{"numFound":189,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=resourceStatus%7CAvailable&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=resourceStatus%7CAvailable&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F","results":[{"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":"2019-10-08T00:00:00.000+00:00","authorAffiliation":["University of Exeter","CSIRO"],"authorGivenName":["P.D.L.","G.S."],"authorFamilyName":["Ritchie","Smith"],"authorFullName":["Ritchie, P.D.L.","Smith, G.S."],"authorOrcid":["https://orcid.org/0000-0002-7649-2991"],"authorRor":["https://ror.org/03yghzc09"],"catalogue":"eidc","description":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P007880/1"],"identifier":"2efac82b-2438-4806-999d-374663210c34","incomingCitationCount":0,"givenName":["Paul","P.D.L.","G.S."],"familyName":["Ritchie","Smith"],"fullName":["Ritchie, P.","Ritchie, P.D.L.","Smith, G.S."],"keyword":["Modelling","Climate and climate change","arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"licence":"Open government licence","lineage":"JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology & Hydrology. The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘full_UK’, available from https://code.metoffice.gov.uk/trac/roses-u.\n\nECO-AG outputs have been produced using an approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.","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/0000-0002-7649-2991"],"organisation":["University of Exeter","CSIRO","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efac82b-2438-4806-999d-374663210c34","10.5285/2efac82b-2438-4806-999d-374663210c34"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary..."},{"publicationDate":"2015-05-22T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","identifier":"5e1792a0-ae95-4e77-bccd-2fb456112cc1","incomingCitationCount":0,"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"keyword":["Hydrology","Integrated Hydrological Units","IHU","SPI","indicator","rainfall extremes","drought"],"keywordsTheme":["Hydrology"],"keywordsOther":["Integrated Hydrological Units","IHU","SPI","indicator","rainfall extremes","drought"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [7]). [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267 [3] Tanguy et al. (2015), in preparation. [4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf [5] 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 [6] 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, www.earth-syst-sci-data-discuss.net/8/83/2015/ doi:10.5194/essdd-8-83-2015. [7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1431704829276","https://catalogue.ceh.ac.uk/id/5e1792a0-ae95-4e77-bccd-2fb456112cc1","10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["CEH droughts application"],"title":"Standardised Precipitation Index time series for Integrated Hydrological Units Hydrometric Areas (1961-2012)","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated..."},{"publicationDate":"2023-08-01T00:00:00.000+00:00","authorAffiliation":["Inholland University of Applied Sciences","AgResearch Ltd Lincoln Research Centre","University of Antananarivo","University of Zurich"],"authorGivenName":["B.W.","C.P.","M.","J.","H.J."],"authorFamilyName":["Zwartendijk","Ghimire","Ravelona","Lahitiana","van Meerveld"],"authorFullName":["Zwartendijk, B.W.","Ghimire, C.P.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"authorOrcid":["https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-7547-3270"],"authorRor":["https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812"],"catalogue":"eidc","description":"The data comprise hydrometric data and stable isotope data for streamflow and rainfall from the Marolaona catchment in the Ankeniheny-Zahamena Corridor on the Eastern escarpment of Madagascar between February 2015 and March 2016. Rainfall and streamflow were measured at 2 locations, perched water tables at 10 locations, and soil moisture at 3 locations (1 – 3 depths). Samples were taken from streamflow and rainfall for stable isotope (delta-2H and delta-18O) analyses.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K010417/1"],"identifier":"f93d87ed-7bc4-4d03-9690-3856e6cbbd11","incomingCitationCount":0,"givenName":["Ilja","B.W.","C.P.","M.","J.","H.J."],"familyName":["van Meerveld","Zwartendijk","Ghimire","Ravelona","Lahitiana"],"fullName":["van Meerveld, I.","Zwartendijk, B.W.","Ghimire, C.P.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"keyword":["Madagascar","Marolaona","Hydrology","δ2H","δ18O","delta-18O","delta-2H","streamflow","perched water tables","soil moisture content","rainfall","isotope","soil moisture"],"keywordsPlace":["Madagascar","Marolaona"],"keywordsTheme":["Hydrology"],"keywordsOther":["δ2H","δ18O","delta-18O","delta-2H","streamflow","perched water tables","soil moisture content","rainfall","isotope","soil moisture"],"licence":"Open government licence","lineage":"Stream and groundwater levels were measured with pressure transducers. Precipitation was measured with tipping bucket rain gauges and checked with manual measurements. Soil moisture was measured with capacitance/frequency-domain reflectometry sensors. The water samples were analysed on a Cavity Ring-Down Spectroscope. \nThe methods are described in more detail in the metadata file (Metadata_Methods_Marolaona.pdf).\n","locations":["POLYGON((48.418 -18.973, 48.418 -18.966, 48.425 -18.966, 48.425 -18.973, 48.418 -18.973))"],"orcid":["https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-7547-3270"],"organisation":["University of Zurich","Inholland University of Applied Sciences","AgResearch Ltd Lincoln Research Centre","University of Antananarivo","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f93d87ed-7bc4-4d03-9690-3856e6cbbd11","10.5285/f93d87ed-7bc4-4d03-9690-3856e6cbbd11"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/02crff812","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/04xw4m193"],"state":"published","title":"Hydrometric data and stable isotope data for streamflow and rainfall in the Marolaona catchment, Madagascar, 2015-2016","topic":["0/Hydrology/"],"version":1.0,"view":["public","shar1"],"shortenedDescription":"The data comprise hydrometric data and stable isotope data for streamflow and rainfall from the Marolaona catchment in the Ankeniheny-Zahamena Corridor on the Eastern escarpment of Madagascar between February 2015 and March 2016. Rainfall and streamflow were measured..."