Ensemble-based analysis of heavy rainfall–snowfall associated with mesoscale precipitation bands within an extratropical cyclone over northeastern China

IF 1.9 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Yu Zhao , Yunfei Bai , Ziyi Huang , Chengfang Yang
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Abstract

This paper investigates the key synoptic-scale factors that affected the forecasting of mesoscale rainfall and snowfall and their associated uncertainties in a heavy rain–snow event in northeastern China on 18–20 November 2020, using ensemble-based sensitivity analysis based on global ensemble forecasts from the European Centre for Medium-Range Weather Forecasts. The heavy precipitation event was attributed to an extratropical cyclone and experienced two stages, with the snowfall stage having a better precipitation forecast skill than the rainfall stage. The mesoscale rainfall and snowfall were caused by a mesoscale rainband over Liaoning Province and two mesoscale snowbands over Heilongjiang Province, respectively, and they showed some differences with respect to their forecast skill and related key synoptic-scale factors contributing to the precipitation centers. The precipitation amount in the two different stages was correlated significantly with the midlevel trough and sensitive to the location and intensity of the low-level vortex (surface cyclone), and particularly the low-level jets and the associated water vapor transport. However, some differences were confirmed in the two different stages: the weaker midlevel trough and accompanying weaker low-level temperature trough in the rainfall stage were related to increased precipitation because the midlevel trough was far away from the control area, while the stronger midlevel trough and accompanying stronger low-level temperature trough were associated with increased precipitation in the snowfall stage. In addition to the synoptic-scale low-level jet (SLLJ), the precipitation in the rainfall stage was also affected by a boundary layer jet (BLJ) over the ocean, while only SLLJs were present in the snowfall stage. The uncertainty of the precipitation forecast was derived mainly from the uncertainty in the strength and location of the SLLJs and BLJ. Notably, the intensity of northeasterly winds west of the low-level vortex may affect the predictability of heavy snowfall.

中国东北一次温带气旋中尺度降水带的暴雨降雪综合分析
本文利用欧洲中期天气预报中心全球集合预报的敏感性分析,研究了影响2020年11月18日至20日中国东北地区暴雨降雪天气预报的关键天气尺度因子及其相关不确定性。此次强降水事件由一个温带气旋引起,经历了两个阶段,其中降雪阶段的降水预报能力强于降雨阶段。中尺度降水和降雪分别由辽宁上空的一个中尺度雨带和黑龙江上空的两个中尺度雪带引起,它们在预报能力和影响降水中心的相关关键天气尺度因子方面表现出一定的差异。两个阶段的降水量与中低空槽显著相关,对低层涡(地面气旋)的位置和强度,特别是低层急流及其相关的水汽输送敏感。但在两个不同阶段也存在一定的差异,降雨阶段较弱的中层槽和伴随较弱的低层温度槽与降水增加有关,因为中层槽离控制区较远,而较强的中层槽和伴随较强的低层温度槽与降雪阶段降水增加有关。除了天气尺度低空急流(SLLJ)外,降雨阶段的降水还受到海洋上空边界层急流(BLJ)的影响,而降雪阶段则只有SLLJ存在。降水预报的不确定性主要来源于低低压和BLJ强度和位置的不确定性。值得注意的是,低空低涡以西的东北风强度可能会影响暴雪的可预测性。
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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来源期刊
Dynamics of Atmospheres and Oceans
Dynamics of Atmospheres and Oceans 地学-地球化学与地球物理
CiteScore
3.10
自引率
5.90%
发文量
43
审稿时长
>12 weeks
期刊介绍: Dynamics of Atmospheres and Oceans is an international journal for research related to the dynamical and physical processes governing atmospheres, oceans and climate. Authors are invited to submit articles, short contributions or scholarly reviews in the following areas: •Dynamic meteorology •Physical oceanography •Geophysical fluid dynamics •Climate variability and climate change •Atmosphere-ocean-biosphere-cryosphere interactions •Prediction and predictability •Scale interactions Papers of theoretical, computational, experimental and observational investigations are invited, particularly those that explore the fundamental nature - or bring together the interdisciplinary and multidisciplinary aspects - of dynamical and physical processes at all scales. Papers that explore air-sea interactions and the coupling between atmospheres, oceans, and other components of the climate system are particularly welcome.
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