成都地区大气光学湍流廓线估算方法比较

doi:10.3969/j.issn.1673-6141.2025.06.002

大气与环境光学学报 ›› 2025, Vol. 20 ›› Issue (6): 703-712.doi: 10.3969/j.issn.1673-6141.2025.06.002

• 大气光学 • 上一篇

成都地区大气光学湍流廓线估算方法比较

张梦 1, 倪长健 1,2*

1 成都信息工程大学大气科学学院, 四川成都 610225; 2 成都平原城市气象与环境四川省野外科学观测研究站, 四川成都 610225

收稿日期:2023-06-01 修回日期:2023-07-12 出版日期:2025-11-28 发布日期:2025-11-24
通讯作者: E-mail: ncj@cuit.edu.cn E-mail:ncj1970@163.com
作者简介:张梦 (1998- ), 女, 硕士研究生, 主要从事大气环境与大气光学方面的研究。E-mail: Zhangmeng_0705@163.com
基金资助:
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)

Comparison of methods for estimating atmospheric optical turbulence profiles in Chengdu

ZHANG Meng 1, NI Changjian 1,2*

1 College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China; 2 Chengdu Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, Chengdu 610225, China

Received:2023-06-01 Revised:2023-07-12 Online:2025-11-28 Published:2025-11-24

摘要/Abstract

摘要： 大气光学湍流廓线是大气光学湍流强度垂直分布形态的表征，也是环境空气质量演化的重要指示因子。本文基于成都市温江区2020 年2 月的雷达探空资料，分别利用Coulman外尺度模型、Thorpe 尺度方法和Hufnagel-Vally 5/ 7 模式估算了该地区对流层中下层 (< 5 km) 的大气光学湍流廓线，探讨了不同大气光学湍流廓线估算方法的适用性。结果表明： (1) 利用Coulman 外尺度模式估算的大气光学湍流廓线与L波段风廓线雷达实测的大气光学湍流廓线基本一致，二者的相关系数为0.70； (2) Thorpe 尺度的估算结果与实测结果的相关系数为0.60，二者在4 km高度以下呈现出较好的一致性，量级偏差主要出现在4~5 km高度区； (3) Hufnagel-Vally 5/7 模式的估算结果未能准确地反映实际大气光学湍流廓线的变化特征，其相关系数为0.15。总之，基于Tatarski 参数化方法的Coulman 外尺度模型在该地区取得了最优的估算结果，为成都及其他下垫面相似区域的大气光学湍流廓线的估算提供了方法支撑。

关键词: 大气光学, 光学湍流, 风廓线雷达, 估算方法, 成都地区

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.

Key words: atmospheric optical turbulence profile, wind profile radar, estimation method, optimization; Chengdu region

中图分类号:

P427.1

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.

ZHANG Meng , NI Changjian , . Comparison of methods for estimating atmospheric optical turbulence profiles in Chengdu[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(6): 703-712.