},{"publicationDate":"2015-03-03T00:00:00.000+00:00","authorAffiliation":["University of Oxford","McGill University","Hadley Centre for Climate Prediction and Research"],"authorGivenName":["T.R.","S.J.","B.","S.","N."],"authorFamilyName":["Marthews","Dadson","Lehner","Abele","Gedney"],"authorFullName":["Marthews, T.R.","Dadson, S.J.","Lehner, B.","Abele, S.","Gedney, N."],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01pxwe438"],"catalogue":"eidc","description":"The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. \n\nPLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors ( https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da ). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points.","documentType":"GEMINI_DOCUMENT","identifier":"6b0c4358-2bf3-4924-aa8f-793d468b92be","incomingCitationCount":12,"givenName":["T.R.","S.J.","B.","S.","N.","Toby"],"familyName":["Marthews","Dadson","Lehner","Abele","Gedney"],"fullName":["Marthews, T.R.","Dadson, S.J.","Lehner, B.","Abele, S.","Gedney, N.","Marthews, T."],"keyword":["Hydrology","Topography","inundation","spatial data","hydrological regimes","hydrology","soil moisture"],"keywordsTheme":["Hydrology"],"keywordsOther":["Topography","inundation","spatial data","hydrological regimes","hydrology","soil moisture"],"licence":"Open government licence","lineage":"The GA2 algorithm has been used to calculate these topographic index values, using base data layers provided by the HydroSHEDS suite of GIS layers. All files were generated using FORTRAN 90 at 15 arc-sec resolution (cells circa 450 m x 450 m at the Equator). PLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors (doi:10/t7d). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["University of Oxford","McGill University","Hadley Centre for Climate Prediction and Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["1425985863014","https://catalogue.ceh.ac.uk/id/6b0c4358-2bf3-4924-aa8f-793d468b92be","10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/01pxwe438","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","title":"High-resolution global topographic index values","topic":["0/Hydrology/"],"version":2.0,"view":["public","phtr"],"shortenedDescription":"The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are..."},{"publicationDate":"2015-09-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Woodland Trust","SASA","St Andrews University","Met Office","FERA"],"authorGivenName":["B.V.","K.","M.","A.","C.","D.","L.","J.","G.","P."],"authorFamilyName":["Purse","Searle","Elliot","Schlenzig","Harris","Vieno","Chapman","Burgin","Turner","Thorp","Jennings"],"authorFullName":["Purse, B.V.","Searle, K.","Elliot, M.","Schlenzig, A.","Harris, C.","Vieno, M.","Chapman, D.","Burgin, L.","Turner, J.","Thorp, G.","Jennings, P."],"authorOrcid":["https://orcid.org/0000-0001-5140-2710","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-1836-4112"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05e9eyh13","https://ror.org/02wn5qz54","https://ror.org/01ch2yn61","https://ror.org/05299tt38"],"catalogue":"eidc","description":"These spatial layers map the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK. The model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes between 2007 and 2011, and focuses on how many times infection could have been completed within running 48 hour periods through the year. Average suitability of conditions are mapped for the whole period and for individual years from 2007 to 2011. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). This dataset forms part of a series.","documentType":"GEMINI_DOCUMENT","identifier":"a13d5821-824f-41ba-a930-26a5f0f4d2a6","incomingCitationCount":0,"givenName":["B. V.","B.V.","K.","M.","A.","C.","D.","L.","J.","G.","P."],"familyName":["Purse","Searle","Elliot","Schlenzig","Harris","Vieno","Chapman","Burgin","Turner","Thorp","Jennings"],"fullName":["Purse, B.V.","Searle, K.","Elliot, M.","Schlenzig, A.","Harris, C.","Vieno, M.","Chapman, D.","Burgin, L.","Turner, J.","Thorp, G.","Jennings, P."],"keyword":["Modelling","Sudden oak death","plant pathogen","Ramorum disease","Ramorum dieback","pathogen","oak","Beech","Rhododendron","Quercus","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsTheme":["Modelling"],"keywordsOther":["Sudden oak death","plant pathogen","Ramorum disease","Ramorum dieback","pathogen","oak","Beech","Rhododendron","Quercus","Phytophthora ramorum","Phytophthora kernoviae"],"licence":"Open government licence","lineage":"Laboratory data of environmental responses of Phytophthora ramorum and Phytophthora kernoviae was provided by FERA and hourly temperature and relative humidity gridded data was provided by the UK Met Office. Additional maps of quarterly suitability and for the period from 2012 to 2014 are available on request to point of contact. Daniel Chapman (NERC Centre for Ecology & Hydrology) and Massimo Vieno (NERC Centre for Ecology & Hydrology) provided invaluable help with setting up the climate algorithm.","locations":["POLYGON((-12.622 47.654, -12.622 60.985, 6.982 60.985, 6.982 47.654, -12.622 47.654))"],"orcid":["https://orcid.org/0000-0001-5140-2710","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-1836-4112"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Woodland Trust","SASA","St Andrews University","Met Office","FERA","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a13d5821-824f-41ba-a930-26a5f0f4d2a6","10.5285/a13d5821-824f-41ba-a930-26a5f0f4d2a6"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05e9eyh13","https://ror.org/02wn5qz54","https://ror.org/01ch2yn61","https://ror.org/05299tt38","https://ror.org/04xw4m193"],"state":"published","title":"Climate suitability for Phytophthora ramorum and Phytophthora kernoviae infection in the UK","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"These spatial layers map the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK. The model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity..."