Predictability of Two Types of El Niño Assessed Using an Extended Seasonal Prediction System by MIROC

DOI PDF 被引用文献5件 参考文献58件
  • Yukiko Imada
    Meteorological Research Institute, Japan Meteorological Agency, Ibaraki, Japan
  • Hiroaki Tatebe
    Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan
  • Masayoshi Ishii
    Meteorological Research Institute, Japan Meteorological Agency, Ibaraki, Japan
  • Yoshimitsu Chikamoto
    International Pacific Research Center, University of Hawai‘i at Mānoa, Honolulu, Hawaii
  • Masato Mori
    Atmosphere and Ocean Research Institute, University of Tokyo, Chiba, Japan
  • Miki Arai
    Atmosphere and Ocean Research Institute, University of Tokyo, Chiba, Japan
  • Masahiro Watanabe
    Atmosphere and Ocean Research Institute, University of Tokyo, Chiba, Japan
  • Masahide Kimoto
    Atmosphere and Ocean Research Institute, University of Tokyo, Chiba, Japan

書誌事項

公開日
2015-10-29
資源種別
journal article
DOI
  • 10.1175/mwr-d-15-0007.1
公開者
American Meteorological Society

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説明

<jats:title>Abstract</jats:title> <jats:p>Predictability of El Niño–Southern Oscillation (ENSO) is examined using ensemble hindcasts made with a seasonal prediction system based on the atmosphere and ocean general circulation model, the Model for Interdisciplinary Research on Climate, version 5 (MIROC5). Particular attention is paid to differences in predictive skill in terms of the prediction error for two prominent types of El Niño: the conventional eastern Pacific (EP) El Niño and the central Pacific (CP) El Niño, the latter having a maximum warming around the date line. Although the system adopts ocean anomaly assimilation for the initialization process, it maintains a significant ability to predict ENSO with a lead time of more than half a year. This is partly due to the fact that the system is little affected by the “spring prediction barrier,” because increases in the error have little dependence on the thermocline variability. Composite analyses of each type of El Niño reveal that, compared to EP El Niños, the ability to predict CP El Niños is limited and has a shorter lead time. This is because CP El Niños have relatively small amplitudes, and thus they are more affected by atmospheric noise; this prevents development of oceanic signals that can be used for prediction.</jats:p>

収録刊行物

  • Monthly Weather Review

    Monthly Weather Review 143 (11), 4597-4617, 2015-10-29

    American Meteorological Society

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