Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony

Version 1 : Received: 16 October 2020 / Approved: 19 October 2020 / Online: 19 October 2020 (09:45:24 CEST)

A peer-reviewed article of this Preprint also exists.

Luong, T.T.; Pöschmann, J.; Vorobevskii, I.; Wiemann, S.; Kronenberg, R.; Bernhofer, C. Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony. Hydrology 2020, 7, 84. Luong, T.T.; Pöschmann, J.; Vorobevskii, I.; Wiemann, S.; Kronenberg, R.; Bernhofer, C. Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony. Hydrology 2020, 7, 84.

Abstract

Highly-resolved data on water balance components (like runoff or storage) are crucial to improve water management, e.g., in drought or flood situations. Because regional observations of these components cannot be acquired adequately, applying water balance models is a feasible solution. We developed an innovative approach using the physically-based lumped-parameter water balance model BROOK90 (R version) integrated into a sensor network platform to derive daily water budget components for catchments in the Free State of Saxony. The model is not calibrated but rather uses available information on soil, land use and precipitation only. We applied the hydro response units (HRUs) approach for 6175 small and medium-sized catchments. For the evaluation, model output was cross-evaluated in ten selected head catchments in a low mountain range in Saxony. The mean values of Kling-Gupta efficiency (KGE) for the period 2005-2019 to these catchments are 0.63 and 0.75 for daily and monthly discharge simulations, respectively. The simulated evapotranspiration and soil wetness are in good agreement with the SMAP_L4_GPH product in April 2015-2018. The study can be enhanced by using different data platforms as well as available information on study sites.

Keywords

water balance components; soil moisture simulation; hydro response unit; BROOK90; SMAP soil moisture data

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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