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Abstract
The module of assimilating a new GMI (GPM Microwave Imager) satellite detector was built in the framework of the Weather Research and Forecasting Model (WRF) and its three-dimensional variational (3DVar) data assimilation system (WRFDA). Typhoon “Chan-Hom” in the 2015 Pacific typhoon season was selected to verify the effectivity of the GMI clear-sky assimilation. The results show that, after assimilating the GMI radiance data, the background information in the model is modified positively when compared with the experiment without any assimilation and the one with assimilation of the conventional data. The obvious warm core structure of the typhoon, the modified geopotential height field, and the intensified circulation of the typhoon are favorable for the northwest twist of the typhoon, thus contributing to a better track forecast with a maximum error below 160 km in the 48-h deterministic forecast.
Highlights
Since the late 20th century, because of the launch of many new meteorological satellites and the rapid development of advanced data assimilation (DA) methods, satellite data has become one of the main sources of observation data which is used in numerical weather prediction (NWP)
It can be found that the simulated brightness temperature near the core of the typhoon temperature than in Figure 4b, which shows that the analyzed field is closer to the observed field after is closer to the observed brightness temperature than in Figure 4b, which shows that the analyzed assimilating GPM microwave imager (GMI) radiance data
The interface of GMI DA was integrated in the WRFDA system and three experiments were performed to address the influence of the clear-sky GMI radiance DA on the analysis and forecast of Typhoon “chan-hom” (2015)
Summary
Since the late 20th century, because of the launch of many new meteorological satellites and the rapid development of advanced data assimilation (DA) methods, satellite data has become one of the main sources of observation data which is used in numerical weather prediction (NWP). Statistical Interpolation (GSI) assimilation system to make assessments on the clear-sky assimilation of GMI brightness temperature and make a comparison of other prevailing microwave sounders like the advanced microwave sounding unit-A (AMSU-A), the advanced technology microwave sounde (ATMS), the microwave humidity sounding (MHS), etc., they found that clear-sky assimilation of GMI radiance is able to positively improve both track and intensity forecasts Since most of these researches focus mainly on TCs over the Atlantic Ocean rather than the Western Pacific Ocean, the direct assimilation of the new generational GMI radiance data in a limited regional area, especially in East Asia, has not been carried out. This study intends to adopt the new generational Weather Research and Forecasting Model (WRF) and its three-dimensional variational data assimilation system (3DVAR) to address the influence of the direct assimilation of GMI radiance data on the analysis and prediction of Typhoon “Chan-Hom” in July, 2015
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