{"numFound":200,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FWater+quality%2F&facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FWater+quality%2F&facet=recordType%7CDataset","results":[{"publicationDate":"2016-10-10T00:00:00.000+00:00","authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorGivenName":["P.","C.","L.M.","N."],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"catalogue":"eidc","description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"givenName":["Chris","P.","C.","L.M.","N."],"familyName":["Huntingford","Zelazowski","Mercado","Schaller"],"fullName":["Huntingford, C.","Zelazowski, P.","Mercado, L.M.","Schaller, N."],"keyword":["Modelling","Climate and climate change","IMOGEN"," Global Circulation Model","GCM","Global climate-carbon cycle model","Future climate projections","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["IMOGEN"," Global Circulation Model","GCM","Global climate-carbon cycle model","Future climate projections","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/039bjqg32","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving  the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological..."},{"publicationDate":"2023-11-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorGivenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M."],"authorFamilyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"authorFullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M."],"authorOrcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"catalogue":"eidc","description":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering the different agrochemicals used and their differing forms of environmental impact. We provide four mapped products: IYR for Nitrogen fertilisers, IYR for Phosphorus fertilisers, IYR for pesticide risk to earthworms, and IYR for pesticide risk to honeybees. The IYR is calculated using scaled rather than absolute values, with the maximum value in each yield and inputs dataset set as 1, so that all inputs and rewards are expressed proportionally to each other.\n\nThe research was funded under research programme NE/N018125/1 ASSIST and NE/W005050/1 AgZero+.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","incomingCitationCount":0,"givenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M.","Hannah"],"familyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"fullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M.","Risser, H."],"keyword":["Agriculture","Environmental risk","Mapping","Land use","Modelling","ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Land use","Modelling"],"keywordsOther":["ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"licence":"Open government licence","lineage":"We mapped estimated pesticide and fertiliser applications to 1km grid squares in England using data from the Fera Pesticide Utilisation Survey and the British Survey of Fertiliser Practice, respectively. Estimated pesticide applications were converted to risk values to honeybees and earthworms using information on toxicity from the Pesticide Property Database. Areas with winter wheat crop were identified from the UKCEH Land Cover® plus: Crops map. Data from the June Survey of Agricultural and Horticultural activity were used to create an average wheat yield map for England.\n\nWe then compared the fertiliser and pesticide application datasets separately to estimated yields of wheat in order to derive the Input to Yield Ratio (IYR) for four separate agrochemical inputs: Nitrogen fertilisers, Phosphorus fertilisers, pesticide exposure for earthworms, and pesticide exposure for honeybees.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"state":"published","title":"Input to Yield Ratio (IYR) maps for wheat farming in England, 2010-2017","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Land use/","0/Modelling/"],"version":1.0,"view":["public","rafbar"],"shortenedDescription":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering..."},{"publicationDate":"2023-05-24T00:00:00.000+00:00","authorAffiliation":["University of Newcastle","University of Stirling"],"authorGivenName":["Z.","R.S.","D.","N.J."],"authorFamilyName":["Pattison","Quilliam","Oliver","Willby"],"authorFullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"authorOrcid":["https://orcid.org/0000-0002-5243-0876","https://orcid.org/0000-0001-7020-4410","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0002-1020-0933"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"catalogue":"eidc","description":"This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: \n -  Greater Glasgow conurbation, Scotland\n -  Cumbria, NW England\n -  Norfolk, E England.\n\nLakes were sampled once in each of three seasons (spring, summer and autumn) in either 2016 (Norfolk) or 2017 (Cumbria and Greater Glasgow) with faecal indicators being quantified at three discrete sampling stations in each lake (>50m apart) and at three points at each station (i.e. nine samples per lake per sampling date).  Faecal indicators were quantified based on standard dilution, membrane filtration and incubation, followed by colony counting.