{"numFound":301,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FWater+quality%2F&facet=resourceStatus%7CAvailable&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FWater+quality%2F&facet=resourceStatus%7CAvailable&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F","results":[{"publicationDate":"2025-07-08T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H","B A","A G","K","G","S J"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843"],"catalogue":"eidc","description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England, that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.All data are from January 2024 until the end of 2024.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 ","NE/Y006208/1"],"identifier":"b8efacd7-c849-40e1-a2d8-5c8355e95179","incomingCitationCount":0,"givenName":["H.","H","B A","A G","K","G","S J"],"familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"keyword":["Climate and climate change","Environmental survey","Water quality","dissolved oxygen","freshwater monitoring","phytoplankton"],"keywordsTheme":["Climate and climate change","Environmental survey","Water quality"],"keywordsOther":["dissolved oxygen","freshwater monitoring","phytoplankton"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality-controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortages.","locations":["POLYGON((-2.983 54.394, -2.983 54.398, -2.974 54.398, -2.974 54.394, -2.983 54.394))"],"orcid":["https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8efacd7-c849-40e1-a2d8-5c8355e95179","10.5285/b8efacd7-c849-40e1-a2d8-5c8355e95179"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, UK, 2024","topic":["0/Climate and climate change/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England, that began in 1945 for some variables. The data..."},{"publicationDate":"2024-07-03T00:00:00.000+00:00","authorAffiliation":["University of Cambridge","University of St Andrews"],"authorGivenName":["A.C.G.","L.","E.T."],"authorFamilyName":["Knight","Bridgestock","Tipper"],"authorFullName":["Knight, A.C.G.","Bridgestock, L.","Tipper, E.T."],"authorOrcid":["https://orcid.org/0000-0002-3206-3060","https://orcid.org/0000-0001-7636-6090","https://orcid.org/0000-0003-3540-3558"],"authorRor":["https://ror.org/013meh722","https://ror.org/02wn5qz54"],"catalogue":"eidc","description":"This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite, iron-oxyhydroxides: goethite and ferrihydrite) and surface waters (river water, groundwater and seawater).  The experiments systematically changed several variables (reaction duration, adsorbent concentration, water type and the pre-experiment adsorbent cleaning procedure).\n\nBarium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases from two Himalayan rivers (Saptakoshi River and Sunkoshi River) are also provided.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007164/1"],"identifier":"cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","incomingCitationCount":0,"givenName":["A.C.G.","L.","E.T."],"familyName":["Knight","Bridgestock","Tipper"],"fullName":["Knight, A.C.G.","Bridgestock, L.","Tipper, E.T."],"keyword":["Himalayas","Nepal","Saptakoshi River","Sunkoshi River","Hydrology","Environmental survey","ion-exchange","isotope experiments","barium","barium isotopes","adsorption","desorption","clay","clay minerals","aqueous geochemistry","iron-oxyhydroxides"],"keywordsPlace":["Himalayas","Nepal","Saptakoshi River","Sunkoshi River"],"keywordsTheme":["Hydrology","Environmental survey"],"keywordsOther":["ion-exchange","isotope experiments","barium","barium isotopes","adsorption","desorption","clay","clay minerals","aqueous geochemistry","iron-oxyhydroxides"],"licence":"Open government licence","lineage":"All experiments and analyses were performed in the Department of Earth Sciences at the University of Cambridge.\n\nBarium concentrations were determined in two independent ways:\n1.    Inductively coupled plasma optical emission spectroscopy (ICP-OES) on an Agilent 5100.\n2.\tIsotope dilution via thermal ionisation mass spectrometer (TIMS) on a Thermo Fischer Scientific Triton Plus.\n\nBarium isotope ratios were measured via TIMS on a Thermo Fischer Scientific Triton Plus. Barium was separated from other elements via column elution chromatography (AG50W-X8 resin). A double-spike procedure was used to correct for mass-dependent isotope fractionation. The NIST-3104a and NBS-127 standards were used to quantify the uncertainty associated with isotope ratio measurements (0.03 ‰).\n\nField samples of river water and sediment were collected from the surface of the water column from stationary sampling locations (Chatara and Khurkot) as part of the Perturbations of Earth Surface Processes by Large Earthquakes (PRESSurE) Project:  https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/.  