Predictability of Major Stratospheric Sudden Warmings: Analysis Results from JMA Operational 1-Month Ensemble Predictions from 2001/02 to 2012/13

Masakazu Taguchi Department of Earth Science, Aichi University of Education, Kariya, Japan

Search for other papers by Masakazu Taguchi in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

This study investigates the predictability of major stratospheric sudden warmings (MSSWs) with a chief question: how far in advance can MSSWs be forecasted? An average picture and case-to-case variations of the MSSW predictability are revealed by analyzing operational 1-month ensemble prediction data of the Japan Meteorological Agency from 2001/02 to 2012/13 in comparison with the Japanese 55-year Reanalysis Project (JRA-55) data. The variations are further related to planetary wave forcing (PWF) from the troposphere to the stratosphere. A contingency table analysis for nine MSSWs occurring in the period shows that the average percentage of ensemble members that successfully forecast the MSSWs is about 70%, 30%, and 20% for lead times of 5, 10, and 15 days, respectively, when a 3-day time difference between actual and forecasted vortex collapses, or zonal wind reversals, is allowed. Using other measures such as the root-mean-square error and anomaly correlation of 10-hPa geopotential height, forecasts of lead times less than about two weeks are judged to be useful. Results also show large case-to-case predictability variations for lead times of about 10 days. The variations for most MSSWs are explained by the degree to which the strength of PWF, or wave activity flux in the lower stratosphere, is forecasted in comparison to the JRA-55 data. Forecasted PWF in the lower stratosphere is largely determined by that in the upper troposphere for several MSSWs, whereas it is also affected by the planetary wave propagation between the two regions for a few others.

Corresponding author address: Masakazu Taguchi, Department of Earth Science, Aichi University of Education, Hirosawa 1, Igaya-cho, Kariya 448-8542, Japan. E-mail: mtaguchi@auecc.aichi-edu.ac.jp

Abstract

This study investigates the predictability of major stratospheric sudden warmings (MSSWs) with a chief question: how far in advance can MSSWs be forecasted? An average picture and case-to-case variations of the MSSW predictability are revealed by analyzing operational 1-month ensemble prediction data of the Japan Meteorological Agency from 2001/02 to 2012/13 in comparison with the Japanese 55-year Reanalysis Project (JRA-55) data. The variations are further related to planetary wave forcing (PWF) from the troposphere to the stratosphere. A contingency table analysis for nine MSSWs occurring in the period shows that the average percentage of ensemble members that successfully forecast the MSSWs is about 70%, 30%, and 20% for lead times of 5, 10, and 15 days, respectively, when a 3-day time difference between actual and forecasted vortex collapses, or zonal wind reversals, is allowed. Using other measures such as the root-mean-square error and anomaly correlation of 10-hPa geopotential height, forecasts of lead times less than about two weeks are judged to be useful. Results also show large case-to-case predictability variations for lead times of about 10 days. The variations for most MSSWs are explained by the degree to which the strength of PWF, or wave activity flux in the lower stratosphere, is forecasted in comparison to the JRA-55 data. Forecasted PWF in the lower stratosphere is largely determined by that in the upper troposphere for several MSSWs, whereas it is also affected by the planetary wave propagation between the two regions for a few others.

Corresponding author address: Masakazu Taguchi, Department of Earth Science, Aichi University of Education, Hirosawa 1, Igaya-cho, Kariya 448-8542, Japan. E-mail: mtaguchi@auecc.aichi-edu.ac.jp
Save
  • Allen, D. R., L. Coy, S. D. Eckermann, J. P. McCormack, G. L. Manney, T. F. Hogan, and Y.-J. Kim, 2006: NOGAPS-ALPHA simulations of the 2002 Southern Hemisphere stratospheric major warming. Mon. Wea. Rev., 134, 498518, doi:10.1175/MWR3086.1.

    • Search Google Scholar
    • Export Citation
  • Baldwin, M. P., and T. J. Dunkerton, 2001: Stratospheric harbingers of anomalous weather regimes. Science, 294, 581584, doi:10.1126/science.1063315.

    • Search Google Scholar
    • Export Citation
  • Charlton, A. J., and L. M. Polvani, 2007: A new look at stratospheric sudden warmings. Part I: Climatology and modeling benchmarks. J. Climate, 20, 449471, doi:10.1175/JCLI3996.1.

    • Search Google Scholar
    • Export Citation
  • Charlton-Perez, A. J., and D. Jackson, 2012: SNAP: The Stratospheric Network for the Assessment of Predictability. SPARC Newsletter, No. 39, SPARC Office, Zurich, Switzerland, 40–42.

  • Harada, Y., A. Goto, H. Hasegawa, N. Fujikawa, H. Naoe, and T. Hirooka, 2010: A major stratospheric sudden warming event in January 2009. J. Atmos. Sci., 67, 20522069, doi:10.1175/2009JAS3320.1.

    • Search Google Scholar
    • Export Citation
  • Ichimaru, T., 2010: Predictability of stratospheric circulations and stratospheric sudden warmings. Ph.D. thesis, Kyushu University, 94 pp.

