Tanguy, M.; Prudhomme, C.; Smith, K.; Hannaford, J.

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.


Publication date: 2017-09-18

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Supporting documentation

Format of the dataset : netCDF

Access and use conditions

Licence terms and conditions apply

You must 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

 

This dataset is part of the following

Where/When

Study area
Temporal extent
1891-01-01    to    2015-12-31

Supplemental information

Data papers that describe this dataset:

Tanguy, M., Prudhomme, C., Smith, K., and Hannaford, J.: Historical gridded reconstruction of potential evapotranspiration for the UK, Earth Syst. Sci. Data, 10, 951-968.

Quality

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. 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.

Authors

Tanguy, M.
Centre for Ecology & Hydrology
Prudhomme, C.
Centre for Ecology & Hydrology
Smith, K.
Centre for Ecology & Hydrology
Hannaford, J.
Centre for Ecology & Hydrology

Other contacts

Point Of Contact
Maliko Tanguy
Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
United Kingdom
Custodian
Environmental Information Data Centre
Publisher
NERC Environmental Information Data Centre

Spatial

Spatial representation type
Raster
Spatial reference system
OSGB 1936 / British National Grid

Keywords

Topic categories
Climatology / Meteorology / Atmosphere
INSPIRE Theme
Meteorological geographical features
Place keywords
United Kingdom
Project keywords
Historic Droughts
Temporal keywords
Reconstructions
Theme keywords
Droughts
Water scarcity
Drought inventory
Drought catalogue
Potential Evapotranspiration
McGuinness-Bordne

Dataset identifiers

https://catalogue.ceh.ac.uk/id/17b9c4f7-1c30-4b6f-b2fe-f7780159939c
doi:10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c

Metadata

Information maintained by
Maliko Tanguy
Centre for Ecology & Hydrology
Last updated
2018-06-08T09:49:09