOGEN"," Global Circulation Model","GCM","Global climate-carbon cycle model","Future climate projections","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/039bjqg32","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving  the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological..."},{"publicationDate":"2011-11-18T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["A.","D.A.","C.D.","S.J.","D.","B.","I."],"authorFamilyName":["Burden","Norris","Evans","Grant","Williams","Callaghan","Pomeroy"],"authorFullName":["Burden, A.","Norris, D.A.","Evans, C.D.","Grant, S.J.","Williams, D.","Evans, D.","Callaghan, B.","Pomeroy, I."],"authorOrcid":["https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-7052-354X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Discharge data and in-stream temperature for a peatland headwater stream of the Conwy catchment, North Wales are presented from March 2008 until July 2011. The stream for which the data represents is the Nant y Brwyn situated on the Migneint blanket bog within Snowdonia National Park. The purpose of the data is to calculate annual run-off estimates for the Nant y Brwyn catchment and to provide support for estimating fluvial carbon fluxes. Note: there are gaps in this data set due to equipment/battery failures and/or freezing of the stream.\nNote dates added to dataset name on 22/06/2017","documentType":"GEMINI_DOCUMENT","identifier":"cd7db09f-edf6-4b06-b878-f1be6c649e3a","incomingCitationCount":0,"givenName":["Annette","A.","D.A.","C.D.","S.J.","D.","B.","I."],"familyName":["Burden","Norris","Evans","Grant","Williams","Callaghan","Pomeroy"],"fullName":["Burden, A.","Norris, D.A.","Evans, C.D.","Grant, S.J.","Williams, D.","Evans, D.","Callaghan, B.","Pomeroy, I."],"keyword":["Conwy Catchment","Wales","United Kingdom","Hydrology","hydrometry"],"keywordsPlace":["Conwy Catchment","Wales","United Kingdom"],"keywordsTheme":["Hydrology"],"keywordsOther":["hydrometry"],"licence":"Open government licence","lineage":"Stage (or water depth) and temperature are measured by a Starflow Ultrasonic Doppler Instrument every 5 minutes and averaged and recorded automatically on to an integrated data logger every 15 minutes. This data is downloaded monthly on to a laptop and transferred on to the CEH shared drive which is in turn backed up each evening. The data is then integrated into a master file along with a diary entry for the visit detailing any relevant information or observations. This metadata is then used to help quality check the raw data, along with plotting the data to identify outliers that may be indicative of equipment failure. Data start/finish dates and times are checked to ensure a continuous data series or to note data gaps. A rating curve was produced by carrying out flow gauging over a wide range of stream flow conditions using a SonTek FlowTracker handheld ADV. A particular stream cross-section at the Starflow location was used consistently for these measurements. Velocity was determined at stations separated by 10 cm along the cross-section. Mean station velocity was measured at 0.6 * depth (Vmean=V0.6) and discharge calculated by the FlowTracker software using the default Mid Section discharge equation (Firmware Version 3.7). Calculated discharge was related to the Starflow measured stage averaged over the duration of the FlowTracker measurement (typically 30 to 60 minutes). The fitted regression curve indicated that discharge was exponentially related to stage for depths less than 0.267m, and followed a linear relationship for greater depths. The rating curve is then applied to the stage data to give the final discharge estimates. ","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"orcid":["https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-7052-354X"],"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/cd7db09f-edf6-4b06-b878-f1be6c649e3a","10.5285/cd7db09f-edf6-4b06-b878-f1be6c649e3a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Conwy Catchment - Nant Y Brwyn Discharge dataset (2008-2011)","topic":["0/Hydrology/"],"version":1.0,"view":["public","bpu"],"shortenedDescription":"Discharge data and in-stream temperature for a peatland headwater stream of the Conwy catchment, North Wales are presented from March 2008 until July 2011. The stream for which the data represents is the Nant y Brwyn situated on the Migneint blanket bog within Snowdonia..."},{"publicationDate":"2015-11-05T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"eidc","description":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements of conductivity, dissolved oxygen, pH and temperature. Druck pressure transducers were installed at the same sites to measure continuous water level values. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments. Data were collected continuously at 15-minutes intervals for periods of variable length, depending on site.","documentType":"GEMINI_DOCUMENT","identifier":"00895096-e083-498f-9a52-b7f9e3291125","incomingCitationCount":1,"givenName":["M.","D.","P.","R.","E.","I.","J.","C.I.","N."],"familyName":["Fry","Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Fry, M.","Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"keyword":["Lowland Catchment Research Programme (LOCAR) ","Water quality","dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsProject":["Lowland Catchment Research Programme (LOCAR) "],"keywordsTheme":["Water quality"],"keywordsOther":["dissolved oxygen","conductivity","temperature","water level","pH"],"licence":"Open government licence","lineage":"Temperature, pH, conductivity and dissolved oxygen data were collected using YSI 6-Series multi-parameter water quality sondes. Each sonde had multiple sensors that read water quality data. Water level data were collected using Druck Pressure Transducers. The transducers were fully submersible high performance sensors that produced reliable and accurate water level measurements. After two weeks of deployment in the river the sondes were taken back to the laboratory for calibration checks, cleaning, changing the membrane on the oxygen electrode and recalibration. During their transportation and storage they were kept moist at all times by adding a few drops of deionised water in the containing bottle. On return to the laboratory, the outside of the sonde body was wiped to remove silt, etc. The electrode guard was removed and the body of