},{"publicationDate":"2021-06-11T00:00:00.000+00:00","authorAffiliation":["University of Exeter"],"authorGivenName":["E.","A.","D.","P."],"authorFamilyName":["Baker","Harper","Williamson","Challenor"],"authorFullName":["Baker, E.","Harper, A.","Williamson, D.","Challenor, P."],"authorOrcid":["https://orcid.org/0000-0003-0945-4749","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0001-8917-3300","https://orcid.org/0000-0001-8661-2718"],"authorRor":["https://ror.org/03yghzc09"],"catalogue":"eidc","description":"This data is an ensemble of  Joint UK Land Environment Simulator (JULES) simulations, ran for a select set of 1kmx1km grid cells in Great Britain, each with a different set of parameter values, from 2001 to 2010.\n\nThe data includes simulated Gross Primary Productivity (GPP) for 5 different plant functional types on an 8-day average. (Broadleaf trees, Needleleaf trees, C3 grasses, Shrubs, and Cropland) as well as the weighted combined sum.\n\nThese simulations were obtained to facilitate statistical emulation, which is why a wide range of grid cells and parameter values were used (both also provided in the data set).\n\nThe work was funded by the Natural Environment Research Council through research grant NE/T004177/1 JULES EMulator of ecosystem services (JEM)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/T004177/1"],"identifier":"789bea37-0450-4822-9857-3dc848feb937","incomingCitationCount":1,"givenName":["E.","A.","D.","P."],"familyName":["Baker","Harper","Williamson","Challenor"],"fullName":["Baker, E.","Harper, A.","Williamson, D.","Challenor, P."],"keyword":["JULES (the Joint UK Land Environment Simulator)","Modelling","Ecosystem services","Gross Primary Productivity","GPP","JULES","land use change","land use"],"keywordsProject":["JULES (the Joint UK Land Environment Simulator)"],"keywordsTheme":["Modelling","Ecosystem services"],"keywordsOther":["Gross Primary Productivity","GPP","JULES","land use change","land use"],"licence":"Open government licence","lineage":"Data was simulated on Jasmin, the UK's data analysis facility for environmental science, processed into 8-day averages, and combined with the adjusted input parameters and grid cell locations. It was then deposited into the EIDC as comma seperated files.","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/0000-0003-0945-4749","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0001-8917-3300","https://orcid.org/0000-0001-8661-2718"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/789bea37-0450-4822-9857-3dc848feb937","10.5285/789bea37-0450-4822-9857-3dc848feb937"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","supplementalName":["JULES  Joint UK Land Environment Simulator"],"title":"Gross Primary Productivity simulations of Great Britain for emulation, 2001-2010 from JULES land surface model","topic":["0/Modelling/","0/Ecosystem services/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"This data is an ensemble of  Joint UK Land Environment Simulator (JULES) simulations, ran for a select set of 1kmx1km grid cells in Great Britain, each with a different set of parameter values, from 2001 to 2010.\n\nThe data includes simulated Gross Primary Productivity..."},{"publicationDate":"2018-03-09T00:00:00.000+00:00","altTitle":["MaRIUS-G2G-WAH2-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2005). The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). \n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"f6cac471-7d92-4e6d-be8a-9f7887143058","incomingCitationCount":2,"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"keyword":["Great Britain","Catchment","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain","Catchment"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"licence":"Non-Open government licence","lineage":"The flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were the weather@home2 bias-corrected precipitation and potential evaportation (Guillod et al. 2018; http://dx.doi.org/10.5285/0cea8d7aca57427fae92241348ae9b03). See Supporting Information for more details. \n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6cac471-7d92-4e6d-be8a-9f7887143058","10.5285/f6cac471-7d92-4e6d-be8a-9f7887143058"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Guillod, B.P.; Jones, R.G.; Kay, A.L.; Massey, N.R.; Sparrow, S.; Wallom, D.C.H.; Wilson, S.S. (2017): Managing the Risks, Impacts and Uncertainties of drought and water Scarcity (MaRIUS) project: Large set of potential past and future climate time series for the UK from the weather@home2 model . Centre for Environmental Data Analysis, 2018.","Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. "],"supplementalName":["Marius drought project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain: weather@home2 (climate model) driving data [MaRIUS-G2G-WAH2-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006),..."},{"publicationDate":"2016-07-07T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"authorGivenName":["K.","A.","C.","B.V."],"authorFamilyName":["Searle","Butler","Harris","Purse"],"authorFullName":["Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"authorOrcid":["https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"catalogue":"eidc","description":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland. The distribution models were developed from quadrat vegetation data kindly provided by Scottish Natural Heritage combined with data on climate and soil conditions as well as deer abundance and were fitted using a Bayesian Generalised Mixed Modelling approach adapted for input data on the DOMIN scale. