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Impact of Atlantic water inflow on winter cyclone activity in the Barents Sea

Insights from coupled regional climate model simulations

Bibliographic Data

ID15547243
AuthorsMirseid Akperov (0000-0001-5802-6850, A.M. Obukhov Institute of Atmospheric Physics, corresponding author), В А Семенов (0000-0001-7632-7921, Institute of Geography), И И Мохов (0000-0003-0033-8581, Lomonosov Moscow State University), Wolfgang Dorn (0000-0002-2071-9472, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung), Annette Rinke (0000-0002-6685-9219, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung)
Year2019
Volume15
Issue2
Pages024009-024009
Publication date2019-12-18
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab6399
OpenAlexW2996611383
LanguageEN
Citations received3
References cited65

The impact of the Atlantic water inflow (AW inflow) into the Barents Sea on the regional cyclone activity in winter is analyzed in 10 ensemble simulations with the coupled Arctic atmosphere-ocean-sea ice model HIRHAM-NAOSIM for the 1979–2016 period. The model shows a statistically robust connection between AW inflow and climate variability in the Barents Sea. The analysis reveals that anomalously high AW inflow leads to changes in static stability and wind shear in the lower troposphere, and thus favorable conditions for cyclogenesis in the Barents/Kara Seas. The frequency of occurrence of cyclones, but particularly of intense cyclones, is increased over the Barents Sea. Furthermore, the cyclones in the Barents Sea become larger (increased radius) and stronger (increased intensity) in response to an increased AW inflow into the Barents Sea, compared to years of anomalously low AW inflow

Arctic · Atmospheric sciences · Climate change · Climate model · Climatology · Cyclogenesis · Cyclone (programming language · Inflow · Sea ice · Arctic and Antarctic ice dynamics · Climate variability and models · Environmental Science · Oceanographic and Atmospheric Processes · Geology · Oceanography

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Citations per year0.6
Citation span2021 - 2023 (3)
Highly citedNo

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