{"numFound":92,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FModelling%2F","results":[{"altTitle":["CHESS"],"catalogue":"eidc","description":"The Climate hydrology and ecology research support system (CHESS) provides high-resolution gridded datasets for environmental research. These datasets include data for driving land surface models and hydrological models, as well as model output. \n\nCurrently CHESS contains three datasets; CHESS-met, CHESS-PE and CHESS-land. CHESS-met consists of eight meteorological variables at 1km resolution daily from 1961-2015 over Great Britain, which can be used to drive the JULES land surface model. CHESS-PE consists of two estimates of evaporative demand over the same temporal and spatial resolution, calculated from the CHESS-met data. CHESS-land consists of a set of water, energy and carbon fluxes at 1km spatial resolution, and both daily and monthly temporal resolution, from 1961-2015 over Great Britain. CHESS-land resulted as output from an integration of the JULES land surface model driven by CHESS-met.\n","documentType":"GEMINI_DOCUMENT","identifier":"7de9790e-66a2-44b5-988e-283d764ef52f","incomingCitationCount":0,"givenName":["Emma"],"familyName":["Robinson"],"fullName":["Robinson, E."],"keyword":["Modelling","Climate and climate change"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Non-Open government licence","organisation":["Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7de9790e-66a2-44b5-988e-283d764ef52f"],"resourceStatus":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["MAJIC (Managing Access to Jules in the Cloud) is a web application that allows users to drive the JULES land-surface model with the CHESS-met dataset within a high performance computing environment over the web. "],"supplementalName":["MAJIC"],"title":"Climate hydrology and ecology research support system [CHESS]","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"The Climate hydrology and ecology research support system (CHESS) provides high-resolution gridded datasets for environmental research. These datasets include data for driving land surface models and hydrological models, as well as model output. \n\nCurrently CHESS contains..."},{"publicationDate":"2022-05-17T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["M.J.","E.L.","A.L.","R.","V.A.","E.M."],"authorFamilyName":["Brown","Robinson","Kay","Chapman","Bell","Blyth"],"authorFullName":["Brown, M.J.","Robinson, E.L.","Kay, A.L.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"authorOrcid":["https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","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 HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2020. 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). The units kg m-2 d-1 are equivalent to mm d-1.\n\nThe data are provided in gridded netCDF files. There is one file for each variable, for each calendar month.\n\nThese data were generated as part of NERC grant NE/S017380/1 (Hydro-JULES: Next generation land surface and hydrological prediction.)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S017380/1"],"identifier":"470d9bf9-8c82-487c-956e-f15f9d8aac64","incomingCitationCount":1,"givenName":["Matt","M.J.","E.L.","A.L.","R.","V.A.","E.M."],"familyName":["Brown","Robinson","Kay","Chapman","Bell","Blyth"],"fullName":["Brown, M.","Brown, M.J.","Robinson, E.L.","Kay, A.L.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"keyword":["Hydrology","Modelling","Potential evaporation","Potential evapotranspiration ","evapotranspiration","evaporation"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["Potential evaporation","Potential evapotranspiration ","evapotranspiration","evaporation"],"licence":"Open government licence","lineage":"This dataset was derived from the HadUK-Grid gridded observed meteorological dataset v1.0.3.0 at 1 km resolution over the United Kingdom for the years 1969-2020 (https://catalogue.ceda.ac.uk/uuid/4dc8450d889a491ebb20e724debe2dfb). HadUK-Grid is a gridded dataset derived from observed meteorological station data. 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.\n\nThe HadUK-Grid meteorological variables used were: daily maximum and minimum air temperature at 1.5 m (°C), daily precipitation (mm d-1), monthly mean water vapour pressure (hPa), monthly mean sea level pressure (hPa), monthly total sunshine hours (hours) and monthly mean wind speed at 10 m (m s-1). Other variables used were the surface elevation (m) and Ångström coefficients a, b and c. 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/0000-0003-1127-0279","https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","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/470d9bf9-8c82-487c-956e-f15f9d8aac64","10.5285/470d9bf9-8c82-487c-956e-f15f9d8aac64"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Potential evapotranspiration derived from HadUK-Grid gridded climate observations 1969-2020 (Hydro-PE HadUK-Grid)","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2020. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration..."},{"publicationDate":"2020-06-18T00:00:00.000+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 potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2).