Study on Atmospheric Temperature and Water-Vapor Mixing Ratio Based on Raman Lidar

被引:2
|
作者
Tan Min [1 ,2 ,3 ]
Wang Bang-xin [1 ,2 ,3 ]
Zhuang Peng [1 ,2 ,3 ]
Zhang Zhan-ye [1 ,2 ,3 ]
Li Lu [1 ,2 ,3 ]
Chu Yu-fei [1 ,2 ,3 ]
Xie Chen-bo [1 ,2 ]
Wang Ying-jian [1 ,2 ]
机构
[1] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
[2] Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China
[3] Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Peoples R China
关键词
Raman lidar; Temperature; Water vapor; POLLUTION; AEROSOLS;
D O I
10.3964/j.issn.1000-0593(2020)05-1397-05
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Raman lidar has been designed by the Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, which measures atmospheric temperature, water vapor, and aerosol simultaneously. A high-performance spectroscopic box that utilizes multicavity interference filters, mounted sequentially at small angles of incidence, is used to separate the lidar return signals at different wavelengths, and to extract the signals with high efficiency. The external experiments are carried out for simultaneous detection of atmospheric temperature, water vapor, under clear and hazy weather conditions. The vertical profiles of temperature, water vapor are analyzed. The results show that for an integration time of 5 min and laser energy of 200 mJ, the mean deviation between measurements obtained by lidar and radiosonde is small, and the overall trend is similar. The temperature inversion layer is found in the low troposphere. The statistical temperature error for nighttime is below 1 K up to a height of 6. 2 km under clear weather conditions, and up to a height of 2. 5 km under slightly hazy weather conditions, with 5 min of observation time. Moreover, the relative error in water vapor detection process mostly does not exceed 5% up to 4 km, and is well below 20% up to 7. 5 km. Continuous observations verify the reliability of Raman lidar to achieve real-time measurement of atmospheric parameters in the troposphere.
引用
收藏
页码:1397 / 1401
页数:5
相关论文
共 10 条
  • [1] Chemical composition of size-resolved atmospheric aerosols in the eastern Mediterranean during summer and winter
    Bardouki, H
    Liakakou, H
    Economou, C
    Sciare, J
    Smolík, J
    Zdímal, V
    Eleftheriadis, K
    Lazaridis, M
    Dye, C
    Mihalopoulos, N
    [J]. ATMOSPHERIC ENVIRONMENT, 2003, 37 (02) : 195 - 208
  • [2] Combined Raman lidar for the measurement of atmospheric temperature, water vapor, particle extinction coefficient, and particle backscatter coefficient
    Behrendt, A
    Nakamura, T
    Onishi, M
    Baumgart, R
    Tsuda, T
    [J]. APPLIED OPTICS, 2002, 41 (36) : 7657 - 7666
  • [3] Haze observations by simultaneous lidar and WPS in Beijing before and during APEC, 2014
    Chen, Zhenyi
    Zhang, Jiaoshi
    Zhang, Tianshu
    Liu, Wenqing
    Liu, Jianguo
    [J]. SCIENCE CHINA-CHEMISTRY, 2015, 58 (09) : 1385 - 1392
  • [4] Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)2 Observational Prototype Experiment
    Hammann, E.
    Behrendt, A.
    Le Mounier, F.
    Wulfmeyer, V.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (05) : 2867 - 2881
  • [5] Retrieval and Analysis of Atmospheric Temperature Using a Rotational Raman Lidar Observation
    Liu Yu-li
    Xie Chen-bo
    Shang Zhen
    Zhao Ming
    Cao Kai-fa
    Sun Yue-sheng
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36 (06) : 1978 - 1986
  • [6] Oberdörster G, 2001, INT ARCH OCC ENV HEA, V74, P1
  • [7] Scanning rotational Raman lidar at 355 nm for the measurement of tropospheric temperature fields
    Radlach, M.
    Behrendt, A.
    Wulfmeyer, V.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2008, 8 (02) : 159 - 169
  • [8] Air pollution, greenhouse gases and climate change: Global and regional perspectives
    Ramanathan, V.
    Feng, Y.
    [J]. ATMOSPHERIC ENVIRONMENT, 2009, 43 (01) : 37 - 50
  • [9] Modeling study of regional severe hazes over mid-eastern China in January 2013 and its implications on pollution prevention and control
    Wang ZiFa
    Li Jie
    Wang Zhe
    Yang WenYi
    Tang Xiao
    Ge BaoZhu
    Yan PinZhong
    Zhu LiLi
    Chen XueShun
    Chen HuanSheng
    Wand Wei
    Li JianJun
    Liu Bing
    Wang XiaoYan
    Wand Wei
    Zhao YiLin
    Lu Ning
    Su DeBin
    [J]. SCIENCE CHINA-EARTH SCIENCES, 2014, 57 (01) : 3 - 13
  • [10] RAMAN LIDAR SYSTEM FOR THE MEASUREMENT OF WATER-VAPOR AND AEROSOLS IN THE EARTHS ATMOSPHERE
    WHITEMAN, DN
    MELFI, SH
    FERRARE, RA
    [J]. APPLIED OPTICS, 1992, 31 (16): : 3068 - 3082