Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …

Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …

Abstract The European Centre for Medium-Range Weather Forecasts (ECMWF) recently
released its most advanced reanalysis product, the ERA5 dataset. It was designed and …

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 quantification of climate change impacts on hydrology is subjected to multiple
uncertainty sources. Large ensembles of hydrological simulations based on multimodel …

Floods usually threaten human lives and cause serious economic losses, which can be
more severe with global warming. Therefore, it is a salient challenge to find out how global …

The inter‐variable dependence of climate variables is usually not considered in many bias
correction methods, even though it has been deemed important for various impact studies …

This paper describes projected frequency changes in extreme summer meteorological and
hydrological droughts over North American catchments. It uses two large ensemble climate …

It is necessary to predict wind erosion events and specify the related effective factors to
prioritize management and executive measures to combat desertification caused by wind …

There is an immediate need to develop accurate and reliable global hydrological forecasts
in light of the future vulnerability to hydrological hazards and water scarcity under a …