2022年初湖南南支槽影响下两次区域性暴雪过程成因对比分析

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2023-12-01 DOI:10.1002/asl.1198
Yan Hu, Long Chen, Qingxia Wang, Enrong Zhao, Chengzhi Ye, Huanqian Liu
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摘要

2022年初,中国湖南省出现了4次低温雨雪天气过程。1月28日至29日(简称“0128”过程)和2月6日至7日(简称“0206”过程)分别发生了两次过程,有强降雪和短时强降雪的重叠区。利用多源观测资料和国家环境预报中心(NCEP)再分析资料,分析了环流背景和中尺度特征。此外,利用长沙站双极化雷达产品,讨论了南支槽影响下的强降雪过程的成因。结果表明:两个过程具有雨雪相变快、降雪期集中、夜间降雪量大的特点;“0206”过程的短期降雪量大于“0128”过程。“0206”过程的高纬阻塞高压强于“0128”过程,“0206”过程中低层偏南急流的水汽输送也更强。从中观β尺度到中观α尺度冷云团的有组织发展表明降雪加剧,最大黑体温度梯度与强降雪中心对应较好。这种类似列车效应的传播是造成暴雪过程的重要原因。ZH的垂直变化和双极化参数的亮带可以确定雨雪之间的相变。当ZH和ZDR亮带距地面1 ~ 3 km时,若近地面ZH大于0 dBZ, CC接近1,则相态为雨;CC小于0.95时,相态为雨雪混合相。当ZH亮带底部减小,CC/ZDR亮带消失,近地面CC大于0.99,ZDR小于1 dB时,雨转雪。与“0128”过程相比,“0206”过程降雨期间亮环特征更为明显,从较大的ZH和KDP判断降水强度更大,由于降水引起的冷却效应更显著,相变速度更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A contrastive analysis on the causes of two regional snowstorm processes influenced by the southern branch trough in Hunan in early 2022

In early 2022, there were four low-temperature weather processes with rain and snow in Hunan Province, China. Two processes occurred on January 28–29 (referred to as the “0128” process) and February 6–7 (referred to as the “0206” process), and they have overlapping areas of heavy snowfall and high intensity of short-term snowfall. Multi-source observation data and the National Centers for Environmental Prediction (NCEP) reanalysis data are used to analyze the characteristics of circulation background and mesoscale. In addition, the causes of heavy snowfall processes under the influence of the southern branch trough are discussed based on the dual-polarization radar products at Changsha station. The results show that two processes are characterized by the rapid phase transformation of rain and snow, concentrated snowfall periods, and heavy snowfall at night. The short-term snowfall intensity of the “0206” process is greater than that of the “0128” process. The high-latitude blocking high of the “0206” process is stronger than that of the “0128” process, and the water vapor transport of the southerly jet in low levels in the “0206” process is also stronger. The organized development of cold cloud clusters from the meso-β scale to the meso-α scale indicates that the snowfall intensifies, and the maximum blackbody temperature gradient corresponds well to the center of heavy snowfall. The propagation that is similar to the train effect is an important reason for the heavy snowfall process. The vertical variation of the ZH and the bright band of dual-polarization parameters can determine the phase transformation between rain and snow. When the ZH and ZDR bright bands are 1–3 km away from the ground, the phase state is rain if the ZH near the ground is greater than 0 dBZ and the CC is close to 1; the phase state is the rain-snow mixed phase if the CC is less than 0.95. When the bottom of the ZH bright band decreases, the CC/ZDR bright band disappears, the near-surface CC is greater than 0.99 and the ZDR is less than 1 dB, the rain turns to snow. Compared with the “0128” process, the characteristics of the bright ring during the rainfall period of the “0206” process are more obvious, the precipitation intensity judged from the larger ZH and KDP is larger, and the phase transformation is faster due to more significant cooling effect caused by precipitation.

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来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
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