\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 bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.","documentType":"GEMINI_DOCUMENT","identifier":"9116e565-2c0a-455b-9c68-558fdd9179ad","incomingCitationCount":11,"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","Modelling","Hydrology","evapotranspiration"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"keywordsOther":["evapotranspiration"],"licence":"Non-Open government licence","lineage":"This data set is derived from the CHESS-met meteorological variables. The daily total potential evapotranspiration (PET; kg m-2) is calculated using a version of the Penman-Monteith equation parameterised for FAO-defined well-watered grass. The daily total potential evapotranspiration with interception correction (PETI; kg m-2), adds a correction for interception by a well-watered grass on rain days. 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/0000-0002-5052-238X","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/9116e565-2c0a-455b-9c68-558fdd9179ad","10.5285/9116e565-2c0a-455b-9c68-558fdd9179ad"],"resourceStatus":"Superseded","resourceType":"Dataset","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 potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE]","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"Gridded potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential..."},{"publicationDate":"2018-03-08T00:00:00.000+00:00","altTitle":["MaRIUS-G2G-Oudin-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1891 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/).\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d","incomingCitationCount":3,"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"keyword":["Great Britain","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"licence":"Non-Open government licence","lineage":"The river flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; doi:10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; doi:10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation derived from 5km temperature data (Perry and Hollis, 2005, doi:10.1002/joc.1161) using the method of Oudin et al. (2005; https://doi.org/10.1016/j.jhydrol.2004.08.026). See Supporting Information for more details.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d","10.5285/0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. ","Website for the National River Flow Archive, with list of gauging stations","Marius project website"],"supplementalName":["NRFA website","Marius project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1891 to 2015...."},{"publicationDate":"2024-09-10T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","Cranfield University"],"authorGivenName":["David","A."],"authorFamilyName":["Haro Monteagudo","Momblanch Benavent"],"authorFullName":["Haro Monteagudo, D.","Momblanch Benavent, A."],"authorOrcid":["https://orcid.org/0000-0002-7885-8248","https://orcid.org/0000-0003-3165-4691"],"authorRor":["https://ror.org/016476m91","https://ror.org/05cncd958"],"catalogue":"eidc","description":"This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater, land cover, crop coefficients population and GDP, and water demands for irrigation, livestock, industry, and domestic sectors.\n\nCWatM is a distributed hydrological model simulating the water cycle at global and local levels maintained by IIASA BNR Water Security group. The model was used to assess water supply and demand, and environmental needs, including water management and human influence within the water cycle in the Ebro River basin.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W004550/1"],"identifier":"468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","incomingCitationCount":0,"givenName":["David","A."],"familyName":["Haro Monteagudo","Momblanch Benavent","Haro  Monteagudo"],"fullName":["Haro Monteagudo, D.","Momblanch Benavent, A.","Haro  Monteagudo, D."],"keyword":["Spain","Ebro","Hydrology","Modelling","CWatM","distributed model","water management"],"keywordsPlace":["Spain","Ebro"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["CWatM","distributed model","water management"],"licence":"Open government licence","lineage":"The input data came from a variety of sources. Elevation and land cover data and flow direction maps came from Copernicus. The river routing data came from European Digital Elevation Model (v1.1). Lakes and reservoir data were obtained from the HydroLakes database. Soil hydraulic properties were from Dai et al., (2019). Groundwater data were from Global Hydrogeology MaPS (GLHYMPS). Crop co-efficients were from MIRCA2000. Data relating to water demand were from a range of published literature (e.g., KleinGoldewijk et al., 2017, Wriedt et al., 2009, Steinfeld et al., 2006, Gleick et al, 2009, Pastor et al., 2014). The specific details and sources of the input data are explained in more detail in the Readme.docx file included in this dataset.\n\nAll the datasets were projected and cropped for the area of study and resampled to a 1x1 km2 grid prior to running the model.\n\nThis CWatM model of the Ebro basin was developed by Dr David Haro Monteagudo from the University of Aberdeen in collaboration with Dr Andrea Momblanch Benavent from Cranfield University and the technical assistance of Dr Mikhail Smilovic and Dr Peter Burek from IIASA (Austria).\n","locations":["POLYGON((-4.46 40.54, -4.46 43.15, 2.46 43.15, 2.46 40.54, -4.46 40.54))"],"orcid":["https://orcid.org/0000-0002-7885-8248","https://orcid.org/0000-0003-3165-4691"],"organisation":["University of Aberdeen","Cranfield University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","10.5285/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/05cncd958","https://ror.org/04xw4m193"],"state":"published","title":"Input data and settings for running a Community Water Model (CWatM) of the Ebro River basin, Spain, 1990-2012","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater,..."