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)

https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7 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THIS DATASET HAS BEEN SUPERSEDED.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 (1961-2017) [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 this archived version, please contact the EIDC

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

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.

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

Rust, W., Holman, I., Bloomfield, J., Cuthbert, M., & Corstanje, R. (2019). Understanding the potential of climate teleconnections to project future groundwater drought. Hydrology and Earth System Sciences, 23(8), 3233-3245. https://doi.org/10.5194/hess-23-3233-2019

Gnann, S.J., Woods, R.A., & Howden, N.J.K. (2019). Is There a Baseflow Budyko Curve? Water Resources Research, 55(4), 2838-2855. https://doi.org/10.1029/2018wr024464

Afzal, M., & Ragab, R. (2019). Drought Risk under Climate and Land Use Changes: Implication to Water Resource Availability at Catchment Scale. Water, 11(9), 1790. https://doi.org/10.3390/w11091790

Coxon, G., Addor, N., Bloomfield, J.P., Freer, J., Fry, M., Hannaford, J., Howden, N.J.K., Lane, R., Lewis, M., Robinson, E.L., Wagener, T., & Woods, R. (2020). CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth System Science Data, 12(4), 2459-2483. https://doi.org/10.5194/essd-12-2459-2020

Gnann, S.J., Howden, N.J.K., & Woods, R.A. (2020). Hydrological signatures describing the translation of climate seasonality into streamflow seasonality. Hydrology and Earth System Sciences, 24(2), 561-580. https://doi.org/10.5194/hess-24-561-2020

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

Afzal, M., & Ragab, R. (2020). Assessment of the potential impacts of climate change on the hydrology at catchment scale: modelling approach including prediction of future drought events using drought indices. In Applied Water Science (Vol. 10, Issue 10). Springer Science and Business Media LLC. https://doi.org/10.1007/s13201-020-01293-1

Ragab, R., Kaelin, A., Afzal, M., & Panagea, I. (2020). Application of Generalized Likelihood Uncertainty Estimation (GLUE) at different temporal scales to reduce the uncertainty level in modelled river flows. In Hydrological Sciences Journal (Vol. 65, Issue 11, pp. 1856-1871). Informa UK Limited. https://doi.org/10.1080/02626667.2020.1764961

Dobson, B., Coxon, G., Freer, J., Gavin, H., Mortazavi-Naeini, M., & Hall, J. W. (2020). The Spatial Dynamics of Droughts and Water Scarcity in England and Wales. In Water Resources Research (Vol. 56, Issue 9). American Geophysical Union (AGU). https://doi.org/10.1029/2020wr027187

Cheng, S., Cheng, L., Liu, P., Qin, S., Zhang, L., Xu, C., Xiong, L., Liu, L., & Xia, J. (2021). An Analytical Baseflow Coefficient Curve for Depicting the Spatial Variability of Mean Annual Catchment Baseflow. In Water Resources Research (Vol. 57, Issue 8). American Geophysical Union (AGU). https://doi.org/10.1029/2020wr029529

Byers, E. A., Coxon, G., Freer, J., & Hall, J. W. (2020). Drought and climate change impacts on cooling water shortages and electricity prices in Great Britain. In Nature Communications (Vol. 11, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41467-020-16012-2

Haro-Monteagudo, D., Daccache, A., & Knox, J. (2017). Exploring the utility of drought indicators to assess climate risks to agricultural productivity in a humid climate. In Hydrology Research (Vol. 49, Issue 2, pp. 539-551). IWA Publishing. https://doi.org/10.2166/nh.2017.010

Dobson, B., Wagener, T., & Pianosi, F. (2019). How Important Are Model Structural and Contextual Uncertainties when Estimating the Optimized Performance of Water Resource Systems? In Water Resources Research (Vol. 55, Issue 3, pp. 2170-2193). American Geophysical Union (AGU). https://doi.org/10.1029/2018wr024249

Ferguson, C., & Fenner, R. (2020). Evaluating the effectiveness of catchment-scale approaches in mitigating urban surface water flooding. In Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (Vol. 378, Issue 2168, p. 20190203). The Royal Society. https://doi.org/10.1098/rsta.2019.0203

Wallace, E. E., McShane, G., Tych, W., Kretzschmar, A., McCann, T., & Chappell, N. A. (2021). The effect of hedgerow wild-margins on topsoil hydraulic properties, and overland-flow incidence, magnitude and water-quality. In Hydrological Processes (Vol. 35, Issue 3). Wiley. https://doi.org/10.1002/hyp.14098

Murgatroyd, A., & Hall, J. W. (2021). Selecting Indicators and Optimizing Decision Rules for Long-Term Water Resources Planning. In Water Resources Research (Vol. 57, Issue 5). American Geophysical Union (AGU). https://doi.org/10.1029/2020wr028117

Chen, Y., Paschalis, A., Wang, L.-P., & Onof, C. (2021). Can we estimate flood frequency with point-process spatial-temporal rainfall models? In Journal of Hydrology (Vol. 600, p. 126667). Elsevier BV. https://doi.org/10.1016/j.jhydrol.2021.126667

Comber, A., Collins, A. L., Haro-Monteagudo, D., Hess, T., Zhang, Y., Smith, A., & Turner, A. (2019). A Generic Approach for Live Prediction of the Risk of Agricultural Field Runoff and Delivery to Watercourses: Linking Parsimonious Soil-Water-Connectivity Models With Live Weather Data Apis in Decision Tools. In Frontiers in Sustainable Food Systems (Vol. 3). Frontiers Media SA. https://doi.org/10.3389/fsufs.2019.00042

Krivtsov, V., Forbes, H., Birkinshaw, S., Olive, V., Chamberlain, D., Buckman, J., Yahr, R., Arthur, S., Christie, D., Monteiro, Y., & Diekonigin, C. (2022). Ecosystem services provided by urban ponds and green spaces: a detailed study of a semi-natural site with global importance for research. In Blue-Green Systems (Vol. 4, Issue 1, pp. 1-23). IWA Publishing. https://doi.org/10.2166/bgs.2022.021

Levy, P., Clement, R., Cowan, N., Keane, B., Myrgiotis, V., Oijen, M., Smallman, T. L., Toet, S., & Williams, M. (2022). Challenges in Scaling Up Greenhouse Gas Fluxes: Experience From the UK Greenhouse Gas Emissions and Feedbacks Program. In Journal of Geophysical Research: Biogeosciences (Vol. 127, Issue 5). American Geophysical Union (AGU). https://doi.org/10.1029/2021jg006743

Wang, J., Zhuo, L., Rico‐Ramirez, M.A., Abdelhalim, A. & Han, D. (2023) Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling. Water Resources Research 59. https://doi.org/10.1029/2022wr033323

Ferguson, C. & Fenner, R. (2019) Evaluating the effectiveness of catchment-scale approaches in mitigating urban surface water flooding. The Royal Society https://doi.org/10.17863/cam.45856

Supplemental information

CHESS Explorer

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