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DOI10.5194/wcd-5-133-2024
Process-based classification of Mediterranean cyclones using potential vorticity
Givon, Yonatan; Hess, Or; Flaounas, Emmanouil; Catto, Jennifer Louise; Sprenger, Michael; Raveh-Rubin, Shira
发表日期2024
EISSN2698-4016
起始页码5
结束页码1
卷号5期号:1
英文摘要Mediterranean cyclones (MCs) govern extreme weather events across the Euro-African Basin, affecting the lives of hundreds of millions. Despite many studies addressing MCs in the last few decades, their correct simulation and prediction remain a significant challenge to the present day, which may be attributed to the large variability among MCs. Past classifications of MCs are primarily based on geographical and/or seasonal separations; however, here we focus on cyclone genesis and deepening mechanisms. A variety of processes combine to govern MC genesis and evolution, including adiabatic and diabatic processes, topographic influences, land-sea contrasts, and local temperature anomalies. As each process bears a distinct signature on the potential vorticity (PV) field, a PV approach is used to distinguish among different types of MCs. Here, a combined cyclone-tracking algorithm is used to detect 3190 Mediterranean cyclone tracks in ECMWF ERA5 from 1979-2020. Cyclone-centered, upper-level isentropic PV structures in the peak time of each cyclone track are classified using a self-organizing map (SOM). The SOM analysis reveals nine classes of Mediterranean cyclones, with distinct Rossby-wave-breaking patterns, discernible in corresponding PV structures. Although classified by upper-level PV structures, each class shows different contributions of lower-tropospheric PV and flow structures down to the surface. Unique cyclone life cycle characteristics, associated hazards (precipitation, winds, and temperature anomalies), and long-term trends, as well as synoptic, thermal, dynamical, seasonal, and geographical features of each cyclone class, indicate dominant processes in their evolution. Among others, the classification reveals the importance of topographically induced Rossby wave breaking to the generation of the most extreme Mediterranean cyclones. These results enhance our understanding of MC predictability by linking the large-scale Rossby wave formations and life cycles to coherent classes of under-predicted cyclone aspects.
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:001189313200001
来源期刊WEATHER AND CLIMATE DYNAMICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/302737
作者单位Weizmann Institute of Science; Hellenic Centre for Marine Research; University of Exeter; Swiss Federal Institutes of Technology Domain; ETH Zurich
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GB/T 7714
Givon, Yonatan,Hess, Or,Flaounas, Emmanouil,et al. Process-based classification of Mediterranean cyclones using potential vorticity[J],2024,5(1).
APA Givon, Yonatan,Hess, Or,Flaounas, Emmanouil,Catto, Jennifer Louise,Sprenger, Michael,&Raveh-Rubin, Shira.(2024).Process-based classification of Mediterranean cyclones using potential vorticity.WEATHER AND CLIMATE DYNAMICS,5(1).
MLA Givon, Yonatan,et al."Process-based classification of Mediterranean cyclones using potential vorticity".WEATHER AND CLIMATE DYNAMICS 5.1(2024).
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