• DOI:10.1007/S00382-007-0234-0
• Corpus ID: 53352373

Impacts of recent El Niño Modoki on dry/wet conditions in the Pacific rim during boreal summer

@article{Weng2007ImpactsOR,
  title={Impacts of recent El Ni{\~n}o Modoki on dry/wet conditions in the Pacific rim during boreal summer},
  author={Hengyi Weng and Karumuri Ashok and Swadhin K. Behera and Suryachandra A. Rao and Toshio Yamagata},
  journal={Climate Dynamics},
  year={2007},
  volume={29},
  pages={113-129}
}

• H. Weng, K. Ashok, +2 authors T. Yamagata
• Published 6 March 2007
• Environmental Science
• Climate Dynamics

Present work uses 1979–2005 monthly observational data to study the impacts of El Niño Modoki on dry/wet conditions in the Pacific rim during boreal summer. The El Niño Modoki phenomenon is characterized by the anomalously warm central equatorial Pacific flanked by anomalously cool regions in both west and east. Such zonal SST gradients result in anomalous two-cell Walker Circulation over the tropical Pacific, with a wet region in the central Pacific. There are two mid-tropospheric wave trains passing over the extratropical and subtropical North Pacific. They contain a positive phase of a Pacific-Japan pattern in the northwestern Pacific, and a positive phase of a summertime Pacific-North American pattern in the northeastern Pacific/North America region. The western North Pacific summer monsoon is enhanced, while the East Asian summer monsoon is weakened. In the South Pacific, there is a basin-wide low in the mid-latitude with enhanced Australian high and the eastern South Pacific subtropical high. Such an atmospheric circulation pattern favors a dry rim surrounding the wet central tropical Pacific. The El Niño Modoki and its climate impacts are very different from those of El Niño. Possible geographical regions for dry/wet conditions influenced by El Niño Modoki and El Niño are compared. The two phenomena also have very different temporal features. El Niño Modoki has a large decadal background while El Niño is predominated by interannual variability. Mixing-up the two different phenomena may increase the difficulty in understanding their mechanisms, climate impacts, and uncertainty in their predictions.