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Research on the Z-R relationship of mixed convective-stratiform clouds in Xi'an area

Authors :
Jin WANG
Zhiguo YUE
Wenbin HE
Changming DAI
Liujie PAN
Hui LIU
Lei ZHANG
Source :
暴雨灾害, Vol 39, Iss 4, Pp 409-417 (2020)
Publication Year :
2020
Publisher :
Editorial Office of Torrential Rain and Disasters, 2020.

Abstract

Based on the raindrop spectrum data observed in Xi'an, Shaanxi Province from 2013 to 2014, and combined with the observation data of the weather radar, the mean raindrop distribution, the microphysical characteristic quantity and Z-R relationship of 43 precipitation events of the mixed convective-stratiform clouds were statistically analyzed. The results show that the mean raindrop spectrum of the precipitation display a single peak, and the fitting of the Gamma distribution to the large precipitation particles is obviously better than that of the M-P distribution. The drop size corresponding to the peak value of raindrop number concentration and having the greatest contribution to rainfall intensity appeared at less than 1 mm in diameter in the raindrop spectrum. A Z-R relationship Z=168R1.43 has been established by the least square method for the mixed convective-stratiform clouds in Xi'an area. When the echo intensity calculated from raindrop spectrum data is less than (greater than) 30 dBz, the radar observation can overestimate the echo intensity. With echo intensity decreasing, the radar echo intensity is obviously overestimated (underestimated). A 5-grade revised scheme for the radar echo is proposed. The Z-R relationship Z=168R1.43 was used to estimate the rainfall during the precipitation events of the mixed convective-stratiform clouds in Xi'an area. The estimated amount of precipitation is closer to the actually measured rainfall. The relative error of the estimated rainfall was reduced from 51.3% to 25.4%.

Details

Language :
Chinese
ISSN :
20972164 and 10049045
Volume :
39
Issue :
4
Database :
Directory of Open Access Journals
Journal :
暴雨灾害
Publication Type :
Academic Journal
Accession number :
edsdoj.91cd98edf0e14e68922842f8a06570ea
Document Type :
article
Full Text :
https://doi.org/10.3969/j.issn.1004-9045.2020.04.011