Research and Optimization of Meteo-Particle Model for Wind Retrieval

• Main Authors: Jiahui Zhu, Haijiang Wang, Jing Li, Zili Xu
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Atmosphere
• Subjects: automatic dependent surveillance broadcast; wind field retrieval; meteo-particle; aircraft data; extrapolation of wind field
• Online Access: https://www.mdpi.com/2073-4433/12/9/1114

As the aviation industry has entered a critical period of development, the demand for Automatic Dependent Surveillance Broadcast (ADS-B) technology is becoming increasingly urgent. Real-time detection of aviation wind field information and the early warning of wind field shear by atmospheric sounding system are two important factors related to the safe operation of aviation and airport. According to the advantages of ADS-B and Mode S data, this paper uses the Meteo-Particle (MP) model proposed by Sun et al., in their previous research to retrieve high-altitude wind field. Comparing the precision and accuracy of wind field retrieved results, and the optimization parameters of MP model suitable for meteorological model are further studied. To solve the problem of incomplete wind field coverage obtained by retrieval, an extrapolation algorithm of wind field is proposed. The results show that: (1) a comprehensive evaluation index is introduced, which can more effectively evaluate the comprehensive difference of wind field retrieval results in wind speed and direction. (2) The adaptability results of MP model in different periods and altitudes provide some reference for the research of other scholars. (3) The new parameter setting can improve the accuracy of the retrieved results, and the appropriate extrapolation of wind field fills in the blank part of aviation and meteorology.