REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD-COMPLETE EQUATION AND NUMERICAL SIMULATION

Wu Beiying; Lu Daren

doi:10.1007/BF03187613

Impact Factor: 5.8

Volume 1 Issue 1

Jan. 1984

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1984 > 1(1): 19-39

REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD-COMPLETE EQUATION AND NUMERICAL SIMULATION

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

doi: 10.1007/BF03187613

Abstract
References
Related papers
PDF

Abstract:
Remote sensing of rainfall parameters by using laser scintillation effect, originally proposed by Wang et al. is a unique approach for getting rainfall rate and raindrop size distribution with excellent temporal and spatial representativeness. In this paper, we review Wang's work, point out the weakness of their basic equations, then establish a complete remote sensing equation in which the observable quantity, the scintillation of light intensity is used. The relationships between the rainfall parameters and the spatial-temporal correlation function of light scintilla tion are systematically discussed. Numerical investigations show that this equation gives at least four different ways to obtain the rainfall rate, and the kernel functions for raindrop size distribution are of excellent resolution. At last, the retrieval scheme of the drop size distribution is discussed.
References

[1]	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
[2]	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
[3]	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
[4]	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
[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]	Yi Zengxin, T. Warn, 1987: A NUMERICAL METHOD FOR SOLVING THE EVOLUTION EQUATION OF SOLITARY ROSSBY WAVES ON A WEAK SHEAR, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 43-54. doi: 10.1007/BF02656660
[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]	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
[10]	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
[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 Bolin, 1990: Study on Microwave Remote Sensing of Atmosphere, Cloud and Rain, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 475-490. doi: 10.1007/BF03342566
[13]	CUI Xiaopeng, GAO Shouting, WU Guoxiong, 2003: Up-Sliding Slantwise Vorticity Development and the Complete Vorticity Equation with Mass Forcing, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 825-836. doi: 10.1007/BF02915408
[14]	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
[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]	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
[17]	Huang Sixun, 1996: Inversion and Ill-Posed Problem Solutions in Atmospheric Remote Sensing, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 489-504. doi: 10.1007/BF03342039
[18]	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
[19]	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
[20]	D. R. Chakraborty, P.S. Salvekar, 1989: An Efficient Accurate Direct Solution of Poisson’s Equation for Computation of Meteorological Parameters, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 501-508. doi: 10.1007/BF02659084

PDF

Get Citation+

Export:

Article Metrics

Article Views: 1767 Times

PDF downloads: 1162 Times

Cited by: Times

Proportional views

Manuscript History

Manuscript received: 10 January 1984

Manuscript revised: 10 January 1984

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

REMOTE SENSING OF RAINFALL PARAMETERS BY LASER SCINTILLATION CORRELATION METHOD-COMPLETE EQUATION AND NUMERICAL SIMULATION

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

Manuscript received: 1984-01-10
Manuscript revised: 1984-01-10

Abstract: Remote sensing of rainfall parameters by using laser scintillation effect, originally proposed by Wang et al. is a unique approach for getting rainfall rate and raindrop size distribution with excellent temporal and spatial representativeness. In this paper, we review Wang's work, point out the weakness of their basic equations, then establish a complete remote sensing equation in which the observable quantity, the scintillation of light intensity is used. The relationships between the rainfall parameters and the spatial-temporal correlation function of light scintilla tion are systematically discussed. Numerical investigations show that this equation gives at least four different ways to obtain the rainfall rate, and the kernel functions for raindrop size distribution are of excellent resolution. At last, the retrieval scheme of the drop size distribution is discussed.