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Development of Dynamical Seasonal Prediction System for Northern Winter using the Cryospheric Condition of Late Autumn

가을철 빙권 조건을 활용한 겨울철 역학 계절 예측시스템의 개발

  • Received : 2012.12.08
  • Accepted : 2012.12.30
  • Published : 2013.03.31

Abstract

In recent several years, East Asia, Europe and North America have suffered successive cold winters and a number of historical records on the extreme weathers are replaced with new record-breaking cold events. As a possible explanation, several studies suggested that cryospheric conditions of Northern Hemisphere (NH), i.e. Arctic sea-ice and snow cover over northern part of major continents, are changing significantly and now play an active role for modulating midlatitude atmospheric circulation patterns that could bring cold winters for some regions in midlatitude. In this study, a dynamical seasonal prediction system for NH winter is newly developed using the snow depth initialization technique and statistically predicted sea-ice boundary condition. Since the snow depth shows largest variability in October, entire period of October has been utilized as a training period for the land surface initialization and model land surface during the period is continuously forced by the observed daily atmospheric conditions and snow depths. A simple persistent anomaly decaying toward an averaged sea-ice condition has been used for the statistical prediction of sea-ice boundary conditions. The constructed dynamical prediction system has been tested for winter 2012/13 starting at November 1 using 16 different initial conditions and the results are discussed. Implications and a future direction for further development are also described.

Keywords

References

  1. 우성호, 정지훈, 김백민, 김성중, 2012: 겨울철 동아시아 지역 기온의 계절 예측에 눈깊이 초기화가 미치는 영향, 대기, 22(1), 117-128.
  2. Bhatt, U. S., and Coauthors, 2010: Circumpolar Arctic Tundra Vegetation Change Is Linked to Sea Ice Decline. Earth Interact, 14(8), 1-20.
  3. Budikova, D., 2009: Role of Arctic sea ice in global atmospheric circulation: A review. Global Planet. Change, 68, 149-163. https://doi.org/10.1016/j.gloplacha.2009.04.001
  4. Cohen, J. and D. Entekhabi, 1999: Eurasian snow cover variability and Northern Hemisphere climate predictability. Geophys. Res. Lett., 26(3), 345-348. https://doi.org/10.1029/1998GL900321
  5. Cohen, J. and M. Barlow, 2005: The NAO, the AO, and Global Warming: How Closely Related?. J. Climate, 18(21), 4498-4513. https://doi.org/10.1175/JCLI3530.1
  6. Cohen, J., K. Saito, and D. Entekhabi, 2001: The role of the Siberian high in Northern Hemisphere climate variability. Geophys Res Lett, 28(2), 299-302. https://doi.org/10.1029/2000GL011927
  7. Cohen, J., J. Foster, M. Barlow, K. Saito, and J. Jones, 2010: Winter 2009-2010: A case study of an extreme Arctic Oscillation event. Geophys. Res. Lett., 37(17), L17707.
  8. Fletcher, C. G., S. C. Hardiman, P. J. Kushner, and J. Cohen, 2009: The dynamical response to snow cover perturbations in a large ensemble of atmospheric GCM integrations. J. Climate, 22(5), 1208-1222. https://doi.org/10.1175/2008JCLI2505.1
  9. Ghatak, D., A. Frei, G. Gong, J. Stroeve, and D. Robinson, 2010: On the emergence of an Arctic amplification signal in terrestrial Arctic snow extent. J. Geophys. Res., 115(D24).
  10. Hardiman, S. C., P. J. Kushner, and J. Cohen, 2008: Investigating the ability of general circulation models to capture the effects of Eurasian snow cover on winter climate. J. Geophys. Res., 113(D21), D21123. https://doi.org/10.1029/2008JD010623
  11. Honda, M., J. Inoue, and S. Yamane, 2009: Influence of low Arctic sea-ice minima on anomalously cold Eurasian winters. Geophys. Res. Lett., 36(8), L08707. https://doi.org/10.1029/2008GL037079
  12. Jeong, J. -H., T. Ou, H. W. Linderholm, B. M. Kim, S.-J. Kim, J.-S. Kug, and D. Chen, 2011: Recent recovery of the Siberian High intensity. J. Geophys. Res., 116(D23).
  13. Jeong, J. -H. and C. H. Ho, 2005: Changes in occurrence of cold surges over east Asia in association with Arctic Oscillation. Geophys. Res. Lett., 32(14), L14704.
  14. Jeong, J. -H., B. M. Kim, C. H. Ho, D. L. Chen, and G. H. Lim, 2006: Stratospheric origin of cold surge occurrence in East Asia. Geophys. Res. Lett., 33(14), L14710. https://doi.org/10.1029/2006GL026607
  15. Jeong, J. -H., H. W. Linderholm, S.-H. Woo, C. Folland, B. M. Kim, S. J. Kim, D. Chen: Impacts of Snow Initialization on Subseasonal Forecasts of Surface Air Temperature for the Cold Season: http://dx.doi.org/ 10.1175/JCLI-D-12-00159.1
  16. Jun, S. -Y., C. -H. Ho, B. -M. Kim, and J. -H. Jeong: Sensitivity of Arctic warming to sea surface temperature distribution over sea-ice melted region in AGCM experiments. Clim Dynam, submitted.
  17. Kim, B. M., J. H. Jeong, and S. J. Kim, 2009: Investigation of Stratospheric Precursor for the East Asian Cold Surge Using the Potential Vorticity Inversion Technique. Asia-Pacific J. Atmos. Sci., 45(4), 513-522.
  18. Koster, R. D., S. P. P. Mahanama, T. J. Yamada, Gianpaolo Balsamo, A. A. Berg, M. Boisserie, P. A. Dirmeyer, F. J. Doblas-Reyes, G. Drewitt, C. T. Gordon, Z. Guo, J.- H. Jeong, D. M. Lawrence, W.-S. Lee, Z. Li, L. Luo, S. Malyshev, W. J. Merryfield, S. I. Seneviratne, T. Stanelle, B. J. J. M. van den Hurk, F. Vitart, and E. F. Wood, 2010: Contribution of land surface initialization to subseasonal forecast skill: First results from a multi- model experiment. Geophys. Res. Lett., 37, L02402.
  19. Koster, R. D., 2011: The Second Phase of the Global Land- Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill. J. Hydrometeor., 12(5), 805-822. https://doi.org/10.1175/2011JHM1365.1
  20. Liu, J., J. A. Curry, H. Wang, M. Song, and R. M. Horton, 2012: Impact of declining Arctic sea ice on winter snowfall. Pro. Natl. Acad. Sci., 109(11), 4074-4079. https://doi.org/10.1073/pnas.1114910109
  21. Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625. https://doi.org/10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2
  22. Onogi, K., and Coauthors, 2007: The JRA-25 reanalysis. J. Meteor. Soc. Japan, 85(3), 369-432. https://doi.org/10.2151/jmsj.85.369
  23. Screen, J. A. and I. Simmonds, 2010: The central role of diminishing sea ice in recent Arctic temperature amplification. Nature, 464(7293), 1334-1337. https://doi.org/10.1038/nature09051
  24. Vavrus, S. and D. Waliser, 2008: An Improved Parametrization for Simulating Arctic Cloud Amount in the CCSM3 Climate Model. J. Climate, 21(21), 5673-5687. https://doi.org/10.1175/2008JCLI2299.1

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