The remarkable complexity of soil and its importance to a wide range of ecosystem services
presents major challenges to the modeling of soil processes. Although major progress in soil …

The estimation of soil moisture is essential for developing advanced closed‐loop irrigation
schemes. One associated problem is how to place the sensors appropriately in the soil to …

For predicting flow in the unsaturated zone, an adequate choice of the model parameters,
especially the soil hydraulic parameters, is essential. It is difficult to determine these …

The ensemble Kalman filter (EnKF) is a popular data assimilation method in soil hydrology.
In this context, it is used to estimate states and parameters simultaneously. Due to …

In situ soil moisture sensors provide highly accurate but very local soil moisture
measurements, while remotely sensed soil moisture is strongly affected by vegetation and …

Data assimilation has recently been the focus of much attention for integrated surface–
subsurface hydrological models, whereby joint assimilation of water table, soil moisture, and …

The accurate modeling of flow and transport in the vadose zone for agricultural and
environmental applications requires knowledge about soil parameters. Soil parameters vary …

In this work, a systematic approach based on system observability analysis and state
estimation is developed to estimate the soil moisture inside an agro-hydrological system …

Here some issues are studied, related to the numerical solution of Richards' equation in a
one dimensional spatial domain by a technique based on the Transversal Method of Lines …

The linkage between root zone soil moisture and groundwater is either neglected or
simplified in most land surface models. The fully-coupled subsurface-land surface model …