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 …

River‐groundwater interactions are at the core of a wide range of major contemporary
challenges, including the provision of high‐quality drinking water in sufficient quantities, the …

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

Technological and methodological progress is essential to improve our understanding of
fundamental processes in natural and engineering sciences. In this paper, we will address …

Recent advances in sensor technologies, field methodologies, numerical modeling, and
inversion approaches have contributed to unprecedented imaging of hydrogeological …

Skillful streamflow forecasts provide key support to several water‐related applications.
Because of the critical impact of initial conditions (ICs) on forecast accuracy, ever‐growing …

Satellite remote sensing offers valuable tools to study Earth and hydrological processes and
improve land surface models. This is essential to improve the quality of model predictions …

This paper aims to investigate the effect of uncertainty originating from model inputs,
parameters and initial conditions on 10 day ensemble low flow forecasts. Two hydrological …

More and more terrestrial observational networks are being established to monitor climatic,
hydrological and land-use changes in different regions of the World. In these networks, time …

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 …