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). ","documentType":"GEMINI_DOCUMENT","identifier":"5749df3d-000c-445e-a37f-dc0763b4d5ec","incomingCitationCount":0,"givenName":["Bethan","K.","A.","C.","B.V."],"familyName":["Purse","Searle","Butler","Harris"],"fullName":["Purse, B.","Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"keyword":["Modelling","Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsTheme":["Modelling"],"keywordsOther":["Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"licence":"Open government licence","lineage":"A logit-normal model was developed, structured as a generalized linear mixed model (GLMM) for logit-transformed proportions. An approach was adopted that would deal with overdispersion (the large number of absence records for the species), the unequal numbers of quadrats taken per NVC survey site, and the uncertainty around the true percent cover arising from the unequal size of the DOMIN class intervals - such that the true percent cover is an unobserved latent variable. The supporting documentation contains full details of the GLMM used. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"orcid":["https://orcid.org/0000-0001-5140-2710","https://orcid.org/0000-0003-4624-9023"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5749df3d-000c-445e-a37f-dc0763b4d5ec","10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"state":"published","title":"Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora ","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland...."},{"publicationDate":"2015-02-05T00:00:00.000+00:00","altTitle":["IHU Catchments"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["F.","M.","H."],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorOrcid":["https://orcid.org/0000-0003-1142-4039","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. This dataset was derived from the Integrated Hydrological Terrain Model. A Catchment represents the full area upstream from a Section outlet, which is a cell upstream of a confluence of two watercourses with known names. While Sections do not overlap, Catchments can overlap because one Catchment contains Catchments for all upstream Sections. This layer 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":"10d419c8-8f65-4b85-a78a-3d6e0485fa1f","incomingCitationCount":0,"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","catchment","watershed","hydrology"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"keywordsOther":["catchment","watershed","hydrology"],"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[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/0000-0003-1142-4039","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":["1425380855141","https://catalogue.ceh.ac.uk/id/10d419c8-8f65-4b85-a78a-3d6e0485fa1f","10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f"],"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: Catchments","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. This dataset was derived from the Integrated Hydrological Terrain..."},{"publicationDate":"2022-02-03T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","G.","P.","E."],"authorFamilyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"authorFullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"authorOrcid":["https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-6233-8942"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021. The turbidity and concentration data were derived from a combination of instream sensors and lab-analysed water samples. Discharge data were derived using a stage-discharge rating curve constructed from manual measurements of flow velocity and water level sensor measurements. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. There are some periods of data gaps within the timeseries as a result of sensor errors which have been excluded. These data may be used to calculate suspended sediment and phosphorus fluxes loads leaving the catchment.\n\nThis work was supported by the Natural Environment Research Council (Grant NE/L002531/1).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002531/1"],"identifier":"9f80e349-0594-4ae1-bff3-b055638569f8","incomingCitationCount":0,"givenName":["J.","G.","P.","E."],"familyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"fullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"keyword":["Oxfordshire","Cotswolds","Hydrology","suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"keywordsPlace":["Oxfordshire","Cotswolds"],"keywordsTheme":["Hydrology"],"keywordsOther":["suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"licence":"Open government licence","lineage":"Data were generated using water level and turbidity sensors. Spot measurements of stream discharge were made using the velocity-area method and the dilution method to construct rating curves. Water samples were also taken across a range of flows to analyse suspended sediment and total phosphorus concentrations (mg L-1) in order to calibrate the turbidity readings. Data underwent QC to flag any spurious readings in the timeseries which were then removed and linearly interpolated where appropriate.","locations":["POLYGON((-1.664 51.852, -1.664 51.886, -1.603 51.886, -1.603 51.852, -1.664 51.852))"],"orcid":["https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-6233-8942"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f80e349-0594-4ae1-bff3-b055638569f8","10.5285/9f80e349-0594-4ae1-bff3-b055638569f8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"High-resolution time series of turbidity, suspended sediment concentration, total phosphorus concentration, and discharge in the Littlestock Brook, England, 2017-2021","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021...."