This method fuses synthetic aperture radar and CCMP data to enhance wind field accuracy in tropical cyclones, indicating improved forecasting potential.
Key Points
TransUNet reduces CCMP errors in maximum wind speeds by 47%, enhancing tropical cyclone wind analysis.
The method downscales ocean surface wind data, filling gaps left by sparse satellite observations to improve accuracy.
By fusing high-resolution SAR data with CCMP, the approach provides gap-free and fine-resolution wind fields for cyclones.
This innovative technique can also adapt to other geophysical variables, supporting improved climate modeling efforts.