The water and sediment samples were immediately separated following collection via filtration through 0.22-micrometre polyethersulfone (PES) membrane filters. Further information on the field samples can be found at: https://doi.org/10.5880/fidgeo.2024.008. The desorption of barium from the surfaces of sediment and the laboratory adsorbents was achieved using repeated additions of 1.0 mol/L ammonium chloride (Puratronic™, 99.999% (metals basis), Thermo Scientific Chemicals).","locations":["POLYGON((84.99 26.647, 84.99 28.517, 88.321 28.517, 88.321 26.647, 84.99 26.647))"],"orcid":["https://orcid.org/0000-0002-3206-3060","https://orcid.org/0000-0001-7636-6090","https://orcid.org/0000-0003-3540-3558"],"organisation":["University of Cambridge","University of St Andrews","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","10.5285/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"state":"published","title":"Barium concentration and stable isotope ratio measurements of the dissolved and adsorbed phases from laboratory batch experiments and Himalayan river samples from 2015-2016","topic":["0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite,..."},{"publicationDate":"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 rainfall from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. Continuous recording rain gauges were installed at six sites in these catchments to record 15 minute rainfall data for differing periods at the varying sites. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline rainfall data across the LOCAR catchments.","documentType":"GEMINI_DOCUMENT","identifier":"3ab4545b-2453-4bdf-9b48-552748632cdd","incomingCitationCount":0,"givenName":["N.","D.","P.","R.","E.","I.","J.","C.I."],"familyName":["Bachiller-Jareno","Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall"],"fullName":["Bachiller-Jareno, N.","Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I."],"keyword":["Lowland Catchment Research (LOCAR) Programme","Hydrology","atmospheric precipitation","meteorological parameter"],"keywordsProject":["Lowland Catchment Research (LOCAR) Programme"],"keywordsTheme":["Hydrology"],"keywordsOther":["atmospheric precipitation","meteorological parameter"],"licence":"Open government licence","lineage":"The rainfall data were measured using an automatic tipping bucket rain gauge. The gauge consisted of a funnel that collected and channelled the precipitation into a small seesaw-like container. After a pre-set amount of precipitation fell, the bucket tipped, dumping the collected water. The tips were converted into 15 minute rainfall data values and stored on the connected logger. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers on the rain gauges on a regular basis. The data are raw and have not been quality controlled.","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 EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1426781481610","https://catalogue.ceh.ac.uk/id/3ab4545b-2453-4bdf-9b48-552748632cdd","10.5285/3ab4545b-2453-4bdf-9b48-552748632cdd"],"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 rainfall (2002-2007) [LOCAR]","topic":["0/Hydrology/"],"version":1.0,"view":["public","cit"],"shortenedDescription":"Continuous measurements of rainfall from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. Continuous recording rain gauges were installed at six sites in these catchments to record 15 minute rainfall data for differing periods at..."},{"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":"2014-04-30T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Centre for Environmental Systems Research","University of Birmingham"],"authorGivenName":["C.L.R.","M.C.","C.","M.J.","H.A.","M.","D.M."],"authorFamilyName":["Laize","Acreman","Schneider","Dunbar","Houghton-Carr","Florke","Hannah"],"authorFullName":["Laize, C.L.R.","Acreman, M.C.","Schneider, C.","Dunbar, M.J.","Houghton-Carr, H.A.","Florke, M.","Hannah, D.M."],"authorOrcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8946-739X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"eidc","description":"This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows for 1961 to 1990). Score classes are categorisation of flow alteration scenarios.","documentType":"GEMINI_DOCUMENT","identifier":"d8ef71eb-3d22-4f98-af15-9d8e046ccb63","incomingCitationCount":0,"givenName":["Cedric","C.L.R.","M.C.","C.","M.J.","H.A.","M.","D.M."],"familyName":["Laize","Acreman","Schneider","Dunbar","Houghton-Carr","Florke","Hannah"],"fullName":["Laize, C.","Laize, C.L.R.","Acreman, M.C.","Schneider, C.","Dunbar, M.J.","Houghton-Carr, H.A.","Florke, M.","Hannah, D.M."],"keyword":["Europe","Climate and climate change","Hydrology","Modelling","streamflow","water","water levels","river flow"],"keywordsPlace":["Europe"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["streamflow","water","water levels","river flow"],"licence":"Non-Open government licence","lineage":"The river network was modelled as 33,668 cells (5° longitude; 5°latitude). For each cell, modelled monthly flows were generated for an ensemble of 10 scenarios for the 2050s and for the study baseline (naturalized flows for 1961-1990). These