{"numFound":77,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F&facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FModelling%2F&facet=recordType%7CDataset","results":[{"publicationDate":"2017-02-07T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","E.","D.B.","J.","A.C."],"authorFamilyName":["Robinson","Blyth","Clark","Comyn-Platt","Finch","Rudd"],"authorFullName":["Robinson, E.L.","Blyth, E.","Clark, D.B.","Comyn-Platt, E.","Finch, J.","Rudd, A.C."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"1km resolution gridded meteorological variables over Great Britain for the years 1961-2015. 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 [1] with daily disaggregation.\n\nThe precipitation data were obtained by scaling the Gridded estimates of daily and monthly areal rainfall (CEH-GEAR) daily rainfall estimates [2,3] to the units required for JULES input. Other variables were interpolated from coarser resolution datasets, taking into account topographic information.\n\nThis release supersedes the previous version [4], doi:10.5285/10874370-bc58-4d23-a118-ea07df8a07f2, as it corrects errors in the air pressure and daily temperature range files for 2013-2015.\n\n[1] Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes, Geoscientific Model Development, 4, 677-699. https://doi.org/10.5194/gmd-4-677-2011, 2011.\n[2] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca\n[3] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015. \n[4] Robinson, E.L., Blyth, E., Clark, D.B., Comyn-Platt, E., Finch, J. , Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2 ","documentType":"GEMINI_DOCUMENT","identifier":"b745e7b1-626c-4ccc-ac27-56582e77b900","incomingCitationCount":23,"givenName":["Emma","E.L.","E.","D.B.","J.","A.C."],"familyName":["Robinson","Blyth","Clark","Comyn-Platt","Finch","Rudd"],"fullName":["Robinson, E.","Robinson, E.L.","Blyth, E.","Clark, D.B.","Comyn-Platt, E.","Finch, J.","Rudd, A.C."],"keyword":["Great Britain ","Climate and climate change","Modelling","gridded data","rainfall","specific humidity","wind speed","longwave radiation","shortwave radiation","air pressure","atmospheric precipitation","wind","atmospheric humidity","air temperature","rain"],"keywordsPlace":["Great Britain "],"keywordsTheme":["Climate and climate change","Modelling"],"keywordsOther":["gridded data","rainfall","specific humidity","wind speed","longwave radiation","shortwave radiation","air pressure","atmospheric precipitation","wind","atmospheric humidity","air temperature","rain"],"licence":"Non-Open government licence","lineage":"The precipitation was obtained by scaling the daily rainfall estimates from the CEH-Gridded Estimates of Areal Rainfall (CEH-GEAR) dataset [1,2] to units of kg m-2 s-1. The Met Office Rainfall Evaporation Calculation System (MORECS) [3,4] air temperature and vapour pressure, and hours of bright sunshine were interpolated to 1km resolution, then corrected for the local topography using the Integrated Hydrological Digital Terrain Model (IHDTM) [5] to find the CHESS-met air temperature (K), specific humidity (kg kg-1) and downward long- and shortwave radiation (W m-2). The wind speed (m s-1) was found by interpolating the MORECS wind speed, then correcting for topography using the UK Energy Technology Support Unit (ETSU) average wind speed dataset [6,7]. The daily temperature range (K) was reprojected from the CRU TS 3.21 (1961-2012) and CRU TS 3.24 (2013-2015) monthly data [8,9]. The air pressure (Pa) was found by calculating a climatology of the WATCH Forcing Data (WFD) air pressure [10], then correcting for topography using the IHDTM. The data were created using software developed in Fortran 95 and python.\n\nThis version of the CHESS-met dataset corrects errors in the previous version [11], which were:\n    a) surface air pressure files for 2013-2015 had incorrect time coordinate variable\n    b) daily temperature range values for 2013-2015 were erroneous due to a binary conversion error\n\nThese errors have been corrected in this release. All other files remain unchanged.\n\n[1] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca\n[2] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015. \n[3] Thompson, N., Barrie, I. A., and Ayles, M.: The Meteorological Office rainfall and evaporation calculation system: MORECS, Meteorological Office, Bracknell, 1981.\n[4] Hough, M. N., and Jones, R. J. A.: The United Kingdom Meteorological Office rainfall and evaporation calculation system: MORECS version 2.0-an overview, Hydrology and Earth System Sciences, 1, 227-239, 10.5194/hess-1-227-1997, 1997.\n[5] Morris, D. G., and Flavin, R. W.: A digital terrain model for hydrology., Proceedings of the 4th International Symposium on Spatial Data Handling, 1, 250-262, 1990.\n[6] Newton, K., and Burch, S. F.: Estimation of the UK wind energy resource using computer modelling techniques and map data, Energy Technology Support Unit, 50, 1985.\n[7] Burch, S. F., and Ravenscroft, F.: Computer modelling of the UK wind energy resource: Final overview report., AEA Industrial Technology, 1992.\n[8] CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2012). 2013.\n[9] Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset, International Journal of Climatology, 34, 623-642, https://doi.org/10.1002/Joc.3711, 2014.\n[10] Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Osterle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.: 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, 823-848, https://doi.org/10.1175/2011jhm1369.1, 2011.\n[11] Robinson, E.L., Blyth, E., Clark, D.B., Comyn-Platt, E., Finch, J. , Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2 ","locations":["POLYGON((-9.014 49.767, -9.014 59.21, 1.56 59.21, 1.56 49.767, -9.014 49.767))"],"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","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b745e7b1-626c-4ccc-ac27-56582e77b900","10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland from 1890 to 2015, used for the CHESS-met precipitation variable. "],"supplementalName":["Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]"],"title":"Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met] v1.2","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"1km resolution gridded meteorological variables over Great Britain for the years 1961-2015. 