Preprints
https://doi.org/10.5194/hess-2021-602
https://doi.org/10.5194/hess-2021-602
 
17 Dec 2021
17 Dec 2021
Status: a revised version of this preprint was accepted for the journal HESS and is expected to appear here in due course.

Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing

Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, Thomas Grünwald, and Christian Bernhofer Ivan Vorobevskii et al.
  • Faculty of Environmental Sciences, Department of Hydrosciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany

Abstract. Observation and estimation of evaporation is a challenging task. Evaporation occurs on each surface and is driven by different energy sources. Thus the correct process approximation in modelling of the terrestrial water balance plays a crucial part. Here, we use a physically-based 1D lumped soil-plant-atmosphere model (BROOK90) to study the role of parameter selection and meteorological input for modelled evaporation on the point scale. Then, with the integration of the model into global, regional and local frameworks, we made cross-combinations out of their parameterization and forcing schemes to analyse the associated model uncertainty.

Five sites with different land uses (grassland, cropland, deciduous broadleaf forest, two evergreen needleleaf forests) located in Saxony, Germany were selected for the study. All combinations of the model setups were validated using FLUXNET data and various goodness of fit criteria. The output from a calibrated model with in-situ meteorological measurements served as a benchmark. We focused on the analysis of the model performance with regard to different time-scales (daily, monthly, and annual). Additionally, components of evaporation are addressed, including their representation in BROOK90. Finally, all results are discussed in the context of different sources of uncertainty: model process representation, input meteorological data and evaporation measurements themselves.

Ivan Vorobevskii et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review of hess-2021-602', Anonymous Referee #1, 18 Jan 2022
    • AC1: 'Reply on RC1', Ivan Vorobevskii, 10 Mar 2022
  • RC2: 'Comment on hess-2021-602', Anonymous Referee #2, 26 Jan 2022
    • AC2: 'Reply on RC2', Ivan Vorobevskii, 10 Mar 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review of hess-2021-602', Anonymous Referee #1, 18 Jan 2022
    • AC1: 'Reply on RC1', Ivan Vorobevskii, 10 Mar 2022
  • RC2: 'Comment on hess-2021-602', Anonymous Referee #2, 26 Jan 2022
    • AC2: 'Reply on RC2', Ivan Vorobevskii, 10 Mar 2022

Ivan Vorobevskii et al.

Ivan Vorobevskii et al.

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Short summary
In the study we analysed the uncertainties of the meteorological data and model parameretization for evaporation modelling. We have taken a physically-based lumped BROOK90 model and applied it in 3 different frameworks using global, regional and local datasets. Validating the simulations with eddy-covariance data from 5 stations in Germany we found that the accuracy model parameterization plays a bigger role than the quality of the meteorological forcing.