17b9c4f7-1c30-4b6f-b2fe-f7780159939c English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-02-06T14:13:26 UK GEMINI 2.3 OSGB 1936 / British National Grid Historic Gridded Potential Evapotranspiration (PET) based on temperature-based equation McGuinness-Bordne calibrated for the UK (1891-2015) 2017-09-18 publication 2017-09-05 creation https://catalogue.ceh.ac.uk/id/17b9c4f7-1c30-4b6f-b2fe-f7780159939c 10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c doi: Tanguy, M., Prudhomme, C., Smith, K., Hannaford, J. (2017). Historic Gridded Potential Evapotranspiration (PET) based on temperature-based equation McGuinness-Bordne calibrated for the UK (1891-2015). NERC Environmental Information Data Centre 10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c Monthly and daily 5km gridded Potential Evapotranspiration (PET) data for the UK. 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. For 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. Full details about this dataset can be found at https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c Tanguy, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Tanguy, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-1516-6834 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Prudhomme, C. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1722-2497 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Smith, K. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1060-9103 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hannaford, J. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5256-3310 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher notPlanned Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication United Kingdom GeoNames 2006-01-01 creation Historic Droughts Droughts Water scarcity Drought inventory Drought catalogue Potential Evapotranspiration McGuinness-Bordne Reconstructions otherRestrictions Registration is required to access this data otherRestrictions Licence terms and conditions apply otherRestrictions If you reuse this data, you should cite: Tanguy, M., Prudhomme, C., Smith, K., Hannaford, J. (2017). Historic Gridded Potential Evapotranspiration (PET) based on temperature-based equation McGuinness-Bordne calibrated for the UK (1891-2015). NERC Environmental Information Data Centre https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c grid 5000 English utf8 climatologyMeteorologyAtmosphere 1891-01-01 2015-12-31 -8.648 1.768 49.864 60.861 netCDF 4 NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/17b9c4f7-1c30-4b6f-b2fe-f7780159939c/ Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/17b9c4f7-1c30-4b6f-b2fe-f7780159939c.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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. These metrics are provided as grids as part of the dataset, and can be used as a measure of the spatial variability of the quality of the data.