WFDE5: bias-adjusted ERA5 reanalysis data for impact studies

The WFDE5 dataset has been generated using the WATCH Forcing Data (WFD) methodology applied to surface meteorological variables from the ERA5 reanalysis. The WFDEI dataset had previously been generated by applying the WFD methodology to ERA-Interim. The WFDE5 is provided at 0.5.sup." spatial re...

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Veröffentlicht in:Earth system science data 2020-09, Vol.12 (3), p.2097-2120
Hauptverfasser: Cucchi, Marco, Weedon, Graham P, Amici, Alessandro, Bellouin, Nicolas, Lange, Stefan, Müller Schmied, Hannes, Hersbach, Hans, Buontempo, Carlo
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Sprache:eng
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Zusammenfassung:The WFDE5 dataset has been generated using the WATCH Forcing Data (WFD) methodology applied to surface meteorological variables from the ERA5 reanalysis. The WFDEI dataset had previously been generated by applying the WFD methodology to ERA-Interim. The WFDE5 is provided at 0.5.sup." spatial resolution but has higher temporal resolution (hourly) compared to WFDEI (3-hourly). It also has higher spatial variability since it was generated by aggregation of the higher-resolution ERA5 rather than by interpolation of the lower-resolution ERA-Interim data. Evaluation against meteorological observations at 13 globally distributed FLUXNET2015 sites shows that, on average, WFDE5 has lower mean absolute error and higher correlation than WFDEI for all variables. Bias-adjusted monthly precipitation totals of WFDE5 result in more plausible global hydrological water balance components when analysed in an uncalibrated hydrological model (WaterGAP) than with the use of raw ERA5 data for model forcing.
ISSN:1866-3516
1866-3508
1866-3516
DOI:10.5194/essd-12-2097-2020