future scenarios consist of combinations of two climate scenarios and four socio-economic water-use scenarios (with a main driver of economy, policy, security or sustainability). Environmental flow implications are assessed using the new Ecological Risk due to Flow Alteration (ERFA) methodology, based on a set of monthly flow regime indicators (MFRIs). Differences in MFRIs between scenarios and baseline are calculated to derive ERFA classes (no, low, medium and high risk), which are based on the number of indicators significantly different from the baseline. ERFA classes are presented as colour-coded pan-European maps. Observed historical climate data for the reference period 1961-1990 were collated from the Climate Research Unit (University of East Anglia, UK). Projected future climate data for the period 2040-2069 (i.e. 2050s) were taken from two Global Circulation Models (GCMs): (i) IPSL-CM4, Institut Pierre Simon Laplace, France (IPCM4 thereafter); and (ii) MIROC3.2, Center for Climate System Research, University of Tokyo, Japan (MIMR thereafter). These two GCMs were chosen after comparing nine GCMs from the IPCC Fourth Assessment (IPCC, 2007); they were considered representative of the variability between GCMs (Bärlund, 2010). For both GCMs, the IPCC SRES A2 emission scenario (IPCC, 2007) was selected. In total, 11 sets of modelled monthly flow series were generated using different combinations of climate data inputs and socio-economic scenarios. Naturalized flows for 1961-1990 were generated by running WaterGAP with the hydrological component only (i.e. no water usage) and the historical climate data from CRU as input.","locations":["POLYGON((-6 35, -6 71, 29 71, 29 35, -6 35))"],"orcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8946-739X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Centre for Environmental Systems Research","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1386846758703","https://catalogue.ceh.ac.uk/id/d8ef71eb-3d22-4f98-af15-9d8e046ccb63","10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Laizé, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Flörke, M., & Hannah, D.M. (2013). PROJECTED FLOW ALTERATION AND ECOLOGICAL RISK FOR PAN-EUROPEAN RIVERS. River Research and Applications, 30(3), 299–314"],"title":"Ecological risk due to river flow alteration under climate and socioeconomic change scenarios","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jone"],"shortenedDescription":"This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows..."},{"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":"2017-03-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["I.D.","H.","S.C."],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorOrcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","identifier":"82c3c730-8a58-4a59-9aaa-00ab53315507","incomingCitationCount":0,"givenName":["Heidrun","I.D.","H.","S.C."],"familyName":["Feuchtmayr","Jones","Maberly"],"fullName":["Feuchtmayr, H.","Jones, I.D.","Maberly, S.C."],"keyword":["Lake District","England","Esthwaite Water","Water quality","Environmental survey","temperature profile","lake","freshwater","meteorological parameter"],"keywordsPlace":["Lake District","England","Esthwaite Water"],"keywordsTheme":["Water quality","Environmental survey"],"keywordsOther":["temperature profile","lake","freshwater","meteorological parameter"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Esthwaite Water are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2012 to 2015. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-3 54.344, -3 54.374, -2.97 54.374, -2.97 54.344, -3 54.344))"],"orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0003-3541-5903"],"organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/82c3c730-8a58-4a59-9aaa-00ab53315507","10.5285/82c3c730-8a58-4a59-9aaa-00ab53315507"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","title":"Data from automatic water monitoring buoy from Esthwaite Water, 2012 to 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake..."},{"publicationDate":"2024-05-02T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University"],"authorGivenName":["M.A.J.","D.A.","I.","S.","A.D.","E.","M.R.","P.O.","M.G.","A.P.","N.C.","D.M.","B.J."],"authorFamilyName":["van Soest","Norris","Lebron","Tandy","Radbourne","Fitos","Brooks","Keenan","Pereira","Pinder","Callaghan","Cooper","Cosby"],"authorFullName":["van Soest, M.A.J.","Norris, D.A.","Lebron, I.","Tandy, S.","Radbourne, A.D.","Fitos, E.","Brooks, M.R.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Callaghan, N.C.","Cooper, D.M.","Cosby, B.J."],"authorOrcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-9494-6272","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0001-5645-3373"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"catalogue":"eidc","description":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted due to the Covid pandemic. Stream samples were taken using a grab technique and filtered in the field. Rain samples were collected using bulk precipitation collectors. Data are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements for the water temperature and stream flow for the six stream locations and air temperature and volume for the rainfall sites.