{"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":[{"publicationDate":"2016-07-07T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"authorGivenName":["K.","A.","C.","B.V."],"authorFamilyName":["Searle","Butler","Harris","Purse"],"authorFullName":["Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"authorOrcid":["https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"catalogue":"eidc","description":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland. The distribution models were developed from quadrat vegetation data kindly provided by Scottish Natural Heritage combined with data on climate and soil conditions as well as deer abundance and were fitted using a Bayesian Generalised Mixed Modelling approach adapted for input data on the DOMIN scale. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). ","documentType":"GEMINI_DOCUMENT","identifier":"5749df3d-000c-445e-a37f-dc0763b4d5ec","incomingCitationCount":0,"givenName":["Bethan","K.","A.","C.","B.V."],"familyName":["Purse","Searle","Butler","Harris"],"fullName":["Purse, B.","Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"keyword":["Modelling","Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsTheme":["Modelling"],"keywordsOther":["Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"licence":"Open government licence","lineage":"A logit-normal model was developed, structured as a generalized linear mixed model (GLMM) for logit-transformed proportions. An approach was adopted that would deal with overdispersion (the large number of absence records for the species), the unequal numbers of quadrats taken per NVC survey site, and the uncertainty around the true percent cover arising from the unequal size of the DOMIN class intervals - such that the true percent cover is an unobserved latent variable. The supporting documentation contains full details of the GLMM used. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"orcid":["https://orcid.org/0000-0001-5140-2710","https://orcid.org/0000-0003-4624-9023"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5749df3d-000c-445e-a37f-dc0763b4d5ec","10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"state":"published","title":"Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora ","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland...."},{"publicationDate":"2022-10-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","M.","E.J. ","S.","R.","T.","Y."],"authorFamilyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"authorFullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 3x3 km2 grid for the year 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"8750607d-1e8f-4b39-a61d-f162f4552d8e","incomingCitationCount":0,"givenName":["J.","M.","Janice","E.J. ","S.","R.","T.","Y."],"familyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"fullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"keyword":["EMEP4UK","EMEP","UK-SCAPE","Pollution","Mapping","Modelling","Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"keywordsProject":["EMEP4UK","EMEP","UK-SCAPE"],"keywordsTheme":["Pollution","Mapping","Modelling"],"keywordsOther":["Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8750607d-1e8f-4b39-a61d-f162f4552d8e","10.5285/8750607d-1e8f-4b39-a61d-f162f4552d8e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Liu, Z., Berner, J., Wang, W., Powers, J.G., Duda, M.G., Barker, D.M., & Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4. UCAR/NCAR.","National Centers For Environmental Prediction/National Weather Service/NOAA/U.S. Department Of Commerce. (2000). NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 [Data set]. UCAR/NCAR - Research Data Archive."],"supplementalName":["The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"title":" European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of..."