干旱区生态环境知识资源中心(Arid): Microphysical Characteristics of Raindrop Size Distribution and Implications for Dual-Polarization Radar Quantitative Precipitation Estimations in the Tianshan Mountains, China

Arid

DOI	10.3390/rs15102668
	Microphysical Characteristics of Raindrop Size Distribution and Implications for Dual-Polarization Radar Quantitative Precipitation Estimations in the Tianshan Mountains, China
	Zeng, Yong; Li, Jiangang; Yang, Lianmei; Li, Haoyang; Li, Xiaomeng; Tong, Zepeng; Jiang, Yufei; Liu, Jing; Zhang, Jinru; Zhou, Yushu
通讯作者	Yang, LM
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:10
英文摘要	In order to improve the understanding of the microphysical characteristics of raindrop size distribution (DSD) under different rainfall rates (R) classes, and broaden the knowledge of the impact of radar wavelengths and R classes on the QPE of dual-polarization radars in the Tianshan Mountains, a typical arid area in China, we investigated the microphysical characteristics of DSD across R classes and dual-polarimetric radar QPE relationships across radar wavelengths and R classes, based on the DSD data from a PARSIVEL(2) disdrometer at Zhaosu in the Tianshan Mountains during the summers of 2020 and 2021. As the R class increased, the DSD became wider and flatter. The mean value of the mass-weighted mean diameters (D-m) increased, while the mean value of logarithm normalized intercept parameters (log(10) N-w) decreased after increasing from C1 to C3, as the R class increased. The largest contributions to R and the radar reflectivity factor from large raindrops (diameter > 3 mm) accounted for approximately 50% and 97%, respectively, while 84% of the total raindrops were small raindrops (diameter < 1 mm). Dual-polarization radars-horizontal polarization reflectivity (Z(h)), differential reflectivity (Z(dr)), and specific differential phase (K-dp)-were retrieved based on the DSD data using the T-matrix scattering method. The DSD-based polarimetric radar QPE relations of a single-parameter (R(Z(h)), R(K-dp)), and double-parameters (R(Z(h),Z(dr)), R(K-dp,Z(dr))) on the S-, C-, and X-bands were derived and evaluated. Overall, the performance of the R(K-dp) (R(K-dp,Z(dr))) scheme was better than that of R(Z(h)) (R(Z(h),Z(dr))) for the QPE in the three bands. Furthermore, we have for the first time confirmed and quantified the performance differences in the QPE relationship of dual-polarization radars under different schemes, radar wavelengths, and R classes in typical arid areas of China. Therefore, selecting an appropriate dual-polarization radar band and QPE scheme for different R classes is necessary to improve the QPE ability compared with an independent scheme under all R classes.
英文关键词	raindrop size distribution dual-polarization radar quantitative precipitation estimation rain rate class Tianshan Mountains
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000997818500001
WOS关键词	DROP SIZE ; STATISTICAL CHARACTERISTICS ; POLARIMETRIC RADAR ; RAINFALL ESTIMATION ; PART I ; DISDROMETER ; PARAMETERIZATION ; SPECTRA ; TAIWAN
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398272
推荐引用方式 GB/T 7714	Zeng, Yong,Li, Jiangang,Yang, Lianmei,et al. Microphysical Characteristics of Raindrop Size Distribution and Implications for Dual-Polarization Radar Quantitative Precipitation Estimations in the Tianshan Mountains, China[J],2023,15(10).
APA	Zeng, Yong.,Li, Jiangang.,Yang, Lianmei.,Li, Haoyang.,Li, Xiaomeng.,...&Zhou, Yushu.(2023).Microphysical Characteristics of Raindrop Size Distribution and Implications for Dual-Polarization Radar Quantitative Precipitation Estimations in the Tianshan Mountains, China.REMOTE SENSING,15(10).
MLA	Zeng, Yong,et al."Microphysical Characteristics of Raindrop Size Distribution and Implications for Dual-Polarization Radar Quantitative Precipitation Estimations in the Tianshan Mountains, China".REMOTE SENSING 15.10(2023).