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 …

Integrated, process‐based numerical models in hydrology are rapidly evolving, spurred by
novel theories in mathematical physics, advances in computational methods, insights from …

Modelling of terrestrial systems is continuously moving towards more integrated modelling
approaches, where different terrestrial compartment models are combined in order to realise …

Land surface models (LSMs) use a large cohort of parameters and state variables to
simulate the water and energy balance at the soil–atmosphere interface. Many of these …

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 …

A data assimilation framework, utilising measurements of pore water pressure to
sequentially improve the estimation of soil hydraulic parameters and, in turn, the prediction …

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 …

Although treatment for cholera is well-known and cheap, outbreaks in epidemic regions still
exact high death tolls mostly due to the unpreparedness of health care infrastructures to face …

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 …