Application of satellite remote sensing data for numerical prediction of evaporation duct

Based on US National Centers for Environmental Prediction (NCEP) reanalysis data and satellite remote sensing data, we simulated an evaporation duct process which occurred at Pingtan island of Fujian Province by using weather research and forecasting (WRF) model and coupling Babin model. The compared results show that the predicted results of WRF have good agreement with observed results at Pingtan island (correlation coefficient are all more than 0.92); the initial fields are optimized by assimilating satellite remote sensing data which greatly improve the predicted result, in the situation of assimilating sea surface wind and temperature simultaneously, and the predicted result is the best after the error bias revising(the value of unbiased error of root-mean-square is the smallest, namely 0.680 meters). Either sea surface wind or sea surface temperature is assimilated to improve the predicted result.