},{"publicationDate":"2021-09-01T00:00:00.000+00:00","authorAffiliation":["Newcastle University","Makerere University"],"authorGivenName":["F.","C.","S.","D."],"authorFamilyName":["McClean","Walsh","Lwasa","Ddumba"],"authorFullName":["McClean, F.","Walsh, C.","Lwasa, S.","Ddumba, D."],"authorOrcid":["https://orcid.org/0000-0002-6159-2826","https://orcid.org/0000-0002-4047-1216"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/03dmz0111"],"catalogue":"eidc","description":"Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as “YYYY-MM-DD hh:mm:ss”. The geographic coordinates of the sensors are provided in GeoJSON format. The column names in the CSV file correspond to the “id” field in the GeoJSON file. ","documentType":"GEMINI_DOCUMENT","identifier":"3df031ad-34ec-4abc-8528-f8f20bad12b8","incomingCitationCount":0,"givenName":["F.","C.","S.","D.","Fergus"],"familyName":["McClean","Walsh","Lwasa","Ddumba"],"fullName":["McClean, F.","Walsh, C.","Lwasa, S.","Ddumba, D."],"keyword":["Kampala","Hydrology","Rainfall","hydrology"],"keywordsPlace":["Kampala"],"keywordsTheme":["Hydrology"],"keywordsOther":["Rainfall","hydrology"],"licence":"Open government licence","lineage":"Davis Vantage VUE Sensor Suites were installed by researchers from Makerere University and Newcastle University in April 2019. Calibration is not required for the sensors employed in this research. No quality control procedures have been applied.","locations":["POLYGON((32.511 0.207, 32.511 0.409, 32.684 0.409, 32.684 0.207, 32.511 0.207))"],"orcid":["https://orcid.org/0000-0002-6159-2826","https://orcid.org/0000-0002-4047-1216"],"organisation":["Newcastle University","Makerere University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3df031ad-34ec-4abc-8528-f8f20bad12b8","10.5285/3df031ad-34ec-4abc-8528-f8f20bad12b8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/03dmz0111","https://ror.org/04xw4m193"],"state":"published","title":"Hourly precipitation data for Kampala, Uganda, 2019-2020","topic":["0/Hydrology/"],"version":1.0,"view":["public","jualob"],"shortenedDescription":"Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as..."},{"publicationDate":"2012-04-02T00:00:00.000+00:00","catalogue":"eidc","description":"This dataset includes data collected from the Bowl site located with the Pontbren study catchment in mid Wales, UK. The Bowl is an area of improved grassland and was instrumented between 2004 to 2010 and monitored as part of the Pontbren Catchment Study Land Use and Management Multi Scale Experimental Programme. Variables measured and included in this dataset are the drain flow from a field drain, overland flow runoff and soil water tension within the improved grassland hillslope. Other variables measured at the Bowl but not included in this dataset are: climatic data from an automatic weather station, precipitation, groundwater height, and soil moisture data (using a neutron probe); these other datasets are also available.   Within this Pontbren Bowl study site folder are a series of sub-folders with different datasets all associated with the Bowl study site. The Bowl runoff folder includes all runoff data from the Bowl study site. Runoff from the Bowl in the form of overland and drain flow was monitored using a combination of tipping bucket and weir box monitoring systems. Flow is measured in litres/second (ls-1) and runoff data from the bowl was collected for the period end of 2004 to 2010. Differences in sampling time occurred throughout the monitoring period due to logger limitations. Changes in sampling time can be found by examining specific data files. Changes in the size of the bucket of the tipping bucket system also occurred during the monitoring period. It is considered that the weir boxes provide a more accurate prediction of the highest flows, however there are times when they are not operation. The Bowl tensiometers folder contains soil water tension (cm H2O) data collected from two transects with arrays of tensiometers measuring soil water tension at 10 cm, 30 cm and 50 cm depth. Soil water tension data for the Bowl study site exist for the period 2005-2009. Data are provided in the form of .txt files and generally split into 6 month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Note that for the Bowl tensiometer data in the early years of monitoring data from both transects are provided in one file. From March 2008 onwards there is a reduction in the number of tensiometers installed and the data files are split. Files with BotQC in the title contain data from the lower array of tensiometers and files with TopQC in the title contain data from the array of tensiometers further up the hillslope of the Bowl study site.  Details of the dataset and the quality assurance coding system are provided in the supporting documentation. ","documentType":"GEMINI_DOCUMENT","identifier":"11caad35-4a33-4ad8-852b-6c120fd250e2","incomingCitationCount":0,"givenName":["Miles"],"familyName":["Marshall"],"fullName":["Marshall, M."],"keyword":["United Kingdom","Wales","Pontbren","Soil","Environmental risk","Hydrology","flooding","hydrology","water (geographic)","flood risk management"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Soil","Environmental risk","Hydrology"],"keywordsOther":["flooding","hydrology","water (geographic)","flood risk management"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling.  Full details provided in the 'Pontbren Catchment Study Data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1331814014953","https://catalogue.ceh.ac.uk/id/11caad35-4a33-4ad8-852b-6c120fd250e2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["The Flood Risk Management Research Consortium website.","Marshall, M.R., Francis, O.J., Frogbrook, Z.L., Jackson, B.M., McIntyre, N., Reynolds, B., Solloway, I., Wheater, H.S. and Chell, J.  2009. The impact of upland land management on flooding: results from an improved pasture hillslope.  Hydrological Processes, 23, 464-475.","Wheater, H., Reynolds, B., McIntyre, N., Marshall, M., Jackson, B., Frogbrook, Z., Solloway, I., Francis, O. and Chell, J.  2008.  Impacts of upland management on flood risk: multi-scale modelling on methodology and results from the Pontbren Experiment.  FRMRC Research Report UR 16.  December 2008.  "],"supplementalName":["FRMRC website"],"title":"Pontbren Bowl study site runoff and soil water tension data","topic":["0/Soil/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","bpu"],"shortenedDescription":"This dataset includes data collected from the Bowl site located with the Pontbren study catchment in mid Wales, UK. The Bowl is an area of improved grassland and was instrumented between 2004 to 2010 and monitored as part of the Pontbren Catchment Study Land Use and..."