},{"publicationDate":"2015-05-13T00:00:00.000+00:00","altTitle":["MultiMOVE Version 2.0.1","MultiMOVE: A Package of niche models for British vegetation v.2.0.1"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorGivenName":["P.A.","A.","S.G.","S.M.","Z."],"authorFamilyName":["Henrys","Butler","Jarvis","Smart","Fang"],"authorFullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 3.1.2 and depends on R packages 'leaps', 'earth', 'fields', 'mgcv', 'stringr', 'gsubfn', 'randomForest' and 'nnet'. ","documentType":"GEMINI_DOCUMENT","identifier":"94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","incomingCitationCount":3,"givenName":["Pete","P.A.","A.","S.G.","S.M.","Z."],"familyName":["Henrys","Butler","Jarvis","Smart","Fang"],"fullName":["Henrys, P.","Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"keyword":["Great Britain","Modelling","Vegetation science","ecology"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling"],"keywordsOther":["Vegetation science","ecology"],"licence":"Open government licence","lineage":"Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Random Forests (RF) (Liaw and Wiener, 2002) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Neural Networks (NNet) (Venables and Ripley, 2002) Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6875999999999998 60.85, 2.6875999999999998 49.837, -9.227 49.837))"],"orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-2750-7832"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Model code","resourceIdentifier":["1431527379383","10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","https://catalogue.ceh.ac.uk/id/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9"],"resourceStatus":"Available","resourceType":"Application","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"MultiMOVE Model: Ensemble niche modelling of British vegetation v2.0.1","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from..."},{"publicationDate":"2024-01-15T00:00:00.000+00:00","authorAffiliation":["University of Hull","Bangor University","University of Edinburgh"],"authorGivenName":["G.","P.E.","N."],"authorFamilyName":["Vasilopoulos","Robins","Chien"],"authorFullName":["Vasilopoulos, G.","Robins, P.E.","Chien, N."],"authorOrcid":["https://orcid.org/0000-0001-9503-9845"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/006jb1a24","https://ror.org/01nrxwf90"],"catalogue":"eidc","description":"The Digital Elevation Model (DEM) domain includes the tidally influenced Conwy estuary, downstream of the Cwmlanerch river gauge on the River Conwy and extending offshore into Conwy Bay and the Menai Strait at the coastal boundary. A number of sources were combined to generate the land elevation data, including (a) seabed bathymetry, (b) land elevations and (c) location and heights of existing flood defences. The domain topography was based on the marine DEM, Lidar Digital Terrain Model (DTM) and Ordnance Survey Terrain 5m DTM. The Lidar DTM data was used to check and, where necessary, augment the flood defences vector database. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V004239/1"],"identifier":"7217e6c0-46c7-4f87-bc36-589f884d3b02","incomingCitationCount":0,"givenName":["P.E.","G.","N."],"familyName":["Robins","Vasilopoulos","Chien"],"fullName":["Robins, P.E.","Vasilopoulos, G.","Chien, N."],"keyword":["Modelling","coast","estuary","Digital Elevation Model","digital land model"],"keywordsTheme":["Modelling"],"keywordsOther":["coast","estuary","Digital Elevation Model","digital land model"],"licence":"Open government licence","lineage":"a) Seabed bathymetry for the Menai Strait, Conwy Bay and the mouth of the Conwy estuary extending upstream to the Conwy Bridge were obtained from marine Digital Elevation Models (DEMs) distributed by OceanWise and made available through Digimap. These marine DEMs consist of bed elevations measured with single- and multibeam sonar sensors and converted into raster tiles of 1 arc second horizontal resolution. They are referenced to the WGS 1984 coordinate system and the recorded bathymetry is referenced to the local Chart Datum at Llandudno.\nb) The majority of land elevations for this catchment (73%) have been surveyed by Natural Resources Wales (NRW) using Light Detection and Ranging (Lidar) technology through a series of aerial surveys spanning multiple years (2016-2020). The composite-derived Digital Terrain and Surface Models (DTMs and DSMs, respectively) were obtained from Digimap. The raster tiles have 1 m resolution, are projected to the British National Grid and the elevations are referenced to the national Ordnance Survey vertical datum at Newlyn. The difference between DTMs and DSMs is that the former represents earth terrain and as such has all ‘above-surface’ features (e.g. vegetation, human-made structures) removed, which are included in the latter.\nElevation data for the remaining land areas not covered by the Lidar-based composites (27%) were extracted from the Ordnance Survey Terrain 5 m DTM also available through Digimap. This lower-resolution dataset has national coverage and consists of elevation data obtained from multiple sources including airborne Lidar, photogrammetry and field surveys. The data are provided as raster tiles of 5 m resolution projected to the British National Grid with elevations referenced to the national Ordnance Survey vertical datum at Newlyn.