Over the past few years, Deep Learning (DL) methods have garnered substantial
recognition within the field of hydrology and water resources applications. Beginning with a …

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 …

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 …

Abstract We present Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2),
a gridded precipitation P dataset spanning 1979–2017. MSWEP V2 is unique in several …

Despite considerable advances in flood forecasting during recent decades, state-of-the-art,
operational flood early warning systems (FEWS) need to be equipped with near-real-time …

Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …

WaterGAP is a global hydrological model that quantifies human use of groundwater and
surface water as well as water flows and water storage and thus water resources on all land …