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"cfac5ef3-ad12-4f88-acd8-509e0795d5ed","incomingCitationCount":0,"givenName":["M.A.J.","D.A.","I.","S.","A.D.","E.","M.R.","P.O.","M.G.","A.P.","N.C.","D.M.","B.J."],"familyName":["van Soest","Norris","Lebron","Tandy","Radbourne","Fitos","Brooks","Keenan","Pereira","Pinder","Callaghan","Cooper","Cosby"],"fullName":["van Soest, M.A.J.","Norris, D.A.","Lebron, I.","Tandy, S.","Radbourne, A.D.","Fitos, E.","Brooks, M.R.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Callaghan, N.C.","Cooper, D.M.","Cosby, B.J."],"keyword":["Plynlimon","Hydrology","water chemistry"],"keywordsPlace":["Plynlimon"],"keywordsTheme":["Hydrology"],"keywordsOther":["water chemistry"],"licence":"Open government licence","lineage":"These data presented follow on from the hydrochemical data sets presented in the data series Plynlimon Hydrochemistry data. The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor. Data was being checked and added to an Access database before being extracted to csv and uploaded to EIDC.\n","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"orcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-9494-6272","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0001-5645-3373"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfac5ef3-ad12-4f88-acd8-509e0795d5ed","10.5285/cfac5ef3-ad12-4f88-acd8-509e0795d5ed"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Plynlimon webpage"],"title":"Plynlimon research catchment hydrochemistry (2019-2023)","topic":["0/Hydrology/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted..."},{"publicationDate":"2020-06-24T00:00:00.000+00:00","authorAffiliation":["Foundation for Ecological Research, Advocacy and Learning","Ashoka Trust for Research in Ecology and the Environment","Lancaster Environment Centre, Lancaster University"],"authorGivenName":["R.S.","J.","N.A.","K.","S.","R.","P."],"authorFamilyName":["Bhalla","Krishnsawamy","Chappell","Kumaran","Vaidyanathan","Nayak","Ghatwai"],"authorFullName":["Bhalla, R.S.","Krishnsawamy, J.","Chappell, N.A.","Kumaran, K.","Vaidyanathan, S.","Nayak, R.","Ghatwai, P."],"authorOrcid":["https://orcid.org/0000-0002-6551-4470","https://orcid.org/0000-0001-7985-0005","https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-8569-8844","https://orcid.org/0000-0003-3642-0309","https://orcid.org/0000-0002-6128-6853"],"authorRor":["https://ror.org/02e22ra24","https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle. The data were collected between May 2014 and December 2016. Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe-based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Dry season data has not been included in this dataset as its focus is on extreme rain events.\n\nThe data were collected as part of a series of eco-hydrology projects that explored the impact of land cover on rain-runoff response, carbon sequestration and nutrient and sediment discharge.\n\nThe dataset presented here was collected by a team of three to five researchers and field assistants who were engaged in the installation of the data loggers and their regular operation and maintenance. Four research agencies have partnered across multiple projects to sustain the data collection efforts that started in June 2013 and continue (June 2020). These are the Foundation for Ecological Research, Advocacy and Learning - Pondicherry, the Ashoka Trust for Research in Ecology and the Environment - Bangalore, the Lancaster Environmental Centre, Lancaster University - UK, and the National Centre for Biological Sciences - Bangalore. Funding was provided by Ministry of Earth Sciences Government of India from the Changing Water Cycle programme (Grant Ref: MoES/NERC/16/02/10 PC-II) and the Hydrologic footprint of Invasive Alien Species project (MOES/PAMC/H&C/85/2016-PC-II). Additional funding was provided by UKRI Natural Environment Research Council grant NE/I022450/1 (Western Ghats-Capacity within the NERC Changing Water Cycle programme) and WWF-India as part of the Noyyal-Bhavani program.This research took place inside protected areas in the Nilgiri Division for which permissions and support were provided continually by the Tamil Nadu Forest Department, particularly the office of the District Forest Officer, Udhagamandalam.