},{"publicationDate":"2023-10-31T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","E.M.","D.B.","E.","A.C.","M."],"authorFamilyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd","Wiggins"],"authorFullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C.","Wiggins, M."],"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","https://orcid.org/0000-0002-7395-9381"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Gridded potential evapotranspiration over Great Britain for the years 1961-2019 at 1 km resolution. This dataset contains two potential evapotranspiration variables calculated using the Penman-Monteith equation parameterised for well-watered short grass: daily total potential evapotranspiration (PET; kg m-2) 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 research has been carried out under national capability funding as part of the NERC Hydro-JULES programme (NE/S017380/1) and under the NERC Changing Water Cycle program (NE/I006087/1)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S017380/1","NE/I006087/1"],"identifier":"8651771d-aa6d-4d0f-8bcd-b3be1f733852","incomingCitationCount":0,"givenName":["E.L.","E.M.","D.B.","E.","A.C.","M."],"familyName":["Robinson","Blyth","Clark","Comyn-Platt","Rudd","Wiggins"],"fullName":["Robinson, E.L.","Blyth, E.M.","Clark, D.B.","Comyn-Platt, E.","Rudd, A.C.","Wiggins, M."],"keyword":["Modelling","Climate and climate change","potential evaporation","potential evapotranspiration ","evaporation ","climate change","climate"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["potential evaporation","potential evapotranspiration ","evaporation ","climate change","climate"],"licence":"Non-Open government licence","lineage":"The potential evapotranspiration (PET) is derived from the air temperature, specific humidity, downward long- and shortwave radiation and surface air pressure from the Climate hydrology and ecology research support system Climate hydrology and ecology research support system meteorology dataset (CHESS-met) data set (https://doi.org/10.5285/835a50df-e74f-4bfb-b593-804fd61d5eab) using a version of the Penman-Monteith equation parameterised for Food and Agriculture Organisation (FAO)-defined well-watered grass. The potential evapotranspiration with interception correction (PETI) is derived from all of the above, plus the (CHESS-met) precipitation, which is the Gridded estimates of daily and monthly areal rainfall for the United Kingdom (CEH-GEAR) precipitation (https://doi.org/10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c) scaled to appropriate units. The PETI calculation adds a correction for interception by a well-watered grass on rain days.","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","https://orcid.org/0000-0002-7395-9381"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8651771d-aa6d-4d0f-8bcd-b3be1f733852","10.5285/8651771d-aa6d-4d0f-8bcd-b3be1f733852"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2019) [CHESS-PE]","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Gridded potential evapotranspiration over Great Britain for the years 1961-2019 at 1 km resolution. This dataset contains two potential evapotranspiration variables calculated using the Penman-Monteith equation parameterised for well-watered short grass: daily total..."},{"publicationDate":"2018-06-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Leeds and University of Exeter","Met Office Hadley Centre","University of Exeter","University of Reading"],"authorGivenName":["E.","G.","C.","S.","A.","W.","T.","P.","N."],"authorFamilyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"authorFullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.","Burke, E.","Harper, A.","Collins, W.","Webber, C.","Powell, T.","Cox, P.","Gedney, N.","Sitch, S."],"authorOrcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/05v62cm79"],"catalogue":"eidc","description":"This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K K-1); surface relative humidity change per degree global warming (percentage of K-1); wind change per degree global warming (m s-1 K-1); longwave change per degree global warming (W m-2 K 1); shortwave change per degree global warming (W m-2 K-1); precipitation change per degree global warming (mm day-1 K-1) and pressure change per degree global warming (hPa K-1).\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75° longitude and 2.5° latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45° North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 34 GCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5) GCM ensemble.