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..."},{"publicationDate":"2018-03-09T00:00:00.000+00:00","altTitle":["MaRIUS-G2G-WAH2-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2005). The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). \n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"f6cac471-7d92-4e6d-be8a-9f7887143058","incomingCitationCount":2,"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"keyword":["Great Britain","Catchment","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain","Catchment"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"licence":"Non-Open government licence","lineage":"The flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were the weather@home2 bias-corrected precipitation and potential evaportation (Guillod et al. 2018; http://dx.doi.org/10.5285/0cea8d7aca57427fae92241348ae9b03). See Supporting Information for more details. \n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6cac471-7d92-4e6d-be8a-9f7887143058","10.5285/f6cac471-7d92-4e6d-be8a-9f7887143058"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Guillod, B.P.; Jones, R.G.; Kay, A.L.; Massey, N.R.; Sparrow, S.; Wallom, D.C.H.; Wilson, S.S. (2017): Managing the Risks, Impacts and Uncertainties of drought and water Scarcity (MaRIUS) project: Large set of potential past and future climate time series for the UK from the weather@home2 model . Centre for Environmental Data Analysis, 2018.","Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. "],"supplementalName":["Marius drought project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain: weather@home2 (climate model) driving data [MaRIUS-G2G-WAH2-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006),..."},{"publicationDate":"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":"2011-08-01T00:00:00.000+00:00","altTitle":["SWDown WFD","Surface incident shortwave radiation WFD"],"catalogue":"eidc","description":"The WATCH Forcing data 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. It 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. Qair or 2m specific humidity (instantaneous) is the instantaneous specific humidity at 2m measured in kg/kg at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","identifier":"2303498e-c499-42d1-9950-1b1f763a20fa","incomingCitationCount":0,"givenName":["Tanya"],"familyName":["Warnaars"],"fullName":["Warnaars, T."],"keyword":["Modelling","Hydrology","land surface","atmosphere","hydrology","modelling","meteorology"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["land surface","atmosphere","hydrology","modelling","meteorology"],"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 EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315212150538","https://catalogue.ceh.ac.uk/id/2303498e-c499-42d1-9950-1b1f763a20fa"],"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.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; 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 Qair (specific humidity) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"The WATCH Forcing data 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. It was generated as part of the EU FP 6 project \"WATCH\"..."},{"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":"2019-08-14T00:00:00.000+00:00","authorAffiliation":["University of Bristol","Fathom Global"],"authorGivenName":["G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"authorFamilyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"authorFullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"authorOrcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration).  The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK.\n\nThe dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis.  MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010399/1"],"identifier":"d770b12a-3824-4e40-8da1-930cf9470858","incomingCitationCount":1,"givenName":["Gemma","G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"familyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"fullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"keyword":["Great Britain","MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)","Hydrology","Modelling","DECIPHeR","Uncertainty","flow","drought","river"],"keywordsPlace":["Great Britain"],"keywordsProject":["MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["DECIPHeR","Uncertainty","flow","drought","river"],"licence":"Open government licence","lineage":"The modelled flow data are output from the DECIPHeR hydrological model (Coxon et al, 2019; https://doi.org/10.5194/gmd-12-2285-2019).   The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and CHESS-PE (Robinson et al, 2016; https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7).\n\nDECIPHeR (V1) was run from 1961-2015 using 100,000 monte carlo model parameter sets.  Model performance was evaluated over a 54 year timeseries (1962-2015) using a multi-objective approach comprising four evaluation metrics.  The evaluation metrics were chosen to quantify the model’s ability to capture a range of hydrologic behaviour including maintaining overall water balance, capturing flow variability, reproducing low and high flows and the timing of flows.  \n\nThe top ‘multi-objective’ scoring 100 model simulations for each of the 1,366 gauges are supplied as daily river flow timeseries.  Metadata comprising the model parameters and performance for the 100 ensemble members is also supplied to allow the user to interrogate the performance of the model and assist in the interpretation of the results.