参考文献

[1] Kornilov, V., et al., Combined MASS–DIMM instruments for atmospheric turbulence studies. 2007. 382(3): p. 1268-1278.
[2] Tatarski, V.I., Wave propagation in a turbulent medium. 2016: Courier Dover Publications.
[3] Ishihara, M., et al., Characteristics and performance of the operational wind profiler network of the Japan Meteorological Agency. 2006. 84(6): p. 1085-1096.
[4] Schlatter, T.,F.J.N.F.S.L. Zbar, Wind profiler assessment report and recommendations for future use. 1994. 15.
[5] Liu, L., et al., Optical turbulence profiling with single star SCIDAR technique. 2013. 58(36): p. 4566-4570.
[6] Coulman, C., et al., Outer scale of turbulence appropriate to modeling refractive-index structure profiles. 1988. 27(1): p. 155-160.
[7] Dewan, E.M., A Model for C2n (optical turbulence) profiles using radiosonde data. 1993: Directorate of Geophysics, Air Force Materiel Command.
[8] Trinquet, H.,J.J.P.o.t.A.S.o.t.P. Vernin, A model to forecast seeing and estimate C2N profiles from meteorological data. 2006. 118(843): p. 756.
[9] 蔡俊, 李学彬, 武鹏飞,等. 利用Tatarski方案估算不同环境下的光学湍流廓线[J]. 红外与激光工程, 2018, 047(011):274-280.
Cai Jun, Li Xuebin, Wu Pengfei, Wu Xiaoqing. Estimation of atmospheric optical turbulence profiles in different environments based on Tatarski parameterization scheme[J]. Infrared and Laser Engineering, 2018, 47(11): 1111002-1111002(7). doi: 10.3788/IRLA201847.1111002
[10] 胡晓丹, 苏昶东, 罗涛,等. Thorpe尺度估算库尔勒、茂名、拉萨大气光学湍流廓线[J]. 强激光与粒子束, 2019, 31(8):6.
Hu Xiaodan, Su Changdong, Luo Tao, et al. Estimating the profiles of atmospheric turbulence above Korla, Maoming, Lhasa by Thorpe scale[J]. High Power Laser and Particle Beams, 2019, 31: 081002. doi: 10.11884/HPLPB201931.190074
[11] Miller, M.,P. Zieske, Turbulence environment characterization. 1979, AVCO EVERETT RESEARCH LAB INC EVERETT MA.
[12] Jumper, G.,R. Beland. Progress in the understanding and modeling of atmospheric optical turbulence. in 31st Plasmadynamics and Lasers Conference. 2000.
[13] Beland, R.R.,J.H.J.P.S. Brown, A deterministic temperature model for stratospheric optical turbulence. 1988. 37(3): p. 419.
[14] 吴晓庆, 方强, 饶瑞中. 近海边高空光学湍流的探空测量与模式比较[J]. 强激光与粒子束. 2006(10): p. 1605-1609.
Wu xiao-qing, fang qiang, rao rui-zhong. Optical turbulence measurements on the coast with balloon-borne thermosonde and comparison with model[J]. High Power Laser and Particle Beams, 2006, 18.
[15] 青春, 吴晓庆, 李学彬, 等. WRF模式估算丽江高美古大气光学湍流廓线[J]. 中国激光, 2015, 42(9): 0913001
Qing Chun, Wu Xiaoqing, Li Xuebin, et al. Estimation of Atmospheric Optical Turbulence Profile by WRF Model at Gaomeigu[J]. Chinese Journal of Lasers, 2015, 42(9): 0913001(in chinese)
[16] 许利明, 吴晓庆, 王英俭. 利用中尺度天气预报模式预报大气光学湍流[J]. 大气与环境光学学报, 2008, 3(4): 0270
XU Li-ming, WU Xiao-qing, WANG Ying-jian. Forecast Optical Turbulence with Mesoscale Weather Forecast Model[J]. Journal of Atmospheric and Environmental Optics, 2008, 3(4): 0270(in chinese)
[17] Kolmogorov A . The Local Structure of Turbulence in Incompressible Viscous Fluid for Very Large Reynolds' Numbers[J]. Akademiia Nauk SSSR Doklady, 1941, 30.
[18] Ottersten H. Atmospheric structure and radar backscattering in clear air[J]. Radio Science, 1969, 4(12): 1179-1193.
[19] Beland R R. Propagation through atmospheric optical turbulence[J]. Atmospheric Propagation of Radiation, 1993, 2: 157-232.
[20]李双喜,付元芬,黄寅亮,等. 对湍流折射率结构系数C2n中的数值常数α 的讨论[J]. 中国学术期刊文摘,2001,7(2):225-227.
Li Shuangxi, Fu Yuanfen, Huang Yinliang, et al. Discussion of the numerical constant α in the turbulent refractive index structure coefficient C2n[J]. Chinese Academic Journal Abstracts,2001,7(2):225-227.
[21]许利明, 吴晓庆, 王英俭. 用常规气象参数估算光学湍流廓线方法的比较[J]. 强激光与粒子束, 2008, 20(1): 0053
Xu li-ming, Wu xiao-qing, Wang ying-jian. Methods comparision of estimating optical turbulence profile using conventional meteorology parameters[J]. High Power Laser and Particle Beams, 2008, 20.
[22] Sukanta, Basu. A simple approach for estimating the refractive index structure parameter (Cn2) profile in the atmosphere.[J]. Optics Letters, 2015.
[23] 赵强, 张蕊, 林乐科, 等. 对流层散射传输损耗与大气折射率结构常数相关性研究[J]. 电子学报, 2020, 48(3): 518-523.
ZHAO Qiang, ZHANG Rui, LIN Le-ke, et al. Research on the Correlation of Troposcatter Transmission Loss and Structure Constant of the Refractive Index[J]. Acta Electronica Sinica, 2020, 48(3): 518-523.
[24] Beland R R, Brown J H, Good R E, et al. Optical turbulence characterization of AMOS, 1985[J]. Tech. rep., 1988.
[25] Hufnagel R E , Stanley N R . Modulation Transfer Function Associated with Image Transmission through Turbulent Media[J]. Journal of the Optical Society of America, 1964, 54(1):52-60.
[26] 韩亚娟, 吴晓庆, 罗涛, 苏昶东, 青春, 吴骕, 杨期科, 张坤. 拉萨光学湍流探空测量与模式分析[J]. 光学学报, 2020, 40(6): 0601002.
Yajuan Han, Xiaoqing Wu, Tao Luo, Changdong Su, Chun Qing, Su Wu, Qike Yang, Kun Zhang. Optical Turbulence Measurement over Lhasa Using a Meteorological Radiosonde and Model Analysis[J]. Acta Optica Sinica, 2020, 40(6): 0601002.