},{"publicationDate":"2022-11-08T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.N.","P.","V.A."],"authorFamilyName":["Davies","Rameshwaran","Bell"],"authorFullName":["Davies, H.N.","Rameshwaran, P.","Bell, V.A."],"authorOrcid":["https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: \n•\tDrainage directions (D8 flow method), ESRI coding\n•\tDrainage directions (D8 flow method), unifhy (python hydrology framework) coding\n•\tCatchment areas (km2)\n•\tWidths of bankfull rivers (m)\n•\tDepths of bankfull rivers (m)\n•\tNRFA gauging station locations (easting (m), northing (m))\n\nTwo versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid.","documentType":"GEMINI_DOCUMENT","identifier":"8df65124-68e9-4c68-8659-1c6b82c735e9","incomingCitationCount":0,"givenName":["H.N.","P.","V.A."],"familyName":["Davies","Rameshwaran","Bell"],"fullName":["Davies, H.N.","Rameshwaran, P.","Bell, V.A."],"keyword":["Hydrology","UK","Drainage directions","drainage","hydrology"],"keywordsTheme":["Hydrology"],"keywordsOther":["UK","Drainage directions","drainage","hydrology"],"licence":"Open government licence","lineage":"The 1 km x 1 km outflow drainage direction and catchment areas datasets are generated from a 50 m x 50 m resolution digital terrain: IHDTM (Integrated Hydrological Digital Terrain Model). Bankfull river widths on a 1 km x 1 km grid are generated using the OS MasterMap Water Network Layer width data in a regression relationship with catchment area and rainfall characteristics. The 1km × 1km gridded bankfull river depth dataset is generated using observed measurements from a range of sources in a regression relationship with catchment area and rainfall characteristics. \n\nFinally, the NRFA (National River Flow Archive) gauging station location dataset on a 1 km x 1 km grid is generated by identifying the location (easting, northing) on the catchment areas dataset that best represents the true gauging station location. An indication of the quality of these data is provided by the percentage error between the 1km-derived and the IHDTM catchment areas. See supporting information 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/0000-0001-7783-4853","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8df65124-68e9-4c68-8659-1c6b82c735e9","10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Gridded (1km) physical river characteristics for the UK v2","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: \n•\tDrainage directions (D8 flow method), ESRI coding\n•\tDrainage directions (D8 flow method),..."},{"publicationDate":"2024-06-19T00:00:00.000+00:00","authorAffiliation":["University of Hull"],"authorGivenName":["P.","B.J.","S.J."],"authorFamilyName":["Delorme","Murphy","McLelland"],"authorFullName":["Delorme, P.","Murphy, B.J.","McLelland, S.J."],"authorOrcid":["https://orcid.org/0000-0002-5865-714X","https://orcid.org/0000-0002-1223-0917"],"authorRor":["https://ror.org/04nkhwh30"],"catalogue":"eidc","description":"This dataset contains data that are meant to be used in conjunction with the “Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions” dataset. There are three data files. The Sed_fluxes.csv file contains mass balance information i.e., the sediment flux injected in the channel and that collected at the outlet. The other two files detail the evolution of the channel morphology before and after each of the experimental flood events.  ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S015795/2"],"identifier":"9457cd25-b8d6-4319-8e75-e9fdc7a171ab","incomingCitationCount":0,"givenName":["P.","B.J.","S.J."],"familyName":["Delorme","Murphy","McLelland"],"fullName":["Delorme, P.","Murphy, B.J.","McLelland, S.J."],"keyword":["Evoflood","Hydrology","experimental rivers","elevation data","flood sequencing","morphological evolution"],"keywordsProject":["Evoflood"],"keywordsTheme":["Hydrology"],"keywordsOther":["experimental rivers","elevation data","flood sequencing","morphological evolution"],"licence":"Open government licence","lineage":"For the sediment mass balance data, the input sediment flux depended on the sediment feeder frequency. The sediment feeder was calibrated prior to the experiment. The sediment at the outlet was collected and weighed to estimate the mass balance. An estimation of the porosity was used to account for water content. \n\nThe channel morphology evolution data originate from the analysis of the Digital Elevation Model experiment. The morphology of the channels before and after each flood events were compared using python scripts.\n","orcid":["https://orcid.org/0000-0002-5865-714X","https://orcid.org/0000-0002-1223-0917"],"organisation":["University of Hull","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9457cd25-b8d6-4319-8e75-e9fdc7a171ab","10.5285/9457cd25-b8d6-4319-8e75-e9fdc7a171ab"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/04xw4m193"],"state":"published","title":"Mass balance and channel morphology data from an experimental river experiencing flood events","topic":["0/Hydrology/"],"version":1.0,"view":["public","shar1"],"shortenedDescription":"This dataset contains data that are meant to be used in conjunction with the “Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions” dataset. There are three data files. The Sed_fluxes.csv file contains mass balance..."},{"publicationDate":"2016-05-25T00:00:00.000+00:00","authorAffiliation":["Queen Mary University of London","Lancaster University"],"authorGivenName":["C. M.","A."],"authorFamilyName":["Heppell","Binley"],"authorFullName":["Heppell, C.M.","Binley, A."],"authorRor":["https://ror.org/026zzn846","https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"This dataset contains measurements of hydraulic head and saturated hydraulic conductivity together with porewater chemistry from banks and riverbed sediments in six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Falling and rising (slug) test data were used for computation of saturated hydraulic conductivity. Hydraulic head measurements were obtained from pressure transducers installed in piezometers between Summer 2013 and Summer 2015. Samples for porewater chemical analysis were collected from porewater sampling tubes on the piezometer network between Summer 2014 and Summer 2015.","documentType":"GEMINI_DOCUMENT","identifier":"d82a04ce-f04d-40b4-9750-1a2bf7dc29a3","incomingCitationCount":4,"givenName":["Kate","C. M.","A."],"familyName":["Heppell","Binley"],"fullName":["Heppell, K.","Heppell, C.M.","Binley, A."],"keyword":["Hampshire Avon","England","United Kingdom","Hydrology","Solutes","river"],"keywordsPlace":["Hampshire Avon","England","United Kingdom"],"keywordsTheme":["Hydrology"],"keywordsOther":["Solutes","river"],"licence":"Open government licence","lineage":"All data were generated by the authors with help from field and laboratory technicians. All hydraulic head data generated by the pressure transducers were checked fortnightly (when possible) against manual measurements. