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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Bibliographic Details
Published in:	Agricultural and forest meteorology Vol. 291; p. 108023
Main Authors:	Schmidt-Walter, Paul, Trotsiuk, Volodymyr, Meusburger, Katrin, Zacios, Martina, Meesenburg, Henning
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.09.2020
Subjects:	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 Access:	Get full text
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