大气与环境光学学报2025，Vol.20Issue(6)：703-712,10.DOI:10.3969/j.issn.1673-6141.2025.06.002
成都地区大气光学湍流廓线估算方法比较
Comparison of methods for estimating atmospheric optical turbulence profiles in Chengdu
摘要
Abstract
The atmospheric optical turbulence profile is not only a representation of the vertical distribution of atmospheric optical turbulence intensity,but also an important indicator of the evolution of ambient air quality.Based on the radar sounding data of Wenjiang District,Chengdu City,China,in February 2020,the atmospheric optical turbulence profiles in the middle and lower troposphere(<5 km)are estimated in this work by using Coulman outer scale model,Thorpe scale method and Hufnagel-Vally 5/7 model respectively,and the applicability of the different methods for estimating atmospheric optical turbulence profiles is discussed.The results show that:(1)The atmospheric optical turbulence profile estimated by Coulman outer scale model is basically consistent with that measured by L-band wind profiler radar,with a correlation coefficient of 0.70.(2)The correlation coefficient between the estimated results of Thorpe scale method and the measured results is 0.60,and the two results show good consistency below 4 km height,and the magnitude deviation in the 4-5 km height range.(3)The estimated results of Hufnagel-Vally 5/7 model can not accurately reflect the changing characteristics of the real atmospheric optical turbulence profile,with a correlation coefficient of 0.15.In summary,the Coulman outer-scale model based on Tatarski parameterization method has achieved the optimal estimation results in the district,which provides a methodological support for the estimation of atmospheric optical turbulence profiles in Chengdu and other regions with similar underlying surface.关键词
大气光学/光学湍流/风廓线雷达/估算方法/成都地区Key words
atmospheric optical turbulence profile/wind profile radar/estimation method/optimization/Chengdu region分类
大气科学引用本文复制引用
张梦,倪长健..成都地区大气光学湍流廓线估算方法比较[J].大气与环境光学学报,2025,20(6):703-712,10.基金项目
国家重点研发计划项目(2018YFC0214004,2018YFC1506006),四川省科技厅应用基础研发项目(2021YJ0314) （2018YFC0214004,2018YFC1506006）
