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

Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2015) [CHESS-PE]
(CHESS-PE)

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THIS DATASET HAS BEEN SUPERSEDED The latest version is Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE]

A bug was discovered in the code which produces PETI, and has been fixed for this release. We have also improved the file metadata, including the projection information.

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

https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7
1km resolution gridded potential evapotranspiration over Great Britain for the years 1961-2015. 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].

[1] Monteith, J.L.: Evaporation and environment, in: 19th Symposia of the Society for Experimental Biology, University Press, Cambridge, 1965
[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.
[3] Robinson, E.L., Blyth, E., Clark, D.B., Finch, J., Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorological dataset (1961-2015) [CHESS-met] . NERC-Environmental Information Data Centre https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2
Publication date: 2016-12-14
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View numbers valid from 01 June 2023 (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    2015-12-31

Provenance & quality

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.

This version of the CHESS-PE dataset differs from the previous version (1961-2012) only by temporal coverage. That is, previous years' data have not been modified.

[1] Monteith, J. L.: Evaporation and environment, in: 19th Symposia of the Society for Experimental Biology, University Press, Cambridge, 1965
[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.
[3] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2016). Climate hydrology and ecology research support system meteorological dataset (1961-2015) [CHESS-met] . NERC-Environmental Information Data Centre https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2
[4] 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
[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 https://doi.org/10.5194/essdd-8-83-2015.

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 (1961-2017) [CHESS-PE]

A bug was discovered in the code which produces PETI, and has been fixed for this release. We have also improved the file metadata, including the projection information.

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.; Clark, D.B.; Comyn-Platt, E.; Finch, J.; Rudd, A.C. (2016). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2015) [CHESS-PE] . NERC Environmental Information Data Centre. https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7

Citations

Parsons, D. J., Rey, D., Tanguy, M., & Holman, I. P. (2019). Regional variations in the link between drought indices and reported agricultural impacts of drought. Agricultural Systems, 173, 119-129. https://doi.org/10.1016/j.agsy.2019.02.015
Harrigan, S., Prudhomme, C., Parry, S., Smith, K., & Tanguy, M. (2018). Benchmarking ensemble streamflow prediction skill in the UK. Hydrology and Earth System Sciences, 22(3), 2023-2039. https://doi.org/10.5194/hess-22-2023-2018
Tanguy, M., Prudhomme, C., Smith, K., & Hannaford, J. (2018). Historical gridded reconstruction of potential evapotranspiration for the UK. Earth System Science Data, 10(2), 951-968. https://doi.org/10.5194/essd-10-951-2018
Lloyd, C. E. M., Johnes, P. J., Freer, J. E., Carswell, A. M., Jones, J. I., Stirling, M. W., … Collins, A. L. (2019). Determining the sources of nutrient flux to water in headwater catchments: Examining the speciation balance to inform the targeting of mitigation measures. Science of The Total Environment, 648, 1179-1200. https://doi.org/10.1016/j.scitotenv.2018.08.190
Coxon, G., Freer, J., Lane, R., Dunne, T., Knoben, W. J. M., Howden, N. J. K., … Woods, R. (2019). DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology. Geoscientific Model Development, 12(6), 2285-2306. https://doi.org/10.5194/gmd-12-2285-2019
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Birkinshaw, S.J., O'Donnell, G., Glenis, V., & Kilsby, C. (2021). Improved hydrological modelling of urban catchments using runoff coefficients. Journal of Hydrology, 594, 125884. https://doi.org/10.1016/j.jhydrol.2020.125884
Wendt, D.E., Van Loon, A.F., Bloomfield, J.P., & Hannah, D.M. (2020). Asymmetric impact of groundwater use on groundwater droughts. Hydrology and Earth System Sciences, 24(10), 4853-4868. https://doi.org/10.5194/hess-24-4853-2020 https://doi.org/10.5194/hess-24-4853-2020
Lane, R.A., Coxon, G., Freer, J.E., Wagener, T., Johnes, P.J., Bloomfield, J.P., ... Reaney, S.M. (2019). Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain. Hydrology and Earth System Sciences, 23(10), 4011-4032. https://doi.org/10.5194/hess-23-4011-2019
Chengot, R., Knox, J. W., & Holman, I. P. (2021). Evaluating the Feasibility of Water Sharing as a Drought Risk Management Tool for Irrigated Agriculture. In Sustainability (Vol. 13, Issue 3, p. 1456). MDPI AG. https://doi.org/10.3390/su13031456
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Supplemental information

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. Notice that this application displays data up to 2012 for now.

Correspondence/contact details

Emma Robinson
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Authors

Robinson, E.L.
Centre for Ecology & Hydrology
Blyth, E.
Centre for Ecology & Hydrology
Clark, D.B.
Centre for Ecology & Hydrology
Comyn-Platt, E.
Centre for Ecology & Hydrology
Finch, J.
Centre for Ecology & Hydrology
Rudd, A.C.
Centre for Ecology & Hydrology

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
climatologyMeteorologyAtmosphere
INSPIRE theme
Meteorological geographical features
Keywords
Climate and climate change , evaporation , evapotranspiration , Great Britain , gridded data , interception , Modelling , transpiration
Last updated
12 September 2024 08:22