1 citations · 2 across the 3 of their papers we have counts for
4 papers
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
Shi Quan Foo, Chi-Ho Wong, Zhihan Gao +3
Precipitation nowcasting is a critical spatio-temporal prediction task for society to prevent severe damage owing to extreme weather events. Despite the advances in this field, the…
Analogue Forecast System for Daily Precipitation Prediction Using Autoencoder Feature Extraction: Application in Hong Kong
Yee Chun Tsoi, Yu Ting Kwok, Ming Chun Lam +1
In the Hong Kong Observatory, the Analogue Forecast System (AFS) for precipitation has been providing useful reference in predicting possible daily rainfall scenarios for the next…
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
Chiu-Wai Yan, Shi Quan Foo, Van Hoan Trinh +3
Deep learning approaches have been widely adopted for precipitation nowcasting in recent years. Previous studies mainly focus on proposing new model architectures to improve pixel-…
Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience
Jiaqi Ruan, Xiangrui Meng, Yifan Zhu +10
Modern society's reliance on power systems is at risk from the escalating effects of wind-related climate change. Yet, failure to identify the intricate relationship between wind-r…