\n\nFurther information about the dataset and its derivation can be found in Comyn-Platt, E. et al. (2018). 'Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks'. Nature Geoscience. http://doi.org/10.1038/s41561-018-0174-9","documentType":"GEMINI_DOCUMENT","identifier":"343885af-0f5e-4062-88e1-a9e612f77779","incomingCitationCount":1,"givenName":["G.","E.","C.","S.","A.","W.","T.","P.","N."],"familyName":["Hayman","Comyn-Platt","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"fullName":["Hayman, G.","Comyn-Platt, E.","Huntingford, C.","Chadburn, S.","Burke, E.","Harper, A.","Collins, W.","Webber, C.","Powell, T.","Cox, P.","Gedney, N.","Sitch, S."],"keyword":["Modelling","Climate and climate change","Global Circulation Model (GCM)","Global climate-carbon cycle model ","Future climate projections ","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)","energy balance","climate","global model","carbon cycle","CMIP5 "],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["Global Circulation Model (GCM)","Global climate-carbon cycle model ","Future climate projections ","Energy Balance Model","EBM","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)","energy balance","climate","global model","carbon cycle","CMIP5 "],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 34 global circulation models (GCM) of the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 5 (CMIP5) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land. \n\nThe calibration against CMIP5 models has full numerical code documentation, traceability on demand and with scripts utilising open-access software. This meets the ISO standards for numerical model building and is available on request to Chris Huntingford.\n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Leeds and University of Exeter","Met Office Hadley Centre","University of Exeter","University of Reading","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/343885af-0f5e-4062-88e1-a9e612f77779","10.5285/343885af-0f5e-4062-88e1-a9e612f77779"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Comyn-Platt, E., Hayman, G., Huntingford, C., Chadburn, S. E., Burke, E. J., Harper, A. B., … Sitch, S. (2018). Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience, 11(8), 568–573."],"title":"CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological..."},{"publicationDate":"2021-06-23T00:00:00.000+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":"2016-12-12T00:00:00.000+00:00","altTitle":["CHESS-met"],"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\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. ","documentType":"GEMINI_DOCUMENT","identifier":"10874370-bc58-4d23-a118-ea07df8a07f2","incomingCitationCount":5,"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","Modelling","Climate and climate change","gridded data","rainfall ","precipitation ","air temperature ","specific humidity ","wind speed ","longwave radiation ","shortwave radiation ","air pressure ","Biosphere-atmosphere interactions"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["gridded data","rainfall ","precipitation ","air temperature ","specific humidity ","wind speed ","longwave radiation ","shortwave radiation ","air pressure ","Biosphere-atmosphere interactions"],"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 differs from the previous version (1961-2012) only by temporal coverage. That is, previous years' data have not been modified.\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.","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","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/10874370-bc58-4d23-a118-ea07df8a07f2","10.5285/10874370-bc58-4d23-a118-ea07df8a07f2"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The CHESS Explorer application provides the ability for users to preview the data, visualise maps of the different meteorological variables, and understand how they vary across the country and through time.\nNotice that this application displays data up to 2012 for now."],"supplementalName":["CHESS Explorer"],"title":"Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","emrobi"],"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":"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":"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":"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":"2015-11-12T00:00:00.000+00:00","altTitle":["CHESS-PE"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","E.","D.B.","J.","A.C."],"authorFamilyName":["Robinson","Blyth","Clark","Finch","Rudd"],"authorFullName":["Robinson, E.L.","Blyth, E.","Clark, D.B.","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/0000-0001-5996-6115"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"1km resolution gridded potential evapotranspiration over Great Britain for the years 1961-2012. This dataset contains time series of two potential evapotranspiration variables. The first is potential evapotranspiration (PET) (mm/day) calculated using the Penman-Monteith equation [1] for FAO-defined well-watered grass [2]. The second is potential evapotranspiration with interception correction (PETI) (mm/day), which adds a correction for interception by a well-watered grass on days in which there is rainfall. Both PET and PETI are calculated using the Climate Hydrology and Ecology research Support System meteorology dataset (CHESS-met) meteorological variables [3].