Assimilation of operational storm surge forecasting model with HY-2 satellite wind

Storm surge is one of the primary causes of marine disasters in China, especially tropical storm surges. Numerical model forecasts serve as a critical reference in storm surge operational prediction. The precision of the storm surge simulation is largely contingent upon the accuracy of the input driving forces. The prevailing typhoon storm surge numerical models typically utilize a model wind field derived from tropical parameters as the driving force, ensuring both accuracy and timeliness. However, these statistical models based on the classical wind-pressure relationship or the principle of gradient wind often fail to capture the true asymmetry of the tropical wind field, particularly when the tropical structure is distorted by coastal topography or interactions with other atmospheric systems. Therefore, we upgraded the GPU version of the high-precision operational storm surge forecasting model for the China Sea, by incorporating remote sensing wind data from HY-2B、2C and 2D satellites to assimilate and correct the model wind driven field. Hindcast and forecast cases demonstrated the improvements of calculation results, especially in areas impacted by the right half of the tropical.