Dual-Polarization Radar Fingerprints of Precipitation Physics: A Review

被引：16
|
作者：
Kumjian, Matthew R. [1 ]
Prat, Olivier P. [2 ]
Reimel, Karly J. [1 ]
Van Lier-Walqui, Marcus [3 ,4 ]
Morrison, Hughbert C. [5 ]
机构：
[1] Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16801 USA
[2] North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA
[3] NASA, Goddard Inst Space Studies, New York, NY 10025 USA
[4] Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USA
[5] Natl Ctr Atmospher Res, Boulder, CO 80305 USA
来源：
REMOTE SENSING | 2022年 / 14卷 / 15期
基金：
美国国家科学基金会;
关键词：
precipitation; microphysics; radar; polarimetry; HYDROMETEOR IDENTIFICATION ALGORITHM; ENSEMBLE KALMAN FILTER; POLARIMETRIC RADAR; MELTING-LAYER; PART II; VERTICAL PROFILES; WINTER STORMS; FUZZY-LOGIC; QUANTITATIVE PRECIPITATION; COALESCENCE EFFICIENCIES;
D O I：
10.3390/rs14153706
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This article reviews how precipitation microphysics processes are observed in dual-polarization radar observations. These so-called "fingerprints" of precipitation processes are observed as vertical gradients in radar observables. Fingerprints of rain processes are first reviewed, followed by processes involving snow and ice. Then, emerging research is introduced, which includes more quantitative analysis of these dual-polarization radar fingerprints to obtain microphysics model parameters and microphysical process rates. New results based on a detailed rain shaft bin microphysical model are presented, and we conclude with an outlook of potentially fruitful future research directions.
引用
收藏
页数：25
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