基于MST雷达垂直风速的大气温度剖面反演

本文主要利用MST(mesosphere-stratosphere-troposphere)雷达垂直风速时间序列进行频谱分析,计算B-V(Brunt-V?is?l?)频率,再根据B-V频率和温度的关系,本文建立了离散的温度反演模型,最后反演得到了全高度的温度剖面.通过计算温度剖面和探空仪实测温度剖面比较可见,二者的符合度非常高,变化趋势也完全一致.本文还进一步讨论了,利用B-V频率和MST雷达的水平风速还可以计算理查德森数,通过理查德森数可以很清晰的判断大气的稳定性,进而可以量化大气很多动力学特征以及解释大气中的很多波动现象.因此,B-V频率的获得是MST雷达对大气动力学研究的又一贡献,它可以准确地反演大气的温度剖面,同时获取大气动力学稳定性参数.

Atmospheric temperature profiles estimated by the vertical wind speed observed by MST radar

Atmospheric temperature is an important parameter for studying the process of atmospheric dynamics and photochemistry, and is a significant sign of the atmospheric vertical stratification structure. It is a challenge in atmospheric science research to obtain temperature profiles with high space-time resolution all the time. MST (mesosphere-stratosphere-troposphere) radar, which is the modern large-scale ground-based radio remote sensing equipment, can measure 3D atmospheric winds with high space-time resolution and unattended 24 hours a day. This paper uses the time series of vertical wind observed by MST radar to make spectral analysis and calculate B-V (Brunt-Väisälä) frequency. Then this paper builds the discrete model of temperature inversion based on the relationship between B-V frequency and temperature. Compared with actual measurement of temperature from radiosondes, the agreement between the radiosonde profile and the profile from MST radar data is quite good. Furthermore, the Richardson number can also be obtained by using the B-V frequency and horizontal winds, which can judge the atmospheric stability, quantize many of the dynamic characteristics, and explain the wave phenomenon. So the acquisition of B-V frequency is MST radar's another outstanding contribution to atmospheric dynamics research. It can accurately calculate the atmospheric temperature profiles and attain dynamic stability parameters.
Keywords：atmospheric temperaturemesosphere-stratosphere-troposphere radarBrunt-VäisäläfrequencyRichardson number