Nowadays, mathematical models of hydrological systems are used routinely to guide decision making in diverse subjects, such as: environmental and risk assessments, design remediation strategies for contaminated sites, evaluation the impact climate change on water resources. The correct development use them is relevant beyond realm hydrology. continuous improvement computational power data colle...

Abstract. State-of-the-art global hydrological models (GHMs) exhibit large uncertainties in simulations due to the complexity, diversity, and heterogeneity of land surface subsurface processes, as well scale dependency these processes associated parameters. Recent progress machine learning, fueled by relevant Earth observation data streams, may help overcome challenges. But learning methods are...

Surface water storage is a key component of the terrestrial hydrological and biogeochemical cycles that also plays a major role in water resources management. In this study, surface water storage (SWS) variations are estimated at monthly time-scale over 15 years (1993–2007) using a hypsographic approach based on the combination of topographic information from Advance Spaceborne Thermal Emission...

The hydrological response of Swiss river basins to the 2003 European summer heatwave was evaluated by a combined analysis of historical discharge records and specific applications of distributed hydrological modeling. In the summer of 2003, the discharge from headwater streams of the Swiss Central Plateau was only 40%–60% of the longterm average. For alpine basins runoff was about 60%–80% of th...

Coupled terrestrial carbon (C), nitrogen (N) and hydrological processes play a crucial role in the climate system, providing both positive and negative feedbacks to climate change. In this review we summarize published research results to gain an increased understanding of the dynamics between vegetation and atmosphere processes. A variety of methods, including monitoring (e.g., eddy covariance...