Seasonal phase change of the North Atlantic Tripole Sea surface temperature predicted by air-sea coupling

The North Atlantic Tripole sea surface temperature anomaly (NAT SSTA) is critical for predicting climate in Eurasia. Predictions for summer climate anomalies currently assume the NAT SSTA phase persists from boreal winter through summer. When NAT phase switches, predictions become unreliable. However, the NAT phase sustained/reversal mechanism from boreal winter to spring remains unclear. This study demonstrates that the evolution of the NAT phase could be driven by the North Atlantic Oscillation (NAO). When NAO phase persists (switches) during preceding boreal winter, the NAO-driven wind anomalies favor maintenance (transition) of NAT phase by causing sea surface heat flux anomalies. Meanwhile, NAT SSTA causes eddy-mean flow interaction by increasing atmospheric baroclinity, thereby generating positive feedback on the former NAO phase. The NAO phase change is leading 1–3 months for the NAT phase. These findings deepen our understanding of the interaction between NAO and NAT and provide implications for seasonal prediction in Eurasia.

Authors

Institutions

Publication Details

Journal
npj Climate and Atmospheric Science
Published
2024-12-24
DOI
https://doi.org/10.1038/s41612-024-00882-0
Citations
8
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal phase change of the North Atlantic Tripole Sea surface temperature predicted by air-sea coupling

Haipeng Yu, Xin Wang, Shanling Cheng, Jianping Huang et al.
8 citations
npj Climate and Atmospheric Science
Climate variability and models
2.26
article

Seasonal phase change of the North Atlantic Tripole Sea surface temperature predicted by air-sea coupling

Haipeng Yu, Xin Wang, Shanling Cheng, Jianping Huang, Haojie Wu, Zeyong Hu
article en
8 citations

Abstract

The North Atlantic Tripole sea surface temperature anomaly (NAT SSTA) is critical for predicting climate in Eurasia. Predictions for summer climate anomalies currently assume the NAT SSTA phase persists from boreal winter through summer. When NAT phase switches, predictions become unreliable. However, the NAT phase sustained/reversal mechanism from boreal winter to spring remains unclear. This study demonstrates that the evolution of the NAT phase could be driven by the North Atlantic Oscillation (NAO). When NAO phase persists (switches) during preceding boreal winter, the NAO-driven wind anomalies favor maintenance (transition) of NAT phase by causing sea surface heat flux anomalies. Meanwhile, NAT SSTA causes eddy-mean flow interaction by increasing atmospheric baroclinity, thereby generating positive feedback on the former NAO phase. The NAO phase change is leading 1–3 months for the NAT phase. These findings deepen our understanding of the interaction between NAO and NAT and provide implications for seasonal prediction in Eurasia.

npj Climate and Atmospheric ScienceVol. 7(1)
Chinese Academy of Sciences (CN), Northwest Institute of Eco-Environment and Resources (CN), University of Chinese Academy of Sciences (CN), Lanzhou University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, West Light Foundation of the Chinese Academy of Sciences, Youth Innovation Promotion Association
Life below water
Openalex Percentile: Top 12%
Climate variability and models
2.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Seasonal phase change of the North Atlantic Tripole Sea surface temperature predicted by air-sea coupling — Haipeng Yu, Xin Wang, et al. · npj Climate and Atmospheric Science (2024) | TGRS Research Map | TGRS