\n\nThe data were collected to investigate the fine scale connectivity between Faecal Indicator Organisms (FIO) densities within water bodies and diffuse and point source inputs from the adjacent catchment and from biological vectors. They also provide an indication of the relative sources of variation in reported concentrations that is relevant for environmental regulatory purposes.\n\nThe work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N006437/1"],"identifier":"5f988cd4-479d-4e35-8835-42f80ebc1698","incomingCitationCount":0,"givenName":["Z.","R.S.","D.","N.J."],"familyName":["Pattison","Quilliam","Oliver","Willby"],"fullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"keyword":["Water quality","Connectivity","spatial variation","faecal indicators","Human health","microbiology","water quality","human health","Rural-urban"],"keywordsTheme":["Water quality"],"keywordsOther":["Connectivity","spatial variation","faecal indicators","Human health","microbiology","water quality","human health","Rural-urban"],"licence":"Open government licence","lineage":"Sub-surface water samples obtained from multiple discrete points within 18 water bodies in each of three lake districts via wading and shore-based sampling.\n\nStandard water body characteristics (area, elevation, perimeter etc) are available from the UK Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/).\n\nWater samples for microbial analysis were stored at 4 degrees C and processed within six hours of collection. 100ml samples at three dilutions were filtered through 0.45-um membrane filters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA agar). Plates were incubated at 37 degrees C and counted after 24 hours. Counts are reported as number of Colony Forming Units (CFU) per 100 ml water.\n\nData limitations: spatial sampling points within each water body were established with a handheld GPS with typical accuracy of +/- 3-5m. Concentrations of Faecal Indicator Organisms (FIOs), especially in water, are highly spatially and temporally variable over short distances and time scales. The data therefore provide a near instantaneous picture of the spatial variation in FIO concentrations within a water body at a given time. The data are suitable for an assessment of relative sources of variation in FIO concentrations (i.e. within sample location, between sample location, between site, between district and between season).\n\nData were added to an Excel spreadsheet and exported as .csv files for deposit into the EIDC.","locations":["POLYGON((-4.636 52.117, -4.636 56.032, 1.939 56.032, 1.939 52.117, -4.636 52.117))"],"orcid":["https://orcid.org/0000-0002-5243-0876","https://orcid.org/0000-0001-7020-4410","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0002-1020-0933"],"organisation":["NERC EDS Environmental Information Data Centre","University of Newcastle","University of Stirling"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5f988cd4-479d-4e35-8835-42f80ebc1698","10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/04xw4m193","https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"state":"published","supplementalName":["Lakes portal"],"title":"Faecal indicator data from 54 lakes in Greater Glasgow, Cumbria, and Norfolk, UK, 2016-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: \n -  Greater Glasgow conurbation, Scotland\n -  Cumbria, NW England\n -  Norfolk, E England.\n\nLakes were sampled once in each of three seasons..."},{"publicationDate":"2017-05-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Centre for Environment, Fisheries & Aquaculture Science"],"authorGivenName":["T.G.","A.","P."],"authorFamilyName":["Pottinger","Cook","Matthiessen"],"authorFullName":["Pottinger, T.G.","Cook, A.","Matthiessen, P."],"authorOrcid":["https://orcid.org/0000-0001-7661-9369"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises characteristics of three-spined stickleback fish including length, weight, sex, condition factor (K-factor), cortisol and glucose concentration, RNA:DNA ratio and ethoxyresorufin-O-deethylase activity normalised to liver homogenate protein concentration.  These data were collected by the Centre for Ecology & Hydrology from three-spined sticklebacks (Gasterosteus aculeatus L.) captured in the River Ray (south west England) at sites downstream of an urban waste water treatment works (Rodborne WWTW) prior to (2005-2007), and following (2008), remediation of the WWTW effluent with granular activated carbon (GAC) tertiary treatment. During the same period fish were also sampled from neighbouring reference rivers (R. Ock, Childrey Brook). ","documentType":"GEMINI_DOCUMENT","identifier":"3322cccd-95fe-4cc9-baf8-48cddd03433d","incomingCitationCount":0,"givenName":["T. G.","T.G.","A.","P."],"familyName":["Pottinger","Cook","Matthiessen"],"fullName":["Pottinger, T.G.","Cook, A.","Matthiessen, P."],"keyword":["River Ray","South West","River Ock","Childrey Brook","EDCAT","Water quality","Environmental risk","Environmental survey","Pollution","Gasterosteus aculeatus L."],"keywordsPlace":["River Ray","South West","River Ock","Childrey Brook"],"keywordsProject":["EDCAT"],"keywordsTheme":["Water quality","Environmental risk","Environmental survey","Pollution"],"keywordsOther":["Gasterosteus aculeatus L."],"licence":"Open government licence","lineage":"The fish were captured with a hand net, then processed and analysed at the Centre for Ecology & Hydrology, Lancaster.  