干旱区生态环境知识资源中心(Arid): Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT)

Arid

DOI	10.1155/2020/8845667
	Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT)
	Zeng, Yong; Yang, Lianmei; Tong, Zepeng; Zhang, Zuyi
通讯作者	Zeng, Y (corresponding author), China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China. ; Zeng, Y (corresponding author), Ctr Cent Asian Atmosphere Sci Res, Urumqi 830002, Peoples R China.
来源期刊	ADVANCES IN METEOROLOGY
ISSN	1687-9309
EISSN	1687-9317
出版年	2020
卷号	2020
英文摘要	At present, there is insufficient research on the refinement of the vertical structure of winter snowstorm systems in arid areas, and, compared with the central and eastern China, the observation sites in arid areas of northwestern China are scarce. To deepen the understanding of dynamics and microphysical processes and improve the level of forecasting and warning of snowstorms in northwestern China, the Institute of Desert Meteorology, China Meteorological Administration, Urumqi, carried out the Central Asia Extreme Precipitation Observation Test (CAEPOT) in Yili, Xinjiang, a typical arid region in China in February 2020. This paper uses multiple fine detection datasets obtained from the CAEPOT, including radar wind profiler, ground-based microwave radiometer, and millimeter-wave cloud radar to analyze macroscopic characteristics and microphysical changes of snowstorm system in Xinjiang. Studies have shown that the low trough with sufficient moisture, heat, power conditions, and weakening banded cloud system, which moved eastward from the Aral Sea to the west of Xinjiang during the snowstorm, were the key influencing system of this snowstorm. Before the snowstorm, the vertical shear of the horizontal wind field was severe, which aggravated the instability of the atmosphere, and there was upward motion in the lower atmosphere. A variety of physical quantities related to moisture showed a tendency to increase at the lower level and could be used as an early warning signal for snowstorm about 8 hours in advance, and the cloud and snow particles observed by millimeter-wave cloud radar were simultaneously developing upward and downward from 4 km, providing snowstorm warning 12 hours in advance. During the snowstorm, the horizontal wind speed and vertical speed were obviously enhanced, and the physical quantities related to moisture further increased, and, with the blocking and uplifting of the Tianshan Mountains, the snowstorm increased. The particles collided and grew while falling, resulting in a decrease in particle concentration and an increase in particle radius from high altitude to the ground, eventually resulting in near-ground reflectivity factor up to 30 dBz. In addition, reflectivity factor, physical quantities related to moisture, wind field, particle concentration, and particle radius all had a good correspondence with the beginning, end, and intensity of snowstorm, so when the physical quantities mentioned above weakened and stopped, snowstorm also weakened and stopped. In a word, this research is an important and meaningful work that provides more backgrounds and references for the forecast and warning of snowstorm in northwestern China.
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:000607833600002
WOS关键词	WIND-PROFILING RADAR ; REFLECTIVITY ; RETRIEVALS ; ATMOSPHERE ; TURBULENCE ; MESOSCALE ; ERRORS ; STORM
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348687
作者单位	[Zeng, Yong; Yang, Lianmei; Tong, Zepeng; Zhang, Zuyi] China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China; [Zeng, Yong; Yang, Lianmei; Tong, Zepeng; Zhang, Zuyi] Ctr Cent Asian Atmosphere Sci Res, Urumqi 830002, Peoples R China
推荐引用方式 GB/T 7714	Zeng, Yong,Yang, Lianmei,Tong, Zepeng,et al. Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT)[J],2020,2020.
APA	Zeng, Yong,Yang, Lianmei,Tong, Zepeng,&Zhang, Zuyi.(2020).Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT).ADVANCES IN METEOROLOGY,2020.
MLA	Zeng, Yong,et al."Application of Multiple Detection Data in the Analysis of Snowstorm Processes in Xinjiang during the Central Asia Extreme Precipitation Observation Test (CAEPOT)".ADVANCES IN METEOROLOGY 2020(2020).