\n\n[1] Monteith, J. L.: Evaporation and environment, in: 19th Symposia of the Society for Experimental Biology, University Press, Cambridge, 1965\n[2] Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration - Guidelines for computing crop water requirements, Food and Agriculture Organization of the United Nations, Rome, Italy, FAO Irrigation and Drainage Paper, 1998.\n[3] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2015). Climate hydrology and ecology research support system meteorological dataset (1961-2012) [CHESS-met] . NERC-Environmental Information Data Centre https://doi.org/10.5285/80887755-1426-4dab-a4a6-250919d5020c","documentType":"GEMINI_DOCUMENT","identifier":"d329f4d6-95ba-4134-b77a-a377e0755653","incomingCitationCount":13,"givenName":["Emma","E.L.","E.","D.B.","J.","A.C."],"familyName":["Robinson","Blyth","Clark","Finch","Rudd"],"fullName":["Robinson, E.","Robinson, E.L.","Blyth, E.","Clark, D.B.","Finch, J.","Rudd, A.C."],"keyword":["Climate and climate change","Modelling","gridded data","interception","transpiration","evapotranspiration","evaporation"],"keywordsTheme":["Climate and climate change","Modelling"],"keywordsOther":["gridded data","interception","transpiration","evapotranspiration","evaporation"],"licence":"Non-Open government licence","lineage":"The PET (mm/day) was calculated by applying the Penman-Monteith equation [1] for a well-watered grass surface [2] to the air temperature, specific humidity, downward long- and shortwave radiation and surface air pressure from the Climate hydrology and ecology research support system meteorology dataset (CHESS-met) [3]. To calculate PETI (mm/day) an interception correction is applied on days with non-zero rainfall, by interpolating between PET and potential interception assuming an exponential dry-down. On dry days the PETI is equal to the PET. The PETI is calculated using all of the same input variables as the PET, as well as the precipitation from the CHESS-met dataset, which is the CEH-Gridded Estimates of Areal Rainfall (CEH-GEAR) daily rainfall estimates [4,5] scaled to units of kg m-2 s-1. The PET and PETI data were created using software developed in python. For further detail see the Supporting Documentation.\n\n[1] Monteith, J. L.: Evaporation and environment, in: 19th Symposia of the Society for Experimental Biology, University Press, Cambridge, 1965\n[2] Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration - Guidelines for computing crop water requirements, Food and Agriculture Organization of the United Nations, Rome, Italy, FAO Irrigation and Drainage Paper, 1998.\n[3] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2015). Climate hydrology and ecology research support system meteorological dataset (1961-2012) [CHESS-met] . NERC-Environmental Information Data Centre doi:10.5285/80887755-1426-4dab-a4a6-250919d5020c\n[4] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[5] 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 doi:10.5194/essdd-8-83-2015. ","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/0000-0001-5996-6115"],"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/d329f4d6-95ba-4134-b77a-a377e0755653","10.5285/d329f4d6-95ba-4134-b77a-a377e0755653"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The CHESS Explorer application provides the ability for users to preview the data, visualise maps of the different meteorological variables, and understand how they vary across the country and through time."],"supplementalName":["CHESS Explorer"],"title":"Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"1km resolution gridded potential evapotranspiration over Great Britain for the years 1961-2012. This dataset contains time series of two potential evapotranspiration variables. The first is potential evapotranspiration (PET) (mm/day) calculated using the Penman-Monteith..."