Reducing uncertainty in quantifying basin‐scale water‐budget components is one of the
most vexing problems for water‐resource managers. Although a vast literature addresses …

Different paradigms have emerged in watershed hydrology to deal with the uncertainties
associated with modeling with both similarities and differences in philosophies and …

This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …

Global Climate change and local human activities have profoundly affected the regional
hydrological cycle and water resources. It is imperative to explore the potential changes in …

Spatial interpolation of precipitation data is of great importance for hydrological modelling.
Geostatistical methods (kriging) are widely applied in spatial interpolation from point …

Long‐term time series of key climate variables with a relevant spatiotemporal resolution are
essential for environmental science. Moreover, such spatially continuous data, based on …

Abstract The Luanhe River basin, the mostly afforested river basin in North China, has
exhibited significant land use/land cover change (LUCC) under climate change that could …

This paper presents an investigation of rainfall error models used in hydrological model
calibration and prediction. Traditional calibration methods assume input error to be …

Climate change has led to increasing frequency of sudden extreme heavy rainfall events in
cities, resulting in great disaster losses. Therefore, in emergency management, we need to …

This study explores the decomposition of predictive uncertainty in hydrological modeling into
its contributing sources. This is pursued by developing data‐based probability models …