See supporting documentation for further information.","locations":["POLYGON((-2.006 51.433, -2.006 51.649, -1.524 51.649, -1.524 51.433, -2.006 51.433))"],"orcid":["https://orcid.org/0000-0001-7661-9369"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Centre for Environment, Fisheries & Aquaculture Science","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3322cccd-95fe-4cc9-baf8-48cddd03433d","10.5285/3322cccd-95fe-4cc9-baf8-48cddd03433d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Somatic and physiological data for three-spined sticklebacks, 2005-2008 [Endocrine Disruption in Catchments (EDCAT)]","topic":["0/Water quality/","0/Environmental risk/","0/Environmental survey/","0/Pollution/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset comprises characteristics of three-spined stickleback fish including length, weight, sex, condition factor (K-factor), cortisol and glucose concentration, RNA:DNA ratio and ethoxyresorufin-O-deethylase activity normalised to liver homogenate protein concentration...."},{"publicationDate":"2022-11-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of seven-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member.\n\nTo aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid.\n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"18be3704-0a6d-4917-aa2e-bf38927321c5","incomingCitationCount":1,"givenName":["Alison","A.L.","A.C.","H.N.","R.A.","V.A."],"familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.","Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"keyword":["UK-SCAPE","Modelling","Climate and climate change","Hydrology","River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Climate and climate change","Hydrology"],"keywordsOther":["River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018 - https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604) . The projections comprise a twelve-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE derived from other meteorological variables (using the Penman-Monteith scheme). See the documentation accompanying the data for more details.","locations":["POLYGON((-8.903 49.771, -8.903 58.883, 3.181 58.883, 3.181 49.771, -8.903 49.771))"],"orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18be3704-0a6d-4917-aa2e-bf38927321c5","10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2","topic":["0/Modelling/","0/Climate and climate change/","0/Hydrology/"],"version":2.0,"view":["public","dgwr"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and..."},{"publicationDate":"2022-10-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","M.","E.J. ","S.","R.","T.","Y."],"authorFamilyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"authorFullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 3x3 km2 grid for the year 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"8750607d-1e8f-4b39-a61d-f162f4552d8e","incomingCitationCount":0,"givenName":["J.","M.","Janice","E.J. ","S.","R.","T.","Y."],"familyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"fullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"keyword":["EMEP4UK","EMEP","UK-SCAPE","Pollution","Mapping","Modelling","Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"keywordsProject":["EMEP4UK","EMEP","UK-SCAPE"],"keywordsTheme":["Pollution","Mapping","Modelling"],"keywordsOther":["Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8750607d-1e8f-4b39-a61d-f162f4552d8e","10.5285/8750607d-1e8f-4b39-a61d-f162f4552d8e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Liu, Z., Berner, J., Wang, W., Powers, J.G., Duda, M.G., Barker, D.M., & Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4. UCAR/NCAR.","National Centers For Environmental Prediction/National Weather Service/NOAA/U.S. Department Of Commerce. (2000). NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 [Data set]. UCAR/NCAR - Research Data Archive."],"supplementalName":["The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"title":" European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of..."},{"publicationDate":"2025-05-02T00:00:00.000+00:00","authorAffiliation":["University of Stirling"],"authorGivenName":["L","H","R","M","C"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorOrcid":["https://orcid.org/0000-0003-2530-2120"],"catalogue":"eidc","description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V005847/1"],"identifier":"0bfdfa23-15f8-4ffd-b1dc-e77178af0304","incomingCitationCount":0,"givenName":["Luke","L","H","R","M","C"],"familyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"keyword":["Environmental risk","Pollution","Soil","Water quality","plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsTheme":["Environmental risk","Pollution","Soil","Water quality"],"keywordsOther":["plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"licence":"Open government licence","lineage":"Mesocosm experiments were designed in two stages. For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","orcid":["https://orcid.org/0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., Pow, C. J., & Quilliam, R. S. (2024). Survival and transfer potential of Salmonella enterica serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils. In Environmental Science and Pollution Research (Vol. 31, Issue 39, pp. 51353–51363). Springer Science and Business Media LLC. "],"title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony..."