AUTOMATIC IDENTIFICATION OF THE NOVAYA ZEMLYA BORA WIND

  • V. S. Koshkina Shirshov Institute of Oceanology, Russian Academy of Sciences; Moscow Institute of Physics and Technology National Research University)
  • A. V. Gavrikov Shirshov Institute of Oceanology, Russian Academy of Sciences
  • N. D. Tilinina Shirshov Institute of Oceanology, Russian Academy of Sciences
DOI 10.29006/1564-2291.JOR-2024.52(4).5
Keywords Novaya Zemlya bora wind, downslope windstorm, mesoscale processes, automatic anomaly identification, climatology, Arctic, numerical modeling, WRF

Abstract

The paper examines a type of downslope windstorm – the Novaya Zemlya bora. This is a insufficiently studied mesoscale phenomenon characterized by the presence of high wind speeds on the western slope of the archipelago, threatening the safety of port buildings and maritime navigation. The paper proposes an approach for automatic identification of bora, which will allow to make a climatic picture of this phenomenon and to identify its characteristic features. The developed approach was applied to long-term (2015–2023) high-resolution numerical simulation data obtained using the WRF atmospheric model, and to lower-resolution data – atmospheric reanalysis ERA5. Over a 9-year period, about 220 bora events were analyzed, and this was done not only for the entire archipelago (which is typical for most studies), but also for individual regions of Novaya Zemlya. It was shown that the qualitative climatic characteristics of bora do not depend on spatial resolution, which potentially allows us to apply the developed method to identify the bora on longer time periods, for example, the entire period covered by the ERA5 reanalysis data. However, on a quantitative level, high resolution showed a greater intensity and duration of the phenomenon, as expected.

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Published
2024-12-29
Issue
Vol 52 No 4 (2024): Journal of Oceanological Research
Section
Ocean physics and climate

Transfer of copyrights occurs on the basis of a license agreement between the Author and Shirshov Institute of Oceanology, RAS

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