},{"publicationDate":"2024-01-11T00:00:00.000+00:00","authorAffiliation":["Charles University","University of St Andrews","Instituto de Investigaciones de la Amazonía Peruana","University of Edinburgh","University of Leeds","Servicio Nacional Forestal y de Fauna Silvestre","University of Liverpool","Center for International Forestry Research (CIFOR)","Karlsruhe Institute for Technology","Sam Houston State University Natural History Museum","Unaffiliated","University of Leicester","San Diego Zoo"],"authorGivenName":["A.","E.H.","J.","E.T.","C.","T.R.","L.E.S.","C.J.","G.C.","N.","E.C.","D.","R.","F.C.","G.","K.","J.E.","J.P.","O.","P.","K.H.","M.","C.E.","I.T."],"authorFamilyName":["Hastie","Honorio Coronado","Reyna Huaymacari","Mitchard","Åkesson","Baker","Cole","Cordova Oroche","Dargie","Dávila","De Grandi","del Aguila-Pasquel","Del Castillo Torres","De la Cruz Paiva","Draper","Flores","Grandez Ríos","Hergoualc’h","Householder","Janovec","Lähteenoja","Reyna","Rodríguez-Veiga","Roucoux","Tobler","Wheeler","Williams","Lawson"],"authorFullName":["Hastie, A.","Honorio Coronado, E.H.","Reyna Huaymacari, J.","Mitchard, E.T.","Åkesson, C.","Baker, T.R.","Cole, L.E.S.","Cordova Oroche, C.J.","Dargie, G.C.","Dávila, N.","De Grandi, E.C.","del Aguila-Pasquel, J.","Del Castillo Torres, D.","De la Cruz Paiva, R.","Draper, F.C.","Flores, G.","Grandez Ríos, J.","Hergoualc’h, K.","Householder, J.E.","Janovec, J.P.","Lähteenoja, O.","Reyna, D.","Rodríguez-Veiga, P.","Roucoux, K.H.","Tobler, M.","Wheeler, C.E.","Williams, M.","Lawson, I.T."],"authorOrcid":["https://orcid.org/0000-0003-2098-3510","https://orcid.org/0000-0002-3251-1679","https://orcid.org/0000-0002-0692-3186","https://orcid.org/0000-0002-3547-2425"],"authorRor":["https://ror.org/024d6js02","https://ror.org/02wn5qz54","https://ror.org/010ywy128","https://ror.org/01nrxwf90","https://ror.org/024mrxd33","https://ror.org/04xs57h96","https://ror.org/01rt0fh70","https://ror.org/04t3en479","https://ror.org/00yh3cz06","https://ror.org/04h699437","https://ror.org/04q1yyt92"],"catalogue":"eidc","description":"Two scripts for classifying remotely sensed data used to produce maps of peatland distribution and predicted peat thickness, using random forest classification and regression. Written in JavaScript for use with Google Earth Engine.\n\nThese are versions of the scripts used in Hastie et al. (2022), https://doi.org/10.1038/s41561-022-00923-4. Users should also cite Rodríguez-Veiga et al. (2020), https://doi.org/10.3390/rs12152380 .","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R000751/1"],"identifier":"e337de58-df5e-4412-8aef-28875870f965","incomingCitationCount":0,"givenName":["A.","E.H.","J.","E.T.","C.","T.R.","L.E.S.","C.J.","G.C.","N.","E.C.","D.","R.","F.C.","G.","K.","J.E.","J.P.","O.","P.","K.H.","M.","C.E.","I.T."],"familyName":["Hastie","Honorio Coronado","Reyna Huaymacari","Mitchard","Åkesson","Baker","Cole","Cordova Oroche","Dargie","Dávila","De Grandi","del Aguila-Pasquel","Del Castillo Torres","De la Cruz Paiva","Draper","Flores","Grandez Ríos","Hergoualc’h","Householder","Janovec","Lähteenoja","Reyna","Rodríguez-Veiga","Roucoux","Tobler","Wheeler","Williams","Lawson"],"fullName":["Hastie, A.","Honorio Coronado, E.H.","Reyna Huaymacari, J.","Mitchard, E.T.","Åkesson, C.","Baker, T.R.","Cole, L.E.S.","Cordova Oroche, C.J.","Dargie, G.C.","Dávila, N.","De Grandi, E.C.","del Aguila-Pasquel, J.","Del Castillo Torres, D.","De la Cruz Paiva, R.","Draper, F.C.","Flores, G.","Grandez Ríos, J.","Hergoualc’h, K.","Householder, J.E.","Janovec, J.P.","Lähteenoja, O.","Reyna, D.","Rodríguez-Veiga, P.","Roucoux, K.H.","Tobler, M.","Wheeler, C.E.","Williams, M.","Lawson, I.T."],"keyword":["Modelling","peat","Peru","mapping","Random Forest","Regression","remote sensing","model"],"keywordsTheme":["Modelling"],"keywordsOther":["peat","Peru","mapping","Random Forest","Regression","remote sensing","model"],"licence":"Open government licence","lineage":"The scripts were as part of the NERC-funded project “Carbon Storage in Amazonian Peatlands: Distribution and Dynamics” (grant ref. NE/R000751/1).\nTo run the model code the user needs to first have a Google Earth Engine account. They should also familiarise themselves with the basics of running GEE code editor. GEE uses JavaScript.