},{"publicationDate":"2018-08-08T00:00:00.000+00:00","authorAffiliation":["Queen Mary University of London"],"authorGivenName":["Mark"],"authorFamilyName":["Trimmer"],"authorFullName":["Trimmer, M."],"authorOrcid":["https://orcid.org/0000-0002-9859-5537"],"authorRor":["https://ror.org/026zzn846"],"catalogue":"eidc","description":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data include baseline concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O) sampled from porewater prior to injection of 15N-nitrate.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"7ded510f-3955-4b92-851d-29c0f79a0b99","incomingCitationCount":1,"givenName":["Mark"],"familyName":["Trimmer"],"fullName":["Trimmer, M."],"keyword":["Water quality","pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsTheme":["Water quality"],"keywordsOther":["pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"licence":"Open government licence","lineage":"Prior to injection of 15N-nitrate, samples of porewater were recovered to measure background concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O). \n\nConcentration of dissolved oxygen in porewater sampled prior to 15N injection. Units are micro-M. Porewater was transferred from the collection syringe to an open syringe barrel containing an oxygen sensor via a 3-way valve. O2 concentrations were measured with a fast response microelectrode (50microm tip, Unisense). Readings from the microelectrode were displayed on a pico-ammeter (PA 2000; Unisense) and logged after 4s when the signal had stabilized. Calibration was performed with a zero solution (0.1M sodium ascorbate in 0.1M sodium hydroxide) and a solution of known O2 concentration (determined via Winkler titration). Through laboratory simulation with de-oxygenated water we estimate that O2 contamination during sample transfer and measurement was 10micro-M and have subtracted this value from the data. The limit of detection was 10micro-M and the precision was 2%.\n\nO2adj percent: Saturation of dissolved oxygen expressed relative to air-equilibrated water at the temperature of the sample. Units are %. The air-equilibrated O2 concentration was calculated for each sample using the Bunsen solubility coefficient for O2 and the temperature of the sample (determined during pH measurement, see below). O2 sat = 100 x O2adj (see above) divided by the air-equilibrated O2 concentration.\n\npH of porewater sample prior to 15N injection. After the O2 concentration of the porewater was measured (see above) a calibrated pH probe (VWR 100) was placed in the solution and the temperature and pH was recorded.\n\nTemperature units are degrees centigrade.\n\nWater samples for nutrients were filtered through 0.45 micron filters (polypropylene). Samples for nutrient analysis were frozen at -20ºC before analysis.\nIn the permeable sandy sediments, nitrate reduction was measured by 'push-pull' using techniques in Lansdown et al. (2014). In the main piezometer network described in Shelley et al (2017), a tracer containing 15N-labelled nitrate (300 micro-M (M), 98 atom percent 15N) in a de-oxygenated synthetic river water plus KCl matrix was injected into the riverbed and porewater samples recovered over time (Lansdown et al. (2014)). A helium headspace was added to the water samples, the 15N-labelled N2 content was determined by mass spectrometry.\n\nData marked as 0 were below the detection limit of the method. Data marked ND were either no data collected or a sample lost.","locations":["POLYGON((0.797 51.007, 0.797 51.02, 0.821 51.02, 0.821 51.007, 0.797 51.007))"],"orcid":["https://orcid.org/0000-0002-9859-5537"],"organisation":["Queen Mary University of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7ded510f-3955-4b92-851d-29c0f79a0b99","10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Shelley, F., Klaar, M., Krause, S., & Trimmer, M. (2017). Enhanced hyporheic exchange flow around woody debris does not increase nitrate reduction in a sandy streambed. Biogeochemistry, 136(3), 353-372. ","Krause, S., Klaar, M. J., Hannah, D. M., Mant, J., Bridgeman, J., Trimmer, M., & Manning-Jones, S. (2014). The potential of large woody debris to alter biogeochemical processes and ecosystem services in lowland rivers. Wiley Interdisciplinary Reviews: Water, 1(3), 263-275.","Lansdown, K., Heppell, C. M., Trimmer, M., Binley, A., Heathwaite, A. L., Byrne, P., & Zhang, H. (2015). The interplay between transport and reaction rates as controls on nitrate attenuation in permeable, streambed sediments. Journal of Geophysical Research: Biogeosciences, 120(6), 1093-1109."],"title":"The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK)","topic":["0/Water quality/"],"version":1.0,"view":["public","shar1"],"shortenedDescription":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data..."