Meteo-particle模型在ADS-B风场反演中的性能研究

Study on the Performance of the Meteo-particle Model in Wind Field Retrieval with ADS-B

目前,飞机传感器数据已成为重要的气象观测信息的来源。将广播式自动相关监视(ADS-B)和二次雷达(SSR)技术获取的航空器数据用于估计风。通过评估反演结果,探讨了将飞机作为气象信息传感器的可行性。根据ADS-B和Mode S数据的优势,利用Meteo-particle(MP)模型进行高空风场反演。将反演结果与欧洲中期天气预报模型的ERA 5再分析数据进行对比,分析了反演结果的精度和准确性,进一步研究MP模型在气象模式下的适应性能。此外,本文将二维的风场结果扩展到三维场进行显示,使交通管制员更好地监管空域风场情况。研究结果表明:将航空器数据用于高空风场的反演具有较高的可行性,极大提高了高空风场的反演精度。风场反演模型在不同高度和时段的适应性能存在差异,研究结果对后期模型的改进有一定帮助。

At present,aircraft has become an important source of meteorological observation information.The aircraft data obtained by automatic dependent surveillance broadcast(ADS-B) and secondary Surveillance Radar(SSR) technology are used to estimate the wind.By evaluating the retrieval results,this paper discusses the feasibility of using aircraft as a meteorological information sensor.According to the advantages of ADS-B and Mode S data,the Meteo-particle(MP)model is used to retrieve the high-altitude wind field.The retrieval results are compared with the ERA5 reanalysis data of the European medium-range weather forecast model,the precision and accuracy of the retrieval results are analyzed,and the adaptive performance of the MP model in the meteorological model is further studied.In addition,this paper extends the results of the two-dimensional wind field to the three-dimensional field for display,so that the traffic controllers can better supervise the airspace wind field.The results show that it is feasible to use aircraft data to retrieve the high-altitude wind field,which greatly improves the retrieval accuracy of high-altitude wind field.The adaptive performance of the wind field retrieval model is different in different heights and periods,and the research results are helpful to the improvement of the later model.