\n\nSee supporting information document for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"organisation":["University of Bristol","Fathom Global","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d770b12a-3824-4e40-8da1-930cf9470858","10.5285/d770b12a-3824-4e40-8da1-930cf9470858"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Model code"],"supplementalName":["National River Flow Archive (NRFA)","MaRIUS: Managing the Risks, Impacts and Uncertainties of drought and water Scarcity","DECIPHeR: DECIPHeR V1"],"title":"DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall..."},{"publicationDate":"2020-10-22T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["M.","E.","L.","E.J.","R.D."],"authorFamilyName":["Vieno","Nemitz","Jones","Carnell","Morton"],"authorFullName":["Vieno, M.","Nemitz, E.","Jones, L.","Carnell, E.J.","Morton, R.D."],"authorOrcid":["https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0002-4379-9006","https://orcid.org/0000-0003-0870-1955"],"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 UK estimates annual averaged atmospheric composition at approximately 5Km grid for the year 2015 for a set of vegetation removal experiments.\n\n * UK current vegetation\n * UK no vegetation \n * UK Urban current vegetation \n * UK No urban vegetation \n * UK Urban 25% open greenspace conversion\n * UK Urban 50% open greenspace conversion\n\nThe EMEP  model version used here is the rv4.10 and rv4.17, and the WRF model version is the 3.7.1.\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 and the Office of National Statistics to support the ONS-Defra natural capital accounting programme in the UK.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"bad6721c-574b-4229-b023-c7b13ae4c099","incomingCitationCount":0,"givenName":["Massimo","M.","E.","L.","E.J.","R.D."],"familyName":["Vieno","Nemitz","Jones","Carnell","Morton"],"fullName":["Vieno, M.","Nemitz, E.","Jones, L.","Carnell, E.J.","Morton, R.D."],"keyword":["Pollution","Modelling","EMEP","UK Status, Change and Projections of the Environment","UK-SCAPE"],"keywordsTheme":["Pollution","Modelling"],"keywordsOther":["EMEP","UK Status, Change and Projections of the Environment","UK-SCAPE"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated annual average concentrations and annual total for depositions for a model domain covering the UK with a resolution of about 5x6km2. 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).\n\nThe data are processed from the full EMEP4UK model output to subset to a selection of variables only relevant for the vegetation removal work. The ncks nco command version 4.9.3 (nco - The netCDF Operators that comprises a dozen standalone command-line programs that take netCDF and/or DAP files as input) was used to subset the model outpus. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\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.","locations":["POLYGON((-12.076 49.237, -12.076 61.328, 3.877 61.328, 3.877 49.237, -12.076 49.237))"],"orcid":["https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0002-4379-9006","https://orcid.org/0000-0003-0870-1955"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bad6721c-574b-4229-b023-c7b13ae4c099","10.5285/bad6721c-574b-4229-b023-c7b13ae4c099"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Nemitz, E., Vieno, M., Carnell, E., Fitch, A., Steadman, C., Cryle, P., Holland, M., Morton, R.D., Hall, J., Mills, G., Hayes, F., Dickie, I., Carruthers, D., Fowler, D., Reis, S., & Jones, L. (2020). Potential and limitation of air pollution mitigation by vegetation and uncertainties of deposition-based evaluations. In Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (Vol. 378, Issue 2183, p. 20190320). The Royal Society."],"supplementalName":["UK Automatic Urban and Rural Network (AURN)  monitoring stations"],"title":"Air pollution removed by vegetation in the UK, 2015","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"view":["public","crimar"],"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 UK estimates annual averaged atmospheric composition at approximately..."},{"publicationDate":"2011-08-01T00:00:00.000+00:00","catalogue":"eidc","description":"The WATCH Forcing data 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. It 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. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"givenName":["Tanya","S."],"familyName":["Warnaars","Stagl"],"fullName":["Warnaars, T.","Stagl, S."],"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"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","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; 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 Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"The WATCH Forcing data 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. It was generated as part of the EU FP 6 project \"WATCH\"..."},{"publicationDate":"2024-02-13T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"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 total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for years between 1750 and 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.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"bf508daa-c33c-4d75-a250-72b94b1855d4","incomingCitationCount":0,"givenName":["J.","S.","E.J. ","T.","M.","Janice"],"familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"keyword":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK","Pollution","Modelling","oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsProject":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK"],"keywordsTheme":["Pollution","Modelling"],"keywordsOther":["oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN (Baker 2001).