Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R

•Sensitivity analysis of LWF-Brook90 revealed a distinct parameter importance ranking•Bayesian calibration indicated high water use for a poplar short rotation forest•The LWF-Brook90 SVAT model excellently captures temporal variations of soil moisture•The LWFBrook90R package facilitates complex stat...

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Veröffentlicht in:	Agricultural and forest meteorology Jg. 291; S. 108023
Hauptverfasser:	Schmidt-Walter, Paul, Trotsiuk, Volodymyr, Meusburger, Katrin, Zacios, Martina, Meesenburg, Henning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.09.2020
Schlagworte:	Bayesian theory case studies climate change Climate impact data collection evaporation evapotranspiration evergreen forests grasses grasslands hydrologic models meteorology model calibration plant available water Populus nigra sensitivity analysis short rotation soil depth soil water storage water balance water stress model calibration water balance short rotation evapotranspiration Climate impact sensitivity analysis
ISSN:	0168-1923, 1873-2240
Online-Zugang:	Volltext
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