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

THIS DATASET HAS BEEN SUPERSEDED The latest version is Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2019) [CHESS-PE]

If you need access to the archived version, please contact the EIDC

Supporting docs Cite this dataset

THIS DATASET HAS BEEN SUPERSEDED The latest version is Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2019) [CHESS-PE]

If you need access to the archived version, please contact the EIDC

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

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

11 citations

115 downloads *

2,546 views *

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

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.

Licensing and constraints

THIS DATASET HAS BEEN SUPERSEDED The latest version is Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2019) [CHESS-PE]

If you need access to the archived version, please contact the EIDC

Licence terms and conditions apply

Cite this dataset as:

Robinson, E.L.; Blyth, E.M.; Clark, D.B.; Comyn-Platt, E.; Rudd, A.C. (2020). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE]. NERC Environmental Information Data Centre. https://doi.org/10.5285/9116e565-2c0a-455b-9c68-558fdd9179ad

BibTeX RIS

The following acknowledgement and copyright notice (where applicable), shall, unless otherwise stated, be used on all copies of the Data, publications and reports, including but not limited to, use in presentations to any audience: "Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE] data licensed from UK Centre for Ecology & Hydrology. © Database Right/Copyright UK Centre for Ecology & Hydrology. All rights reserved. Contains material based on Met Éireann data © Met Éireann, Met Office and OS data © Crown copyright and database right 2017 and University of East Anglia Climatic Research Unit © CRU"

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

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

Reyniers, N., Osborn, T.J., Addor, N. & Darch, G. (2023) Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index. Hydrology and Earth System Sciences 27, 1151–1171. https://doi.org/10.5194/hess-27-1151-2023

Collins, S.L., Verhoef, A., Mansour, M., Jackson, C.R., Short, C. & Macdonald, D.M.J. (2023) Modelling the effectiveness of land‐based natural flood management in a large, permeable catchment. Journal of Flood Risk Management 16. https://doi.org/10.1111/jfr3.12896

Tso, C.-H.M., Blyth, E., Tanguy, M., Levy, P.E., Robinson, E.L., Bell, V., Zha, Y., & Fry, M. (2023). Multiproduct Characterization of Surface Soil Moisture Drydowns in the United Kingdom. In Journal of Hydrometeorology (Vol. 24, Issue 12, pp. 2299–2319). American Meteorological Society. https://doi.org/10.1175/jhm-d-23-0018.1

May, L., Taylor, P., Gunn, I.D.M., Thackeray, S.J., Carvalho, L.R., Hunter, P., Corr, M., Dobel, A.J., Grant, A., Nash, G., Robinson, E. & Spears, B.M. (2022). Assessing climate change impacts on the water quality of Scottish standing waters | CREW | Scotland's Centre of Expertise for Waters. Center of Expertise for Waters. https://www.crew.ac.uk/publication/assessing-climate-change-impacts-water-quality-scottish-standing-waters

Center of Expertise for Waters (2024). Mitigating climate change impacts on the water quality of Scottish standing waters. https://www.crew.ac.uk/publication/mitigating-climate-change-phase-2