the electrode rinsed, avoiding cleaning the surface of the electrodes. The sonde was then connected to the battery pack and computer and the calibration software launched. Then, in the corresponding calibration software menus, the specific conductance, conductivity, dissolved oxygen charge were activated and their post calibration values recorded in the post calibration form. Before the sondes could be returned to the field they needed to be recalibrated. First, the glass surface of the pH electrode was gently wiped with a cotton bud wetted in alcohol. The inside of the conductivity electrode was scrubbed with a small bottle brush then the sonde was rinsed with distilled water. The 'O' ring was removed and the plastic membrane from the oxygen electrode was replaced by a new one. The 'O' ring was then replaced. The new membrane needed at least 12 hours to condition before calibration. The sonde was therefore left in the transportation pot (containing moist sponge) until the next day before being calibrated. To calibrate the sonde, it was connected to the battery pack and the computer. From the calibration routine, in the sonde software menu, the dissolved oxygen charge was activated. Then dissolved oxygen, conductivity and pH were consecutively selected for calibration. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers on the YSI sondes and Druck pressure transducers at each site on a regular basis. Data are raw and have not been quality controlled nor corrected for instrument failure or instrument drift. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. (For further details see the supporting documentation for this dataset)","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1426780471009","https://catalogue.ceh.ac.uk/id/00895096-e083-498f-9a52-b7f9e3291125","10.5285/00895096-e083-498f-9a52-b7f9e3291125"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level in rivers (2002-2007) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","cit"],"shortenedDescription":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements..."},{"publicationDate":"2022-10-18T00:00:00.000+00:00","authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorGivenName":["L.","J.","K.N."],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"givenName":["L.","J.","K.N."],"familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","Hydrology"],"keywordsOther":["flood","hydrology"],"licence":"Open government licence","lineage":"Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.","locations":["POLYGON((101.831 8.186, 101.831 23.554, 110.752 23.554, 110.752 8.186, 101.831 8.186))"],"orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)","Fathom","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Sampson et al ","Neal et al ","Hawker et al "],"title":"Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000..."},{"publicationDate":"2018-05-24T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Fish Conservation Centre","Natural History Museum","British Trust for Ornithology"],"authorGivenName":["I.D.M.","Laurence","C.E.","F.K.","M.T.","P.S.","C.","G.M.","I.J."],"authorFamilyName":["Gunn","Carvalho","Davies","Edwards","Furse","Maitland","Raper","Siriwardena","Winfield"],"authorFullName":["Gunn, I.D.M.","Carvalho, L.","Davies, C.E.","Edwards, F.K.","Furse, M.T.","Maitland, P.S.","Raper, C.","Siriwardena, G.M.","Winfield, I.J."],"authorOrcid":["https://orcid.org/0000-0002-9768-9902","https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03w54w620"],"catalogue":"eidc","description":"The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. \n\nThe following eight major groups were identified as being associated with fresh waters in the UK: algae, amphibians, birds, fish, invertebrates, macrophytes, mammals and reptiles. Algae (except stoneworts) were not included in the UK Checklist of Freshwater Species as they are currently undergoing a major revision. Other microorganisms (bacteria, fungi and viruses) are also not included in this species list.\n\nThe checklist was compiled to allow querying of freshwater species data in the Biological Records Centre (BRC) but to also to query freshwater species data from the BRC via the UK Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/), as well as to update the freshwater species list supplied to the UK Species Inventory (UKSI) partners, such as Recorder 6, National Biodiversity Network (NBN) Atlas and iRecord.\n\n","documentType":"GEMINI_DOCUMENT","identifier":"57653719-434b-4b11-9f0d-3bd76054d8bd","incomingCitationCount":0,"givenName":["Iain","I.D.M.","Laurence","C.E.","F.K.","M.T.","P.S.","C.","G.M.","I.J."],"familyName":["Gunn","Carvalho","Davies","Edwards","Furse","Maitland","Raper","Siriwardena","Winfield"],"fullName":["Gunn, I.","Gunn, I.D.M.","Carvalho, L.","Davies, C.E.","Edwards, F.K.","Furse, M.T.","Maitland, P.S.","Raper, C.","Siriwardena, G.M.","Winfield, I.J."],"keyword":["Biodiversity","Water quality","Invasive species","fish","alga","amphibian","bird","invertebrate","reptile","macrophyte","mammal"],"keywordsTheme":["Biodiversity","Water quality","Invasive species"],"keywordsOther":["fish","alga","amphibian","bird","invertebrate","reptile","macrophyte","mammal"],"licence":"Open government licence","lineage":"The UK Checklist of Freshwater Species was put together between 2015-2017 by Iain Gunn (CEH Edinburgh) in collaboration with Laurence Carvalho (CEH Edinburgh), Chris Raper (Natural History Museum (NHM)), Gavin Siriwardena (British Trust for Ornithology (BTO)) and Ian Winfield (CEH Lancaster). The checklist was compiled, primarily, under the auspices of the NERC Highlights Hydroscape project (NEC05609). The freshwater invertebrate component of the checklist was updated by Iain Gunn predominantly based on the 2011 version of the Mike Furse (ex-CEH Dorset, now retired)/Peter Maitland (Fish Conservation Centre) invertebrate code list compiled by Cynthia Davies (ex-CEH Wallingford, now retired) and Francois Edwards (CEH Wallingford). ","orcid":["https://orcid.org/0000-0002-9768-9902","https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0001-9296-5114"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Fish Conservation Centre","Natural History Museum","British Trust for Ornithology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57653719-434b-4b11-9f0d-3bd76054d8bd","10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"state":"published","title":"UK Checklist of freshwater species","topic":["0/Biodiversity/","0/Water quality/","0/Invasive species/"],"version":1.0,"view":["public","dcmo"],"shortenedDescription":"The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. \n\nThe following eight major groups were identified as being associated with fresh waters in the UK:..."