Effects of Assimilating Microwave Remote Sensing Data of Different Satellite on the Simulation of Typhoon Track

In this study, AMSU-A (Advanced Microwave Sounding Unit-A) microwave remote sensing data of NOAA15, NOAA18, and NOAA19 are assimilated respectively and combinedly to simulate the super typhoon "Soudelor" (Number 13, 2015) using the WRF model and its 3DVar assimilation systems. The objective of the present study is to investigate the effects of assimilating the same type of microwave remote sensing data from different satellites on the simulation of typhoon track. The results demonstrate that assimilation of the same type of microwave remote sensing data from different satellites leads to different effects on the simulation of typhoon track. In this paper, the assimilation effect of NOAA15 is the best, followed by that of NOAA18, and the effect of NOAA19 data assimilation is the worst. Assimilating the AMSU-A data of NOAA15, NOAA18, and NOAA19 simultaneously didn't yield the best assimilation effect, whereas assimilating the AMSU-A data of combined NOAA15 and NOAA18 had the best assimilation effects. The above results indicate that assimilating observation data of more satellites doesn't necessarily lead to better assimilation effect. The increment fields at three different times in the assimilation experiments demonstrate that assimilating the same type of microwave remote sensing data from different satellites lead to different adjustments on physical fields, which correspond well to the adjustments on the simulation of typhoon track. Compared to the incremental structures of temperature, sea level pressure, geopotential height, and winds are more closely linked with the adjustment of the simulation of typhoon track.