},{"publicationDate":"2018-03-09T00:00:00.000+00:00","altTitle":["MaRIUS-G2G-MORECS-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/).\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2","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","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"licence":"Non-Open government licence","lineage":"The river flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). 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/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2","10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. "],"supplementalName":["NRFA website","Marius project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond..."},{"publicationDate":"2020-06-19T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated"],"authorGivenName":["Emma L.","E.M.","D.B.","E.","A.C."],"authorFamilyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd"],"authorFullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded daily meteorological variables over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model with daily disaggregation.\n\nThe data are provided in gridded netCDF files. There is one file for each variable for each month of the data set.\n\nThis data set supersedes the previous version as temporal coverage has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.","documentType":"GEMINI_DOCUMENT","identifier":"2ab15bf0-ad08-415c-ba64-831168be7293","incomingCitationCount":5,"givenName":["Emma L.","E.M.","D.B.","E.","A.C."],"familyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd"],"fullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C."],"keyword":["Climate and climate change","Hydrology","Modelling","downward shortwave radiation","specific humidity","wind speed","daily temperature range","downward longwave radiation","air pressure","CHESS-met","atmospheric precipitation","atmospheric humidity","air temperature"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["downward shortwave radiation","specific humidity","wind speed","daily temperature range","downward longwave radiation","air pressure","CHESS-met","atmospheric precipitation","atmospheric humidity","air temperature"],"licence":"Non-Open government licence","lineage":"This data set has been generated from a number of meteorological input data sets. The precipitation data were obtained by scaling the CEH-GEAR daily rainfall estimates to the units required for JULES input. Other variables were interpolated from coarser resolution MORECS, CRU TS and WATCH forcing data variables, taking into account topographic information. A full list of input data sources and a description of the methodology are 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/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ab15bf0-ad08-415c-ba64-831168be7293","10.5285/2ab15bf0-ad08-415c-ba64-831168be7293"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["This article cites a superseded version of this dataset."],"supplementalName":["Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data","Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015"],"title":"Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"Gridded daily meteorological variables over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2),..."},{"publicationDate":"2017-06-05T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["T.G.","P."],"authorFamilyName":["Pottinger","Matthiessen"],"authorFullName":["Pottinger, T.G.","Matthiessen, P."],"authorOrcid":["https://orcid.org/0000-0001-7661-9369"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"These data were collected from three-spined sticklebacks (Gasterosteus aculeatus L.) sampled at sites downstream of wastewater treatment works (WWTWs), and at sites with no identifiable WWTW input, in the north west of England.   For fish captured at each site, data include fish characteristics (weight, length, condition factor and sex).   Additionally, indicators of stress (whole-body concentrations of cortisol, cortisol released to water, and whole-body glucose concentrations) were quantified in order to assess the status of the stress axis in individuals immediately following capture (unstressed - baseline cortisol and glucose) and after a short period of confinement (stressed - elevated cortisol and glucose). \n\nThe data were collected as part of a study conducted to evaluate whether the complex chemical milieu present in rivers downstream of WWTWs, one of the most abundant point-sources of aquatic pollutants in UK waters, can affect the functioning of the stress axis in fish.  