Modeling soil processes: Review, key challenges, and new perspectives
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 …
presents major challenges to the modeling of soil processes. Although major progress in soil …
Optimal sensor placement for agro‐hydrological systems
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 …
schemes. One associated problem is how to place the sensors appropriately in the soil to …
Soil moisture prediction with the ensemble Kalman filter: Handling uncertainty of soil hydraulic parameters
N Brandhorst, D Erdal, I Neuweiler - Advances in Water Resources, 2017 - Elsevier
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 …
especially the soil hydraulic parameters, is essential. It is difficult to determine these …
Inflation method for ensemble Kalman filter in soil hydrology
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 this context, it is used to estimate states and parameters simultaneously. Due to …
Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction
R Baatz, HJ Hendricks Franssen, X Han… - Hydrology and Earth …, 2017 - hess.copernicus.org
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 …
measurements, while remotely sensed soil moisture is strongly affected by vegetation and …
Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope
A Botto, E Belluco, M Camporese - Hydrology and Earth System …, 2018 - hess.copernicus.org
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 …
subsurface hydrological models, whereby joint assimilation of water table, soil moisture, and …
Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters
The accurate modeling of flow and transport in the vadose zone for agricultural and
environmental applications requires knowledge about soil parameters. Soil parameters vary …
environmental applications requires knowledge about soil parameters. Soil parameters vary …
Parameter and state estimation of an agro-hydrological system based on system observability analysis
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 …
estimation is developed to estimate the soil moisture inside an agro-hydrological system …
A transversal method of lines for the numerical modeling of vertical infiltration into the vadose zone
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 …
one dimensional spatial domain by a technique based on the Transversal Method of Lines …
Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial system model
H Zhang, W Kurtz, S Kollet, H Vereecken… - Advances in water …, 2018 - Elsevier
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 …
simplified in most land surface models. The fully-coupled subsurface-land surface model …