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PET was derived using temperature-based equation from McGuinness-Bordne calibrated for the UK (calibration period: 1961-1990). The units are mm/day for daily PET and mm/month for monthly PET. The dataset covers the period from 1891-2015.\n\nFor both subsets (daily and monthly), a set of performance metrics were calculated, which are provided together with the PET grids. The list of metrics provided is: Mean Absolute Percent Error (MAPE), Nash-Sutcliffe Efficiency (NSE), Kling-Gupta Efficiency (KGE), Correlation Coefficient, Variability Ratio (VR), Bias Ratio and monthly MAPE.","distributionFormats":[{"name":"NetCDF","type":"application/netcdf","version":"4"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"id":"17b9c4f7-1c30-4b6f-b2fe-f7780159939c","incomingCitationCount":10,"incomingCitations":[{"description":"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.","url":"https://doi.org/10.5194/essd-10-951-2018"},{"description":"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. ","url":"https://doi.org/10.5194/hess-22-2023-2018"},{"description":"Parry, S., Wilby, R., Prudhomme, C., Wood, P., & McKenzie, A. (2018). Demonstrating the utility of a drought termination framework: prospects for groundwater level recovery in England and Wales in 2018 or beyond. Environmental Research Letters, 13(6), 64040.","url":"https://doi.org/10.1088/1748-9326/aac78c"},{"description":"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.","url":"https://doi.org/10.1016/j.agsy.2019.02.015"},{"description":"Smith, K.A., Barker, L.J., Tanguy, M., Parry, S., Harrigan, S., Legg, T.P., Prudhomme, C., & Hannaford, J. (2019). A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction. In Hydrology and Earth System Sciences (Vol. 23, Issue 8, pp. 3247–3268). Copernicus GmbH.","url":"https://doi.org/10.5194/hess-23-3247-2019"},{"description":"Pye, K., Blott, S. J., Forbes, N., & Maskell, L.C. (2020). Geomorphological and ecological change in a coastal foreland dune system, Sandscale haws, Cumbria, UK: the management challenges posed by climate change. In Journal of Coastal Conservation (Vol. 24, Issue 6). Springer Science and Business Media LLC.","url":"https://doi.org/10.1007/s11852-020-00781-5"},{"description":"Fan, Y.R., Shi, X., Duan, Q.Y., & Yu, L. (2022). Towards reliable uncertainty quantification for hydrologic predictions, Part I: Development of a particle copula Metropolis Hastings method. In Journal of Hydrology (Vol. 612, p. 128163). Elsevier BV","url":"https://doi.org/10.1016/j.jhydrol.2022.128163"},{"description":"Barker, L.J., Hannaford, J., Parry, S., Smith, K.A., Tanguy, M., & Prudhomme, C. (2019). Historic hydrological droughts 1891-2015: systematic characterisation for a diverse set of catchments across the UK.Hydrology and Earth System Sciences, 23(11), 4583-4602.","url":"https://doi.org/10.5194/hess-23-4583-2019"},{"description":"Fan, Y. (2024) Ensemble flood predictions for River Thames under climate change. National Science Open 3, 20230027.","url":"https://doi.org/10.1360/nso/20230027"},{"description":"Jacque, H., Knox, J.W., Gush, M., & Holman, I.P. (2023). Modelling the potential of rainwater harvesting to improve the sustainability of landscape and public garden irrigation. In Journal of Environmental Management (Vol. 348, p. 119167). Elsevier BV.","url":"https://doi.org/10.1016/j.jenvman.2023.119167"}],"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/17b9c4f7-1c30-4b6f-b2fe-f7780159939c.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","eidcDistribution":false,"type":"OTHER"}],"inspireThemes":[{"theme":"Meteorological geographical features","uri":"http://inspire.ec.europa.eu/theme/mf"}],"keywordsOther":[{"value":"Droughts "},{"value":"Water scarcity "},{"value":"Drought inventory"},{"value":"Drought catalogue"},{"value":"Potential Evapotranspiration"},{"value":"McGuinness-Bordne"},{"value":"Reconstructions"}],"keywordsPlace":[{"value":"United Kingdom","uri":"http://sws.geonames.org/2635167"}],"keywordsProject":[{"value":"Historic Droughts"}],"licences":[{"value":"Licence terms and conditions apply","code":"license","uri":"https://eidc.ac.uk/licences/historic-PET/plain"}],"lineage":"Potential Evapotranspiration (PET) for this dataset was derived using temperature-based equation from McGuinness-Bordne (Oudin et al., 2005, doi: 10.1016/j.jhydrol.2004.08.026). The temperature used to derive the PET grids are the 5km mean temperature grids provided by the Met Office, which were derived using the same methodology as UKCP09 dataset (Perry and Hollis, 2005, doi:10.1002/joc.1161). The monthly temperature data was then disaggregated to daily temperature time series using pchip (piecewise cubic hermite interpolating polynomial) method. McGuinness-Bordne temperature-based Potential Evapotranspiration (PET) equation was calibrated for the UK (calibration period: 1961-1990). This calibrated version was then applied to produce the gridded daily PET. Monthly totals were derived from the daily PET grids to produce monthly PET grids. A set of performance metrics (Mean Absolute Percent Error (MAPE), Nash-Sutcliffe Efficiency (NSE), Kling-Gupta Efficiency (KGE), Correlation Coefficient, Variability Ratio (VR), Bias Ratio and monthly MAPE) were calculate to estimate the goodness-of-fit of the McGuinness-Bordne equation. 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