\n\nThe data were 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\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/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf508daa-c33c-4d75-a250-72b94b1855d4","10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The Weather and Research Forecast (WRF) model derived meteorology has been used to drive the EMEP4UK model: Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. "," The National Centers for Environmental Prediction Final Reanalysis dataset have been used as initial and boundary condition, and to nudge the WRF model: National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01/01/2022  ","Data from this center were used in the EMEP4UK model","Data from this inventory were used in the EMEP4UK model","Emissions used in EMEP4UK model are available from this paper: Tomlinson et al., 2023. Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1 km resolution, 1750-2100","Observations that were used to assess and control the quality of the heavy metal data can be found in this report: Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre."],"supplementalName":["Weather and Research Forecast model","National Centers for Environmental Prediction Final Reanalysis dataset ","EU EMEP Emissions Center","The UK National Atmospheric Emissions Inventory","The Republic of Ireland National Emissions Inventory","Tomlinson et al., (2023)","Baker (2001)"],"title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 1750-2018","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"view":["public","jenroe"],"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 total atmospheric deposition of cadmium, copper, nickel,..."},{"publicationDate":"2021-10-07T00:00:00.000+00:00","authorAffiliation":["Loughborough University","Newcastle University"],"authorGivenName":["H.","Q.","W."],"authorFamilyName":["Chen","Liang","Xiao"],"authorFullName":["Chen, H.","Liang, Q.","Xiao, W."],"catalogue":"eidc","description":"This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario. The GLOFs scenarios were created using a simple dam breach model. A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005919/1"],"identifier":"f4292d99-de93-4a28-a821-b2a6a826df4c","incomingCitationCount":0,"givenName":["H.","Q.","W."],"familyName":["Chen","Liang","Xiao"],"fullName":["Chen, H.","Liang, Q.","Xiao, W."],"keyword":["Tsho Rolpa Lake","Nepal","Environmental risk","Modelling","Glacial lake outburst floods","Hydrodynamic flood modelling","flood","modelling"],"keywordsPlace":["Tsho Rolpa Lake","Nepal"],"keywordsTheme":["Environmental risk","Modelling"],"keywordsOther":["Glacial lake outburst floods","Hydrodynamic flood modelling","flood","modelling"],"licence":"Open government licence","lineage":"A commonly used empirical breach model was adopted to represent the dam breach formation process caused by overtopping. The breach was assumed to start from a small channel formed at the dam crest (initial breach) and grows into a trapezoidal shape with a side-slope of 1:1 during the time of failure. The model further assumes an initial breach depth and a final breach depth, which can be quantified and prescribed according to current dam conditions. A fully hydrodynamic model based on the 2-D depth-averaged shallow water equations (SWEs) was adopted to predict the flooding processes driven by the flow out of the breach of the moraine dam.\n","locations":["POLYGON((86.1 27.3, 86.1 27.51, 86.29 27.51, 86.29 27.3, 86.1 27.3))"],"organisation":["Loughborough University","Newcastle University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4292d99-de93-4a28-a821-b2a6a826df4c","10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario...."},{"publicationDate":"2023-11-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorGivenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M."],"authorFamilyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"authorFullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M."],"authorOrcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"catalogue":"eidc","description":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering the different agrochemicals used and their differing forms of environmental impact. We provide four mapped products: IYR for Nitrogen fertilisers, IYR for Phosphorus fertilisers, IYR for pesticide risk to earthworms, and IYR for pesticide risk to honeybees. The IYR is calculated using scaled rather than absolute values, with the maximum value in each yield and inputs dataset set as 1, so that all inputs and rewards are expressed proportionally to each other.\n\nThe research was funded under research programme NE/N018125/1 ASSIST and NE/W005050/1 AgZero+.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","incomingCitationCount":0,"givenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M.","Hannah"],"familyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"fullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M.","Risser, H."],"keyword":["Agriculture","Environmental risk","Mapping","Land use","Modelling","ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Land use","Modelling"],"keywordsOther":["ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"licence":"Open government licence","lineage":"We mapped estimated pesticide and fertiliser applications to 1km grid squares in England using data from the Fera Pesticide Utilisation Survey and the British Survey of Fertiliser Practice, respectively. Estimated pesticide applications were converted to risk values to honeybees and earthworms using information on toxicity from the Pesticide Property Database. Areas with winter wheat crop were identified from the UKCEH Land Cover® plus: Crops map. Data from the June Survey of Agricultural and Horticultural activity were used to create an average wheat yield map for England.\n\nWe then compared the fertiliser and pesticide application datasets separately to estimated yields of wheat in order to derive the Input to Yield Ratio (IYR) for four separate agrochemical inputs: Nitrogen fertilisers, Phosphorus fertilisers, pesticide exposure for earthworms, and pesticide exposure for honeybees.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"state":"published","title":"Input to Yield Ratio (IYR) maps for wheat farming in England, 2010-2017","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Land use/","0/Modelling/"],"version":1.0,"view":["public","eidc-staff"],"shortenedDescription":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering..."