Tropical cyclones (TCs) making landfall often produce extreme precipitation with complex spatiotemporal patterns, posing major challenges to both deep learning models and numerical weather prediction (NWP) systems. This study introduces Rainflow, a conditional flow matching (CFM) based generative model for high‐resolut...
Da-Wei Li, Ke-Feng Deng, Di Zhang et al.· Geophysical Research Letters· 0 citations
This study confirms that Deepcov-EnKF overcomes key limitations of traditional EDA frameworks, significantly enhances the accuracy of SST assimilation, and lays the foundation for high-precision marine forecasting systems.
Bao-Xu Li, H. Leng, Jun-Qiang Song et al.· 0 citations
Typhoons can substantially perturb the thermal and circulation structure of marginal seas, yet in the Yellow Sea most studies have focused on surface cooling, vertical mixing, and coastal upwelling/downwelling, while the hourly-scale response of subsurface circulation below the thermocline remains poorly understood. Us...
Chen Peng, Cheng-Wu Zhao, Hang Yu et al.· Journal of Marine Science an...· 0 citations
Accurate sea surface wind speed fields are essential for marine navigation, offshore operations, and air–sea interaction studies. However, limited communication bandwidth makes it difficult to receive forecasts from land-based centers, motivating wind speed reconstruction using sparse observations. To address this chal...
Ruisheng Hu, Jia-Qi Ding, Jin-Hui Yang et al.· Remote Sensing· 0 citations
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