Robinson, E.L.; Blyth, E.M.; Clark, D.B.; Comyn-Platt, E.; Rudd, A.C.

Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE]

https://doi.org/10.5285/9116e565-2c0a-455b-9c68-558fdd9179ad Cite this dataset

This is the most recent version of this dataset

Gridded potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2).

The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set.

This data set supersedes the previous version as bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved.

Publication date: 2020-06-18

Format

NetCDF

Spatial information

Study area
Spatial representation type: Raster
Spatial reference system: OSGB 1936 / British National Grid

Temporal information

Temporal extent: 1961-01-01 to 2017-12-31

Provenance & quality

This data set is derived from the CHESS-met meteorological variables. The daily total potential evapotranspiration (PET; kg m-2) is calculated using a version of the Penman-Monteith equation parameterised for FAO-defined well-watered grass. The daily total potential evapotranspiration with interception correction (PETI; kg m-2), adds a correction for interception by a well-watered grass on rain days. A description of the methodology is available in the supporting documentation.

Services associated with this dataset

Daily estimates for meteorological and potential evapotranspiration variables (CHESS) and soil moisture estimates (JULES) at COSMOS-UK sites, 2013-2017

This dataset is included in the following collections

Climate hydrology and ecology research support system [CHESS]

Citations

Murgatroyd, A., & Hall, J.W. (2020). The Resilience of Inter-basin Transfers to Severe Droughts With Changing Spatial Characteristics. Frontiers in Environmental Science, 8. https://doi.org/10.3389/fenvs.2020.571647

Cooper, H. M., Bennett, E., Blake, J., Blyth, E., Boorman, D., Cooper, E., Evans, J., Fry, M., Jenkins, A., Morrison, R., Rylett, D., Stanley, S., Szczykulska, M., Trill, E., Antoniou, V., Askquith-Ellis, A., Ball, L., Brooks, M., Clarke, M. A., … Winterbourn, B. (2021). COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research. In Earth System Science Data (Vol. 13, Issue 4, pp. 1737–1757). Copernicus GmbH. https://doi.org/10.5194/essd-13-1737-2021

Birkinshaw, S. J., O’Donnell, G., Glenis, V., & Kilsby, C. (2021). Improved hydrological modelling of urban catchments using runoff coefficients. In Journal of Hydrology (Vol. 594, p. 125884). Elsevier BV. https://doi.org/10.1016/j.jhydrol.2020.125884

Monger, F., Spracklen, D., Kirkby, M., & Schofield, L. (2022). The impact of semi‐natural broadleaf woodland and pasture on soil properties and flood discharge. In Hydrological Processes (Vol. 36, Issue 1). Wiley. https://doi.org/10.1002/hyp.14453

Gosal, A. S., Evans, P. M., Bullock, J. M., Redhead, J., Charlton, M. B., Cord, A. F., Johnson, A., & Ziv, G. (2022). Understanding the accuracy of modelled changes in freshwater provision over time. In Science of The Total Environment (Vol. 833, p. 155042). Elsevier BV. https://doi.org/10.1016/j.scitotenv.2022.155042

Kay, A.L., Rudd, A.C., & Coulson, J. (2023). Spatial downscaling of precipitation for hydrological modelling: Assessing a simple method and its application under climate change in Britain. In Hydrological Processes (Vol. 37, Issue 2). Wiley. https://doi.org/10.1002/hyp.14823

Supplemental information

Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data

This article cites a superseded version of this dataset.

Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015

This article cites a superseded version of this dataset.