Flash flood early warning requires accurate rainfall forecasts with a high spatial and
temporal resolution. As the first few hours ahead are already not sufficiently well captured by …

Nowcasts (ie, short-term forecasts from 5 min to 6 h) of heavy rainfall are important for
applications such as flash flood predictions. However, current precipitation nowcasting …

摘要为提升现有业务系统的降水临近预报(0—2 h) 能力, 以业务应用为目标,
基于中国气象局强对流天气短时临近预报系统—SWAN (Severe Weather Automatic …

This work introduces GPTCast, a generative deep-learning method for ensemble nowcast of
radar-based precipitation, inspired by advancements in large language models (LLMs). We …

Doppler radar echo extrapolation is an important method for extreme weather forecasting.
However, traditional optical flow methods lack learnable components and are not suitable …

In the rainfall nowcasting, various error sources cause high uncertainty and bias of rainfall
nowcasts. This study proposes a novel user-friendly and post-processing approach for …

Precipitation nowcasting is mainly achieved by the radar echo extrapolation method. Due to
the timing characteristics of radar echo extrapolation, convolutional recurrent neural …

Precipitation nowcasting has important implications for urban operation and flood
prevention. Radar echo extrapolation is a common method in precipitation nowcasting …

This study evaluates spatiotemporal variability of deterministic and probabilistic precipitation
nowcasting models' performance over the greater New York City area. Five deterministic …

Precipitation nowcasting has important implications for urban operation and flood
prevention. Radar echo extrapolation is the common method in precipitation nowcasting …