Abstract Long Short-Term Memory (LSTM) has recently emerged as a crucial tool for
scientific research in hydrology and water resources. Despite its widespread use, a …

Recently, lithium-ion batteries (LIBs) have become the leading energy storage solution for
electric vehicles, thanks to their high energy density and extended lifespan. Examining the …

The authors have plagiarized part of a paper that had already appeared in Hydrology and
Earth System Sciences, volume 26 (2022), 795–825. One of the conditions of submission of …

In this study, two deep learning approaches, bidirectional long short-term memory (BiLSTM)
and long short-term memory (LSTM), were used along with adaptive boosting and general …

It is a critical need to provide timely and valuable alerts of rainstorms and floods to the
public. However, it still remains a world-class challenge to achieve serviceable nowcasting …

Abstract Study region Ganjiang River catchment, China. Study focus Quantifying the effects
of the impacts climate change on streamflow is of great importance for regional water …

Alpine basins are important water sources for human life, and reliable hydrological modeling
can enhance the water resource management in alpine basins. Recently, hybrid …

Constrained by the sparsity of observational streamflow data, large-scale catchments face
pressing challenges in streamflow prediction and flood management amid climate change …

Neural network models have been widely used in runoff forecasting, but are often criticized
for their lack of physical interpretability. In this study, we present a simple but useful …

In response to irregular data gaps in evapotranspiration (ET) data obtained using eddy
covariance (EC) methods, this study seeks to explore a high-precision interpolation method …