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/I022450/1"],"identifier":"9257a999-2844-4be1-80d1-fd29e2ccf9ef","incomingCitationCount":0,"givenName":["R.S.","J.","N.A.","K.","S.","R.","P."],"familyName":["Bhalla","Krishnsawamy","Chappell","Kumaran","Vaidyanathan","Nayak","Ghatwai"],"fullName":["Bhalla, R.S.","Krishnsawamy, J.","Chappell, N.A.","Kumaran, K.","Vaidyanathan, S.","Nayak, R.","Ghatwai, P."],"keyword":["Tipping bucket wired rain gauge","stilling wells","capacitance probe","mini-disk infiltrometer","Southern Western Ghats","Upper Nilgiris","India","Land cover","Hydrology","Soil","Daily rainfall","Daily discharge","hydraulic conductivity","Impacts of land cover"],"keywordsInstrument":["Tipping bucket wired rain gauge","stilling wells","capacitance probe","mini-disk infiltrometer"],"keywordsPlace":["Southern Western Ghats","Upper Nilgiris","India"],"keywordsTheme":["Land cover","Hydrology","Soil"],"keywordsOther":["Daily rainfall","Daily discharge","hydraulic conductivity","Impacts of land cover"],"licence":"Open government licence","lineage":"Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Data from loggers on the rain gauges and water level recorder were downloaded fortnightly onto field laptops. Field notes were maintained for the hydraulic conductivity data and for recording metadata during field visits. Data was processed in the field station using R scripts which included routines to plot and visualise data to assure quality. Rainfall and discharge data were aggregated to daily time steps and output as a .csv file for deposit into the EIDC.","locations":["POLYGON((76.552 11.274, 76.552 11.31, 76.585 11.31, 76.585 11.274, 76.552 11.274))"],"orcid":["https://orcid.org/0000-0002-6551-4470","https://orcid.org/0000-0001-7985-0005","https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-8569-8844","https://orcid.org/0000-0003-3642-0309","https://orcid.org/0000-0002-6128-6853"],"organisation":["Foundation for Ecological Research, Advocacy and Learning","Ashoka Trust for Research in Ecology and the Environment","Lancaster Environment Centre, Lancaster University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9257a999-2844-4be1-80d1-fd29e2ccf9ef","10.5285/9257a999-2844-4be1-80d1-fd29e2ccf9ef"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/02e22ra24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Daily rainfall, stream discharge and hydraulic conductivity of soils from catchments dominated by different vegetation types, Western Ghats, India, 2014-2016","topic":["0/Land cover/","0/Hydrology/","0/Soil/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle...."},{"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":"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":"2024-04-03T00:00:00.000+00:00","authorAffiliation":["Exeter University","University of Illinois at Urbana-Champaign","University of São Paulo","University of Brighton","University of Brasilia"],"authorGivenName":["M.Z.M.","R.","J.","A.P.","P.","M."],"authorFamilyName":["Brückner","Aalto","Best","Paes de Almeida","Nicholas","Ashworth","Ianniruberto"],"authorFullName":["Brückner, M.Z.M.","Aalto, R.","Best, J.","Paes de Almeida, R.","Nicholas, A.P.","Ashworth, P.","Ianniruberto, M."],"authorOrcid":["https://orcid.org/0000-0002-7954-9586","https://orcid.org/0000-0003-1503-0141","https://orcid.org/0000-0001-5314-6140","https://orcid.org/0000-0003-3664-1558","https://orcid.org/0000-0002-8713-8656","https://orcid.org/0000-0002-9642-4857","https://orcid.org/0000-0002-9056-9668"],"catalogue":"eidc","description":"These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional area in three 50-120 km long reaches in the Solimoes River presented here as shape-files. Processed Corona imagery 1967 for a 120 km long reach in the Solimoes River shows the banklines and bar outlines. A spreadsheet provides erosional and depositional area at 20-km sections along the 1,600km of the Solimoes River that were based on measuring floodplain width from a digital elevation model (FABDEM). We also attach a GeoTIFF file of the multibeam echo sounder (MBES) data collected during the field campaign in a 20-km long reach in the Solimoes River","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/T007478/1"],"identifier":"11786f86-a3ac-45ab-81b5-10fd157e3d7a","incomingCitationCount":0,"givenName":["M.Z.M.","R.","J.","A.P.","P.","M."],"familyName":["Brückner","Aalto","Best","Paes de Almeida","Nicholas","Ashworth","Ianniruberto"],"fullName":["Brückner, M.Z.M.","Aalto, R.","Best, J.","Paes de Almeida, R.","Nicholas, A.P.","Ashworth, P.","Ianniruberto, M."],"keyword":["Brazil","Solimoes River","Hydrology","bank strength","channel erosion and deposition","fluvial morphodynamics"],"keywordsPlace":["Brazil","Solimoes River"],"keywordsTheme":["Hydrology"],"keywordsOther":["bank strength","channel erosion and deposition","fluvial morphodynamics"],"licence":"Non-Open government licence","lineage":"Field data collection of bank strength and MBES data collection. Conversion of bank strength measurements into kPa using available calibration equations and statistical analysis. MBES data was cleaned and regridded using appropriate software.