\nc) Locations and heights of flood defences were obtained from the NRW data catalogue. These data consist of vector shapefiles projected to the British National Grid with polylines detailing the location of flood defences including information on the type of defence (e.g. wall, embankment) and the height of the crest above the terrain in metres.\nAll spatial data outlined above were imported into ArcGIS Pro 3.0 and processed to generate the DEM. Individual raster files pertaining to the various datasets outlined above were mosaiced into a single raster tile and resampled to 5 m resolution using a bilinear interpolation method. \n","locations":["POLYGON((-3.949 53.089, -3.949 53.353, -3.676 53.353, -3.676 53.089, -3.949 53.089))"],"orcid":["https://orcid.org/0000-0001-9503-9845"],"organisation":["Bangor University","University of Hull","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7217e6c0-46c7-4f87-bc36-589f884d3b02","10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04nkhwh30","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"state":"published","title":"Digital Elevation Model (DEM) data for the Conwy estuary, Wales","topic":["0/Modelling/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"The Digital Elevation Model (DEM) domain includes the tidally influenced Conwy estuary, downstream of the Cwmlanerch river gauge on the River Conwy and extending offshore into Conwy Bay and the Menai Strait at the coastal boundary. A number of sources were combined..."},{"publicationDate":"2024-06-17T00:00:00.000+00:00","authorAffiliation":["Newcastle University"],"authorGivenName":["D."],"authorFamilyName":["Pritchard"],"authorFullName":["Pritchard, D."],"authorOrcid":["https://orcid.org/0000-0002-9215-7210"],"authorRor":["https://ror.org/01kj2bm70"],"catalogue":"eidc","description":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential evapotranspiration (mm) at hourly or longer timesteps.\n\nRWGEN can be used for single site or spatial simulations of historical/reference or perturbed/future climate. The model version in this dataset is a snapshot of the RWGEN Github repository, which contains new releases and developments: https://github.com/rwgen1/rwgen.\n\nThe observational climate inputs consist of historical hourly rainfall and daily weather time series for selected UK Met Office (UKMO) station locations. The historical time series are derived from the UKMO Met Office Integrated Data Archive System (MIDAS) Open datasets for the period 1853 to 2020. These time series can be used to train the RWGEN model for UK locations or catchments. Note that the data coverage is not consistent throughout the 1853-2020 period, with lower data availability prior to the mid-twentieth century. A user may also choose to use alternative data for model input.\n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W007037/1"],"identifier":"44c577d3-665f-40de-adce-74ecad7b304a","incomingCitationCount":0,"givenName":["D.","David"],"familyName":["Pritchard"],"fullName":["Pritchard, D."],"keyword":["Climate and climate change","Modelling","RWGEN","stochastic","model","rainfall","precipitation","weather","temperature","potential evapotranspiration","python"],"keywordsTheme":["Climate and climate change","Modelling"],"keywordsOther":["RWGEN","stochastic","model","rainfall","precipitation","weather","temperature","potential evapotranspiration","python"],"licence":"Open government licence","lineage":"The model was developed within the UK Research and Innovation (UKRI)/UKMO UK Climate Resilience Programme as part of project NE/W007037/1. The model is provided as a Python package, with installation instructions, examples and documentation. The rainfall component of the model is based on the Neyman-Scott Rectangular Pulse process. The weather and potential evapotranspiration component is based on a regression model. It has been tested against other software (RainSim V3) and against observations (although like all models it has limitations and prospective users should ensure that the model is fit-for-purpose in their applications).\n\nThe historical climate time series were obtained by extracting data from the quality-controlled version (qc1) of the UKMO MIDAS-Open data collection. Further spot checks were undertaken to confirm that the extraction, processing and reformatting appear to have worked satisfactorily.\n\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/0000-0002-9215-7210"],"organisation":["Newcastle University","NERC EDS Environmental Information Data Centre"],"recordType":"Model code","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/44c577d3-665f-40de-adce-74ecad7b304a","10.5285/44c577d3-665f-40de-adce-74ecad7b304a"],"resourceStatus":"Available","resourceType":"Application","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"state":"published","title":"Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential..."