},{"publicationDate":"2012-04-03T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","King's College London"],"authorGivenName":["S.N.","U.","T.D.","F.","S.","M.A."],"authorFamilyName":["Riddick","Dragosits","Blackall","Daunt","Wanless","Sutton"],"authorFullName":["Riddick, S.N.","Dragosits, U.","Blackall, T.D.","Daunt, F.","Wanless, S.","Sutton, M.A."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0220mzb33"],"catalogue":"eidc","description":"The dataset contains three modelled estimates of global ammonia emissions from seabird colonies, at a spatial resolution of 0.1 degrees latitude/longitude. The model estimates were derived with  a) detailed global seabird population data collated from a large number of sources (data sources date from 1980-2010 for different parts of the world) b) climate data (source: High-resolution Gridded Datasets, Climatic Research Unit, University of East Anglia, UK.  http://www.cru.uea.ac.uk/cru/data/hrg/ last updated by Harris, I. (2007), date: 1995) c) emission model derived by Riddick et al. (2012) with funding for the project from the CEH Integrating Fund (NERC). A detailed description and discussion of the datasets, including methodology and uncertainties, can be found in the following peer-reviewed article:  S. N. Riddick, U. Dragosits, T. D. Blackall, F. Daunt, S. Wanless and M. A. Sutton (2012) The global distribution of ammonia emissions from seabird colonies. Atmospheric Environment, 55 (2012), pp. 319-327 https://doi.org/10.1016/j.atmosenv.2012.02.052","documentType":"GEMINI_DOCUMENT","identifier":"c9e802b3-43c8-4b36-a3a3-8861d9da8ea9","incomingCitationCount":5,"givenName":["U.","S.N.","T.D.","F.","S.","M.A."],"familyName":["Dragosits","Riddick","Blackall","Daunt","Wanless","Sutton"],"fullName":["Dragosits, U.","Riddick, S.N.","Blackall, T.D.","Daunt, F.","Wanless, S.","Sutton, M.A."],"keyword":["Modelling","seabird","emission data","map","ammonia","emission"],"keywordsTheme":["Modelling"],"keywordsOther":["seabird","emission data","map","ammonia","emission"],"licence":"Non-Open government licence","lineage":"The model estimates were derived with  a) detailed global seabird population data collated from a large number of sources (data sources date from 1980-2010 for different parts of the world) b) climate data (source: High-resolution Gridded Datasets, Climatic Research Unit, University of East Anglia, UK.  http://www.cru.uea.ac.uk/cru/data/hrg/ last updated by Harris, I. (2007) date: 1995) c) emission model derived by Riddick et a. (2012) with funding for the project from the CEH Integrating Fund (NERC).","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","King's College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1330706622343","https://catalogue.ceh.ac.uk/id/c9e802b3-43c8-4b36-a3a3-8861d9da8ea9","10.5285/c9e802b3-43c8-4b36-a3a3-8861d9da8ea9"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0220mzb33","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Riddick, S.N.; Dragosits, U.; Blackall, T.D.; Daunt, F.; Wanless, S.; Sutton, M.A.. 2012 The global distribution of ammonia emissions from seabird colonies. Atmospheric Environment, 55. 319-327."],"title":"Global ammonia emissions from seabirds","topic":["0/Modelling/"],"version":1.0,"view":["public","veerle@essex.ac.uk"],"shortenedDescription":"The dataset contains three modelled estimates of global ammonia emissions from seabird colonies, at a spatial resolution of 0.1 degrees latitude/longitude. The model estimates were derived with  a) detailed global seabird population data collated from a large number..."},{"publicationDate":"2014-04-30T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Centre for Environmental Systems Research","University of Birmingham"],"authorGivenName":["C.L.R.","M.C.","C.","M.J.","H.A.","M.","D.M."],"authorFamilyName":["Laize","Acreman","Schneider","Dunbar","Houghton-Carr","Florke","Hannah"],"authorFullName":["Laize, C.L.R.","Acreman, M.C.","Schneider, C.","Dunbar, M.J.","Houghton-Carr, H.A.","Florke, M.","Hannah, D.M."],"authorOrcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8946-739X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"eidc","description":"This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows for 1961 to 1990). Score classes are categorisation of flow alteration scenarios.","documentType":"GEMINI_DOCUMENT","identifier":"d8ef71eb-3d22-4f98-af15-9d8e046ccb63","incomingCitationCount":0,"givenName":["Cedric","C.L.R.","M.C.","C.","M.J.","H.A.","M.","D.M."],"familyName":["Laize","Acreman","Schneider","Dunbar","Houghton-Carr","Florke","Hannah"],"fullName":["Laize, C.","Laize, C.L.R.","Acreman, M.C.","Schneider, C.","Dunbar, M.J.","Houghton-Carr, H.A.","Florke, M.","Hannah, D.M."],"keyword":["Europe","Climate and climate change","Hydrology","Modelling","streamflow","water","water levels","river flow"],"keywordsPlace":["Europe"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["streamflow","water","water levels","river flow"],"licence":"Non-Open government licence","lineage":"The river network was modelled as 33,668 cells (5° longitude; 5°latitude). For each cell, modelled monthly flows were generated for an ensemble of 10 scenarios for the 2050s and for the study baseline (naturalized flows for 1961-1990). These future scenarios consist of combinations of two climate scenarios and four socio-economic water-use scenarios (with a main driver of economy, policy, security or sustainability). Environmental flow implications are assessed using the new Ecological Risk due to Flow Alteration (ERFA) methodology, based on a set of monthly flow regime indicators (MFRIs). Differences in MFRIs between scenarios and baseline are calculated to derive ERFA classes (no, low, medium and high risk), which are based on the number of indicators significantly different from the baseline. ERFA classes are presented as colour-coded