Sampling was conducted during 2011, 2013 and 2014 by the Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","identifier":"87281ce8-6fb3-40c8-89de-0c476d84b110","incomingCitationCount":0,"givenName":["Tom","T.G.","P."],"familyName":["Pottinger","Matthiessen"],"fullName":["Pottinger, T.","Pottinger, T.G.","Matthiessen, P."],"keyword":["Environmental survey","Pollution","Water quality","Gasterosteus aculeatus"],"keywordsTheme":["Environmental survey","Pollution","Water quality"],"keywordsOther":["Gasterosteus aculeatus"],"licence":"Open government licence","lineage":"The fish were captured with a a metal-framed 45 cm D-profile hand net, then processed and analysed at the Centre for Ecology & Hydrology, Lancaster. See supporting documentation for further information.","locations":["POLYGON((-3.113 53.298, -3.113 53.911, -1.932 53.911, -1.932 53.298, -3.113 53.298))"],"orcid":["https://orcid.org/0000-0001-7661-9369"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87281ce8-6fb3-40c8-89de-0c476d84b110","10.5285/87281ce8-6fb3-40c8-89de-0c476d84b110"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Indicators of stress in three-spined stickleback fish from downstream of wastewater treatment works in the north west of England ","topic":["0/Environmental survey/","0/Pollution/","0/Water quality/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"These data were collected from three-spined sticklebacks (Gasterosteus aculeatus L.) sampled at sites downstream of wastewater treatment works (WWTWs), and at sites with no identifiable WWTW input, in the north west of England.   For fish captured at each site, data..."},{"publicationDate":"2017-07-12T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Australian National University","University of Exeter","Marine Biological Laboratory","University of Minnesota","Columbia University","Western Sydney University","University of Canterbury","Met Office","University of Oxford"],"authorGivenName":["C.","O.K.","A.","L.M.","M.A.","A.B.","K.J.","O.S.","P.B.","K.R.","E.E.","M.","K.L.","P.","M.G.","M.H.","S.","Y."],"authorFamilyName":["Huntingford","Atkin","Martinez-de la Torre","Mercado","Heskel","Harper","Bloomfield","O'Sullivan","Reich","Wythers","Butler","Chen","Griffin","Meir","Tjoelker","Turnbull","Sitch","Wiltshire","Malhi"],"authorFullName":["Huntingford, C.","Atkin, O.K.","Martinez-de la Torre, A.","Mercado, L.M.","Heskel, M.A.","Harper, A.B.","Bloomfield, K.J.","O'Sullivan, O.S.","Reich, P.B.","Wythers, K.R.","Butler, E.E.","Chen, M.","Griffin, K.L.","Meir, P.","Tjoelker, M.G.","Turnbull, M.H.","Sitch, S.","Wiltshire, A.","Malhi, Y."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-0244-5348"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/019wvm592","https://ror.org/03yghzc09","https://ror.org/046dg4z72","https://ror.org/017zqws13","https://ror.org/00hj8s172","https://ror.org/03t52dk35","https://ror.org/03y7q9t39","https://ror.org/01ch2yn61","https://ror.org/052gg0110"],"catalogue":"eidc","description":"The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100). The spatial resolution of the data is 2.5 degrees latitude x 3.75 degrees longitude. These diagnostics are outputs from the Joint UK Land Environment Simulator (JULES land surface model) under four different approaches to calcluate leaf respiration. \n\nEach of four sets contains a total of 34 runs, each driven by a different CMIP5 model climate pattern, using the Integrated Model Of Global Effects of climatic aNomalies (IMOGEN) system. These are for a \"business-as-usual\" approach to fossil fuel usage, as the Representative Concentration Pathway scenario RCP8.5. These simulations form the basis for new research paper by Huntingford et al (2017, under review).","documentType":"GEMINI_DOCUMENT","identifier":"24489399-5c99-4050-93ee-58ac4b09341a","incomingCitationCount":1,"givenName":["Chris","C.","O.K.","A.","L.M.","M.A.","A.B.","K.J.","O.S.","P.B.","K.R.","E.E.","M.","K.L.","P.","M.G.","M.H.","S.","Y."],"familyName":["Huntingford","Atkin","Martinez-de la Torre","Mercado","Heskel","Harper","Bloomfield","O'Sullivan","Reich","Wythers","Butler","Chen","Griffin","Meir","Tjoelker","Turnbull","Sitch","Wiltshire","Malhi"],"fullName":["Huntingford, C.","Atkin, O.K.","Martinez-de la Torre, A.","Mercado, L.M.","Heskel, M.A.","Harper, A.B.","Bloomfield, K.J.","O'Sullivan, O.S.","Reich, P.B.","Wythers, K.R.","Butler, E.E.","Chen, M.","Griffin, K.L.","Meir, P.","Tjoelker, M.G.","Turnbull, M.H.","Sitch, S.","Wiltshire, A.","Malhi, Y."],"keyword":[" Joint UK Land Environment Simulator","JULES","Modelling","Large-scale respiration","global warming","carbon cycle"],"keywordsProject":[" Joint UK Land Environment Simulator","JULES"],"keywordsTheme":["Modelling"],"keywordsOther":["Large-scale respiration","global warming","carbon cycle"],"licence":"Open government licence","lineage":"The annual data are time means of the JULES fluxes, calculated every 3600 s. JULES is a Land Surface Model widely used in climate research. The JULES runs were driven by 34 different GCM climate patterns as described in the IMOGEN system. The 4 approaches for the calculation of plant respiration are:\n(i) \"standard\" - this is using the standard version of the JULES model\n(ii) \"RD25\" - this is with revised estimates of respiration at 25 degrees Celsius.\n(iii) \"RD25 plus b,c\" - this is with new 25 degrees respiration values, plus a revised temperature response across temperature ranges, dependent on two empiric parameters.\n(iv) \"RD25 plus b,c plus acclim\" - as for (iii) above, with additional temperature acclimation effects.\n\nSee supporting information accompanying this dataset for further details. ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-0244-5348"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Australian National University","University of Exeter","Marine Biological Laboratory","University of Minnesota","Columbia University","Western Sydney University","University of Canterbury","Met Office","University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24489399-5c99-4050-93ee-58ac4b09341a","10.5285/24489399-5c99-4050-93ee-58ac4b09341a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/019wvm592","https://ror.org/03yghzc09","https://ror.org/046dg4z72","https://ror.org/017zqws13","https://ror.org/00hj8s172","https://ror.org/03t52dk35","https://ror.org/03y7q9t39","https://ror.org/01ch2yn61","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"state":"published","title":"Plant Respiration Modelling with JULES for a changing climate (1860-2100)","topic":["0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100)...."},{"publicationDate":"2022-01-26T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). 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/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided..."},{"publicationDate":"2024-06-13T00:00:00.000+00:00","authorAffiliation":["University of Cambridge"],"authorGivenName":["A.C.G.","E.I.","W.","L.","E.T."],"authorFamilyName":["Knight","Stevenson","Knapp","Bridgestock","Tipper"],"authorFullName":["Knight, A.C.G.","Stevenson, E.I.","Knapp, W.","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"],"catalogue":"eidc","description":"Dissolved element concentrations, dissolved stable carbon isotope ratios (δ13C), salinity measurements, and suspended particulate matter (SPM) concentrations from the Mackenzie River and estuary. River water and SPM samples were collected between the 11th and the 18th of September 2022. Samples were taken from the surface of the water column and at depth. Individual sample locations (latitude and longitude) are provided in the data file. In total, 18 water and SPM samples were collected from 11 different localities. Samples were collected to span a large salinity range (0.15-29 P.S.U.). Dissolved element concentrations provided: aluminium, barium, calcium, iron, potassium, magnesium, manganese, sodium, sulphate, silicon, and strontium.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/T007214/1"],"identifier":"7565893d-95ec-4f89-94c5-952457820fa7","incomingCitationCount":0,"givenName":["A.C.G.","Alasdair","E.I.","W.","L.","E.T."],"familyName":["Knight","Stevenson","Knapp","Bridgestock","Tipper"],"fullName":["Knight, A.C.G.","Knight, A.","Stevenson, E.I.","Knapp, W.","Bridgestock, L.","Tipper, E.T."],"keyword":["Canada","Northwest Territories (NWT)","Mackenzie","Ecosystem services","Hydrology","Environmental survey","Water quality","Geochemistry","Aqueous","River Chemistry","Suspended Sediment","water salinity","suspended matter"],"keywordsPlace":["Canada","Northwest Territories (NWT)","Mackenzie"],"keywordsTheme":["Ecosystem services","Hydrology","Environmental survey","Water quality"],"keywordsOther":["Geochemistry","Aqueous","River Chemistry","Suspended Sediment","water salinity","suspended matter"],"licence":"Open government licence","lineage":"Salinity measurements were conducted using a ProDSS salinity probe (YSI) in-situ. Element concentrations were determined via inductively-coupled plasma optical emission spectroscopy (ICP-OES) on an Agilent 5100 at the Department of Earth Sciences (University of Cambridge). Element concentration uncertainties were determined via repeated measurements of the SPS-SW2, SLRS-6 and IAPSO standards. Suspended particulate matter (SPM) concentrations were made using the volume of water collected and the mass of dried solids. Dissolved inorganic carbon (DIC) isotope measurements were made using a Thermo Gas Bench attached to a Delta V Mass Spectrometer.","locations":["POLYGON((-134.868 68.229, -134.868 69.472, -132.918 69.472, -132.918 68.229, -134.868 68.229))"],"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","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7565893d-95ec-4f89-94c5-952457820fa7","10.5285/7565893d-95ec-4f89-94c5-952457820fa7"],"resourceStatus":"Embargoed","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722"],"state":"published","title":"Cation and suspended sediment concentrations from the Mackenzie River and Estuary, Canada, September 2022","topic":["0/Ecosystem services/","0/Hydrology/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Dissolved element concentrations, dissolved stable carbon isotope ratios (δ13C), salinity measurements, and suspended particulate matter (SPM) concentrations from the Mackenzie River and estuary. River water and SPM samples were collected between the 11th and the 18th..."},{"publicationDate":"2018-06-05T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["I.J.","J.B."],"authorFamilyName":["Winfield","James"],"authorFullName":["Winfield, I.J.","James, J.B."],"authorOrcid":["https://orcid.org/0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of estimated gonad weight and associated data on male pike (Esox lucius) from net sampling in Windermere, Cumbria.  