\nLandsat imagery was downloaded from Google Earth Engine as composite images between 1984-88 and 2019-22 and converted into binary maps of water and dry cells for each period. Small channels and lakes were removed in ArcGIS and split into sections of approximately 20- and 10-km lengths. \nGIS analysis was carried out by downloading shape-files from the Global Water Surface Explorer (https://global-surface-water.appspot.com/) for 1984 and 2019 along both banks of the entire Solimoes River. Net erosional and depositional area was computed as the sum of along 20-km reaches. Association and disassociation with cohesive terraces that determined based on a digital elevation model for 2000 for each reach and bank. \nCorona imagery was purchased and georeferenced using GIS software.\n","locations":["POLYGON((-68.95 -8.668, -68.95 2.372, -57.393 2.372, -57.393 -8.668, -68.95 -8.668))"],"orcid":["https://orcid.org/0000-0002-7954-9586","https://orcid.org/0000-0003-1503-0141","https://orcid.org/0000-0001-5314-6140","https://orcid.org/0000-0003-3664-1558","https://orcid.org/0000-0002-8713-8656","https://orcid.org/0000-0002-9642-4857","https://orcid.org/0000-0002-9056-9668"],"organisation":["Exeter University","University of Illinois at Urbana-Champaign","University of São Paulo","University of Brighton","University of Brasilia","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11786f86-a3ac-45ab-81b5-10fd157e3d7a","10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalName":["Global Surface Water Explorer"],"title":"Bank strength measurements in the Amazon River, September to October 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional..."},{"publicationDate":"2021-08-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","A.L.","M.","R.","V.A.","E.M."],"authorFamilyName":["Robinson","Kay","Brown","Chapman","Bell","Blyth"],"authorFullName":["Robinson, E.L.","Kay, A.L.","Brown, M.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5) scenario. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). PET and PETI were calculated for each member of the UKCP18 RCM perturbed parameter ensemble. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each ensemble member, for each decade.","documentType":"GEMINI_DOCUMENT","identifier":"eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","incomingCitationCount":8,"givenName":["Emma","E.L.","A.L.","M.","R.","V.A.","E.M."],"familyName":["Robinson","Kay","Brown","Chapman","Bell","Blyth"],"fullName":["Robinson, E.","Robinson, E.L.","Kay, A.L.","Brown, M.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"keyword":["Climate and climate change","Hydrology","Modelling","Potential evaporation","Potential evapotranspiration","evaporation","evapotranspiration"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["Potential evaporation","Potential evapotranspiration","evaporation","evapotranspiration"],"licence":"Open government licence","lineage":"This dataset was derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional Projections on a 12km grid over the UK for 1980-2080 (https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604, v20190731, v20190731), which is a twelve member perturbed parameter ensemble of climate model projections for representative concentration pathway (RCP) scenario RCP8.5. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. The UKCP18 meteorological variables used were daily mean values of: specific humidity at 1.5 m (kg kg-1); sea level pressure (hPa); net surface long wave flux (W m-2); net surface short wave flux (W m-2); wind speed at 10 m (m s-1); air temperature at 1.5 m (degC); precipitation (mm d-1; used for PETI only). Other variables used were the surface elevation (m; https://data.ceda.ac.uk/badc/ukcp18/data/land-rcm/ancil/orog), atmospheric CO2 concentrations (ppmv), and land-sea mask that were used when running the climate model. A description of the methodology is available in the supporting documentation.","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/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKCP18 Regional Projections on a 12km grid over the UK for 1980-2080"],"title":"Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM)","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5)..."},{"publicationDate":"2024-07-02T00:00:00.000+00:00","authorAffiliation":["National University of Santiago Antunez Mayolo","Centro de Ornitología y Biodiversidad (CORBIDI)","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Northumbria University","University of Leeds"],"authorGivenName":["E.","K.","A.","M.","R.","P.","F.","L."],"authorFamilyName":["Palacios","Medina","Loarte","Castañeda","Gamboa","Polo","Tapia","Pellicciotti","Brown"],"authorFullName":["Palacios, E.","Medina, K.","Loarte, E.","Castañeda, A.","Gamboa, M.","Polo, R.","Tapia, P.","Pellicciotti, F.","Brown, L."],"authorOrcid":["https://orcid.org/0000-0001-5295-3901","https://orcid.org/0000-0002-2910-6808","https://orcid.org/0000-0003-3123-1904","https://orcid.org/0000-0001-9230-2177","https://orcid.org/0000-0003-2316-123X","https://orcid.org/0000-0001-5065-7770","https://orcid.org/0000-0002-0708-4468","https://orcid.org/0000-0002-5554-8087","https://orcid.org/0000-0002-2420-0088"],"authorRor":["https://ror.org/03w7bgm07","https://ror.org/03a5ms192","https://ror.org/01ff0t864","https://ror.org/049e6bc10","https://ror.org/024mrxd33"],"catalogue":"eidc","description":"This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included.