Winter-to-Winter Recurrence of Sea Surface Temperature Anomalies in the Northern Hemisphere
Open accessAbstract
The spatiotemporal characteristics of the winter-to-winter recurrence (WWR) of sea surface temperature anomalies (SSTA) in the Northern Hemisphere (NH) are comprehensively studied through lag correlation analysis. On this basis the relationships between the SSTA WWR and the WWR of the atmospheric circulation anomalies, El Niño–Southern Oscillation (ENSO), and SSTA interdecadal variability are also investigated. Results show that the SSTA WWR occurs over most parts of the North Pacific and Atlantic Oceans, but the spatiotemporal distributions of the SSTA WWR are distinctly different in these two oceans. Analyses indicate that the spatiotemporal distribution of the SSTA WWR in the North Atlantic Ocean is consistent with the spatial distribution of the seasonal cycle of its mixed layer depth (MLD), whereas that in the North Pacific Ocean, particularly the recurrence timing, cannot be fully explained by the change in the MLD between winter and summer in some regions. In addition, the atmospheric circulation anomalies also exhibit the WWR at the mid–high latitude of the NH, which is mainly located in eastern Asia, the central North Pacific, and the North Atlantic. The sea level pressure anomalies (SLPA) in the central North Pacific are essential for the occurrence of the SSTA WWR in this region. Moreover, the strongest positive correlation occurs when the SLPA lead SSTA in the central North Pacific by 1 month, which suggests that the atmospheric forcing on the ocean may play a dominant role in this region. Therefore, the “reemergence mechanism” is not the only process influencing the SSTA WWR, and the WWR of the atmospheric circulation anomalies may be one of the causes of the SSTA WWR in the central North Pacific. Finally, the occurrence of the SSTA WWR in the NH is closely related to SSTA interdecadal variability in the NH, but it is linearly independent of ENSO.
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The strongest re-emergence signals are in the NW Pacific, NW Atlantic and Southern Ocean.
“Regional studies have demonstrated the independence of the re-emergence signal from ENSO variability15 with the strongest re-emergence signals in the NW Pacific, NW Atlantic and Southern Ocean16–18.”
From Tendencies, variability and persistence of sea surface temperature anomalies (2020) · cites this paper as [15]
The Spatiotemporal distribution of the SSTA WWR section (page unavailable) reports recurrence across much of the North Pacific and North Atlantic, including the northwestern Pacific. It does not identify these as the strongest re-emergence signals or assess the Southern Ocean; the study is limited to the Northern Hemisphere. (LLM, conf=0.86)
Experimental — accuracy not yet measuredWinter-to-winter re-emergence is typically characterised by a time lag that can be variable, ranging from 7-13 months, and is usually seen in the mid-latitudes.
“This is typically characterised as winter-to-winter re-emergence although the time lag can be variable, ranging from 7–13 months15, and is usually seen in the mid-latitudes12,15–19.”
From Tendencies, variability and persistence of sea surface temperature anomalies (2020) · cites this paper as [15]
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Cites
Temporal coherence in North Pacific sea-surface temperature patterns
Namias, J., & Born, R. M. (1970) · Journal of Geophysical Research · doi:10.1029/jc075i030p05952 · Cited by 161 · see citing works
Remote reemergence areas of winter sea surface temperature anomalies in the North Pacific
Sugimoto, S., & Hanawa, K. (2005) · Geophysical Research Letters · doi:10.1029/2004gl021410 · Cited by 71 · see citing works
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Research works printed but not linked: 5
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Tendencies, variability and persistence of sea surface temperature anomalies
Bulgin, C. E., Merchant, C. J., & Ferreira, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-64785-9 · Cited by 150 · see citing works
Zhao, X., & Li, J. (2012) · Journal of Geophysical Research: Oceans · doi:10.1029/2011jc007845 · Cited by 14 · see citing works
Self-citation
- Authors
- Zhao, X., & Li, J.
- Affiliations
- Chinese Academy of Sciences (CN)
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2010-07-15
- Volume
- 23
- Issue
- 14
- Pages
- 3835-3854
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2150552074
- Cited by
- 25
- References
- 2
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 1 · 2014: 1 · 2013: 1 · 2012: 4
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Climate (publishedVersion)
- Lanzhou University Institutional Repository (submittedVersion, cc-by-nc)
- Funders
- National Natural Science Foundation of China (40675046, 40821092)
- National Key Research and Development Program of China
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Geology and Paleoclimatology Research
- Keywords
- sea surface temperature anomalies, Northern Hemisphere, North Pacific, North Atlantic, mixed layer depth, sea level pressure anomalies, atmospheric circulation anomalies, interdecadal variability, ENSO
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