},{"publicationDate":"2015-11-12T00:00:00.000+00:00","altTitle":["CHESS-PE"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","E.","D.B.","J.","A.C."],"authorFamilyName":["Robinson","Blyth","Clark","Finch","Rudd"],"authorFullName":["Robinson, E.L.","Blyth, E.","Clark, D.B.","Finch, J.","Rudd, A.C."],"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/0000-0001-5996-6115"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"1km resolution gridded potential evapotranspiration over Great Britain for the years 1961-2012. This dataset contains time series of two potential evapotranspiration variables. The first is potential evapotranspiration (PET) (mm/day) calculated using the Penman-Monteith equation [1] for FAO-defined well-watered grass [2]. The second is potential evapotranspiration with interception correction (PETI) (mm/day), which adds a correction for interception by a well-watered grass on days in which there is rainfall. Both PET and PETI are calculated using the Climate Hydrology and Ecology research Support System meteorology dataset (CHESS-met) meteorological variables [3].\n\n[1] Monteith, J. L.: Evaporation and environment, in: 19th Symposia of the Society for Experimental Biology, University Press, Cambridge, 1965\n[2] Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration - Guidelines for computing crop water requirements, Food and Agriculture Organization of the United Nations, Rome, Italy, FAO Irrigation and Drainage Paper, 1998.\n[3] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2015). Climate hydrology and ecology research support system meteorological dataset (1961-2012) [CHESS-met] . NERC-Environmental Information Data Centre https://doi.org/10.5285/80887755-1426-4dab-a4a6-250919d5020c","documentType":"GEMINI_DOCUMENT","identifier":"d329f4d6-95ba-4134-b77a-a377e0755653","incomingCitationCount":13,"givenName":["Emma","E.L.","E.","D.B.","J.","A.C."],"familyName":["Robinson","Blyth","Clark","Finch","Rudd"],"fullName":["Robinson, E.","Robinson, E.L.","Blyth, E.","Clark, D.B.","Finch, J.","Rudd, A.C."],"keyword":["Climate and climate change","Modelling","gridded data","interception","transpiration","evapotranspiration","evaporation"],"keywordsTheme":["Climate and climate change","Modelling"],"keywordsOther":["gridded data","interception","transpiration","evapotranspiration","evaporation"],"licence":"Non-Open government licence","lineage":"The PET (mm/day) was calculated by applying the Penman-Monteith equation [1] for a well-watered grass surface [2] to the air temperature, specific humidity, downward long- and shortwave radiation and surface air pressure from the Climate hydrology and ecology research support system meteorology dataset (CHESS-met) [3]. To calculate PETI (mm/day) an interception correction is applied on days with non-zero rainfall, by interpolating between PET and potential interception assuming an exponential dry-down. On dry days the PETI is equal to the PET. The PETI is calculated using all of the same input variables as the PET, as well as the precipitation from the CHESS-met dataset, which is the CEH-Gridded Estimates of Areal Rainfall (CEH-GEAR) daily rainfall estimates [4,5] scaled to units of kg m-2 s-1. The PET and PETI data were created using software developed in python. For further detail see the Supporting Documentation.\n\n[1] Monteith, J. L.: Evaporation and environment, in: 19th Symposia of the Society for Experimental Biology, University Press, Cambridge, 1965\n[2] Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration - Guidelines for computing crop water requirements, Food and Agriculture Organization of the United Nations, Rome, Italy, FAO Irrigation and Drainage Paper, 1998.\n[3] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2015). Climate hydrology and ecology research support system meteorological dataset (1961-2012) [CHESS-met] . NERC-Environmental Information Data Centre doi:10.5285/80887755-1426-4dab-a4a6-250919d5020c\n[4] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[5] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112 doi:10.5194/essdd-8-83-2015. ","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/0000-0001-5996-6115"],"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/d329f4d6-95ba-4134-b77a-a377e0755653","10.5285/d329f4d6-95ba-4134-b77a-a377e0755653"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The CHESS Explorer application provides the ability for users to preview the data, visualise maps of the different meteorological variables, and understand how they vary across the country and through time."],"supplementalName":["CHESS Explorer"],"title":"Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"1km resolution gridded potential evapotranspiration over Great Britain for the years 1961-2012. This dataset contains time series of two potential evapotranspiration variables. The first is potential evapotranspiration (PET) (mm/day) calculated using the Penman-Monteith..."},{"publicationDate":"2022-07-26T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.","G.","S."],"authorFamilyName":["Griffin","Vesuviano","Cole"],"authorFullName":["Griffin, A.","Vesuviano, G.","Cole, S."],"authorOrcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0003-2157-8875","https://orcid.org/0000-0003-4294-8687"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is a set of six ASCII grids describing the peak flood event for six return periods (2-100 years) at each point of the river network in the state of Kerala, India. Estimates were derived in a similar way to the Flood Estimation Handbook* approach.  The data is measured in cubic metres per second, and is given on an unprojected resolution of 15 arc-seconds per grid cell.\n\nThis work was supported by the Natural Environment Research Council as part of the LAWIS programme delivering National Capability.