\n\nThis data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates.\n\nThe sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. \n\nThe study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Newton-Paulet Fund","Fondo Nacional de Desarrollo Científico y Tecnológico"],"identifier":"3684da74-6c6d-4f25-867b-62b7b68175f6","incomingCitationCount":0,"givenName":["E.","K.","A.","M.","R.","P.","F.","L."],"familyName":["Palacios","Medina","Loarte","Castañeda","Gamboa","Polo","Tapia","Pellicciotti","Brown"],"fullName":["Palacios, E.","Medina, K.","Loarte, E.","Castañeda, A.","Gamboa, M.","Polo, R.","Tapia, P.","Pellicciotti, F.","Brown, L."],"keyword":["Cordillera Blanca","Peru","Hydrology","river","glacier","conductivity","anion","Pfankuch index","dissolved organic carbon","dissolved inorganic nitrogen","phosphorus","turbidity","pH"],"keywordsPlace":["Cordillera Blanca","Peru"],"keywordsTheme":["Hydrology"],"keywordsOther":["river","glacier","conductivity","anion","Pfankuch index","dissolved organic carbon","dissolved inorganic nitrogen","phosphorus","turbidity","pH"],"licence":"Open government licence","lineage":"Field environmental parameters were measured with the previously calibrated Multi 3630 IDS multiparametric instrument. Water samples were collected for analysis of metal ions, anions and nutrients in the laboratory of the Faculty of Environment, University of Leeds, England. Calibration standards with known concentrations were used to ensure the accuracy and precision of the measurements. More detail is available in the supporting documentation accompanying the data.","locations":["POLYGON((-81.411 -18.348, -81.411 -0.057, -68.665 -0.057, -68.665 -18.348, -81.411 -18.348))"],"orcid":["https://orcid.org/0000-0001-5295-3901","https://orcid.org/0000-0002-2910-6808","https://orcid.org/0000-0003-3123-1904","https://orcid.org/0000-0001-9230-2177","https://orcid.org/0000-0003-2316-123X","https://orcid.org/0000-0001-5065-7770","https://orcid.org/0000-0002-0708-4468","https://orcid.org/0000-0002-5554-8087","https://orcid.org/0000-0002-2420-0088"],"organisation":["National University of Santiago Antunez Mayolo","Centro de Ornitología y Biodiversidad (CORBIDI)","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Northumbria University","University of Leeds","NERC EDS Environmental Information Data Centre","National Environmental Research Council"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3684da74-6c6d-4f25-867b-62b7b68175f6","10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["National Environmental Research Council"],"ror":["https://ror.org/03w7bgm07","https://ror.org/03a5ms192","https://ror.org/01ff0t864","https://ror.org/049e6bc10","https://ror.org/024mrxd33","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"state":"published","title":"Physicochemical data of glacier rivers in the Cordillera Blanca, Peru, 2019-2020","topic":["0/Hydrology/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total..."},{"publicationDate":"2022-02-21T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["P.","V.A.","M.J.","H.N."],"authorFamilyName":["Rameshwaran","Bell","Brown","Davies"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Brown, M.J.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods.  This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M020428/1"],"identifier":"346124fd-a0c6-490f-b5af-eaccbb26ab6b","incomingCitationCount":1,"givenName":["P.","V.A.","M.J.","H.N."],"familyName":["Rameshwaran","Bell","Brown","Davies"],"fullName":["Rameshwaran, P.","Bell, V.A.","Brown, M.J.","Davies, H.N."],"keyword":["Climate and climate change","Hydrology","Modelling","flow","river"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["flow","river"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP6 daily precipitation and potential evaporation derived from bias-corrected CMIP6 daily temperature data. See Supporting Information for more details.","locations":["POLYGON((-18.281 3.338, -18.281 28.459, 26.191 28.459, 26.191 3.338, -18.281 3.338))"],"orcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/346124fd-a0c6-490f-b5af-eaccbb26ab6b","10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100)..."},{"publicationDate":"2021-03-15T00:00:00.000+00:00","authorAffiliation":["University of Birmingham","Durham University","University of Leeds"],"authorGivenName":["G. H.","R. J.","S."],"authorFamilyName":["Sambrook Smith","Hardy","Sinha"],"authorFullName":["Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S."],"authorOrcid":["https://orcid.org/0000-0003-1031-0160"],"authorRor":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33"],"catalogue":"eidc","description":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational Fluid Dynamics (CFD) model that is able to simulate flow both in the boundary layer flow and Brinkman layer. This allows simultaneous predictions of surface and subsurface flow in one numerical scheme. The analysis is applied to undertake a numerical sensitivity experiment to assess how bed permeability influences flow over bed forms typically found in river channels e.g. dunes.