Articles | Volume 26, issue 12
https://doi.org/10.5194/hess-26-3177-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3177-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jun 2022
Research article |
| 22 Jun 2022
| 22 Jun 2022
Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing
Ivan Vorobevskii
CORRESPONDING AUTHOR
Faculty of Environmental Sciences, Department of Hydrosciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Technische Universität
Dresden, Tharandt 01737, Germany
Thi Thanh Luong
Faculty of Environmental Sciences, Department of Hydrosciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Technische Universität
Dresden, Tharandt 01737, Germany
Rico Kronenberg
Faculty of Environmental Sciences, Department of Hydrosciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Technische Universität
Dresden, Tharandt 01737, Germany
Thomas Grünwald
Faculty of Environmental Sciences, Department of Hydrosciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Technische Universität
Dresden, Tharandt 01737, Germany
Christian Bernhofer
Faculty of Environmental Sciences, Department of Hydrosciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Technische Universität
Dresden, Tharandt 01737, Germany
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Short summary
In the study we analysed the uncertainties of the meteorological data and model parameterization for evaporation modelling. We have taken a physically based lumped BROOK90 model and applied it in three different frameworks using global, regional and local datasets. Validating the simulations with eddy-covariance data from five stations in Germany, we found that the accuracy model parameterization plays a bigger role than the quality of the meteorological forcing.
In the study we analysed the uncertainties of the meteorological data and model parameterization...
