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The composite development and structure of intense synoptic-scale Arctic cyclones

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Vessey, A. F., Hodges, K. I. orcid id iconORCID: https://orcid.org/0000-0003-0894-229X, Shaffrey, L. C. orcid id iconORCID: https://orcid.org/0000-0003-2696-752X and Day, J. J. (2022) The composite development and structure of intense synoptic-scale Arctic cyclones. Weather and Climate Dynamics, 3 (3). pp. 1097-1112. ISSN 2698-4024 doi: 10.5194/wcd-3-1097-2022

Abstract/Summary

Understanding the location and intensity of hazardous weather across the Arctic is important for assessing risks to infrastructure, shipping, and coastal communities. Key hazards driving these risks are extreme near-surface winds, high ocean waves and heavy precipitation, which are dependent on the structure and development of intense synoptic-scale cyclones. This study aims to describe the typical lifetime, structure, and development of a large sample of past intense winter (DJF) and summer (JJA) synoptic-scale Arctic cyclones, using a storm compositing methodology applied to the ERA5 reanalysis. Results show that the composite development and structure of intense Arctic summer cyclones is different to that of intense winter Arctic and North Atlantic Ocean extra-tropical cyclones, and to that described in conceptual models of extra-tropical and Arctic cyclones. The composite structure of intense Arctic summer cyclones shows that they typically undergo a structural transition around the time of maximum intensity from having a baroclinic structure to an axi-symmetric cold-core structure throughout the troposphere, with a low-lying tropopause and large positive temperature anomaly in the lower stratosphere. Arctic summer cyclones are also found to have longer lifetimes than these other cyclones, potentially causing prolonged hazardous and disruptive weather conditions in the Arctic.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/106979
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher EGU
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