Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM)

https://doi.org/10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4

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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.

Publication date: 2021-08-11

8 citations

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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

NetCDF

Spatial information

Study area

Spatial representation type

Raster

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

1980-12-01 to 2080-11-30

Provenance & quality

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.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

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

BibTeX RIS

Citations

Kay, A.(2022). Differences in hydrological impacts using regional climate model and nested convection-permitting model data. Climatic Change, 173(1-2). https://doi.org/10.1007/s10584-022-03405-z

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. https://doi.org/10.1088/1748-9326/ac7a4e

Robinson, E.L. (2023) NERC-CEH/hydro-pe: v1.0.0. Zenodo https://doi.org/10.5281/zenodo.8363128

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. https://doi.org/10.5194/essd-15-2533-2023

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. https://doi.org/10.5194/essd-15-4433-2023

Hannaford, J., Mackay, J.D., Ascott, M., Bell, V.A., Chitson, T., Cole, S., Counsell, C., Durant, M., Jackson, C.R., Kay, A.L., Lane, R.A., Mansour, M., Moore, R., Parry, S., Rudd, A.C., Simpson, M., Facer-Childs, K., Turner, S., Wallbank, J. R., … Wilcox, A. (2023). The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18. In Earth System Science Data (Vol. 15, Issue 6, pp. 2391–2415). Copernicus GmbH. https://doi.org/10.5194/essd-15-2391-2023

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. https://doi.org/10.5194/hess-28-2635-2024

Environment Agency (2023). Review of the research and scientific understanding of drought. The UK Government. https://www.gov.uk/government/publications/review-of-the-research-and-scientific-understanding-of-drought