},{"publicationDate":"2019-10-29T00:00:00.000+00:00","authorAffiliation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham"],"authorGivenName":["P.","Andrew","D.","G."],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"catalogue":"eidc","description":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. DSMs were generated as part of NERC project NE/L00738X/1. DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L00738X/1"],"identifier":"13695138-227f-4d85-9049-0a9cba9e1867","incomingCitationCount":1,"givenName":["P.","Andrew","D.","G."],"familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"keyword":["Canada ","Saskatchewan River","Modelling","digital land model","Digital Surface Models"],"keywordsPlace":["Canada ","Saskatchewan River"],"keywordsTheme":["Modelling"],"keywordsOther":["digital land model","Digital Surface Models"],"licence":"Open government licence","lineage":"DSMs were constructed to provide information on the morphology or the river, and changes in morphology through time (e.g. due to erosion and deposition of sediment). DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates. \n\nThe DSM was constructed from photogrammetric quality aerial plane images with a 0.06m ground resolution that were captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. The DSM was constructed from the images using a three stage process:\n\n(1) An orthomosaic was generated from the aerial photography (using up to 160 images) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the 'large frame' supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. A point cloud was then derived following the bundle adjustment.\n\n(2) The point cloud was checked for residual tilt using a network of Ground Control Points with coordinates that were determined by RTK differential GPS survey. The corrected point cloud density was reduced to a resolution of 0.5 m and the resulting dataset was filtered in MATLAB using a Chauvenet-type criterion. This procedure was implemented to derive the DSM in dry (non-submerged) areas of the river.\n\n(3) In wet (submerged) areas, bed elevations were derived using a depth-brightness model as follows. First, water surface elevations at the interface between wet and dry areas of the river bed were extracted from the corrected point cloud and interpolated to generate a water surface elevation field for the submerged bed areas. Second, water depth measurements made at the time of image acquisition were located on the orthomosaic of the river, and pixel brightness values were extracted at these locations. A log-linear regression between water depth and pixel brightness was then derived, and this relationship was used to model water depth for all sub-merged bed areas. Bed elevations in these areas were determined by subtracting the predicted depth from the water surface elevation. The final DSM was derived by combining elevation values for the dry and wet bed areas.\n","locations":["POLYGON((-107 51.5, -107 51.6, -107.1 51.6, -107.1 51.5, -107 51.5))"],"orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/13695138-227f-4d85-9049-0a9cba9e1867","10.5285/13695138-227f-4d85-9049-0a9cba9e1867"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Digital Surface Models for the South Saskatchewan River, Canada","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing..."},{"publicationDate":"2024-10-09T00:00:00.000+00:00","authorAffiliation":["University of Exeter"],"authorGivenName":["D.J."],"authorFamilyName":["Baker"],"authorFullName":["Baker, D.J."],"authorOrcid":["https://orcid.org/0000-0002-0466-8222"],"catalogue":"eidc","description":"The speciesRecordTools R package contains functions for examining the distribution of species records, understanding sampling trends and potential biases, and building correlative presence-background species distribution models for prediction of the distribution of species across the landscape. The package is built to work with the Environmental Record Centre for Cornwall and the Isles of Scilly's (ERCCIS) opportunistic species records.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V007726/1"],"identifier":"030b49f4-9e1f-46e9-ad98-157d8668a517","incomingCitationCount":0,"givenName":["D.J."],"familyName":["Baker"],"fullName":["Baker, D.J."],"keyword":["Biodiversity","Modelling","opportunistic records","spatial sampling bias","presence-background models","species distribution"],"keywordsTheme":["Biodiversity","Modelling"],"keywordsOther":["opportunistic records","spatial sampling bias","presence-background models","species distribution"],"licence":"Open government licence","lineage":"Code supplied here can be used to analyse data held by ERCCIS (Cornwall Wildlife Trust). The data is not included in the package but can be requested https://erccis.org.uk/requesting-data. The tools provided in this package were designed in collaboration with ERCCIS to overcome some of the limitations associated with these data when used to map the distribution of species. In particular, the methods attempt to address sparse sampling and spatial sampling bias associated with sampling for many species. Distribution data is required to support planning decisions and local nature recovery strategies within the region. ","locations":["POLYGON((-6.757 49.504, -6.757 51.052, -4.043 51.052, -4.043 49.504, -6.757 49.504))"],"orcid":["https://orcid.org/0000-0002-0466-8222"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"recordType":"Model code","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/030b49f4-9e1f-46e9-ad98-157d8668a517","10.5285/030b49f4-9e1f-46e9-ad98-157d8668a517"],"resourceStatus":"Available","resourceType":"Application","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Tools for modelling species distributions using data from the Environmental Record Centre for Cornwall and the Isles of Scilly (ERCCIS)","topic":["0/Biodiversity/","0/Modelling/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"The speciesRecordTools R package contains functions for examining the distribution of species records, understanding sampling trends and potential biases, and building correlative presence-background species distribution models for prediction of the distribution of..."