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 …

In hydrology, two somewhat competing philosophies form the basis of most process-based
models. At one endpoint of this continuum are detailed, high-resolution descriptions of small …

Process‐based hydrological models seek to represent the dominant hydrological processes
in a catchment. However, due to unavoidable incompleteness of knowledge, the …

The multi-metric assessment of model performance in a dominantly single-domain modeling
approach (ie, surface) may not be sufficient to gauge the validity of the model to represent …

The main objective of this study is to assess the relative contribution of the state-of-the-art
topo-hydrological factor, known as height above the nearest drainage (HAND), to landslide …

Deep learning has emerged as a useful tool across geoscience disciplines; however, there
remain outstanding questions regarding the suitability of unexplored model architectures …

This study aims to present a process for hydrological model exploration for selecting an
appropriate model compatible with the modeling objectives. The process consists of three …

Daily, quasi-global (50° N–S and 180° W–E), satellite-based estimates of actual
evapotranspiration at 0.25° spatial resolution have recently become available, generated by …

Predicting the effects of land-use (LU) changes and hydrological processes on a rapidly
urbanized catchment using the Markov chain and WetSpa models is the main objective of …

Spatial recharge estimation uncertainty is directly proportional to uncertainty in input
precipitation data Thus, the main objective of this study was to investigate the recharge …