Air-mass trajectories and extreme episodes: Snowfalls on the natural region of the south-east coast of the Iberian Peninsula (1900–2005)

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Emilio Martínez-Ibarra , Francisco Javier Bello-Millán , Juan Garrido-Clavero
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引用次数: 0

Abstract

This paper analyses and characterizes snowfall events in one of the hottest, most arid areas in continental Europe. Our information was taken from a snowfall database that was partly our own, covering a period of over 100 years. The FLEXTRA model of air-mass back-trajectories was applied together with our own subjective synoptic classification. Data from the ECMWF Reanalysis of the 20th Century (ERA20C) were used for the calculation and clustering of the back-trajectories and the establishment of synoptic weather types. The snowfall events were classified into 8 synoptic types and 4 first-level and 8 s-level back-trajectories. The meteorological scenario for these extreme events was marked by mixed structures at altitude with a main NE/SW axis and dipoles on the surface dominated by powerful North Atlantic anti-cyclones and back-trajectories from the NE at the three levels analysed (500, 1500 and 5000 m.a.s.l.).
气团轨迹和极端事件:伊比利亚半岛东南海岸自然区域的降雪(1900-2005)
本文分析了欧洲大陆最炎热、最干旱地区之一的降雪事件。我们的信息部分来自我们自己的降雪数据库,覆盖了100多年的时间。FLEXTRA模式的气团反轨迹与我们自己的主观天气分类一起应用。利用ECMWF 20世纪再分析(ERA20C)资料进行了反轨迹的计算和聚类,并建立了天气类型。将降雪事件划分为8个天气类型、4个一级和8个s级反轨迹。这些极端事件的气象情景的特点是,高度上的混合结构以主要的东北/西南轴为主,地面上的偶极子以北大西洋强大的反气旋和东北的反轨迹为主,在分析的三个水平上(500、1500和5000 m.a.s.l)。
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
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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