Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-2097-2020
https://doi.org/10.5194/essd-12-2097-2020
Data description paper
 | 
08 Sep 2020
Data description paper |  | 08 Sep 2020

WFDE5: bias-adjusted ERA5 reanalysis data for impact studies

Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Stefan Lange, Hannes Müller Schmied, Hans Hersbach, and Carlo Buontempo

Data sets

WFDE5: Near surface meteorological variables from 1979 to 2018 derived from bias-corrected reanalysis C3S https://doi.org/10.24381/cds.20d54e34

WFDE5: Near surface meteorological variables from 1979 to 2018 derived from bias-corrected reanalysis - 2016 sample M.Cucchi, G. P. Weedon, A. Amici, N. Bellouin, S. Lange, H. Muller Schmied, H. Hersbach and C. Buontempo https://doi.org/10.21957/935p-cj60

Model code and software

WFDE5: Near surface meteorological variables from 1979 to 2018 derived from bias-corrected reanalysis - Source code C3S https://doi.org/10.24381/cds.20d54e34

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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.
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