\n\nFor the latter the data simulates flow around biofilm-streamers in the laminar flow regime. Numerical simulations simulate the flapping motion of a single biofilm streamer. The major thrust of the study is to investigate the impact of changing Reynolds number on hydrodynamic characteristics of the ambient flow and the frequency of biofilm oscillation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012819/1"],"identifier":"a1fbdde5-688d-4b48-9293-12ecf5563704","incomingCitationCount":1,"givenName":["Greg","G. H.","R. 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The permeable bed data was created using Phoenics and the biofilm streamer was created using OPENFOAM\n","orcid":["https://orcid.org/0000-0003-1031-0160"],"organisation":["University of Birmingham","Durham University","University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1fbdde5-688d-4b48-9293-12ecf5563704","10.5285/a1fbdde5-688d-4b48-9293-12ecf5563704"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Numerical model output data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational..."},{"publicationDate":"2010-06-18T00:00:00.000+00:00","catalogue":"eidc","description":"These catchment boundaries define upland catchments and subcatchments at the headwaters of rivers Upper Hafren (Severn) and Upper Gwy (Wye). 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The topographic maps reference are: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas. Sheet No. 1. Scale 1:10000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1279799020139","https://catalogue.ceh.ac.uk/id/ee2eeee5-e456-4e93-87e9-eee97ee149ee"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Plynlimon research catchments: catchment boundaries","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"These catchment boundaries define upland catchments and subcatchments at the headwaters of rivers Upper Hafren (Severn) and Upper Gwy (Wye). They identify the area of study of the Plynlimon research catchment project. 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Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population).  \n\nPlease see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S002847/1"],"identifier":"710fc65c-87eb-4932-9d8e-dc8328742232","incomingCitationCount":0,"givenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"familyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"fullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"keyword":["Mekong River Basin","sediment","soil nutrients","water quality","rice agriculture","nitrate","phosphorous","Hydrology","phosphorus"],"keywordsTheme":["Hydrology"],"keywordsOther":["sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"licence":"Open government licence","lineage":"Data are modelled outputs from the integrated catchment (INCA) models, INCA-N for nitrate related water quality, and INCA-P for phosphorus related water quality.  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C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. "," The National Centers for Environmental Prediction Final Reanalysis dataset have been used as initial and boundary condition, and to nudge the WRF model: National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01/01/2022  ","Data from this center were used in the EMEP4UK model","Data from this inventory were used in the EMEP4UK model","Emissions used in EMEP4UK model are available from this paper: Tomlinson et al., 2023. 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Chemical data collected in 2019-2020 along the River Wandle (Thames, UK) were used to test the code and example results are also included. \n\nThe code assumes conservative mixing and hence is likely to be best suited to assessing chronic sources of pollution (i.e., sources that are temporally invariant, or as near as, during the sampling campaign).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/X010805/1"],"identifier":"8ae3c419-611d-4bee-ad41-1c9081e79975","incomingCitationCount":0,"givenName":["K.","A.","L.","R.","G.","Gareth"],"familyName":["Chrapkiewicz","Lipp","Barron","Barnes","Roberts"],"fullName":["Chrapkiewicz, K.","Lipp, A.","Barron, L.","Barnes, R.","Roberts, G."],"keyword":["Thames","Pollution","Hydrology","source apportionment","chemicals","environmental contaminant","pollutant","waterway","river","stream"],"keywordsPlace":["Thames"],"keywordsTheme":["Pollution","Hydrology"],"keywordsOther":["source apportionment","chemicals","environmental contaminant","pollutant","waterway","river","stream"],"licence":"Open government licence","lineage":"The code was developed as part of a six-month project funded via a NERC Exploring the Frontiers grant. 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