Historic Gridded Potential Evapotranspiration (PET) based on temperature-based equation McGuinness-Bordne calibrated for the UK (1891-2015)
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.
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.
Publication date: 2017-09-18
View record as
Format
netCDF
Spatial information
- Study area
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- Spatial representation type
- Raster
- Spatial reference system
- OSGB 1936 / British National Grid
Temporal information
- Temporal extent
-
1891-01-01 to 2015-12-31
Provenance & quality
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.
Related
Services associated with this dataset
This dataset is included in the following collections
Citations
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
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
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. https://doi.org/10.1088/1748-9326/aac78c
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
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. https://doi.org/10.5194/hess-23-3247-2019
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. https://doi.org/10.1007/s11852-020-00781-5
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 https://doi.org/10.1016/j.jhydrol.2022.128163
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. https://doi.org/10.5194/hess-23-4583-2019
Fan, Y. (2024) Ensemble flood predictions for River Thames under climate change. National Science Open 3, 20230027. https://doi.org/10.1360/nso/20230027
Correspondence/contact details
Dr. Maliko Tanguy
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
https://orcid.org/0000-0002-1516-6834 Other contacts
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
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NERC Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- climatologyMeteorologyAtmosphere
- INSPIRE theme
- Meteorological geographical features
- Keywords
- Drought catalogue , Drought inventory , Droughts , Historic Droughts , McGuinness-Bordne , Potential Evapotranspiration , Reconstructions , United Kingdom , Water scarcity
- Last updated
- 19 April 2024 08:32