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Sub-Seasonal Variability of ENSO Teleconnections in Western North America and Its Prediction Skill

Cited 2 time in Web of Science Cited 2 time in Scopus
Authors

Park, Chang-Hyun; Choi, Jung; Son, Seok-Woo; Kim, Daehyun; Yeh, Sang-Wook; Kug, Jong-Seong

Issue Date
2023-03
Publisher
American Geophysical Union
Citation
Journal of geophysical research - Atmospheres, Vol.128 No.6, p. 037985
Abstract
The El Niño–Southern Oscillation (ENSO) significantly affects the wintertime surface climate in western North America (WNA) via the Pacific/North American-like teleconnection pattern. Here, we show that the ENSO teleconnections over the WNA have significant sub-seasonal variation despite the persistence of ENSO-related tropical sea surface temperature anomalies throughout the entire winter. The ENSO–WNA teleconnections become substantially weakened in mid-winter, considerably weaker than those in early and late winter. This mid-winter weakening of the ENSO–WNA teleconnections is attributable to the convection over the equatorial Indian Ocean. In mid-December of El Niño winters, the anomalously-enhanced convection develops over the equatorial Indian Ocean and excites the teleconnection pattern with a 2-week time lag. This teleconnection largely opposes the Pacific/North American-like teleconnection pattern that is induced by anomalous convection over the equatorial central Pacific. Such sub-seasonal variation of ENSO teleconnections is poorly predicted by multi-model hindcasts, affecting the mid-latitude prediction skill. It particularly results in a poorer prediction skill of WNA surface air temperature in mid-winter than in late winter. This result highlights a need to better simulate the ENSO-related tropical convection and the associated teleconnections in the model to improve the long-lead prediction of the WNA surface climate.
ISSN
2169-897X
URI
https://hdl.handle.net/10371/200934
DOI
https://doi.org/10.1029/2022JD037985
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  • College of Natural Sciences
  • Department of Earth and Environmental Sciences
Research Area Climate Change, Earth & Environmental Data, Severe Weather, 기후과학, 위험기상, 지구환경 데이터과학

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