2022 Volume 78 Issue 2 Pages I_901-I_906
Satellite products are expected to play an important role not only in countermeasures against floods but also in public welfare, especially in developing countries. The purpose of this study is to propose a new method to estimate X-band MP radar reflection factors from the infrared band brightness temperature of the Himawari standard data. The proposed method is as follows (1) Cloud area determination using a large amount of grid data. (2) Redistribution by probabilistic matching method. (3) Estimate radar reflection factors using an optimized mathematical model. The accuracy of the estimated radar reflection factors was examined by calculating the precipitation intensity using the Z-R equation. The results showed that the root mean square error (RMSE) of the precipitation intensity calculated from the radar reflectivity estimated using the 3.9-μm wavelength range was 5.44 mm/h and the mean absolute error (MAE) was 2.82 mm/h compared to the precipitation intensity estimated from the GPV data of the synthetic radar. These results indicate that the estimability of precipitation using the 3.9-μm wavelength range of the Himawari Standard Data is relatively higher than that using other wavelength ranges.