Abstract
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.
Highlights
In order to initially evaluate the accuracy of the wind field retrieval method, ERA5 reanalysis data has to be used as reference data in this paper, which is very important for the optimization of MP model
In order to further improve the data of the wind field in the high-altitude area, this paper further studies the improved algorithm of the MP model to obtain a wind field with higher accuracy and wider coverage on the basis of the research of JunziSun
The results show that the mean absolute error (MAE) value of wind speed is within [1,8], and the MAE value of wind direction is within [4,14]
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The distribution of high-altitude wind fields affects the daily operation of aircraft, and its unprovoked changes often lead to air traffic accidents. Its parameters can be adjusted to improve its scope of application and accuracy, as to improve the accuracy and stability of the wind field This method can provide real-time and high-altitude wind field observation for aircraft with higher time resolution, wide range, and better fineness. The extrapolation method of the retrieval of the high-altitude wind field is studied, and the complete wind field data are obtained. The fourth part is the research experiment of this paper, which mainly includes the wind field retrieval and verification experiment, the applicability experiment of the linear difference model, the different experiment of the MP model in each height layer, the improvement of the model, and the wind field extrapolation experiment. The final two parts give the conclusion of this paper
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