pan-European maps. Observed historical climate data for the reference period 1961-1990 were collated from the Climate Research Unit (University of East Anglia, UK). Projected future climate data for the period 2040-2069 (i.e. 2050s) were taken from two Global Circulation Models (GCMs): (i) IPSL-CM4, Institut Pierre Simon Laplace, France (IPCM4 thereafter); and (ii) MIROC3.2, Center for Climate System Research, University of Tokyo, Japan (MIMR thereafter). These two GCMs were chosen after comparing nine GCMs from the IPCC Fourth Assessment (IPCC, 2007); they were considered representative of the variability between GCMs (Bärlund, 2010). For both GCMs, the IPCC SRES A2 emission scenario (IPCC, 2007) was selected. In total, 11 sets of modelled monthly flow series were generated using different combinations of climate data inputs and socio-economic scenarios. Naturalized flows for 1961-1990 were generated by running WaterGAP with the hydrological component only (i.e. no water usage) and the historical climate data from CRU as input.","locations":["POLYGON((-6 35, -6 71, 29 71, 29 35, -6 35))"],"orcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8946-739X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Centre for Environmental Systems Research","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1386846758703","https://catalogue.ceh.ac.uk/id/d8ef71eb-3d22-4f98-af15-9d8e046ccb63","10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Laizé, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Flörke, M., & Hannah, D.M. (2013). PROJECTED FLOW ALTERATION AND ECOLOGICAL RISK FOR PAN-EUROPEAN RIVERS. River Research and Applications, 30(3), 299–314"],"title":"Ecological risk due to river flow alteration under climate and socioeconomic change scenarios","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jone"],"shortenedDescription":"This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows..."},{"publicationDate":"2024-05-17T00:00:00.000+00:00","authorAffiliation":["University of Strathclyde"],"authorGivenName":["D.","P.","K."],"authorFamilyName":["Wadkin-Snaith","Mulheran","Johnston"],"authorFullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"authorOrcid":["https://orcid.org/0000-0002-9469-8010","https://orcid.org/0000-0002-5817-3479"],"catalogue":"eidc","description":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher to replicate the molecular dynamics simulations. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V010603/1"],"identifier":"25fc1140-07bf-424a-a32c-87dbba9c426a","incomingCitationCount":0,"givenName":["D.","P.","K."],"familyName":["Wadkin-Snaith","Mulheran","Johnston"],"fullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"keyword":["Modelling","Polymers","Surfaces","Molecular dynamics simulations"],"keywordsTheme":["Modelling"],"keywordsOther":["Polymers","Surfaces","Molecular dynamics simulations"],"licence":"Open government licence","lineage":"Input files were created by researchers. The model parameters were based on the well-known Kremer-Grest model and were modified to include an angle potential and some attractive non-bonded parameters as outlined in the publication: https://doi.org/10.1016/j.polymer.2023.126113\n","orcid":["https://orcid.org/0000-0002-9469-8010","https://orcid.org/0000-0002-5817-3479"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25fc1140-07bf-424a-a32c-87dbba9c426a","10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/04xw4m193"],"state":"published","supplementalName":["Filler-induced heterogeneous nucleation of polymer crystals investigated by molecular dynamics simulations"],"title":"Simulation details, force field parameters, and topology information for use in LAMMPS software for molecular dynamics simulations of polymer crystallisation at a surface","topic":["0/Modelling/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher..."},{"publicationDate":"2016-07-08T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["B.V.","P.","K.","C."],"authorFamilyName":["Purse","Graeser","Searle","Edwards","Harris"],"authorFullName":["Purse, B.V.","Graeser, P.","Searle, K.","Edwards, C.","Harris, C."],"authorOrcid":["https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"These spatial layers quantify the predicted habitat suitability for Rhododendron ponticum across Scotland. These layers were developed with reference to this species role as reservoir host for Phytophthora plant pathogens, but should have value for management of Rhododendron ponticum as a problematic invasive species. The models were developed by combining biological records of R. ponticum with climate, soil, elevation and woodland cover data. The dataset contains averaged estimates for R. ponticum presence, associated standard deviation for each estimate and locations where environmental conditions in the study region strayed too far from the training set data. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forest Research, Forestry Commission and Centre for Ecology & Hydrology (CEH).","documentType":"GEMINI_DOCUMENT","identifier":"b984a173-8d80-4781-8a53-bef7bcb0d198","incomingCitationCount":0,"givenName":["Beth","B.V.","P.","K.","C."],"familyName":["Purse","Graeser","Searle","Edwards","Harris"],"fullName":["Purse, B.","Purse, B.V.","Graeser, P.","Searle, K.","Edwards, C.","Harris, C."],"keyword":["Scotland","Invasive species","Modelling","Phytophthora kernoviae","Phytophthora ramorum","Rhododendron ponticum"],"keywordsPlace":["Scotland"],"keywordsTheme":["Invasive species","Modelling"],"keywordsOther":["Phytophthora kernoviae","Phytophthora ramorum","Rhododendron ponticum"],"licence":"Open government licence","lineage":"Alexandra Schlenzig at SASA provided advice on premise types. Jim McCleod and Steve Albon from the Macaulary Land Use Research Institute provided the soil data. Prof. David Rogers and the Spatial Ecology and Epidemiology Group at Oxford University provided the MODIS data. Adam Butler at Biomathematics and Statistics Scotland (BioSS) provided statistical advice. Local Record Centres and their contributing biological recorders provided the R. ponticum data. Based on previous empirical studies of the habitat associations of R. ponticum, seven environmental predictors were selected apriori for modelling. R. ponticum data and environmental data were to run the Maximum Entropy (MaxEnt; version 3.3.3e) model. MaxEnt was selected to create the suitability maps from amongst Species Distribution Model techniques because it is specialised for presence-only biological records and is consistently competitive with the highest performing methods. More details on the data and model can be found in the supporting documentation.