\n","locations":["POLYGON((-77.78 -13.65, -77.78 -0.04, -68.65 -0.04, -68.65 -13.65, -77.78 -13.65))"],"orcid":["https://orcid.org/0000-0003-2098-3510","https://orcid.org/0000-0002-3251-1679","https://orcid.org/0000-0002-0692-3186","https://orcid.org/0000-0002-3547-2425"],"organisation":["Charles University","University of St Andrews","Instituto de Investigaciones de la Amazonía Peruana","University of Edinburgh","University of Leeds","Servicio Nacional Forestal y de Fauna Silvestre","University of Liverpool","Center for International Forestry Research (CIFOR)","Karlsruhe Institute for Technology","Sam Houston State University Natural History Museum","Unaffiliated","University of Leicester","San Diego Zoo","NERC EDS Environmental Information Data Centre","University of St Andrews ","University of Edinburgh "],"recordType":"Model code","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e337de58-df5e-4412-8aef-28875870f965","10.5285/e337de58-df5e-4412-8aef-28875870f965"],"resourceStatus":"Available","resourceType":"Application","rightsHolder":["University of St Andrews ","University of Edinburgh "],"ror":["https://ror.org/024d6js02","https://ror.org/02wn5qz54","https://ror.org/010ywy128","https://ror.org/01nrxwf90","https://ror.org/024mrxd33","https://ror.org/04xs57h96","https://ror.org/01rt0fh70","https://ror.org/04t3en479","https://ror.org/00yh3cz06","https://ror.org/04h699437","https://ror.org/04q1yyt92","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Hastie, A. et al. (2022). Risks to carbon storage from land-use change revealed by peat thickness maps of Peru. Nature Geoscience 15: 369-374. ","Rodríguez-Veiga, P. et al. (2020).  Carbon stocks and fluxes in Kenyan forests and wooded grasslands derived from Earth observation and model–data fusion. Remote Sensing 12: 2380"],"title":"Model code of peatland distribution and predicted peat thickness in lowland Amazonian Peru","topic":["0/Modelling/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"Two scripts for classifying remotely sensed data used to produce maps of peatland distribution and predicted peat thickness, using random forest classification and regression. Written in JavaScript for use with Google Earth Engine.\n\nThese are versions of the scripts..."},{"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":"2017-07-12T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Australian National University","University of Exeter","Marine Biological Laboratory","University of Minnesota","Columbia University","Western Sydney University","University of Canterbury","Met Office","University of Oxford"],"authorGivenName":["C.","O.K.","A.","L.M.","M.A.","A.B.","K.J.","O.S.","P.B.","K.R.","E.E.","M.","K.L.","P.","M.G.","M.H.","S.","Y."],"authorFamilyName":["Huntingford","Atkin","Martinez-de la Torre","Mercado","Heskel","Harper","Bloomfield","O'Sullivan","Reich","Wythers","Butler","Chen","Griffin","Meir","Tjoelker","Turnbull","Sitch","Wiltshire","Malhi"],"authorFullName":["Huntingford, C.","Atkin, O.K.","Martinez-de la Torre, A.","Mercado, L.M.","Heskel, M.A.","Harper, A.B.","Bloomfield, K.J.","O'Sullivan, O.S.","Reich, P.B.","Wythers, K.R.","Butler, E.E.","Chen, M.","Griffin, K.L.","Meir, P.","Tjoelker, M.G.","Turnbull, M.H.","Sitch, S.","Wiltshire, A.","Malhi, Y."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-0244-5348"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/019wvm592","https://ror.org/03yghzc09","https://ror.org/046dg4z72","https://ror.org/017zqws13","https://ror.org/00hj8s172","https://ror.org/03t52dk35","https://ror.org/03y7q9t39","https://ror.org/01ch2yn61","https://ror.org/052gg0110"],"catalogue":"eidc","description":"The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100). The spatial resolution of the data is 2.5 degrees latitude x 3.75 degrees longitude. These diagnostics are outputs from the Joint UK Land Environment Simulator (JULES land surface model) under four different approaches to calcluate leaf respiration. \n\nEach of four sets contains a total of 34 runs, each driven by a different CMIP5 model climate pattern, using the Integrated Model Of Global Effects of climatic aNomalies (IMOGEN) system. These are for a \"business-as-usual\" approach to fossil fuel usage, as the Representative Concentration Pathway scenario RCP8.5. These simulations form the basis for new research paper by Huntingford et al (2017, under review).","documentType":"GEMINI_DOCUMENT","identifier":"24489399-5c99-4050-93ee-58ac4b09341a","incomingCitationCount":1,"givenName":["Chris","C.","O.K.","A.","L.M.","M.A.","A.B.","K.J.","O.S.","P.B.","K.R.","E.E.","M.","K.L.","P.","M.G.","M.H.","S.","Y."],"familyName":["Huntingford","Atkin","Martinez-de