We present an overview of recent work on using artificial intelligence (AI)/machine learning
(ML) techniques for forecasting convective weather and its associated hazards, including …

Graph representation learning has been a very active research area in recent years. The
goal of graph representation learning is to generate graph representation vectors that …

Recognizing smoke from surveillance videos is crucial to achieve robust fire detection due to
the rich temporal cues in video data. However, the slow-moving smoke makes it difficult to …

Atmospheric electricity is composed of a series of electric phenomena in the atmosphere.
Significant advances in atmospheric electricity research conducted in China have been …

Traditional fully-deterministic algorithms, which rely on physical equations and mathematical
models, are the backbone of many scientific disciplines for decades. These algorithms are …

Weather forecasting requires comprehensive analysis of a variety of meteorological data.
Recent decades have witnessed the advance of weather observation and simulation …

Precipitation has an important impact on people's daily life and disaster prevention and
mitigation. However, it is difficult to provide more accurate results for rainfall nowcasting due …

Accurate atmospheric visibility prediction is of great significance to public transport safety.
However, since it is affected by multiple factors, there still remains difficulties in predicting its …

Lightning is one of the leading causes of electrical outages in South Africa, and the most
severe weather-related killer in the country. Unfortunately for risk management, quantitative …

Precipitation nowcasting underlying various public services from rainstorm warning to flight
safety is quite important and remains challenging due to the fast change in convective …