  • Japan Meteorological Agency, 2013: Outline of the operational numerical weather prediction at the Japan Meteorological Agency: Appendix to WMO technical progress report on the global data-processing and forecasting system (GDPFS) and Numerical Weather Prediction (NWP) Research. Japan Meteorological Agency, 188 pp.

  • Kim, Y.-J., and M. Flatau, 2010: Hindcasting the January 2009 Arctic sudden stratospheric warming and its influence on the Arctic Oscillation with unified parameterization of orographic drag in NOGAPS. Part I: Extended-range stand-alone forecast. Wea. Forecasting, 25, 16281644, doi:10.1175/2010WAF2222421.1.

    • Search Google Scholar
    • Export Citation
  • Kobayashi, S., and Coauthors, 2015: The JRA-55 Reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 548, doi:10.2151/jmsj.2015-001.

    • Search Google Scholar
    • Export Citation
  • Limpasuvan, V., D. W. J. Thompson, and D. L. Hartmann, 2004: The life cycle of the Northern Hemisphere sudden stratospheric warmings. J. Climate, 17, 25842596, doi:10.1175/1520-0442(2004)017<2584:TLCOTN>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Manney, G. L., and Coauthors, 2009: Aura Microwave Limb Sounder observations of dynamics and transport during the record-breaking 2009 Arctic stratospheric major warming. Geophys. Res. Lett., 36, L12815, doi:10.1029/2009GL038586.

    • Search Google Scholar
    • Export Citation
  • Marshall, A. G., and A. A. Scaife, 2010: Improved predictability of stratospheric sudden warming events in an atmospheric general circulation model with enhanced stratospheric resolution. J. Geophys. Res., 115, D16114, doi:10.1029/2009JD012643.

    • Search Google Scholar
    • Export Citation
  • Mukougawa, H., and T. Hirooka, 2004: Predictability of stratospheric sudden warming: A case study for 1998/99 winter. Mon. Wea. Rev., 132, 17641776, doi:10.1175/1520-0493(2004)132<1764:POSSWA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Mukougawa, H., H. Sakai, and T. Hirooka, 2005: High sensitivity to the initial condition for the prediction of stratospheric sudden warming. Geophys. Res. Lett., 32, L17806, doi:10.1029/2005GL022909.

    • Search Google Scholar
    • Export Citation
  • Mukougawa, H., T. Hirooka, and Y. Kuroda, 2009: Influence of stratospheric circulation on the predictability of the tropospheric Northern Annular Mode. Geophys. Res. Lett., 36, L08814, doi:10.1029/2008GL037127.

    • Search Google Scholar
    • Export Citation
  • Noguchi, S., H. Mukougawa, T. Hirooka, M. Taguchi, and S. Yoden, 2014: Month-to-month predictability variations of the winter-time stratospheric polar vortex in an operational one-month ensemble prediction system. J. Meteor. Soc. Japan, 92, 543558, doi:10.2151/jmsj.2014-603.

    • Search Google Scholar
    • Export Citation
  • Plumb, A., 1985: On the three-dimensional propagation of stationary waves. J. Atmos. Sci., 42, 217229, doi:10.1175/1520-0469(1985)042<0217:OTTDPO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Polvani, L. M., and D. W. Waugh, 2004: Upward wave activity flux as a precursor to extreme stratospheric events and subsequent anomalous surface weather regimes. J. Climate, 17, 35483554, doi:10.1175/1520-0442(2004)017<3548:UWAFAA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Sigmond, M., J. F. Scinocca, V. V. Kharin, and T. G. Shepherd, 2013: Enhanced seasonal forecast skill following stratospheric sudden warmings. Nat. Geosci., 6, 98102, doi:10.1038/ngeo1698.

    • Search Google Scholar
    • Export Citation
  • Stan, C., and D. M. Straus, 2009: Stratospheric predictability and sudden stratospheric warming events. J. Geophys. Res., 114, D12103, doi:10.1029/2008JD011277.

    • Search Google Scholar
    • Export Citation
  • Sun, L., W. A. Robinson, and G. Chen, 2012: The predictability of stratospheric warming events: More from the troposphere or the stratosphere? J. Atmos. Sci., 69, 768783, doi:10.1175/JAS-D-11-0144.1.

    • Search Google Scholar
    • Export Citation
  • Taguchi, M., 2014: Predictability of major stratospheric sudden warmings of vortex split: Case study of 2002 southern and 2009 and 1989 northern events. J. Atmos. Sci., 71, 28862904, doi:10.1175/JAS-D-13-078.1.

    • Search Google Scholar
    • Export Citation
  • Taguchi, M., 2016: Connection of predictability of major stratospheric sudden warmings to polar vortex geometry. Atmos. Sci. Lett., doi:10.1002/asl.595, in press.

    • Search Google Scholar
    • Export Citation
  • Tripathi, O. P., and Coauthors, 2015: The predictability of the extratropical stratosphere on monthly time-scales and its impact on the skill of tropospheric forecasts. Quart. J. Roy. Meteor. Soc., 141, 9871003, doi:10.1002/qj.2432.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 257 77 6
PDF Downloads 157 36 5