Climatic Characteristics of Heavy Snowfall and the Water Vapor Transport Characteristics in Typical Snowfall Events in Hunan Province of China

IF 2.1 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Yan Hu, Enrong Zhao, Hongwu Liu, Lin Xu, Kexin Tan, Huanqian Liu, Qingxia Wang
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Abstract

Due to the unique topography and geographical location, severe snowfall is the main disastrous weather in winter in the Hunan Province of China. Based on the daily precipitation data in Hunan Province from 1961 to 2021, the regional heavy snowfall processes are classified by using the synoptic diagnostic method. In addition, the water vapor transport characteristics of typical heavy snowfall processes are analyzed by the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) air mass backward trajectory model. Then, the responses of the differences in water vapor transport to heavy snowfall under different weather situations are discussed. The results show that the spatial distribution of climatic mean heavy snowfall days in Hunan Province is extremely uneven, and the heavy snowfall days decrease from north to south, with the most in the Dongting Lake area and the least in the Nanling Mountains. In the past decades, snowstorms mainly occur in local areas, and there are fewer widespread snowstorms. The frequency of heavy snowfall days generally shows a decreasing trend, with three peaks all appearing before 1990. After the 2010s, the number of days and stations of heavy snowfall decreased noticeably, and so did the number of regional heavy snowfall processes. This result indicates that global warming has remarkable effects on the snowstorm events in Hunan Province. Heavy snowfall mainly occurs from December to February, and peaks from mid-January to early February. Over the past 61 years, more than 50% of heavy snowstorm events occurred after 2000. According to the main weather systems affecting regional heavy snowfall processes, these weather processes in Hunan Province can be classified into three categories: southern branch trough (SBT) type, blocking high collapse (BHC) type, and stepped trough type. Among them, the SBT type accounts for more than 60% of the heavy snowfall events in Hunan. In terms of the SBT type and the stepped trough type, the water vapor from the high-latitude inland and low-latitude sea surface accounts for a comparable proportion, each accounting for nearly 50%. For the SBT type, the proportion of the water vapor from warm-humid airflows is slightly higher than that from cold-humid airflows. However, in terms of the stepped trough type, the water vapor transported by cold-humid airflows from the north contributes more than that by warm-humid airflows. For the BHC type, the specific humidity and the water vapor from the high-latitude inland contribute 70% of heavy snowfall processes. In addition, the contribution of the two southwesterly water vapor channels to heavy snowfall processes is small. The water vapor sources differ remarkably for different heavy snowfall types, but all of them are dominated by the water vapor transport in the middle and lower troposphere, which is the main reason why the formation of snowfall areas under different weather types is obviously different.
中国湖南省强降雪的气候特征及典型降雪事件中的水汽输送特征
由于独特的地形和地理位置,强降雪是中国湖南省冬季的主要灾害性天气。根据湖南省 1961 年至 2021 年的日降水量资料,采用同步诊断法对区域性强降雪过程进行了分类。此外,利用混合单粒子拉格朗日综合轨迹(HYSPLIT)气团后向轨迹模式分析了典型强降雪过程的水汽输送特征。然后,讨论了不同天气情况下水汽输送差异对强降雪的响应。结果表明,湖南省气候平均大雪日数的空间分布极不均匀,大雪日数由北向南递减,洞庭湖区最多,南岭山区最少。近几十年来,暴雪主要发生在局部地区,大范围暴雪较少。大雪日数总体呈减少趋势,1990 年以前出现过三次高峰。2010 年代以后,强降雪日数和站点数明显减少,区域性强降雪过程也明显减少。这一结果表明,全球变暖对湖南省的暴雪事件有显著影响。强降雪主要出现在 12 月至次年 2 月,1 月中旬至 2 月上旬为高峰期。在过去 61 年中,50%以上的暴雪事件发生在 2000 年之后。根据影响区域强降雪过程的主要天气系统,湖南省的这些天气过程可分为三类:南支槽型(SBT)、阻塞高塌陷型(BHC)和阶梯槽型。其中,SBT 型占湖南强降雪事件的 60%以上。就 SBT 型和阶梯槽型而言,来自高纬度内陆和低纬度海面的水汽比例相当,各占近 50%。就 SBT 型而言,来自暖湿气流的水汽比例略高于来自冷湿气流的水汽比例。但就阶梯槽类型而言,北方冷湿气流输送的水汽比暖湿气流输送的水汽多。就 BHC 类型而言,比湿度和来自高纬度内陆的水汽在强降雪过程中占 70%。此外,两条西南水汽通道对降雪过程的贡献很小。不同强降雪类型的水汽来源差异显著,但都以对流层中下层的水汽输送为主,这也是不同天气类型下降雪区域形成明显不同的主要原因。
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来源期刊
Advances in Meteorology
Advances in Meteorology 地学天文-气象与大气科学
CiteScore
5.30
自引率
3.40%
发文量
80
审稿时长
>12 weeks
期刊介绍: Advances in Meteorology is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of meteorology and climatology. Topics covered include, but are not limited to, forecasting techniques and applications, meteorological modeling, data analysis, atmospheric chemistry and physics, climate change, satellite meteorology, marine meteorology, and forest meteorology.
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