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Cyclone Activity in the Arctic From an Ensemble of Regional Climate Models (Arctic CORDEX)

Akperov, Mirseid (författare)
A.M. Obukhov Institute of Atmospheric Physics, RAS
Rinke, Annette (författare)
Alfred-Wegener Institute for Polar and Marine Research, Potsdam
Mokhov, Igor I. (författare)
A.M. Obukhov Institute of Atmospheric Physics, RAS,Lomonosov Moscow State University
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Matthes, Heidrun (författare)
Alfred-Wegener Institute for Polar and Marine Research, Potsdam
Semenov, Vladimir A. (författare)
Institute of Geography, Russian Academy of Sciences,A.M. Obukhov Institute of Atmospheric Physics, RAS
Adakudlu, Muralidhar (författare)
Bjerknes Centre for Climate Research
Cassano, John (författare)
University of Colorado
Christensen, Jens H. (författare)
Bjerknes Centre for Climate Research,University of Copenhagen
Dembitskaya, Mariya A. (författare)
A.M. Obukhov Institute of Atmospheric Physics, RAS
Dethloff, Klaus (författare)
Alfred-Wegener Institute for Polar and Marine Research, Potsdam
Fettweis, Xavier (författare)
University of Liège
Glisan, Justin (författare)
Iowa State University
Gutjahr, Oliver (författare)
Max Planck Institute for Meteorology
Heinemann, Günther (författare)
University of Trier
Koenigk, Torben (författare)
Stockholms universitet,Stockholm University,Swedish Meteorological and Hydrological Institute, Sweden,Meteorologiska institutionen (MISU)
Koldunov, Nikolay V. (författare)
University of Bremen,Alfred-Wegener Institute for Polar and Marine Research, Potsdam
Laprise, René (författare)
University Of Quebec In Montreal
Mottram, Ruth (författare)
Danish Meteorological Institute
Nikiéma, Oumarou (författare)
University Of Quebec In Montreal
Scinocca, John F. (författare)
Environment Canada
Sein, Dmitry (författare)
Shirshov Institute of Oceanology, RAS,Alfred-Wegener Institute for Polar and Marine Research, Potsdam
Sobolowski, Stefan (författare)
Bjerknes Centre for Climate Research
Winger, Katja (författare)
University Of Quebec In Montreal
Zhang, Wenxin (författare)
Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,University of Copenhagen
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AM. Obukhov Institute of Atmospheric Physics, RAS Alfred-Wegener Institute for Polar and Marine Research, Potsdam (creator_code:org_t)
2018
2018
Engelska.
Ingår i: Journal of Geophysical Research: Atmospheres. - 2169-8996 .- 2169-897X. ; 123:5, s. 2537-2554
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The ability of state-of-the-art regional climate models to simulate cyclone activity in the Arctic is assessed based on an ensemble of 13 simulations from 11 models from the Arctic-CORDEX initiative. Some models employ large-scale spectral nudging techniques. Cyclone characteristics simulated by the ensemble are compared with the results forced by four reanalyses (ERA-Interim, National Centers for Environmental Prediction-Climate Forecast System Reanalysis, National Aeronautics and Space Administration-Modern-Era Retrospective analysis for Research and Applications Version 2, and Japan Meteorological Agency-Japanese 55-year reanalysis) in winter and summer for 1981-2010 period. In addition, we compare cyclone statistics between ERA-Interim and the Arctic System Reanalysis reanalyses for 2000-2010. Biases in cyclone frequency, intensity, and size over the Arctic are also quantified. Variations in cyclone frequency across the models are partly attributed to the differences in cyclone frequency over land. The variations across the models are largest for small and shallow cyclones for both seasons. A connection between biases in the zonal wind at 200 hPa and cyclone characteristics is found for both seasons. Most models underestimate zonal wind speed in both seasons, which likely leads to underestimation of cyclone mean depth and deep cyclone frequency in the Arctic. In general, the regional climate models are able to represent the spatial distribution of cyclone characteristics in the Arctic but models that employ large-scale spectral nudging show a better agreement with ERA-Interim reanalysis than the rest of the models. Trends also exhibit the benefits of nudging. Models with spectral nudging are able to reproduce the cyclone trends, whereas most of the nonnudged models fail to do so. However, the cyclone characteristics and trends are sensitive to the choice of nudged variables.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

Nyckelord

Arctic
CORDEX
Cyclones
RCM
Reanalyses
Spectral nudging

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

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