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Volume 2 Issue 3

Jul.  1985

Article Contents

REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD -NUMERICAL SIMULATION OF THE RETRIEVING


doi: 10.1007/BF02677248

  • This paper is a continuation of an earlier paper. In this paper, we investigate the stability and the representativeness of the rainfall rate h determined by the B2*-h relationship in the scintillation method of remote sensing of rain parameters, develop an adequate scheme for retrieving rainfall rate and raindrop size distribution (DSD), and finally characterize the technique by numerical simulations. The results show that the B2*-h relationship is quite stable for all the raindrop size distributions used in present simulations; the measured rainfall rate is not severely affected by the distribution of the path-weighting function of B2*. The retrieving of DSDs is successful even if the observation errors are assumed in simulations. The rainfall rates derived from the ratrieving of DSD is more accurate than those determined by B2*-h relationship. This method is superior in heavier rains.
  • [1] Wu Beiying, Lu Daren, 1984: REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD-COMPLETE EQUATION AND NUMERICAL SIMULATION, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 19-39.  doi: 10.1007/BF03187613
    [2] 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
    [3] Qiu Jinhuan, 1998: A Method for Spaceborne Synthetic Remote Sensing of Atmospheric Aerosol Optical Depth and Vegetation Reflectance, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 17-30.  doi: 10.1007/s00376-998-0014-8
    [4] WANG Hesong, JIA Gensuo, 2013: Regional Estimates of Evapotranspiration over Northern China Using a Remote-sensing-based Triangle Interpolation Method, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1479-1490.  doi: 10.1007/s00376-013-2294-x
    [5] Cheng Minghu, Shi Guangyu, Zhou Xiuji, 1990: Numerical Experiment of Combined Infrared and Ultraviolet Radiation Remote Sensing to Determine the Profile and Total Content of Atmospheric Ozone, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 305-319.  doi: 10.1007/BF03179763
    [6] Lin Hai, Xin Miaoxin, Wei Chong, Hao Yaokui, Zou Shouxiang, 1985: GROUND-BASED REMOTE SENSING OF LWC IN CLOUD AND RAINFALL BY A COMBINED DUAL-WAVELENGTH RADAR-RADIOMETER SYSTEM, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 93-103.  doi: 10.1007/BF03179741
    [7] Qiu Jinhuan, Lu Daren, 1991: On Lidar Application for Remote Sensing of the Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 369-378.  doi: 10.1007/BF02919620
    [8] Tianxue ZHENG, Yongbo TAN, Yiru WANG, 2021: Numerical Simulation to Evaluate the Effects of Upward Lightning Discharges on Thunderstorm Electrical Parameters, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 446-459.  doi: 10.1007/s00376-020-0154-z
    [9] Fuzhong WENG, Xinwen YU, Yihong DUAN, Jun YANG, Jianjie WANG, 2020: Advanced Radiative Transfer Modeling System (ARMS): A New-Generation Satellite Observation Operator Developed for Numerical Weather Prediction and Remote Sensing Applications, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 131-136.  doi: 10.1007/s00376-019-9170-2
    [10] Zhao Bolin, 1990: Study on Microwave Remote Sensing of Atmosphere, Cloud and Rain, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 475-490.  doi: 10.1007/BF03342566
    [11] Liu Changsheng, 1988: REMOTE SENSING OF TEMPERATURE PROFILES IN THE BOUNDARY LAYER, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 67-74.  doi: 10.1007/BF02657346
    [12] Zhao Yanzeng, Hu Yuliang, Zhao Hongjie, 1984: INTEGRATION METHOD AND RATIO METHOD FOR RETRIEVING EXTINCTION COEFFICIENT FROM LIDAR SIGNALS, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 53-75.  doi: 10.1007/BF03187616
    [13] Swapan MALLICK, Devajyoti DUTTA, Ki-Hong MIN, 2017: Quality Assessment and Forecast Sensitivity of Global Remote Sensing Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 371-382.  doi: 10.1007/s00376-016-6109-8
    [14] Huang Sixun, 1996: Inversion and Ill-Posed Problem Solutions in Atmospheric Remote Sensing, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 489-504.  doi: 10.1007/BF03342039
    [15] Ping YANG, Kuo-Nan LIOU, Lei BI, Chao LIU, Bingqi YI, Bryan A. BAUM, 2015: On the Radiative Properties of Ice Clouds: Light Scattering, Remote Sensing, and Radiation Parameterization, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 32-63.  doi: 10.1007/s00376-014-0011-z
    [16] QIU Jinhuan, CHEN Hongbin, 2004: Recent Progresses in Atmospheric Remote Sensing Research in China-- Chinese National Report on Atmospheric Remote Sensing Research in China during 1999-2003, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 475-484.  doi: 10.1007/BF02915574
    [17] CUI Xuefeng, HUANG Gang, CHEN Wen, 2008: Notes of Numerical Simulation of Summer Rainfall in China with a Regional Climate Model REMO, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 999-1008.  doi: 10.1007/s00376-008-0999-z
    [18] 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
    [19] HUANG Sixun, CAO Xiaoqun, DU Huadong, WANG Tingfang, XIANG Jie, 2006: Retrieval of Atmospheric and Oceanic Parameters and the Relevant Numerical Calculation, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 106-117.  doi: 10.1007/s00376-006-0011-8
    [20] MA Yaoming, WANG Jiemin, HUANG Ronghui, WEI Guoan, Massimo MENENTI, SU Zhongbo, HU Zeyong, GAO Feng, WEN Jun, 2003: Remote Sensing Parameterization of Land Surface Heat Fluxes over Arid and Semi-arid Areas, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 530-539.  doi: 10.1007/BF02915496

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Manuscript History

Manuscript received: 10 July 1985
Manuscript revised: 10 July 1985
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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REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD -NUMERICAL SIMULATION OF THE RETRIEVING

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

Abstract: This paper is a continuation of an earlier paper. In this paper, we investigate the stability and the representativeness of the rainfall rate h determined by the B2*-h relationship in the scintillation method of remote sensing of rain parameters, develop an adequate scheme for retrieving rainfall rate and raindrop size distribution (DSD), and finally characterize the technique by numerical simulations. The results show that the B2*-h relationship is quite stable for all the raindrop size distributions used in present simulations; the measured rainfall rate is not severely affected by the distribution of the path-weighting function of B2*. The retrieving of DSDs is successful even if the observation errors are assumed in simulations. The rainfall rates derived from the ratrieving of DSD is more accurate than those determined by B2*-h relationship. This method is superior in heavier rains.

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