la Torre","Mercado","Heskel","Harper","Bloomfield","O'Sullivan","Reich","Wythers","Butler","Chen","Griffin","Meir","Tjoelker","Turnbull","Sitch","Wiltshire","Malhi"],"fullName":["Huntingford, C.","Atkin, O.K.","Martinez-de la Torre, A.","Mercado, L.M.","Heskel, M.A.","Harper, A.B.","Bloomfield, K.J.","O'Sullivan, O.S.","Reich, P.B.","Wythers, K.R.","Butler, E.E.","Chen, M.","Griffin, K.L.","Meir, P.","Tjoelker, M.G.","Turnbull, M.H.","Sitch, S.","Wiltshire, A.","Malhi, Y."],"keyword":[" Joint UK Land Environment Simulator","JULES","Modelling","Large-scale respiration","global warming","carbon cycle"],"keywordsProject":[" Joint UK Land Environment Simulator","JULES"],"keywordsTheme":["Modelling"],"keywordsOther":["Large-scale respiration","global warming","carbon cycle"],"licence":"Open government licence","lineage":"The annual data are time means of the JULES fluxes, calculated every 3600 s. JULES is a Land Surface Model widely used in climate research. The JULES runs were driven by 34 different GCM climate patterns as described in the IMOGEN system. The 4 approaches for the calculation of plant respiration are:\n(i) \"standard\" - this is using the standard version of the JULES model\n(ii) \"RD25\" - this is with revised estimates of respiration at 25 degrees Celsius.\n(iii) \"RD25 plus b,c\" - this is with new 25 degrees respiration values, plus a revised temperature response across temperature ranges, dependent on two empiric parameters.\n(iv) \"RD25 plus b,c plus acclim\" - as for (iii) above, with additional temperature acclimation effects.\n\nSee supporting information accompanying this dataset for further details. ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-0244-5348"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Australian National University","University of Exeter","Marine Biological Laboratory","University of Minnesota","Columbia University","Western Sydney University","University of Canterbury","Met Office","University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24489399-5c99-4050-93ee-58ac4b09341a","10.5285/24489399-5c99-4050-93ee-58ac4b09341a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/019wvm592","https://ror.org/03yghzc09","https://ror.org/046dg4z72","https://ror.org/017zqws13","https://ror.org/00hj8s172","https://ror.org/03t52dk35","https://ror.org/03y7q9t39","https://ror.org/01ch2yn61","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"state":"published","title":"Plant Respiration Modelling with JULES for a changing climate (1860-2100)","topic":["0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100)...."},{"publicationDate":"2016-06-01T00:00:00.000+00:00","catalogue":"eidc","description":"Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment (SEPARATE) modelling framework [1].\n\nThe SEPARATE framework integrates information on pollutant emissions from multiple sources to provide apportionment and summarises these estimates on the basis of the WFD cycle 2 waterbodies for England and Wales.\n\nThe estimated loads are expressed as tonnes per year. Sources are both diffuse and point sources. Diffuse sources include agriculture, urban, river channel banks, atmospheric deposition; point sources include sewage treatment works, septic tanks, combined sewer overflows, storm tanks. The pollutant loads and percentages are given as cumulative values with the values from the upstream catchment. Phosphorous is reported both as dissolved phosphorous and total phosphorous.\n\n[1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. doi:10.1016/j.envsci.2014.04.010","documentType":"GEMINI_DOCUMENT","identifier":"8dc7c876-90ca-4886-bd0a-9b3a99b09f64","incomingCitationCount":0,"givenName":["Adie","Dave"],"familyName":["Collins","Skirvin"],"fullName":["Collins, A.","Skirvin, D."],"keyword":["Modelling","Pollution"],"keywordsTheme":["Modelling","Pollution"],"licence":"Open government licence","lineage":"This dataset is from the SEPARATE framework, which is based upon data from the period spanning from 2010 to 2012. Main input datasets include: 2010 June Agricultural Survey, 2010 British Survey of Fertiliser Practice (BSFP), elevation data, soil classification, meteorological data, river flow data, and river network outline. Further information given in [1].