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

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	王志远, 吴晓庆, 杨期科, 胡晓丹, 郭一鸣. 探空气球尾流对光学湍流测量的影响(封面文章)[J]. 大气与环境光学学报, 2025, 20(5): 559-570.
[2]	郭梦星, 武鹏飞, 樊子钊, 饶瑞中, . 混浊大气介质调制传递函数参数化解析模型[J]. 大气与环境光学学报, 2025, 20(4): 423-435.
[3]	张思敏, 黄见, 时东锋, 苑克娥, 胡顺星 . 水汽差分吸收激光雷达技术研究进展[J]. 大气与环境光学学报, 2025, 20(3): 263-280.
[4]	步巧利, 李浩文 . 佛山干季边界层结构及其对空气质量的影响[J]. 大气与环境光学学报, 2025, 20(2): 145-157.
[5]	苏继锋, 王海龙, 刘勇, 李帅, 康汉青 . 一次阵风锋触发的强对流天气过程分析[J]. 大气与环境光学学报, 2025, 20(1): 34-46.
[6]	郑腾飞, 李肖雅, 万齐林, 于鑫, 杨晓雁, 于明洋, 陈炜杰, 蔡康龙 . 综合观测试验中的激光测风雷达探测性能分析[J]. 大气与环境光学学报, 2024, 19(5): 529-542.
[7]	祝颂, 邓学良, 沈薇薇, 吴月, 金晓龙. 合肥地区风廓线雷达资料评估初探[J]. 大气与环境光学学报, 2023, 18(6): 516-531.
[8]	耿丹, 赵增亮, 范志强, 吴作伟, 李东阳, 张向星 . 利用气象火箭探测资料估算戈壁地区高空折射率结构常数廓线[J]. 大气与环境光学学报, 2023, 18(2): 99-107.
[9]	刘栋1,2,戴聪明1*,魏合理1,2. 中高层大气临边红外辐射的LTE与non-LTE模拟对比[J]. 大气与环境光学学报, 2019, 14(5): 337-344.
[10]	钱璇, 姚永强, 尹佳, 魏合理, 戴聪明, 张长全, 强希文. 光通信地面网络候选站址的大气信道特性统计检验[J]. 大气与环境光学学报, 2019, 14(3): 161-170.
[11]	吴时超1,2,麻金继1,2,章群英1,2,余海啸1,2,安源1,2. 基于粒子偏振特性的雾霾区分算法研究[J]. 大气与环境光学学报, 2019, 14(3): 221-227.
[12]	梅海平,吴晓庆,饶瑞中. 折返路径光学湍流激光成像探测技术研究[J]. 大气与环境光学学报, 2018, 13(6): 417-.
[13]	孙刚, 翁宁泉, 肖黎明, 刘庆, 李学彬. 典型地区大气湍流高度分布特性与模式研究[J]. 大气与环境光学学报, 2018, 13(6): 425-.
[14]	王钰茹梅海平. 湍流大气折返路径成像光斑与光强起伏实验研究[J]. 大气与环境光学学报, 2018, 13(4): 241-249.
[15]	李珍珍张季. 典型类型气溶胶散射特性的计算分析[J]. 大气与环境光学学报, 2018, 13(4): 250-257.