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Distinct impacts of major El Niño events on Arctic temperatures due to differences in eastern tropical Pacific sea surface temperatures.
Jeong, Hyein; Park, Hyo-Seok; Stuecker, Malte F; Yeh, Sang-Wook.
Affiliation
  • Jeong H; Institute of Ocean and Atmosphere Science (IOAS), Hanyang University, Ansan 15588, South Korea.
  • Park HS; Institute of Ocean and Atmosphere Science (IOAS), Hanyang University, Ansan 15588, South Korea.
  • Stuecker MF; Department of Marine Science and Convergence Engineering, Hanyang University, Ansan 15588, South Korea.
  • Yeh SW; Department of Oceanography and International Pacific Research Center, School of Ocean and Earth Science and Technology, University of Hawai'i at Manoa, Honolulu, HI 96822, USA.
Sci Adv ; 8(4): eabl8278, 2022 Jan 28.
Article in En | MEDLINE | ID: mdl-35080975
ABSTRACT
The El Niño Southern Oscillation (ENSO) is a climate mode in the tropical Pacific. The ENSO teleconnections are known to affect Arctic temperature; however, the robustness of this relationship remains debated. We find that Arctic surface temperatures during three major El Niño events are remarkably well simulated by a state-of-the-art model when nudged to the observed pantropical sea surface temperatures (SSTs). SST perturbation experiments show that the 1982-1983 warm pan-Arctic and the 1997-1998 cold pan-Arctic during winter can be explained by far eastern equatorial Pacific SSTs being higher during 1997-1998 than 1982-1983. Consistently, during the 2017-2018 La Niña, unusually low SSTs in the same region contributed to pan-Arctic warming. These pan-Arctic responses to the SSTs are realized through latent heating anomalies over the western and eastern tropical Pacific. These results highlight the importance of accurately representing SST amplitude and pattern for Arctic climate predictions.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Adv Year: 2022 Document type: Article Affiliation country: South Korea

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Adv Year: 2022 Document type: Article Affiliation country: South Korea