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"orcid":["https://orcid.org/0000-0001-5140-2710"],"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/b984a173-8d80-4781-8a53-bef7bcb0d198","10.5285/b984a173-8d80-4781-8a53-bef7bcb0d198"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Purse, B. V., Graeser, P., Searle, K., Edwards, C., & Harris, C. (2012). Challenges in predicting invasive reservoir hosts of emerging pathogens: mapping Rhododendron ponticum as a foliar host for Phytophthora ramorum and Phytophthora kernoviae in the UK. Biological Invasions, 15(3), 529-545. "],"title":"Habitat suitability maps for Rhododendron ponticum across Scotland as reservoir host for Phytophthora","topic":["0/Invasive species/","0/Modelling/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"These spatial layers quantify the predicted habitat suitability for Rhododendron ponticum across Scotland. These layers were developed with reference to this species role as reservoir host for Phytophthora plant pathogens, but should have value for management of Rhododendron..."},{"publicationDate":"2019-10-08T00:00:00.000+00:00","authorAffiliation":["University of Exeter","CSIRO"],"authorGivenName":["P.D.L.","G.S."],"authorFamilyName":["Ritchie","Smith"],"authorFullName":["Ritchie, P.D.L.","Smith, G.S."],"authorOrcid":["https://orcid.org/0000-0002-7649-2991"],"authorRor":["https://ror.org/03yghzc09"],"catalogue":"eidc","description":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P007880/1"],"identifier":"2efac82b-2438-4806-999d-374663210c34","incomingCitationCount":0,"givenName":["Paul","P.D.L.","G.S."],"familyName":["Ritchie","Smith"],"fullName":["Ritchie, P.","Ritchie, P.D.L.","Smith, G.S."],"keyword":["Modelling","Climate and climate change","arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"licence":"Open government licence","lineage":"JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology & Hydrology. The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘full_UK’, available from https://code.metoffice.gov.uk/trac/roses-u.\n\nECO-AG outputs have been produced using an approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-7649-2991"],"organisation":["University of Exeter","CSIRO","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efac82b-2438-4806-999d-374663210c34","10.5285/2efac82b-2438-4806-999d-374663210c34"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary..."},{"publicationDate":"2018-06-25T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading"],"authorGivenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"authorFamilyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"authorFullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","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","https://orcid.org/0000-0003-1320-315X","https://orcid.org/0000-0002-2158-141X","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-7419-0850","https://orcid.org/0000-0003-3970-8172","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-0679-2219","https://orcid.org/0000-0002-2165-5239","https://orcid.org/0000-0003-1821-8561"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79"],"catalogue":"eidc","description":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required to calculate the anthropogenic fossil fuel emissions as the residual of the yearly changes. Also included are the global warming variables, fractional land-cover, natural wetland extent and methane (CH4) flux and the soil temperature and moisture content for additional analysis.\n\nThe spatial coverage is global with spatial resolution of the data is 2.5 degrees latitude, 3.75 degrees longitude. \n\nThis dataset is the model output that was used in Comyn-Platt et al (2018) [\nComyn-Platt, E. et al. (2018). Carbon budgets for 1.5 and 2C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience. https://doi.org/10.1038/s41561-018-0174-9]","documentType":"GEMINI_DOCUMENT","identifier":"1cebd79c-02e7-475a-a1da-1f26a963d41e","incomingCitationCount":0,"givenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"familyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"fullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"keyword":["Climate and climate change","Modelling","carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsTheme":["Climate and climate change","Modelling"],"keywordsOther":["carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"licence":"Open government licence","lineage":"These data contain 12 sets (4 model configurations x 3 temperature pathways) of annual model output from JULES driven by 34 different GCM climate patterns as described in the IMOGEN system. \n\nThe four model configurations included are:\n- 'BLco' - Baseline, or control, configuration without methane feedback.\n- 'CH4_lowQ10' - CH4 feedback configuration with a low temperature sensitivity methanogenesis scheme.\n- 'CH4_poorFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'poor fen' type wetlands.\n- 'CH4_richFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'rich fen' type wetlands.\n\nThe three temperature scenarios included are:\n- '2deg' - Stabilisation at 2 deg C by 2100 from below\n- '1p5deg' - Stabilisation at 1.5 deg C by 2100 from below\n- '1p5degOS' - Stabilisation at 1.5 deg C by 2100 following an overshoot to 1.75 deg C\n\nFor full details of the methods used please refer to  Comyn-Platt et al. 