Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-2097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-2097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
WFDE5: bias-adjusted ERA5 reanalysis data for impact studies
Marco Cucchi
B-Open Solutions s.r.l., Rome, Italy
Graham P. Weedon
Met Office, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Alessandro Amici
B-Open Solutions s.r.l., Rome, Italy
Nicolas Bellouin
Department of Meteorology, University of Reading, Reading, Berkshire, RG6 6BB, UK
Stefan Lange
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Hannes Müller Schmied
Institute of Physical Geography, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
Senckenberg Leibniz Biodiversity and Climate Research Centre (SBiK-F), 60325 Frankfurt am Main, Germany
Hans Hersbach
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX Berkshire, UK
Carlo Buontempo
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX Berkshire, UK
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Latest update: 18 Apr 2024
Short summary
WFDE5 is a novel meteorological forcing dataset for running land surface and global hydrological models. It has been generated using the WATCH Forcing Data methodology applied to surface meteorological variables from the ERA5 reanalysis. It is publicly available, along with its source code, through the C3S Climate Data Store at ECMWF. Results of the evaluations described in the paper highlight the benefits of using WFDE5 compared to both ERA5 and its predecessor WFDEI.
WFDE5 is a novel meteorological forcing dataset for running land surface and global hydrological...
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