\n\n* (Flood Estimation Handbook. Centre for Ecology & Hydrology, 1999, ISBN: 9781906698003)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"cba9f9db-4706-4f1e-aaf4-fd7769e00db0","incomingCitationCount":0,"givenName":["Adam","A.","G.","S."],"familyName":["Griffin","Vesuviano","Cole"],"fullName":["Griffin, A.","Vesuviano, G.","Cole, S."],"keyword":["Hydrology","Flood frequency","Land Air Water International Science","LAWIS","Peak daily river flow","lasso (least absolute shrinkage and selection operator)","HydroSHEDS","UN FAO Harmonised World Soil Database","lmomRFA","QMED","Kerala","India"],"keywordsTheme":["Hydrology"],"keywordsOther":["Flood frequency","Land Air Water International Science","LAWIS","Peak daily river flow","lasso (least absolute shrinkage and selection operator)","HydroSHEDS","UN FAO Harmonised World Soil Database","lmomRFA","QMED","Kerala","India"],"licence":"Open government licence","lineage":"Hydrological flow records were used from the CWC to extract an annual maxima series from 2000-2020 across the state. Catchment descriptors from HydroSHEDS, UN FAO Harmonised World Soil Database, and IMD rainfall products were used to estimate the 2-year flood at ungauged sites. Top-kriging was used to interpolate this to over 300 sites covering the state. Then a regional GEV growth curve was fitted to get other return periods of peak flow.","locations":["POLYGON((74.9 8.31, 74.9 12.8, 77.37 12.8, 77.37 8.31, 74.9 8.31))"],"orcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0003-2157-8875","https://orcid.org/0000-0003-4294-8687"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cba9f9db-4706-4f1e-aaf4-fd7769e00db0","10.5285/cba9f9db-4706-4f1e-aaf4-fd7769e00db0"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKCEH Flood Estimation Handbook"],"title":"Gridded flood frequency estimates for Kerala, India","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This is a set of six ASCII grids describing the peak flood event for six return periods (2-100 years) at each point of the river network in the state of Kerala, India. Estimates were derived in a similar way to the Flood Estimation Handbook* approach.  The data is measured..."},{"publicationDate":"2023-10-25T00:00:00.000+00:00","authorAffiliation":["University of Cambridge","University of Exeter"],"authorGivenName":["T.D. ","P.","D.A. "],"authorFamilyName":["Jackson","Bittencourt","Coomes"],"authorFullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A."],"authorOrcid":["https://orcid.org/0000-0001-8143-6161","https://orcid.org/0000-0002-1618-9077","https://orcid.org/0000-0002-8261-2582"],"catalogue":"eidc","description":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S010750/1"],"identifier":"f03806fa-3596-4119-90c5-70254f39cfc0","incomingCitationCount":0,"givenName":["T.D. ","P.","D.A. ","Toby"],"familyName":["Jackson","Bittencourt","Coomes"],"fullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A.","Jackson, T."],"keyword":["Panama","Barro Colorado Island","Hydrology","Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsPlace":["Panama","Barro Colorado Island"],"keywordsTheme":["Hydrology"],"keywordsOther":["Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"licence":"Open government licence","lineage":"Bending strain sensors were designed and installed on the trees in Barro Colorado Island, Panama. These sensors recorded the bending strain (in mV) at 4 Hz resolution and transmitted it (in binary format) to a data logger where it was saved on an SD. \nThe data was collected from the SD cards and converted from binary format to csv files. The mV measurements were converted to bending strain by multiplying by a fixed calibration coefficient. This 4 Hz bending strain data is provided here. ","locations":["POLYGON((-79.876 9.133, -79.876 9.18, -79.819 9.18, -79.819 9.133, -79.876 9.133))"],"orcid":["https://orcid.org/0000-0001-8143-6161","https://orcid.org/0000-0002-1618-9077","https://orcid.org/0000-0002-8261-2582"],"organisation":["University of Cambridge","University of Exeter","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f03806fa-3596-4119-90c5-70254f39cfc0","10.5285/f03806fa-3596-4119-90c5-70254f39cfc0"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722"],"state":"published","title":"Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose..."},{"publicationDate":"2021-08-09T00:00:00.000+00:00","authorAffiliation":["Loughborough University"],"authorGivenName":["J.H.","Q.H.","H.L."],"authorFamilyName":["Zhao","Liang","Chen"],"authorFullName":["Zhao, J.H.","Liang, Q.H.","Chen, H.L."],"authorOrcid":["https://orcid.org/0000-0002-0494-1743"],"authorRor":["https://ror.org/04vg4w365"],"catalogue":"eidc","description":"The dataset describes the data needed for and results produced by the flood risk assessment framework under different development strategies of Luanhe river basin under a changing climate. The Luanhe river basin is located in the northeast of the North China Plain (115°30' E-119°45' E, 39°10' N-42°40'N) of China, is an essential socio-economic zone on its own in North-Eastern China, and also directly contributes to and influences the socio-economic development of the Beijing-Tianjin-Hebei region. The dataset here used for investigating the flood risk includes:\n (1) uplifts of future climate scenarios to 2030\n (2) the validation results of a historical event that happened in 2012\n (3) the flood inundation prediction under different development strategies and climate scenarios to 2030\n (4) and the spatial resident density map in Luanhe river basin to 2030. \n\nWherein, the uplifts of the future climate change is generated based on the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset and will be applied to the future design rainfall to represent the future climate scenarios; a 2012 event is select to validate the flood model, and the remote sensing data is adopted as real-world observation data; considering the uplifts and future land use data as input, the validated flood model is applied to produce flood inundation prediction under different development strategies and climate scenarios to 2030; and the inundation results are used to overlay the Gridded Population of the World, Version 4 (GPWv4) and then calculate the flood risk map of the local resident. These data are mainly open data or produced by authors. With all these data, the flood risk of the Luanhe river basin in the near future (2030) can be assessed. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S012427/1"],"identifier":"82055942-386a-4a8b-b2a1-0c3eea12b168","incomingCitationCount":0,"givenName":["Jiaheng","J.H.","Q.H.","H.L."],"familyName":["Zhao","Liang","Chen"],"fullName":["Zhao, J.","Zhao, J.H.","Liang, Q.H.","Chen, H.L."],"keyword":["Climate and climate change","Hydrology","Modelling","hydrology","modelling","climate change"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["hydrology","modelling","climate change"],"licence":"Open government licence","lineage":"The base data (population, climate scenarios) are mainly based on the open data (GPWv4, NEX-GDDP), and the flood inundation results are produced by the in-house high-performance integrated hydrodynamic modelling system (HiPIMS).\n\nThe uplifts of climate scenarios are calculated by fitting a Log-Pearson type III distribution to the NEX-GDDP dataset to calculate the magnitudes of 100-year design rainfall at each pixel within the domain for the 'retrospective run'/historical period (i.e. 1950~2005) without climate change to give (mm/day), and future periods (2006~2030) with climate change (RCP4.5 and RCP8.5) to provide (mm/day). And this pixel-based climate change uplift is then averaged to the city-wide mask to create a city-based uplift (rcp45.csv, rcp85.csv). \n\nThe parameters of the flood model are calibrated to the 2012 event, wherein the remote sensing data is considered as real-world observation (RemoteSensing_validation.tif and Validation.tif). And this calibrated model is then applied to the future development strategies (reflected by land use data) and climate change scenarios (reflected by uplifts) to calculate the flood inundation map for the future scenarios in Luanhe river basin (Baseline.tif, Conservation*.tif, Expansion*.tif, Sustainability*.tif, Trend*.tif).\n\nBase on the inundation map, the flood risk map of the local resident can be calculated by overlaying it on the GPWv4 data (Popu_2000.tif, Popu_2005.tif, Popu_2010.tif, Popu_2015.tif, Popu_2020.tif, Popu_2025.tif, Popu_2030.tif).","locations":["POLYGON((104.028 32.951, 104.028 43.858, 120.99 43.858, 120.99 32.951, 104.028 32.951))"],"orcid":["https://orcid.org/0000-0002-0494-1743"],"organisation":["Loughborough University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/82055942-386a-4a8b-b2a1-0c3eea12b168","10.5285/82055942-386a-4a8b-b2a1-0c3eea12b168"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"state":"published","title":"Flood risk assessment of the Luanhe river basin under different development strategies and climate scenarios","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"The dataset describes the data needed for and results produced by the flood risk assessment framework under different development strategies of Luanhe river basin under a changing climate. The Luanhe river basin is located in the northeast of the North China Plain (115°30'..."},{"publicationDate":"2025-05-14T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Birmingham"],"authorGivenName":["A.","S.","Xilin"],"authorFamilyName":["Griffin","Cole","Xia"],"authorFullName":["Griffin, A.","Cole, S.","Xia, X."],"authorOrcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0003-4294-8687","https://orcid.org/0000-0002-5784-9211"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"eidc","description":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly from the CPM outputs, and a further 36000 (1000 events per ensemble member per time period) generated using an Empirical Beta Copula approach. This was generated for three periods: December 1980 to November 2000, December 2020 to November 2040 and December 2060-November 2080, to examine changes in widespread rainfall events over time due to climate change.","documentType":"GEMINI_DOCUMENT","funder":["Science and Technology Facilities Council"],"grant":["ST/Y004000/1"],"identifier":"0d786a81-3c33-464e-a8fc-5fea233223bd","incomingCitationCount":0,"givenName":["A.","S.","Xilin"],"familyName":["Griffin","Cole","Xia"],"fullName":["Adam Griffin","Griffin, A.","Cole, S.","Xia, X."],"keyword":["Climate and climate change","Hydrology","Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsTheme":["Climate and climate change","Hydrology"],"keywordsOther":["Widespread rainfall","Extreme Value Statistics","UKCP18"],"licence":"Open government licence","lineage":"Source data downloaded from Met Office HadUK repository.\nWidespread events extracted from CPM data using Python.\nSummaries calculated which also highlighted any errors in the process (QA)\nEmpirical Copula events simulated using CPM events in Python\nSummaries calculated for EC events highlighting any errors in the process (QA)","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/0000-0001-8645-4561","https://orcid.org/0000-0003-4294-8687","https://orcid.org/0000-0002-5784-9211"],"organisation":["UK Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d786a81-3c33-464e-a8fc-5fea233223bd","10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"UK Climate Projections 2018 (UKCP18) Convection-Permitting Model (CPM) and Empirical Copula modelled widespread rainfall events for 1980-2000, 2020-2040 and 2060-2080","topic":["0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly..."},{"publicationDate":"2017-02-13T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["M.J.","L.K.","H.D.","S.A.","E.","C.","P.M."],"authorFamilyName":["Bowes","Armstrong","Wickham","Harman","Gozzard","Roberts","Scarlett"],"authorFullName":["Bowes, M.J.","Armstrong, L.K.","Wickham, H.D.","Harman, S.A.","Gozzard, E.","Roberts, C.","Scarlett, P.M."],"authorOrcid":["https://orcid.org/0000-0002-0673-1934"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This data set comprises of weekly water quality monitoring data of seven sites along the River Thames, UK, and fifteen of its major tributaries from February 2009 to February 2013.  Parameters measured were phosphorus and nitrogen species, dissolved reactive silicon, water temperature, pH, Gran alkalinity, suspended solids, chlorophyll and major dissolved anions (fluoride, chloride, bromide, sulphate) and cations (sodium, potassium, calcium, magnesium, boron).  Dissolved and total iron, manganese, zinc, copper concentrations have also been produced from August 2010 to February 2013.  The accompanying daily river flow data are also supplied.  \n\nSamples were taken as part of the Centre for Ecology & Hydrology's Thames Initiative monitoring programme.","documentType":"GEMINI_DOCUMENT","identifier":"e4c300b1-8bc3-4df2-b23a-e72e67eef2fd","incomingCitationCount":2,"givenName":["Mike","M.J.","L.K.","H.D.","S.A.","E.","C.","P.M."],"familyName":["Bowes","Armstrong","Wickham","Harman","Gozzard","Roberts","Scarlett"],"fullName":["Bowes, M.","Bowes, M.J.","Armstrong, L.K.","Wickham, H.D.","Harman, S.A.","Gozzard, E.","Roberts, C.","Scarlett, P.M."],"keyword":["Thames","Water quality","Environmental risk"],"keywordsPlace":["Thames"],"keywordsTheme":["Water quality","Environmental risk"],"licence":"Open government licence","lineage":"All water samples were collected by fieldworkers from the Centre for Ecology & Hydrology (CEH), Wallingford.  All chemical analysis was carried out by the Nutrient Chemistry Laboratories at CEH Wallingford.  Daily mean flow data that accompany the data set were produced by the Environment Agency, and downloaded from the National River Flow Archive in January 2017. \n\nInterpretation of this data set can be found in the following papers:\n\n [1] Bowes MJ, Gozzard E, Johnson AC, Scarlett PM, Roberts C, Read DS, et al. Spatial and temporal changes in chlorophyll-a concentrations in the River Thames basin, UK: Are phosphorus concentrations beginning to limit phytoplankton biomass? Sci Total Environ (2012) 426: 45-55.\n [2] Bowes MJ, Jarvie HP, Naden PS, Old GH, Scarlett PM, Roberts C, et al. Identifying priorities for nutrient mitigation using river concentration-flow relationships: The Thames basin, UK. J of Hydrol (2014) 517: 1-12. \n[3] Bowes MJ, Loewenthal M, Read DS, Hutchins MG, Prudhomme C, Armstrong LK, et al. Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data. Sci Total Environ (2016) 569-570: 1489-1499.","locations":["POLYGON((-1.846 51.253, -1.846 52.176, -0.503 52.176, -0.503 51.253, -1.846 51.253))"],"orcid":["https://orcid.org/0000-0002-0673-1934"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e4c300b1-8bc3-4df2-b23a-e72e67eef2fd","10.5285/e4c300b1-8bc3-4df2-b23a-e72e67eef2fd"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Weekly water quality data from the River Thames and its major tributaries (2009-2013) [CEH Thames Initiative]","topic":["0/Water quality/","0/Environmental risk/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This data set comprises of weekly water quality monitoring data of seven sites along the River Thames, UK, and fifteen of its major tributaries from February 2009 to February 2013.  Parameters measured were phosphorus and nitrogen species, dissolved reactive silicon,..."},{"publicationDate":"2024-06-17T00:00:00.000+00:00","authorAffiliation":["University of Bath"],"authorGivenName":["T."],"authorFamilyName":["Homan"],"authorFullName":["Homan, T."],"authorOrcid":["https://orcid.org/0009-0004-1664-2849"],"authorRor":["https://ror.org/002h8g185"],"catalogue":"eidc","description":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge readings at Environment Agency (EA) managed flow gauging stations and at sewage treatment work (STW) effluents. These measurements were taken between 12/08/2022 and 14/09/2022 inclusive. \n\nMeasurements were recorded at multiple river sites, boreholes, and STW effluents. All sites are contained within the catchment area between the Environment Agency gauging stations located at Dorchester and East Stoke i.e., the lower part of the River Frome. In total, 24 monitoring sites exist. \n\nThe data were collected for PhD project “Supporting river water-quality management by high-resolution modelling: a case study in a lowland permeable chalk catchment” awarded to Thomas Homan and funded under GW4 FRESH CDT, supported by the Natural Environment Research Council (Grant NE/R0115241). Water quality data were collected by Thomas Homan (PhD candidate at the University of Bath). Wessex Water Ltd. provided high frequency measurements of ammonium and discharge at their STW sites, borehole water quality measurements, as well as high-frequency nitrate measurements at sites: Louds Mill and East Stoke. The Environment Agency discharge data were provided under the terms of the Open Government Licence.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R011524/1"],"identifier":"ccaf2871-1a1a-4cb4-aadf-883fb984a90f","incomingCitationCount":0,"givenName":["T."],"familyName":["Homan"],"fullName":["Homan, T."],"keyword":["grab samples","River Frome","Dorset","Water quality","Environmental survey","chalk stream","river discharge","sensor","river flow"],"keywordsInstrument":["grab samples"],"keywordsPlace":["River Frome","Dorset"],"keywordsTheme":["Water quality","Environmental survey"],"keywordsOther":["chalk stream","river discharge","sensor","river flow"],"licence":"Non-Open government licence","lineage":"Data from four deployed YSI EXO2 sondes, provided as part of Meteor Communications Ltd.’s Water Quality as a Service (WQaaS), were downloaded from the MeteorCloud secure web portal. EXO3 sonde data were downloaded in the field from the sensor’s internal storage. Wessex Water Ltd. provided 30-minute NO3-N data, measured at Louds Mill and East Stoke using Hach Nitratax eco sc UV sensors (pathlength 5 mm, accuracy ± 5 %); grab sample results from their quality assured Scientific Centre; and high-frequency sewage effluent discharge data. Environment Agency (EA) hydrology data were downloaded from the online EA hydrology data explorer.\nAll data were collated into one dataset and data wrangling and cleaning were performed in R statistical programming software. Only outliers that could be explained were removed from the dataset. Grab samples were used to spot-check the quality of the continuous data. ","locations":["POLYGON((-2.457 50.668, -2.457 50.735, -2.16 50.735, -2.16 50.668, -2.457 50.668))"],"orcid":["https://orcid.org/0009-0004-1664-2849"],"organisation":["University of Bath","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ccaf2871-1a1a-4cb4-aadf-883fb984a90f","10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"state":"published","title":"High-resolution water quality data from the River Frome catchment, Dorset, UK, August-September 2022","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge..."},{"publicationDate":"2024-02-21T00:00:00.000+00:00","authorAffiliation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","University of Southampton","University of the Highlands and Islands","Durham University"],"authorGivenName":["A.M.","C.","M.J.","I.","G.","S.","O.S.","V.","D.J.","A.","M.","P.","R.","B.","J.","J.L.","N.","L.","D.","E.","K.","F."],"authorFamilyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Humphry","Kitidis","Lapworth","Martin","Mayor","Pearson","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williamson","Woodward","Breimann","Burden","Callaghan","Dise","Gilbert","Gibb","Ives","Jürgens","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","Olszewska","Parkes","Pearce","Peel","Pugh","Rees","Worrall","Yarrow"],"authorFullName":["Tye, A.M.","Balfour, C.","Bowes, M.J.