Data collection began in 1945. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989.","documentType":"GEMINI_DOCUMENT","identifier":"c1114f67-c307-4aab-9299-95d4fbbdd53f","incomingCitationCount":1,"givenName":["I.J.","J.B."],"familyName":["Winfield","James"],"fullName":["Winfield, I.J.","James, J.B."],"keyword":["Windermere","Biodiversity","Environmental survey","Water quality","Animal behaviour","Esox lucius"],"keywordsPlace":["Windermere"],"keywordsTheme":["Biodiversity","Environmental survey","Water quality","Animal behaviour"],"keywordsOther":["Esox lucius"],"licence":"Non-Open government licence","lineage":"The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989.","locations":["POLYGON((-3.019 54.27, -3.019 54.436, -2.874 54.436, -2.874 54.27, -3.019 54.27))"],"orcid":["https://orcid.org/0000-0001-9296-5114"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1114f67-c307-4aab-9299-95d4fbbdd53f","10.5285/c1114f67-c307-4aab-9299-95d4fbbdd53f"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Windermere pike male gonad weight data (1945 to 1996)","topic":["0/Biodiversity/","0/Environmental survey/","0/Water quality/","0/Animal behaviour/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset consists of estimated gonad weight and associated data on male pike (Esox lucius) from net sampling in Windermere, Cumbria.  Data collection began in 1945. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected..."},{"publicationDate":"2018-06-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Leeds and University of Exeter","Met Office Hadley Centre","University of Exeter","University of Reading"],"authorGivenName":["E.","G.","C.","S.","A.","W.","T.","P.","N."],"authorFamilyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"authorFullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.","Burke, E.","Harper, A.","Collins, W.","Webber, C.","Powell, T.","Cox, P.","Gedney, N.","Sitch, S."],"authorOrcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/05v62cm79"],"catalogue":"eidc","description":"This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K K-1); surface relative humidity change per degree global warming (percentage of K-1); wind change per degree global warming (m s-1 K-1); longwave change per degree global warming (W m-2 K 1); shortwave change per degree global warming (W m-2 K-1); precipitation change per degree global warming (mm day-1 K-1) and pressure change per degree global warming (hPa K-1).\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75° longitude and 2.5° latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45° North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 34 GCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5) GCM ensemble.\n\nFurther information about the dataset and its derivation can be found in Comyn-Platt, E. et al. (2018). 'Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks'. Nature Geoscience. http://doi.org/10.1038/s41561-018-0174-9","documentType":"GEMINI_DOCUMENT","identifier":"343885af-0f5e-4062-88e1-a9e612f77779","incomingCitationCount":1,"givenName":["G.","E.","C.","S.","A.","W.","T.","P.","N."],"familyName":["Hayman","Comyn-Platt","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"fullName":["Hayman, G.","Comyn-Platt, E.","Huntingford, C.","Chadburn, S.","Burke, E.","Harper, A.","Collins, W.","Webber, C.","Powell, T.","Cox, P.","Gedney, N.","Sitch, S."],"keyword":["Modelling","Climate and climate change","Global Circulation Model (GCM)","Global climate-carbon cycle model ","Future climate projections ","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)","energy balance","climate","global model","carbon cycle","CMIP5 "],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["Global Circulation Model (GCM)","Global climate-carbon cycle model ","Future climate projections ","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)","energy balance","climate","global model","carbon cycle","CMIP5 "],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 34 global circulation models (GCM) of the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 5 (CMIP5) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land. \n\nThe calibration against CMIP5 models has full numerical code documentation, traceability on demand and with scripts utilising open-access software. This meets the ISO standards for numerical model building and is available on request to Chris Huntingford.\n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Leeds and University of Exeter","Met Office Hadley Centre","University of Exeter","University of Reading","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/343885af-0f5e-4062-88e1-a9e612f77779","10.5285/343885af-0f5e-4062-88e1-a9e612f77779"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Comyn-Platt, E., Hayman, G., Huntingford, C., Chadburn, S. E., Burke, E. J., Harper, A. B., … Sitch, S. (2018). Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience, 11(8), 568–573."],"title":"CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological..."},{"publicationDate":"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. 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