A traditional metric used in hydrology to summarize model performance is the Nash–Sutcliffe
efficiency (NSE). Increasingly an alternative metric, the Kling–Gupta efficiency (KGE), is …

Abstract The Nash–Sutcliffe efficiency (NSE) is a widely used score in hydrology, but it is not
common in the other environmental sciences. One of the reasons for its unpopularity is that …

In the past decades, data-driven machine-learning (ML) models have emerged as promising
tools for short-term streamflow forecasting. Among other qualities, the popularity of ML …

The monitoring of surface-water quality followed by water-quality modeling and analysis are
essential for generating effective strategies in surface-water-resource management …

Due to the increasingly frequent occurrence of urban waterlogging, the spatial optimization
of low impact development (LID) practices has been commonly used to detain and reduce …

Water resource development opens up opportunities for improving smallholder farmer
livelihoods in sub-Saharan Africa; however, implementation of water resource interventions …

Accurate water level prediction is very important for coastal construction and flood
prevention in an estuarine area. However, it is challenging to represent the water level …

Due to the interaction between upstream discharge and astronomical tides in tidal reaches,
the typhoon-induced storm surge processes are quite different from that in other coastal …

Global evaporation monitoring from Earth observation thermal infrared satellite missions is
historically challenged due to the unavailability of any direct measurements of aerodynamic …

Climate variability and changing cropping patterns are two main factors directly influencing
catchment hydrological processes and agricultural productivity. Assessing the response of …