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Meteorology and Atmospheric Physics

, Volume 126, Issue 3–4, pp 105–117 | Cite as

Rapid development of arctic cyclone in June 2008 simulated by the cloud resolving global model NICAM

  • Takuro AizawaEmail author
  • H. L. Tanaka
  • Masaki Satoh
Original Paper

Abstract

In this study, we conducted a numerical simulation of a rapid development of an arctic cyclone (AC) that appeared in June 2008 using a cloud resolving global model, Nonhydrostatic ICosahedral Atmospheric Model (NICAM). We investigated the three dimensional structure and intensification mechanism of the simulated AC that developed to the minimum sea level pressure of 971 hPa in the model. According to the result, the AC indicates a barotropic structure with a warm core in the lower stratosphere and a cold core in the troposphere. The development of the AC is accompanied by an intense mesoscale cyclone (MC) showing baroclinic structure with a marked local arctic front. The upper level warm core of the AC is formed by an adiabatic heating associated with the downdraft in the lower stratosphere. The rapid development of the AC is caused by the combination of the intensification of the upper level warm core and the merging with the baroclinically growing MC in the lower level. The merging of the AC and MC and the vertical vortex coupling with the upper air polar vortex are the most important mechanisms for the rapid development of the arctic cyclone.

Keywords

Cyclone Arctic Ocean Potential Vorticity Lower Stratosphere Vertical Wind Shear 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This study was partly supported by the GRENE Arctic Climate Change Research Project. Our colleague Mr. Akio Yamagami and Mr. Shinji Takahashi provided this study with thankful information. This research was conducted as a part of the joint works of the general circulation laboratory at the Center for Computational Sciences of the University of Tsukuba.

References

  1. Adachi S, Kimura F (2007) A 36-year climatology of surface cyclogenesis in East Asia using high-resolution reanalysis data. SOLA 3:113–116CrossRefGoogle Scholar
  2. Cavalieri DJ, Parkinson CL, Vinnikov KY (2003) 30-year satellite record reveals contrasting arctic and Ant arctic decadal sea ice variability. Geophys Res Lett 30:1970. doi: 10.1029/2003GL018031 CrossRefGoogle Scholar
  3. Grabowski WW (1998) Toward cloud resolving modeling of large-scale tropical circulations: a simple cloud microphysics parameterization. J Atmos Sci 55:3283–3298CrossRefGoogle Scholar
  4. Inoue J, Hori ME (2011) Arctic cyclogenesis at the marginal ice zone: a contributory mechanism for the temperature amplification? Geophys Res Lett 38:L12502. doi: 10.1029/2011GL047696 Google Scholar
  5. LeDrew EF (1984) The role of local heat sources in synoptic activity in the Arctic Basin. Atmos Ocean 22:309–327CrossRefGoogle Scholar
  6. LeDrew EF (1987) Development processes for five depression systems within the Polar Basin. J Clim Appl Meteorol 8:125–153Google Scholar
  7. LeDrew EF (1989) Mode of synoptic development within the Polar Basin. GeoJournal 18:79–85CrossRefGoogle Scholar
  8. Nakanishi M, Niino H (2004) An improved Mellor-Yamada Level-3 model with condensation physics: its design and verification. Bound Layer Meteorol 112:1–31CrossRefGoogle Scholar
  9. Satoh M, Matsuno T, Tomita H, Miura H, Nasuno T, Iga S (2008) Nonhydrostatic Icosahedral Atmospheric Model (NICAM) for global cloud-resolving simulations. J Comput Phys 227:3486–3514CrossRefGoogle Scholar
  10. Serreze MK, Barrett AP (2007) The summer cyclone maximum over the central arctic ocean. J Clim 21:1048–1065CrossRefGoogle Scholar
  11. Serreze MK, Lynch AM, Clark MP (2001) The arctic frontal zone as seen in NCEP-NCAR reanalysis. J Clim 14:1550–1567CrossRefGoogle Scholar
  12. Simmonds I, Keay K (2009) Extraordinary september arctic sea ice reductions and their relationships with storm behavior over 1979–2008. Geophys Res Lett 36:L19715. doi: 10.1029/2009GL039810 CrossRefGoogle Scholar
  13. Simmonds I, Burke C, Keay K (2008) Arctic climate change as manifest in cyclone behavior. J Clim 21:5777–5796CrossRefGoogle Scholar
  14. Stroeve JC, Serreze MC, Fetterer F, Arbetter T, Meier W, Maslanik J, Knowles K (2005) Tracking the arctic’s shrinking ice cover: another extreme September minimum in 2004. Geophys Res Lett 32:L04501. doi: 10.1029/2004GL021810 CrossRefGoogle Scholar
  15. Stroeve JC, Holland MM, Meier W, Scambos T, Serreze M (2007) Arctic sea ice decline: faster than forecast. Geophys Res Lett 34:L09501. doi: 10.1029/2007GL029703 CrossRefGoogle Scholar
  16. Takahashi S (2009) Dynamics and statistics of cyclones over the Arctic Ocean compared with extra-tropical cyclones. Graduation Thesis in College of Geoscience, University of Tsukuba, JapanGoogle Scholar
  17. Tanaka HL, Yamagami A, Takahashi S (2012) The structure and behavior of the arctic cyclone analyzed by the JRA-25/JCDAS data. Polar Sci 6:55–69CrossRefGoogle Scholar
  18. Zhang X, Walsh JE, Zhang J, Bhatt US, Ikeda M (2004) Climatology and interannual variability of Arctic cyclone activity: 1948–2002. J Clim 17:2300–2317CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  1. 1.Graduate School of Life and Environmental SciencesUniversity of TsukubaTsukubaJapan
  2. 2.Center for Computational SciencesUniversity of TsukubaTsukubaJapan
  3. 3.Atmosphere and Ocean Research InstituteUniversity of TokyoKashiwaJapan

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