Groundwater is by far the largest unfrozen freshwater resource on the planet. It plays a
critical role as the bottom of the hydrologic cycle, redistributing water in the subsurface and …

Process-based hydrological models have a long history dating back to the 1960s. Criticized
by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is …

Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various
approaches exist, ranging from physically based over conceptual to fully data-driven …

Accurate river streamflow forecasts are a vital tool in the fields of water security, flood
preparation and agriculture, as well as in industry more generally. Traditional physics-based …

The diversity in hydrologic models has historically led to great controversy on the correct
approach to process-based hydrologic modeling, with debates centered on the adequacy of …

This work advances a unified approach to process‐based hydrologic modeling to enable
controlled and systematic evaluation of multiple model representations (hypotheses) of …

The state of the art for optimal water reservoir operations is rapidly evolving, driven by
emerging societal challenges. Changing values for balancing environmental resources …

Global hydrology has come a long way since the first introduction of the primitive land
surface model of Manabe (1969) and the declaration of the “Emergence of Global …

In recent years, the SUite of Nonlinear and DIfferential/ALgebraic equation Solvers
(SUNDIALS) has been redesigned to better enable the use of application-specific and third …

Monitoring Earth's terrestrial water conditions is critically important to many hydrological
applications such as global food production; assessing water resources sustainability; and …