Core Ideas The numerical solution of Richards' equation remains challenging. Space/time
discretization affects both computational effort and accuracy. Adaption of space and time …

Wildfire is a growing concern as climate shifts. The hydrologic effects of wildfire, which
include elevated hazards and changes in water quantity and quality, are increasingly …

Groundwater level (GWL) forecasting is crucial for irrigation scheduling, water supply and
land development. Machine learning (ML)(eg, artificial neural networks) has been …

The findings of hydrological modeling studies depend on which model was used. Although
hydrological model selection is a crucial step, experience suggests that hydrologists tend to …

The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in
Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model …

It has become imperative that surface and groundwater resources be managed as a holistic
system. This study applies a coupled groundwater–surface water (GW–SW) model, SWAT …

Surface flow and subsurface flow constitute a naturally linked hydrologic continuum that has
not traditionally been simulated in an integrated fashion. Recognizing the interactions …

Rainfall‐runoff models are used across academia and industry, and the number and type
have proliferated over time. In this primer we briefly introduce the key features of these …

In high-elevation, boreal and arctic regions, hydrological processes and associated water
bodies can be strongly influenced by the distribution of permafrost. Recent field and …

Continental-to global-scale hydrologic and land surface models increasingly include
representations of the groundwater system. Such large-scale models are essential for …