Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
anthropogenic drivers, is often studied with hydrodynamic models that combine either …

This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …

Streamflow prediction help the modelers to manage water resources in watersheds. It gives
essential information for flood control and reservoir operation. This study uses the copula …

Precipitation is a fundamental input for many hydrological and water management studies.
With the advancement in science, a variety of satellite precipitation products are available. In …

This paper reviewed the impacts of climate change on the management of the water sector
in Malaysia discussing the current status of water resources, water service, and water …

There is interest in applying satellite‐derived rainfall products for water management in data‐
sparse areas. However, questions remain around how uncertainties in different products …

The provision of high resolution near real-time rainfall data has made satellite rainfall
products very potential for monitoring hydrological hazards. However, a major challenge in …

Gridded precipitation products are the potential alternatives in hydrological studies, and the
evaluation of their accuracy and potential use is very important for reliable simulations. The …

This study presents a comparative analysis of flood simulations using rain gauge, ground-
and space-borne radar precipitation products. The objectives are to assess the effectiveness …

Flood early warning systems (FEWS) are crucial for flood risk management; however,
several catchments in the developing world are still far behind in all aspects of FEWS and …