},{"publicationDate":"2016-10-10T00:00:00.000+00:00","authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorGivenName":["P.","C.","L.M.","N."],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"catalogue":"eidc","description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"givenName":["Chris","P.","C.","L.M.","N."],"familyName":["Huntingford","Zelazowski","Mercado","Schaller"],"fullName":["Huntingford, C.","Zelazowski, P.","Mercado, L.M.","Schaller, N."],"keyword":["Modelling","Climate and climate change","IMOGEN"," Global Circulation Model","GCM","Global climate-carbon cycle model","Future climate projections","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["IMOGEN"," Global Circulation Model","GCM","Global climate-carbon cycle model","Future climate projections","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/039bjqg32","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving  the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological..."},{"publicationDate":"2021-10-14T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["P.","V.A.","H.N.","A.L."],"authorFamilyName":["Rameshwaran","Bell","Davies","Kay"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"authorOrcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0002-5526-1756"],"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° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or \"HMF-WA\" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) 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.\n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M020428/1"],"identifier":"6429828f-6a06-4d2d-8f50-4910b18f7ff4","incomingCitationCount":1,"givenName":["Ponnambalam","P.","V.A.","H.N.","A.L."],"familyName":["Rameshwaran","Bell","Davies","Kay"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"keyword":["West Africa","Climate and climate change","Hydrology","Modelling","African Monsoon Multidisciplinary Analysis AMMA"],"keywordsPlace":["West Africa"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["African Monsoon Multidisciplinary Analysis AMMA"],"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 CMIP5 daily precipitation and potential evaporation derived from bias-corrected CMIP5 daily temperature data (near-surface air temperature and daily maximum and minimum surface air temperature). See Supporting Information for more details.","locations":["POLYGON((-18 3, -18 26, 25 26, 25 3, -18 3))"],"orcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0002-5526-1756"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6429828f-6a06-4d2d-8f50-4910b18f7ff4","10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The AMMA-2050 project was a United Kingdom’s Natural Environment Research Council (NERC)/Department for International Development (DFID) Future Climate for Africa (FCFA) initiative to address the challenges of understanding how the monsoon will change in future decades, and how this information can be most effectively used to support climate-compatible development in the region.","RAMESHWARAN, P., BELL, V. A., DAVIES, H. N. & KAY, A. L. submitted. How might climate change affect river flows across West Africa? Climatic Change."],"supplementalName":["AMMA-2050 project"],"title":"Historical (1950-2005) and projected (2006-2099) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP5 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"],"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° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099)..."},{"publicationDate":"2017-06-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["M."],"authorFamilyName":["Vieno"],"authorFullName":["Vieno, M."],"authorOrcid":["https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations of: nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5), ammonia (NH3), nitric acid (HNO3), sulphur dioxide (SO2), ammonium (NH4+), nitrate (NO3-), sulphate (SO42-), PM2.5 organic matter, and ground level ozone (O3).\n\nThe EMEP4UK model framework consists of an atmospheric chemistry transport model (ACTM) which simulates hourly to annual average atmospheric composition and deposition of various pollutants and the weather research and forecast model (WRF). Pollutants simulated include fine particulate matter (PM10, PM2.5), secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulphur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOx), and ground level ozone (O3). Dry and wet deposition of pollutants are also generated by the EMEP4UK. WRF is used to calculate the required meteorological input data for the ACTM.\n\nThe version of EMEP4UK used to model the 2001-2014 dataset available here is based on the EMEP Meteorological Synthesizing Centre West (MSC-W) model version rv4.4.\n\nA  version of this dataset, calculated using the EMEP model version rv4.17 and the WRF model version 3.7.1 is available at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8\n\nNotes:\nOnly the simulations for the years between 2002-2012 include data for from forest fire.\nThe emissions used for simulating the years 2013 and 2014 are the same as the year 2012 (updated date will be made available as soon as 2013 and 2014 national emission inventory data have been processed).