Korea Meteorological Administration

Sunghwa Jung

Yura Kim

Ikhyun Cho

Jaeho Choi

Kwangho Kim

A regional precipitation nowcasting system based on cycle-generative adversarial network (GAN) extension includes an input unit configured to receive an input composite hybrid surface rainfall (HSR) image including precipitation information of a region of interest corresponding to a first time, a cycle-GAN configured to generate a resultant composite HSR image including precipitation information of the region of interest corresponding to a second time which comes later than the first time on the basis of the input composite HSR image using a first cycle-GAN and a second cycle-GAN which is complementary to the first cycle-GAN, and an output unit configured to output the resultant composite HSR image as a nowcasting image of the region of interest. The regional precipitation nowcasting system and method based on cycle-GAN extension can ensure robust temporal causality by applying pixel losses to a cycle-GAN.

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Seoul, South Korea

Sunghwa Jung