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We ensured measured values fell within the calibration range and re-analysed samples where necessary. ","locations":["POLYGON((-2.11 51.027, -2.11 51.319, -1.861 51.319, -1.861 51.027, -2.11 51.027))"],"organisation":["Queen Mary University of London","Lancaster University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d82a04ce-f04d-40b4-9750-1a2bf7dc29a3","10.5285/d82a04ce-f04d-40b4-9750-1a2bf7dc29a3"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Hampshire Avon: Vertical head gradient, saturated hydraulic conductivity and pore water chemistry data from six river reaches","topic":["0/Hydrology/"],"version":1.0,"view":["public","kath"],"shortenedDescription":"This dataset contains measurements of hydraulic head and saturated hydraulic conductivity together with porewater chemistry from banks and riverbed sediments in six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Falling and rising (slug)..."},{"publicationDate":"2013-06-30T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["C."],"authorFamilyName":["Neal"],"authorFullName":["Neal, C."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Water quality data produced from rainfall, throughfall and stemflow samples collected within a beech stand at Black Wood in Hampshire, and an ash stand at Old Pond Close in Northamptonshire. Two studies were carried out in the early 1990s to examine water quality in relation to hydrological and pollution changes. Chemical analysis involved a combination of electrometric (pH), inductively-coupled plasma emission spectroscopy (most major, minor and trace elements), atomic absorption spectroscopy (potassium), ion chromatography (major anions and fluorine) and colourimetry (ammonium and silicon).","documentType":"GEMINI_DOCUMENT","identifier":"b7cfc0ce-304a-4d69-bb1a-6fd8eb92cdae","incomingCitationCount":0,"givenName":["C."],"familyName":["Neal"],"fullName":["Neal, C."],"keyword":["Hampshire","Northamptonshire","Water quality","Hydrology","Fraxinus excelsior","Fagus sylvatica"],"keywordsPlace":["Hampshire","Northamptonshire"],"keywordsTheme":["Water quality","Hydrology"],"keywordsOther":["Fraxinus excelsior","Fagus sylvatica"],"licence":"Open government licence","lineage":"Individual samples were collected in clean 2 litre polypropylene bottles. The bottles were cleaned by soaking in 5% v/v hydrochloric acid overnight and then rinsed several times in distilled water. The bottles were air-dried prior to use. On return to the laboratory, any replicate samples of precipitation were combined, as were replicate samples of throughfall. The combined samples were weighed to calculate the total volume of precipitation and throughfall catch. The combined precipitation, combined throughfall, net precipitation and stream water samples were then altered using 0.45-micrometer membranes on the day of sampling, prior to analysis. Chemical analysis involved a combination of electrometric (pH), inductively-coupled plasma emission spectroscopy (most major, minor and trace elements), atomic absorption spectroscopy (potassium), ion chromatography (major anions and fluorine) and colourimetry (ammonium and silicon. The study was a joint Environment Agency (then the National Rivers Authority) and CEH science-budget funded project concerning the hydrological impacts of broad-leaf woodland and their implications for water use and water quality. The water quality measurements were taken and collated within the science budget component by CEH staff.","locations":["POLYGON((-1.332 51.977, -1.332 52.643, -0.341 52.643, -0.341 51.977, -1.332 51.977))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1293033818673","https://catalogue.ceh.ac.uk/id/b7cfc0ce-304a-4d69-bb1a-6fd8eb92cdae"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Neal, C., Robson, A., Hall, R.L., Ryland, G., Conway, T. Neal, M. 1991. Hydrological impacts of hardwood plantation in lowland Britain: preliminary findings on interception at a forest edge, Blackwood, Hampshire, Southern England. J. Hydrol., 127, 349-365","Neal, C., Robson, A.J., Bhardwaj, C.L., Conway, T., Jeffery, H.A., Neal, M., Ryland, G.P., Smith, C.J., Walls, J. 1993. Relationships between precipitation, stemflow and throughfall for a low-land beech plantation, Black Wood, southern England: findings on interception at a forest edge and the effects of storm damage. J. Hydrol., 146, 221-233","Neal, C., Ryland, G.P., Conway, T., Jeffery, H.A., Neal, M., Robson, A.J., Smith, C.J., Walls, J., Bhardwaj, C.L. 1994. Interception of chemicals at a forest edge for a rural low-lying site at Black Wood, Hampshire, Southern England. Sci. Tot. Environ., 142, 127-141","Neal, C. 2002. Interception and attenuation of atmospheric pollution in a lowland ash forested site, Old Pond Close, Northamptonshire, UK. Sci. Tot. Environ., 282/283, 99-109"],"title":"Rainfall, throughfall and stemflow for beech and ash stands in temperate English deciduous woodlands","topic":["0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Water quality data produced from rainfall, throughfall and stemflow samples collected within a beech stand at Black Wood in Hampshire, and an ash stand at Old Pond Close in Northamptonshire. Two studies were carried out in the early 1990s to examine water quality in..."