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It consists of three/six-hourly states of the weather for global half-degree land grid points. It 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. SWdown or surface incident shortwave radiation is the surface incident shortwave radiation measured in W/m2 at 3 hourly resolution, based on the average over the next 3 hours at the surface and at 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","identifier":"31dd5dd3-85b7-45f3-96a3-6e6023b0ad61","incomingCitationCount":0,"givenName":["Tanya"],"familyName":["Warnaars"],"fullName":["Warnaars, T."],"keyword":["Modelling","Hydrology","land surface","atmosphere","hydrology","meteorology"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["land surface","atmosphere","hydrology","meteorology"],"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 EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315214218724","https://catalogue.ceh.ac.uk/id/31dd5dd3-85b7-45f3-96a3-6e6023b0ad61"],"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.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; 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 SWdown (surface incident shortwave radiation) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"The WATCH Forcing data 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. It was generated as part of the EU FP 6 project \"WATCH\"..."},{"publicationDate":"2021-06-23T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)"],"authorGivenName":["R.","V.D.J.","P.S.","H.E.","H.A.","H.G."],"authorFamilyName":["Horan","Keller","Wable","Baron","Houghton-Carr","Rees"],"authorFullName":["Horan, R.","Keller, V.D.J.","Wable, P.S.","Baron, H.E.","Houghton-Carr, H.A.","Rees, H.G."],"authorOrcid":["https://orcid.org/0000-0002-8304-0272","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0003-4685-1524","https://orcid.org/0000-0003-0070-8247","https://orcid.org/0000-0003-4465-2169","https://orcid.org/0000-0003-3300-0472"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0541a3n79"],"catalogue":"eidc","description":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5. A baseline of 1986-2005 is presented along with two future time slices (2041-2060 and 2061-2080) for these variables. The data were produced to help predict how rapid economic development and population growth in the region would impact on future water security. The data resource was produced by the data authors.\n\nThe research was funded by NERC research grant NE/N016491/1 Upscaling Catchment Processes for Sustainable Water Management in Peninsular India","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N016491/1"],"identifier":"522309f8-59b1-4982-85df-cb3171c2a062","incomingCitationCount":1,"givenName":["Robyn","R.","V.D.J.","P.S.","H.E.","H.A.","H.G."],"familyName":["Horan","Keller","Wable","Baron","Houghton-Carr","Rees"],"fullName":["Horan, R.","Keller, V.D.J.","Wable, P.S.","Baron, H.E.","Houghton-Carr, H.A.","Rees, H.G."],"keyword":["India","Cauvery Basin","Modelling","General Circulation Model ","GSM","Shared Socio-economic Pathway ","SSP","demands","aquifer level","streamflow","aquifer"],"keywordsPlace":["India","Cauvery Basin"],"keywordsTheme":["Modelling"],"keywordsOther":["General Circulation Model ","GSM","Shared Socio-economic Pathway ","SSP","demands","aquifer level","streamflow","aquifer"],"licence":"Open government licence","lineage":"The model was calibrated at 14 gauging stations across the basin against available observed streamflow using the SIMPLEX auto-calibration routine. This routine utilises four parameters (a surface and groundwater routing parameter, a probability distribution model (PDM) parameter that describes spatial variation in soil moisture capacity and a multiplier to adjust rooting depths). The model was then validated across the same 14 gauging stations (over a different time period to the calibration) and 200 groundwater observational wells.","locations":["POLYGON((72.482 8.635, 72.482 18.948, 83.82 18.948, 83.82 8.635, 72.482 8.635))"],"orcid":["https://orcid.org/0000-0002-8304-0272","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0003-4685-1524","https://orcid.org/0000-0003-0070-8247","https://orcid.org/0000-0003-4465-2169","https://orcid.org/0000-0003-3300-0472"],"organisation":["UK Centre for Ecology & Hydrology","International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/522309f8-59b1-4982-85df-cb3171c2a062","10.5285/522309f8-59b1-4982-85df-cb3171c2a062"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0541a3n79","https://ror.org/04xw4m193"],"state":"published","title":"Simulated streamflow, demands and aquifer levels in the Cauvery Basin, India, 1986-2080 using the Global Water Availability Assessment Model (GWAVA) ","topic":["0/Modelling/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment..."},{"publicationDate":"2021-12-14T00:00:00.000+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 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. \nTo aid interpretation, two additional spatial datasets are provided:\n\n1km 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.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"c9a85f7c-45e2-4201-af82-4c833b3f2c5f","incomingCitationCount":3,"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Ali"],"familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A.","Rudd, A."],"keyword":["Hydrology","Modelling","Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","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 observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). 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/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f"],"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 soil moisture for Great Britain and Northern Ireland driven by observed data (1980 to 2011)","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). 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