文章基本信息

标题：MATLAB algorithm to implement soil water data assimilation with the Ensemble Kalman Filter using HYDRUS
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作者：Javier Valdes-Abellan ; Yakov Pachepsky ; Gonzalo Martinez 等
期刊名称：MethodsX
印刷版ISSN：2215-0161
电子版ISSN：2215-0161
出版年度：2018
卷号：5
页码：184-203
DOI：10.1016/j.mex.2018.02.008
语种：English
出版社：Elsevier
摘要：Graphical abstractDisplay OmittedAbstractData assimilation is becoming a promising technique in hydrologic modelling to update not only model states but also to infer model parameters, specifically to infer soil hydraulic properties in Richard-equation-based soil water models. The Ensemble Kalman Filter method is one of the most widely employed method among the different data assimilation alternatives. In this study the complete Matlab© code used to study soil data assimilation efficiency under different soil and climatic conditions is shown. The code shows the method how data assimilation through EnKF was implemented. Richards equation was solved by the used of Hydrus-1D software which was run from Matlab.•MATLAB routines are released to be used/modified without restrictions for other researchers•Data assimilation Ensemble Kalman Filter method code.•Soil water Richard equation flow solved by Hydrus-1D.
关键词：Hydrus;EnKF;Soil water flux modelling