TY - JOUR
T1 - Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event
AU - Chen, Gang
AU - Zhao, Kun
AU - Lu, Yinghui
AU - Zheng, Yuanyuan
AU - Xue, Ming
AU - Tan, Zhe Min
AU - Xu, Xin
AU - Huang, Hao
AU - Chen, Haonan
AU - Xu, Fen
AU - Yang, Ji
AU - Zhang, Shushi
AU - Fan, Xueqi
N1 - Funding Information:
We would like to acknowledge the China Meteorological Administration for collecting and archiving the disdrometer, rain gauge and radiosonde data used in this study. This work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 42025501, 42005009, 41875053, U2142203), the National Key Research and Development Program of China (Grant No. 2017YFC1501703), the Basic Research Fund of CAMS (Grant No. 2021Z003) and the Open Research Program of the State Key Laboratory of Severe Weather (Grant No. 2020LASW-A01).
Publisher Copyright:
© 2022, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022/10
Y1 - 2022/10
N2 - In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions.
AB - In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions.
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U2 - 10.1007/s11430-022-9972-9
DO - 10.1007/s11430-022-9972-9
M3 - Article
AN - SCOPUS:85133643302
SN - 1674-7313
VL - 65
SP - 1861
EP - 1878
JO - Science China Earth Sciences
JF - Science China Earth Sciences
IS - 10
ER -