Projections of future hydrological conditions rely largely on global climate models, but model
performance varies greatly. In this study, we investigated projected changes in runoff (R) …

River transport of dissolved organic carbon (DOC) to the ocean is a crucial but poorly
quantified regional carbon cycle component. Large uncertainties remaining on the riverine …

The changing climate and intensifying human activities have made an impact on the
hydrological processes in the upper Yangtze River (UYR), but quantifying their effects …

Correlation analysis is the common method to evaluate the relationship between two
variables; however, it may sometimes cause spurious correlations. Specifically, in the field of …

Abstract Study region The Chaohe watershed is Bei**g's primary potable water source.
Study focus The initiation of ecological restoration (ER), combined with the rapid …

Monthly runoff prediction is crucial for water resource allocation and flood prevention. Many
existing methods use identical deep learning networks to understand monthly runoff …

The quasi‐global availability of satellite‐based precipitation products (SPPs) holds
significant potential for improving hydrological modeling skill. However, limited knowledge …

Given global climate change and human pressures on water resource systems, assessing
the sensitivity of terrestrial water storage (TWS) to climate variables is crucial for addressing …

ABSTRACT The El Niño-Southern Oscillation (ENSO) has diverse effects on the interannual
variability of river flows in Colombia. Given that 70% of the country's electricity supply is …

The changes in stream discharge extremes due to temperature and seasonality are key
metrics in assessing the effects of climate change on the hydrological cycle. While scaling is …