A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …

Abstract Information about the spatiotemporal variability of soil moisture is critical for many
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …

The European Cooperation in Science and Technology (COST) Action ES1404
“HarmoSnow”, entitled,“A European network for a harmonized monitoring of snow for the …

The coupling of multisource remote sensing data and the lack of measured runoff introduce
input data and model parameters uncertainties to the remote sensing-driven distributed …

Traditionally, navigation-related forecasts in central Europe cover short-to medium-range
lead times linked to the travel times of vessels to pass the main waterway bottlenecks …

Quantification of the inherent uncertainty in hydrologic forecasting is essential for flood
control and water resources management. The existing approaches, such as Bayesian …

Snowmelt modeling is vital issue for proper operational flow forecasting systems but still
challenging in upstream mountainous basins due to limited observations and associated …

Snowmelt runoff is a vital source of fresh water in cold regions. Accurate snowmelt runoff
forecasting is crucial in supporting the integrated management of water resources in these …

Using modelling approaches to predict stream flow from ungauged basins requires new
model calibration strategies and evaluation methods that are different from the existing ones …

Given the need to consider the cryosphere in water resources management for mountainous
regions, the purpose of this paper is to model the daily spatially distributed dynamics of …