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:eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4
dcterms:title "Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM)" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","https://doi.org/10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4" ;
dcterms:bibliographicCitation "Robinson, E.L., Kay, A.L., Brown, M., Chapman, R., Bell, V.A., Blyth, E.M. (2021). Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4" ;
dcterms:description "Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5) scenario. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). PET and PETI were calculated for each member of the UKCP18 RCM perturbed parameter ensemble. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each ensemble member, for each decade." ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "This dataset was derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional Projections on a 12km grid over the UK for 1980-2080 (https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604, v20190731, v20190731), which is a twelve member perturbed parameter ensemble of climate model projections for representative concentration pathway (RCP) scenario RCP8.5. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. The UKCP18 meteorological variables used were daily mean values of: specific humidity at 1.5 m (kg kg-1); sea level pressure (hPa); net surface long wave flux (W m-2); net surface short wave flux (W m-2); wind speed at 10 m (m s-1); air temperature at 1.5 m (degC); precipitation (mm d-1; used for PETI only). Other variables used were the surface elevation (m; https://data.ceda.ac.uk/badc/ukcp18/data/land-rcm/ancil/orog), atmospheric CO2 concentrations (ppmv), and land-sea mask that were used when running the climate model. A description of the methodology is available in the supporting documentation."
] ;
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dcterms:temporal
[ a dcterms:PeriodOfTime ;
dcat:startDate "1980-12-01"^^xsd:date ;
dcat:endDate "2080-11-30"^^xsd:date ;
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dcterms:bibliographicCitation "Kay, A.L., Lane, R.A., & Bell, V.A.(2022). Grid-based simulation of soil moisture in the UK: future changes in extremes and wetting and drying dates. Environmental Research Letters, 17(7), 074029.";
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dcterms:bibliographicCitation "Kay, A.L., Bell, V.A., Davies, H.N., Lane, R.A. & Rudd, A.C. (2023) The UKSCAPE-G2G river flow and soil moisture datasets: Grid-to-Grid model estimates for the UK for historical and potential future climates. Earth System Science Data 15, 2533-2546.";
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dcterms:bibliographicCitation "Robinson, E.L., Brown, M.J., Kay, A.L., Lane, R.A., Chapman, R., Bell, V.A., & Blyth, E.M. (2023). Hydro-PE: gridded datasets of historical and future Penman-Monteith potential evaporation for the United Kingdom. In Earth System Science Data (Vol. 15, Issue 10, pp. 4433-4461). Copernicus GmbH.";
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dcterms:bibliographicCitation "Griffin, A., Kay, A.L., Sayers, P., Bell, V., Stewart, E., & Carr, S. (2024). Widespread flooding dynamics under climate change: characterising floods using grid-based hydrological modelling and regional climate projections. In Hydrology and Earth System Sciences (Vol. 28, Issue 12, pp. 2635-2650). Copernicus GmbH.";
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