Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4159-2020
© 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/gmd-13-4159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the land-surface energy partitioning in ERA5
Hydro-Climate Extremes Lab (H-CEL) – Ghent University, Coupure links 653, 9000 Ghent, Belgium
Dominik L. Schumacher
Hydro-Climate Extremes Lab (H-CEL) – Ghent University, Coupure links 653, 9000 Ghent, Belgium
Hendrik Wouters
Hydro-Climate Extremes Lab (H-CEL) – Ghent University, Coupure links 653, 9000 Ghent, Belgium
Flemish Institute for Technological Research – Environmental Modelling Unit, Boeretang 200, 2400 Mol, Belgium
Joaquín Muñoz-Sabater
European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, United Kingdom
Niko E. C. Verhoest
Hydro-Climate Extremes Lab (H-CEL) – Ghent University, Coupure links 653, 9000 Ghent, Belgium
Diego G. Miralles
Hydro-Climate Extremes Lab (H-CEL) – Ghent University, Coupure links 653, 9000 Ghent, Belgium
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Latest update: 13 Dec 2024
Short summary
Climate reanalyses are widely used in different fields and an in-depth evaluation of the different variables provided by reanalyses is a necessary means to provide feedback on the quality to their users and the operational centres producing these data sets. In this study, we show the improvements of ECMWF's latest climate reanalysis (ERA5) upon its predecessor (ERA-Interim) in partitioning the available energy at the land surface.
Climate reanalyses are widely used in different fields and an in-depth evaluation of the...