Data Assimilation Seminar

Dr. Shigenori Otsuka (November 20, 2023, 14:30-16:00)

Affiliation Research Scientist, RIKEN, R-CCS
Title Precipitation nowcasting with deep learning
Abstract Precipitation nowcasting based on radar observations or satellite observations has been used for short-range precipitation predictions for lead times ranging from several tens of minutes to several hours. Conventional methods use algorithms such as cell tracking, cross correlation-based motion vectors, and advection. Recently, various deep learning-based precipitation nowcasting techniques have been proposed. Such techniques include CNN, UNet, LSTM, and GAN. In this presentation, some of these techniques will be reviewed, and an integrated DA-NWP-AI system will be discussed.

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