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 …

This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

Can artificial intelligence (AI) models beat traditional numerical weather prediction (NWP)
models based on physical principles? The rapid advancement of AI, inherent computational …

Water is essential for humans as well as for all living organisms to sustain their lives.
Therefore, any climate‐driven change in available resources has significant impacts on the …

Study region: Xinjiang is located in the mid-latitude region of Eurasia in northwestern China.
Precipitation is predominantly concentrated in northern Xinjiang, while southern Xinjiang …

There are specific construction operations that require weather forecast data to make short-
term decisions regarding construction; however, most resource-related decision making and …

Precipitation estimation over the Tibetan Plateau is a critical but challenging task due to
sparse gauges and high altitudes. Traditional statistic methods are often insufficient to …

Rainfall prediction significantly impacts agriculture, water reserves, and preparations for
flooding conditions. This research examines the performance and interpretability of machine …

Meteorological and hydrological processes depend on accurate precipitation observations.
Most precipitation products utilize station-based observations directly or to bias correct …

With global warming and intensified human activities, extreme convective precipitation has
become one of the most frequent natural disasters. An accurate and reliable assessment of …