\nThe calculated year 2001-2012 use a different version of the WRF model, moreover for the year 2013 and 2014 the WRF model setup was changed as the specific Humidity is no longer nudged with re-analysis in the WRF simulation.\n\nAcknowledgements required (third-party datasets used to drive the model): The WRF model calculated meteorology uses the dataset from NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. (http://www.wrf-model.org/). 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. (http://doi.org/10.5065/D6M043C6). Emissions data from the EMEP emissions center (www.emep.int), and NAEI web site (http://naei.defra.gov.uk).","documentType":"GEMINI_DOCUMENT","identifier":"39c6e02f-11ee-44d5-b587-b225f1a99bc8","incomingCitationCount":0,"givenName":["Massimo","M."],"familyName":["Vieno"],"fullName":["Vieno, M."],"keyword":["Pollution","Climate and climate change","Modelling","Environmental risk","ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsTheme":["Pollution","Climate and climate change","Modelling","Environmental risk"],"keywordsOther":["ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"licence":"Open government licence","lineage":"The UK Automatic Urban and Rural monitoring Network (AURN) hourly data are used to verify the EMEP4UK model output:\n\nVieno, M., Dore, A. J., Stevenson, D. S., Doherty, R., Heal, M. R., Reis, S., Hallsworth, S., Tarrason, L., Wind, P., Fowler, D., Simpson, D., and Sutton, M. A.: Modelling surface ozone during the 2003 heat-wave in the UK, Atmospheric Chemistry and Physics, 10, 7963-7978 https://doi.org/10.5194/acp-10-7963-2010, 2010\n\nVieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK pm2.5, Atmos. Chem. Phys., 16, 265-276 https://doi.org/10.5194/acp-16-265-2016, 2016.\n\nThe UK Acid Gases and Aerosols Network (AGANet) monthy data are also used to verify the EMEP4UK model output:\n\nVieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447 https://doi.org/10.5194/acp-14-8435-2014, 2014\n\nThe EMEP4UK model have been evaluated against other models in the Defra organised model inter-comparison:\n\nCarslaw, D. C.: Report: Defra deposition model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=652, access 01/04/2015, 2011.\nCarslaw, D. C.: Report: Defra regional and transboundary model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=653, access 01/04/2015, 2011.\n\nThe EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated in EU: www.emep.int\n\nNo further QA/QC is carried out.","locations":["POLYGON((-11.637 49.007, -11.637 61.37, 4.932 61.37, 4.932 49.007, -11.637 49.007))"],"orcid":["https://orcid.org/0000-0001-7741-9377"],"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/39c6e02f-11ee-44d5-b587-b225f1a99bc8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated"],"title":"The EMEP4UK modelled daily atmospheric composition","topic":["0/Pollution/","0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations..."},{"publicationDate":"2022-05-18T00:00:00.000+00:00","authorAffiliation":["Air Quality Management Resource Centre","University of Leicester","UK Health and Security Agency","Imperial College London","Cranfield University","University of Plymouth","The Open University"],"authorGivenName":["E.T.","A.","P.","B.","S.","Z.","C.","T."],"authorFamilyName":["Hayes","Hansell","Douglas","Roca-Barcelo","Williams","Tyrell","Jackson","Nasar","Rolph","Khera","Bennett","Gladding"],"authorFullName":["Hayes, E.T.","Hansell, A.","Douglas, P.","Roca-Barcelo, A.","Williams, B.","Tyrell, S.","Jackson, S.","Nasar, Z.","Rolph, C.","Khera, S.","Bennett, A.","Gladding, T."],"authorRor":["https://ror.org/02nwg5t34","https://ror.org/04h699437","https://ror.org/041kmwe10","https://ror.org/05cncd958","https://ror.org/008n7pv89","https://ror.org/05mzfcs16"],"catalogue":"eidc","description":"These files represent the model build used to generate postcode level concentrations to estimate Aspergillus fumigatus exposure from outdoor composting activities in England between 2005 and 2014. Each file, named after the nearest SCAIL-Agriculture validated meteorological station used to model the outputs, contains modelled concentrations at composting sites within 4km of each composting site. These files, presented as.txt, are the .APL files used to model bioaerosol dispersion from every composting site in England, using ADMS 5. To use this file, please convert the .txt file extension to .APL and upload into ADMS. From there, press run. Model runs are likely to generate over 40GB of data per model run.\n\nThe work was supported by the Natural Environment Research Council grants ((NE/P010806/1 and NE/M011631/1).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M011631/1","NE/P010806/1"],"identifier":"9f1b307b-9b47-4a11-8e5b-e14008ad0032","incomingCitationCount":0,"givenName":["E.T.","A.","P.","B.","S.","Z.","C.","T."],"familyName":["Hayes","Hansell","Douglas","Roca-Barcelo","Williams","Tyrell","Jackson","Nasar","Rolph","Khera","Bennett","Gladding"],"fullName":["Hayes, E.T.","Hansell, A.","Douglas, P.","Roca-Barcelo, A.","Williams, B.","Tyrell, S.","Jackson, S.","Nasar, Z.","Rolph, C.","Khera, S.","Bennett, A.","Gladding, T."],"keyword":["Modelling","Bioaerosols","ADMS","Aspergillus fumigatus","modelling","aerosol"],"keywordsTheme":["Modelling"],"keywordsOther":["Bioaerosols","ADMS","Aspergillus fumigatus","modelling","aerosol"],"licence":"Open government licence","lineage":"The model build is derived from inputs from academic literature (for particulate matter), meteorological information (BADC) and the authors considerations of site operating hours.