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Volume 1 Issue 1

Jan.  1984

Article Contents

INTEGRATION METHOD AND RATIO METHOD FOR RETRIEVING EXTINCTION COEFFICIENT FROM LIDAR SIGNALS


doi: 10.1007/BF03187616

  • New solution techniques to improve the accuracy of quantitatively determining the atmospheric extinction coefficient and the backscattering-to-extinction ratio from lidar signals are developed. The integration method is proposed to analytically retrieve the extinction coefficient at ground level, which has the advantage of eliminating the effect of backscattering fluctuations on the inversion results.The ratio method, on the other hand, deals with the inversion of the vertical distribution of the extinction coefficient. The main idea of this method is to begin with a calculation of the transmittance by eliminating the backscattering through ratioing lidar signals at two elevations, and subsequently derive the extinction coefficient from the transmittance, thus avert from ambiguous results caused by inappropriate assumptions on the backscattering-to-extinction ratio. Observational investigations have demonstrated that the integration method is superior to the slope method in terms of accuracy and stability, and the ratio method is reasonable and feasible as well.
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    [2] Peipei YU, Chunxiang SHI, Ling YANG, Shuai SHAN, 2020: A New Temperature Channel Selection Method Based on Singular Spectrum Analysis for Retrieving Atmospheric Temperature Profiles from FY-4A/GIIRS, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 735-750.  doi: 10.1007/s00376-020-9249-9
    [3] Xiaojuan SUN, Siyan LI, Julian X. L WANG, Panxing WANG, Dong GUO, 2022: A New Method of Significance Testing for Correlation-Coefficient Fields and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 529-535.  doi: 10.1007/s00376-021-1196-6
    [4] Qiu Jinhuan, Wang Hongqi, Zhou Xiuji, Lu Daren, 1985: EXPERIMENTAL STUDY OF REMOTE SENSING OF ATMOSPHERIC AEROSOL SIZE DISTRIBUTION BY COMBINED SOLAR EXTINCTION AND FORWARD SCATTERING METHOD, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 307-315.  doi: 10.1007/BF02677246
    [5] ZHONG Lingzhi, LIU Liping, DENG Min, ZHOU Xiuji, 2012: Retrieving Microphysical Properties and Air Motion of Cirrus Clouds Based on the Doppler Moments Method Using Cloud Radar, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 611-622.  doi: 10.1007/s00376-011-0112-x
    [6] Wu Beiying, Lu Daren, 1985: REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD -NUMERICAL SIMULATION OF THE RETRIEVING, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 325-333.  doi: 10.1007/BF02677248
    [7] Zeng Xinmin, Zhao Ming, Su Bingkai, 2000: A Numerical Study on Effects of Land-Surface Heterogeneity from “Combined Approach” on Atmospheric Process Part I: Principle and Method, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 103-120.  doi: 10.1007/s00376-000-0047-0
    [8] Shen YAN, Jie XIANG, Huadong DU, 2019: Determining Atmospheric Boundary Layer Height with the Numerical Differentiation Method Using Bending Angle Data from COSMIC, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 303-312.  doi: 10.1007/s00376-018-7308-2
    [9] XU Dongmei, Thomas AULIGNÈ, Xiang-Yu HUANG, 2015: A Validation of the Multivariate and Minimum Residual Method for Cloud Retrieval Using Radiance from Multiple Satellites, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 349-362.  doi: 10.1007/s00376-014-3258-5
    [10] Li Jun, Zhou Fengxian, 1992: On Accurate Detection of Oceanic Features from Satellite IR Data Using ICSED Method, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 373-382.  doi: 10.1007/BF02656948
    [11] Wang Bin, Ji Zhongzhen, 1993: An Improved Splitting Method, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 447-452.  doi: 10.1007/BF02656969
    [12] Liu Guifu, 1996: Introduction to an Invariant Quantity Method, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 59-66.  doi: 10.1007/BF02657028
    [13] YAO Zhigang, CHEN Hongbin, LIN Longfu, 2005: Retrieving Atmospheric Temperature Profiles from AMSU-A Data with Neural Networks, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 606-616.  doi: 10.1007/BF02918492
    [14] Chenbin XUE, Zhiying DING, Xinyong SHEN, Xian CHEN, 2022: Three-Dimensional Wind Field Retrieved from Dual-Doppler Radar Based on a Variational Method: Refinement of Vertical Velocity Estimates, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 145-160.  doi: 10.1007/s00376-021-1035-9
    [15] Xuechun LUO, Xiao TANG, Haoyue WANG, Lei KONG, Huangjian WU, Weiguo WANG, Yating SONG, Hongyan LUO, Yao WANG, Jiang ZHU, Zifa WANG, 2023: Investigating the Changes in Air Pollutant Emissions over the Beijing-Tianjin-Hebei Region in February from 2014 to 2019 through an Inverse Emission Method, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 601-618.  doi: 10.1007/s00376-022-2039-9
    [16] Fang Yuan, Zijiang Zhou, LIAO Jie, 2024: A New method for deriving the high-vertical-resolution Wind Vector data from L-band radar sounding system in China, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3163-5
    [17] LI Nan, WEI Ming, TANG Xiaowen, PAN Yujie, 2007: An Improved Velocity Volume Processing Method, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 893-906.  doi: 10.1007/s00376-007-0893-0
    [18] Xu Hong, Li Hongji, Wang Ronghua, 1989: A Numerical Method of Statistical Pattern Recognition, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 483-492.  doi: 10.1007/BF02659082
    [19] Ji Zhongzhen, Wang Bin, 1997: Multispectrum Method and the Computation of Vapor Equation, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 563-568.  doi: 10.1007/s00376-997-0074-1
    [20] HUO Yanfeng, DUAN Minzheng, TIAN Wenshou, MIN Qilong, 2015: A Differential Optical Absorption Spectroscopy Method for X CO2 Retrieval from Ground-Based Fourier Transform Spectrometers Measurements of the Direct Solar Beam, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1119-1128.  doi: 10.1007/s00376-015-4213-9

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Manuscript History

Manuscript received: 10 January 1984
Manuscript revised: 10 January 1984
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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INTEGRATION METHOD AND RATIO METHOD FOR RETRIEVING EXTINCTION COEFFICIENT FROM LIDAR SIGNALS

  • 1. InstituteofAtmosphericPhysics,AcademiaSinica,Beijing,InstituteofAtmosphericPhysics,AcademiaSinica,Beijing,InstituteofAtmosphericPhysics,AcademiaSinica,Beijing

Abstract: New solution techniques to improve the accuracy of quantitatively determining the atmospheric extinction coefficient and the backscattering-to-extinction ratio from lidar signals are developed. The integration method is proposed to analytically retrieve the extinction coefficient at ground level, which has the advantage of eliminating the effect of backscattering fluctuations on the inversion results.The ratio method, on the other hand, deals with the inversion of the vertical distribution of the extinction coefficient. The main idea of this method is to begin with a calculation of the transmittance by eliminating the backscattering through ratioing lidar signals at two elevations, and subsequently derive the extinction coefficient from the transmittance, thus avert from ambiguous results caused by inappropriate assumptions on the backscattering-to-extinction ratio. Observational investigations have demonstrated that the integration method is superior to the slope method in terms of accuracy and stability, and the ratio method is reasonable and feasible as well.

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