Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

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

As a vital freshwater resource for one-sixth of the world's population, snowmelt provides
great convenience for residents in terms of livelihood and production, agricultural irrigation …

Daily hydrological modelling is among the most challenging tasks in water resource
management, particularly in terms of streamflow prediction in semi-arid areas. Various …

Although machine learning (ML) techniques are increasingly popular in water resource
studies, they are not extensively utilized in modeling snowmelt. In this study, we developed a …

In this paper, a new hybrid time series forecasting model based on the complete ensemble
empirical mode decomposition with adaptive noise (CEEMDAN) and a temporal …

River flow modeling is essential for critical aspects such as effective water management and
structure planning, together with flood and drought analysis. There has been a growing …

In recent years, the potential impacts of climate change on water resources and the
hydrologic cycle have gained importance especially for snow-dominated mountainous …

Snow accumulation in mountainous watersheds plays a paramount role in the hydrological
cycle and environmental stability. In the current research, three different snow modeling …

This study develops a novel approach to data-driven hydrological modeling. The approach
adopts the feature representation technique in computer vision to effectively exploit spatial …