},{"publicationDate":"2024-09-10T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","Cranfield University"],"authorGivenName":["David","A."],"authorFamilyName":["Haro Monteagudo","Momblanch Benavent"],"authorFullName":["Haro Monteagudo, D.","Momblanch Benavent, A."],"authorOrcid":["https://orcid.org/0000-0002-7885-8248","https://orcid.org/0000-0003-3165-4691"],"authorRor":["https://ror.org/016476m91","https://ror.org/05cncd958"],"catalogue":"eidc","description":"This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater, land cover, crop coefficients population and GDP, and water demands for irrigation, livestock, industry, and domestic sectors.\n\nCWatM is a distributed hydrological model simulating the water cycle at global and local levels maintained by IIASA BNR Water Security group. The model was used to assess water supply and demand, and environmental needs, including water management and human influence within the water cycle in the Ebro River basin.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W004550/1"],"identifier":"468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","incomingCitationCount":0,"givenName":["David","A."],"familyName":["Haro Monteagudo","Momblanch Benavent","Haro  Monteagudo"],"fullName":["Haro Monteagudo, D.","Momblanch Benavent, A.","Haro  Monteagudo, D."],"keyword":["Spain","Ebro","Hydrology","Modelling","CWatM","distributed model","water management"],"keywordsPlace":["Spain","Ebro"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["CWatM","distributed model","water management"],"licence":"Open government licence","lineage":"The input data came from a variety of sources. Elevation and land cover data and flow direction maps came from Copernicus. The river routing data came from European Digital Elevation Model (v1.1). Lakes and reservoir data were obtained from the HydroLakes database. Soil hydraulic properties were from Dai et al., (2019). Groundwater data were from Global Hydrogeology MaPS (GLHYMPS). Crop co-efficients were from MIRCA2000. Data relating to water demand were from a range of published literature (e.g., KleinGoldewijk et al., 2017, Wriedt et al., 2009, Steinfeld et al., 2006, Gleick et al, 2009, Pastor et al., 2014). The specific details and sources of the input data are explained in more detail in the Readme.docx file included in this dataset.\n\nAll the datasets were projected and cropped for the area of study and resampled to a 1x1 km2 grid prior to running the model.\n\nThis CWatM model of the Ebro basin was developed by Dr David Haro Monteagudo from the University of Aberdeen in collaboration with Dr Andrea Momblanch Benavent from Cranfield University and the technical assistance of Dr Mikhail Smilovic and Dr Peter Burek from IIASA (Austria).\n","locations":["POLYGON((-4.46 40.54, -4.46 43.15, 2.46 43.15, 2.46 40.54, -4.46 40.54))"],"orcid":["https://orcid.org/0000-0002-7885-8248","https://orcid.org/0000-0003-3165-4691"],"organisation":["University of Aberdeen","Cranfield University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","10.5285/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/05cncd958","https://ror.org/04xw4m193"],"state":"published","title":"Input data and settings for running a Community Water Model (CWatM) of the Ebro River basin, Spain, 1990-2012","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater,..."},{"publicationDate":"2022-11-08T00:00:00.000+00:00","authorAffiliation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo"],"authorGivenName":["L.","J.","K.N.","Y.","D."],"authorFamilyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96"],"catalogue":"eidc","description":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods are estimated using CMIP6 projections and subsequently used to extract flood maps from a global flood model.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S3003061/1"],"identifier":"0d5d69ae-7f50-40ee-a0c9-2522de138f27","incomingCitationCount":0,"givenName":["L.","J.","K.N.","Y.","D."],"familyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"keyword":["Vietnam","Hydrology","Climate and climate change","Environmental risk","Flood Risk","Future Flood Risk","flood","climate change"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Hydrology","Climate and climate change","Environmental risk"],"keywordsOther":["Flood Risk","Future Flood Risk","flood","climate change"],"licence":"Open government licence","lineage":"This version of the global flood model develops that of Sampson et al (2015) by including an improved method to estimate channel conveyance (Neal et al., 2021) and an improved elevation dataset (Yamazaki et al., 2017).","locations":["POLYGON((98.613 5.504, 98.613 25.573, 114.609 25.573, 114.609 5.504, 98.613 5.504))"],"orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo","NERC EDS Environmental Information Data Centre","Fathom"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d5d69ae-7f50-40ee-a0c9-2522de138f27","10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Hirabayashi et al., 2021","Sampson et al., 2015","Neal et al., 2021","Yamazaki et al., 2017"],"title":"Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100 ","topic":["0/Hydrology/","0/Climate and climate change/","0/Environmental risk/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods..."},{"publicationDate":"2015-03-02T00:00:00.000+00:00","catalogue":"eidc","description":"This is a web map view service for the Integrated Hydrological Units (IHU) of the United Kingdom. The IHU define geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection in the UK. The layers in this service represent the following component polygon layers: Hydrometric Areas with Coastline; Hydrometric Areas without Coastline; Groups; Sections; and Catchments. Each layer represents a different level of spatial detail. \n\nThe coarsest level, Hydrometric Areas, is provided in two versions to meet differing user needs. Each Hydrometric Area is made up of one or more Groups. Each Group carries a name constructed from names of the major river flowing through the Group, the major river flowing into the Group, the major river into which the Group flows, and in some cases also from local county names. 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