\n\nAlthough the pollutant emissions are summarised by WFD cycle 2 catchment, the results for individual waterbodies with areas <25 km2 should be treated with caution. This amounts to approximately 43% of the waterbodies across England and Wales and primarily reflects issues associated with the accuracy of statistical or regionally averaged data used to drive the emission layers including those for the agricultural sector. \n\n[1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. doi:10.1016/j.envsci.2014.04.010","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"organisation":["Rothamsted Research","ADAS","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8dc7c876-90ca-4886-bd0a-9b3a99b09f64"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. "],"supplementalName":["WFD Surface Water Management Catchments Cycle 2"],"title":"Source apportionment of annual nutrient and sediment loads to rivers in England and Wales, from the SEPARATE framework","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment..."},{"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":"2022-03-24T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.-H.M."],"authorFamilyName":["Tso"],"authorFullName":["Tso, C.-.M."],"authorOrcid":["https://orcid.org/0000-0002-2415-0826"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This model code provides an example to demonstrate a new application of the 'learnr' R package to help authors to make elements of their research analysis more readily reproducible to users. It turns a R Markdown document to guided, editable, isolated, executable, and resettable code sandboxes where users can readily experiment with altering the codes exposed","documentType":"GEMINI_DOCUMENT","identifier":"df57b002-2a42-4a7d-854f-870dd867618c","incomingCitationCount":2,"givenName":["Michael","C.-H.M."],"familyName":["Tso"],"fullName":["Tso, M.","Tso, C.-.M."],"keyword":["Modelling","R shiny","Rainfall chemistry","Web app","Reproducible research"],"keywordsTheme":["Modelling"],"keywordsOther":["R shiny","Rainfall chemistry","Web app","Reproducible research"],"licence":"Open government licence","lineage":"The model code depends on the 'learnr' R package.","orcid":["https://orcid.org/0000-0002-2415-0826"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Model code","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/df57b002-2a42-4a7d-854f-870dd867618c","10.5285/df57b002-2a42-4a7d-854f-870dd867618c"],"resourceStatus":"Available","resourceType":"Application","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Lamb Weather Types (LWTs)","Reading daily Atlantic multidecadal oscillation (AMO) data"],"title":"R Shiny demonstrator application for advancing reproducible research","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This model code provides an example to demonstrate a new application of the 'learnr' R package to help authors to make elements of their research analysis more readily reproducible to users. It turns a R Markdown document to guided, editable, isolated, executable, and..."},{"publicationDate":"2018-03-09T00:00:00.000+00:00","altTitle":["MaRIUS-G2G-MORECS-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/).\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2","incomingCitationCount":2,"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"keyword":["Great Britain","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"licence":"Non-Open government licence","lineage":"The river flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2","10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. "],"supplementalName":["NRFA website","Marius project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond..."},{"publicationDate":"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":"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..."},{"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..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"admin":false,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FAgriculture%2F","active":false,"count":68},{"name":"Animal behaviour","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FAnimal+behaviour%2F","active":false,"count":78},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FBiodiversity%2F","active":false,"count":270},{"name":"Climate and climate change","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FClimate+and+climate+change%2F","active":false,"count":158},{"name":"Ecosystem 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