赵慧,张守宝,王红光,等. 基于WRF模式预报的微波湍流特性研究[J]. 电波科学学报,2022,37(2):321-327. DOI: 10.12265/j.cjors.2021034
      引用本文: 赵慧,张守宝,王红光,等. 基于WRF模式预报的微波湍流特性研究[J]. 电波科学学报,2022,37(2):321-327. DOI: 10.12265/j.cjors.2021034
      ZHAO H, ZHANG S B, WANG H G, et al. Research on the turbulence characteristics in microwave band based on WRF forecasting model[J]. Chinese journal of radio science,2022,37(2):321-327. (in Chinese). DOI: 10.12265/j.cjors.2021034
      Citation: ZHAO H, ZHANG S B, WANG H G, et al. Research on the turbulence characteristics in microwave band based on WRF forecasting model[J]. Chinese journal of radio science,2022,37(2):321-327. (in Chinese). DOI: 10.12265/j.cjors.2021034

      基于WRF模式预报的微波湍流特性研究

      Research on the turbulence characteristics in microwave band based on WRF forecasting model

      • 摘要: 大气湍流对对流层内微波的传播具有重要影响,正确认识大气湍流的特性有助于提高电波传播模型预测的准确性和可靠性. 本文利用天气数值预报(weather research and forecasting,WRF)模式预测气象要素,计算微波波段大气折射率结构常数,研究对流层内大气湍流的时空分布特性,并探讨其与温度、相对湿度和修正大气折射率的变化关系. 研究表明:近海面微波湍流强度具有明显的日变化特征;对流层内微波湍流的垂向结构具有较为明显的分层;大气环境出现逆温减湿现象,湍流活动较强. 这些研究成果可为微波在大气环境中传播的准确预测提供理论支持.

         

        Abstract: Atmospheric turbulence plays an important role in the propagation of microwave in troposphere. A better knowledge for the characteristics of atmospheric turbulence is helpful to improve the accuracy and reliability of radio wave propagation model simulation. In this paper, the meteorological parameters are forecasted by the WRF model, and used to calculate the structure constant of atmospheric refractive index in microwave band. Based on the structure constant of refractive index, the temporal and spatial distribution characteristics of atmospheric turbulence in troposphere are studied, and the correlation between turbulence and atmospheric parameters is discussed. The results show that the turbulence intensity near the sea surface has obvious diurnal variation characteristics; the vertical structure of turbulence in the troposphere is stratified; the phenomenon of temperature inversion and humidity reduction in atmospheric environment may cause strong turbulence. These results provide theoretical support for the accurate prediction of microwave propagation in the atmospheric environment.

         

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