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Humphry, O.S.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Pearson, M.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williamson, J.L.","Woodward, M.","Bowes, M.","Breimann, S.","Burden, A.","Callaghan, N.","Dise, N.","Gilbert, P.","Gibb, S.","Ives, S.","Jürgens, M.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Pugh, J.","Rees, A.","Worrall, F.","Yarrow, D."],"authorOrcid":["https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0001-9241-8348","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-9955-4948","https://orcid.org/0000-0002-4361-6134","https://orcid.org/0000-0001-7776-7048","https://orcid.org/0000-0003-3949-3802","https://orcid.org/0000-0001-7838-7960","https://orcid.org/0000-0002-1202-8612","https://orcid.org/0000-0002-1295-0041","https://orcid.org/0000-0002-0295-9552","https://orcid.org/0000-0001-7177-5469","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-6884-7131","https://orcid.org/0000-0002-9035-2637","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0003-0463-6885","https://orcid.org/0000-0003-3882-338X","https://orcid.org/0000-0003-1702-2030","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0003-4308-6310","https://orcid.org/0000-0001-8281-2165","https://orcid.org/0000-0003-1615-8710","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0002-4382-2341","https://orcid.org/0000-0003-3070-3447","https://orcid.org/0000-0002-4139-1330"],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01ryk1543","https://ror.org/02s08xt61","https://ror.org/01v29qb04"],"catalogue":"eidc","description":"This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass spectrometry (ICP-MS). \n\nLOCATE was a multi-disciplinary NERC project that undertook coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into rivers and estuaries and to determine what is happening to it. It involved the National Oceanography Centre, the British Geological Survey, the UK Centre for Ecology and Hydrology and the Plymouth Marine Laboratory, with assistance from the University of Lancaster, University of Durham, University of Hull, the University of the Highlands and Islands and the Environment Agency.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018087/1"],"identifier":"ef880531-08b3-477d-a69e-3b28beb562d2","incomingCitationCount":0,"givenName":["A.M.","C.","M.J.","I.","G.","S.","O.S.","V.","D.J.","A.","M.","P.","R.","B.","J.","J.L.","N.","L.","D.","E.","K.","F."],"familyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Humphry","Kitidis","Lapworth","Martin","Mayor","Pearson","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williamson","Woodward","Breimann","Burden","Callaghan","Dise","Gilbert","Gibb","Ives","Jürgens","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","Olszewska","Parkes","Pearce","Peel","Pugh","Rees","Worrall","Yarrow"],"fullName":["Tye, A.M.","Balfour, C.","Bowes, M.J.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Humphry, O.S.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Pearson, M.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williamson, J.L.","Woodward, M.","Bowes, M.","Breimann, S.","Burden, A.","Callaghan, N.","Dise, N.","Gilbert, P.","Gibb, S.","Ives, S.","Jürgens, M.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Pugh, J.","Rees, A.","Worrall, F.","Yarrow, D."],"keyword":["Great Britain","LOCATE","Water quality","Hydrology","rivers","terrestrial","estuary","ICP-MS"],"keywordsPlace":["Great Britain"],"keywordsProject":["LOCATE"],"keywordsTheme":["Water quality","Hydrology"],"keywordsOther":["rivers","terrestrial","estuary","ICP-MS"],"licence":"Open government licence","lineage":"One third of rivers in Great Britain were sampled, accounting for approximately 36 % of the catchment areas. For each river, a single visit was made once each month to collect water for analysis. Water was sampled using a bottle or bucket and then immediately filtered and/or decanted into other appropriate bottles, prior to being sent for analysis. Temperature was recorded immediately on sampled water. Conductivity was often done in situ but occasionally later in the laboratory if a field instrument was not available. The ICP-MS analysis used to measure major and trace elements is described in the Supporting Documentation. Additional information on weather and flow and state of river was also recorded. In addition to the precise location of the sampling point, the NRFA code, catchment area, land use, standardised annual rainfall, Base Flow Index, altitude and percentage of carbonate rocks in catchment are all provided in a separate file. ","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/0000-0002-4653-7773","https://orcid.org/0000-0001-9241-8348","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-9955-4948","https://orcid.org/0000-0002-4361-6134","https://orcid.org/0000-0001-7776-7048","https://orcid.org/0000-0003-3949-3802","https://orcid.org/0000-0001-7838-7960","https://orcid.org/0000-0002-1202-8612","https://orcid.org/0000-0002-1295-0041","https://orcid.org/0000-0002-0295-9552","https://orcid.org/0000-0001-7177-5469","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-6884-7131","https://orcid.org/0000-0002-9035-2637","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0003-0463-6885","https://orcid.org/0000-0003-3882-338X","https://orcid.org/0000-0003-1702-2030","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0003-4308-6310","https://orcid.org/0000-0001-8281-2165","https://orcid.org/0000-0003-1615-8710","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0002-4382-2341","https://orcid.org/0000-0003-3070-3447","https://orcid.org/0000-0002-4139-1330"],"organisation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","University of Southampton","University of the Highlands and Islands","Durham University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ef880531-08b3-477d-a69e-3b28beb562d2","10.5285/ef880531-08b3-477d-a69e-3b28beb562d2"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["British Geological Survey"],"ror":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01ryk1543","https://ror.org/02s08xt61","https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"state":"published","title":"Monthly measurements of major and trace elements in 41 rivers in Great Britain, 2017, from the LOCATE project","topic":["0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass..."