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"organisation":["Air Quality Management Resource Centre","University of Leicester","UK Health and Security Agency","Imperial College London","Cranfield University","University of Plymouth","The Open University","NERC EDS Environmental Information Data Centre","University of the West of England"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f1b307b-9b47-4a11-8e5b-e14008ad0032","10.5285/9f1b307b-9b47-4a11-8e5b-e14008ad0032"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of the West of England"],"ror":["https://ror.org/02nwg5t34","https://ror.org/04h699437","https://ror.org/041kmwe10","https://ror.org/05cncd958","https://ror.org/008n7pv89","https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"state":"published","title":"Estimated Aspergillus fumigatus concentrations at postcode level within close proximity of outdoor composting facilities in England, 2005-2014","topic":["0/Modelling/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"These files represent the model build used to generate postcode level concentrations to estimate Aspergillus fumigatus exposure from outdoor composting activities in England between 2005 and 2014. Each file, named after the nearest SCAIL-Agriculture validated meteorological..."},{"publicationDate":"2022-08-30T00:00:00.000+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 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence, and annual minima of 7-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.\n\nThere is one file for each variable and ensemble member. To 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 and c) a 1km x 1km grid identifying majority lake cells.\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":"76057b0a-b18f-496f-891c-d5b22bd0b291","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":["Hydrology","Modelling","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Northern Ireland","River flow","UK-SCAPE"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["Annual minimum","Annual maximum","Grid-to-Grid","G2G","Northern Ireland","River flow","UK-SCAPE"],"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, 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 derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"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/76057b0a-b18f-496f-891c-d5b22bd0b291","10.5285/76057b0a-b18f-496f-891c-d5b22bd0b291"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Kay, A.L., Davies, H.N., Lane, R. A., Rudd, A.C., & Bell, V.A. (2021). Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes. In Journal of Hydrology: Regional Studies (Vol. 38, p. 100967). Elsevier BV."],"supplementalName":["UKSCAPE"],"title":"Grid-to-Grid model estimates of river flow for Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2","topic":["0/Hydrology/","0/Modelling/"],"version":2.0,"view":["public","phtr"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence,..."},{"publicationDate":"2011-08-01T00:00:00.000+00:00","altTitle":["Rainf WFD GPCC","Rainfall WFD GPCC"],"catalogue":"eidc","description":"The WATCH forcing data (WFD) is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. \n\nIt was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or dat formats. The data covers land points only and excludes the Antarctica.  Rainf or rainfall rate is the rainfall rate based on the Global Precipitation Climatology Centre (GPCC) bias corrected, undercatch corrected measured in kg/m2/s at 3 hourly resolution averaged over the next 3 hours and at 0.5 x 0.5 degrees spatial resolution. Please note that there is also a WFD Rainf CRU bias corrected dataset, but as the GPCC dataset is the preferred dataset only this rainfall dataset is available from the EIDC. These rainfall datasets contain rainfall data only and need to be combined with the respective WFD snowfall datasets to obtain precipitation data.","documentType":"GEMINI_DOCUMENT","identifier":"6b7caa4f-4e35-4c79-aa8e-2e065234a14a","incomingCitationCount":0,"givenName":["Tanya"],"familyName":["Warnaars"],"fullName":["Warnaars, T."],"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["Land surface modelling","meteorology","hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315215051950","https://catalogue.ceh.ac.uk/id/6b7caa4f-4e35-4c79-aa8e-2e065234a14a"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Österle, H., … Best, M. (2011). Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. Journal of Hydrometeorology, 12(5), 823–848"],"title":"WATCH Forcing Data (WFD) - 20th Century Rainf GPCC (Rainfall GPCC) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"The WATCH forcing data (WFD) is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. \n\nIt was generated as part of the EU FP 6 project..."},{"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":"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. 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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). 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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":"2021-08-27T00:00:00.000+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 1km grid over Northern Ireland for the period Dec 1980 - Nov 2011. 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