},{"publicationDate":"2023-11-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorGivenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M."],"authorFamilyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"authorFullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M."],"authorOrcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"catalogue":"eidc","description":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering the different agrochemicals used and their differing forms of environmental impact. We provide four mapped products: IYR for Nitrogen fertilisers, IYR for Phosphorus fertilisers, IYR for pesticide risk to earthworms, and IYR for pesticide risk to honeybees. The IYR is calculated using scaled rather than absolute values, with the maximum value in each yield and inputs dataset set as 1, so that all inputs and rewards are expressed proportionally to each other.\n\nThe research was funded under research programme NE/N018125/1 ASSIST and NE/W005050/1 AgZero+.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","incomingCitationCount":0,"givenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M.","Hannah"],"familyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"fullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M.","Risser, H."],"keyword":["Agriculture","Environmental risk","Mapping","Land use","Modelling","ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Land use","Modelling"],"keywordsOther":["ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"licence":"Open government licence","lineage":"We mapped estimated pesticide and fertiliser applications to 1km grid squares in England using data from the Fera Pesticide Utilisation Survey and the British Survey of Fertiliser Practice, respectively. Estimated pesticide applications were converted to risk values to honeybees and earthworms using information on toxicity from the Pesticide Property Database. Areas with winter wheat crop were identified from the UKCEH Land Cover® plus: Crops map. Data from the June Survey of Agricultural and Horticultural activity were used to create an average wheat yield map for England.\n\nWe then compared the fertiliser and pesticide application datasets separately to estimated yields of wheat in order to derive the Input to Yield Ratio (IYR) for four separate agrochemical inputs: Nitrogen fertilisers, Phosphorus fertilisers, pesticide exposure for earthworms, and pesticide exposure for honeybees.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"state":"published","title":"Input to Yield Ratio (IYR) maps for wheat farming in England, 2010-2017","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Land use/","0/Modelling/"],"version":1.0,"view":["public","eidc-staff"],"shortenedDescription":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering..."},{"publicationDate":"2019-08-14T00:00:00.000+00:00","authorAffiliation":["University of Bristol","Fathom Global"],"authorGivenName":["G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"authorFamilyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"authorFullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"authorOrcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration).  The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK.\n\nThe dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis.  MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010399/1"],"identifier":"d770b12a-3824-4e40-8da1-930cf9470858","incomingCitationCount":1,"givenName":["Gemma","G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"familyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"fullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"keyword":["Great Britain","MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)","Hydrology","Modelling","DECIPHeR","Uncertainty","flow","drought","river"],"keywordsPlace":["Great Britain"],"keywordsProject":["MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["DECIPHeR","Uncertainty","flow","drought","river"],"licence":"Open government licence","lineage":"The modelled flow data are output from the DECIPHeR hydrological model (Coxon et al, 2019; https://doi.org/10.5194/gmd-12-2285-2019).   The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and CHESS-PE (Robinson et al, 2016; https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7).\n\nDECIPHeR (V1) was run from 1961-2015 using 100,000 monte carlo model parameter sets.  Model performance was evaluated over a 54 year timeseries (1962-2015) using a multi-objective approach comprising four evaluation metrics.  The evaluation metrics were chosen to quantify the model’s ability to capture a range of hydrologic behaviour including maintaining overall water balance, capturing flow variability, reproducing low and high flows and the timing of flows.  \n\nThe top ‘multi-objective’ scoring 100 model simulations for each of the 1,366 gauges are supplied as daily river flow timeseries.  Metadata comprising the model parameters and performance for the 100 ensemble members is also supplied to allow the user to interrogate the performance of the model and assist in the interpretation of the results.\n\nSee supporting information document for more details.","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/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"organisation":["University of Bristol","Fathom Global","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d770b12a-3824-4e40-8da1-930cf9470858","10.5285/d770b12a-3824-4e40-8da1-930cf9470858"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Model code"],"supplementalName":["National River Flow Archive (NRFA)","MaRIUS: Managing the Risks, Impacts and Uncertainties of drought and water Scarcity","DECIPHeR: DECIPHeR V1"],"title":"DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"admin":false,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F&facet=topic%7C0%2FWater+quality%2F&facet=topic%7C0%2FAgriculture%2F","active":false,"count":68},{"name":"Animal 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