Some Overlooked Features of Tropical Atlantic Climate Leading to a New Niño-Like Phenomenon*
Open accessAbstract
Abstract The Atlantic Niño, an equatorial zonal mode akin to the Pacific El Niño–Southern Oscillation (ENSO), is phase-locked to boreal summer when the equatorial easterly winds intensify and the thermocline shoals in the Gulf of Guinea. A suite of satellite and in situ observations reveals a new mode of tropical Atlantic variability that displays many characteristics of the zonal mode but instead peaks in November–December (ND). This new mode is found to be statistically independent from both the Atlantic Niño in the preceding summer and the Pacific ENSO. The origin of this ND zonal mode lies in an overlooked aspect of the seasonal cycle in the equatorial Atlantic. In November the equatorial easterly winds intensify for the second time, increasing upwelling and lifting the thermocline in the Gulf of Guinea. An analysis of high-resolution climatological data shows that these dynamical changes induce a noticeable SST cooling in the central equatorial Atlantic. The shoaling thermocline and increased upwelling enhance the SST sensitivity to surface wind changes, reinvigorating equatorial ocean–atmosphere interaction. The resultant ocean–atmospheric anomalies are organized into patterns that give rise to positive mutual feedback as Bjerknes envisioned for the Pacific ENSO. This ND zonal mode significantly affects interannual rainfall variability in coastal Congo–Angola during its early rainy season. It tends to further evolve into a meridional mode in the following March–April, affecting precipitation in northeast Brazil. Thus it offers potential predictability for climate over the Atlantic sector in early boreal winter, a season for which local ocean–atmosphere variability was otherwise poorly understood.
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In the 20 m surface layer, the model well captures the weakening of the SEC in January-February and September-October.
“In the 20 m surface layer, the model well captures the weakening of the SEC in January-February and September-October (Okumura and Xie, 2006;Ding et al., 2009;Habasque and Herbert, 2018).”
From Physical drivers of the nitrate seasonal variability in the Atlantic cold tongue (2020) · cites this paper as Okumura and Xie, 2006
The Seasonal cycle section describes a substantial semiannual cycle in ocean currents and a second SEC acceleration in November–December, supporting the general point that SEC strength varies seasonally. It does not specify weakening in January–February and September–October. The Data section says the paper analyzes observed surface-current climatology, not whether the citing authors’ model captures currents in a 20 m layer; that model assessment is the citing authors’ own claim. (LLM, conf=0.78)
Experimental — accuracy not yet measuredThe secondary peak in subsurface-surface coupling indicated by the satellite data is consistent with a secondary peak in upwelling in November-December.
“The secondary peak indicated by the satellite data is consistent with a secondary peak in upwelling in November-December [as discussed by Okumura and Xie (2006)].”
From Understanding equatorial atlantic interannual variability (2007) · cites this paper as Okumura and Xie (2006)
A semiannual component is evident in the relation between surface and subsurface in the Atlantic, particularly in satellite data, consistent with a secondary maximum in equatorial variability seen in satellite-derived SST.
“A semiannual component is also evident in the relation, particularly in the satellite data, and is consistent with a secondary maximum in equatorial variability seen in satellite-derived SST (Okumura and Xie 2006).”
From Understanding equatorial atlantic interannual variability (2007) · cites this paper as Okumura and Xie 2006
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Cites
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Keenlyside, N. S., & Latif, M. (2007) · Journal of Climate · doi:10.1175/jcli3992.1 · Cited by 321 · see citing works
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Understanding equatorial atlantic interannual variability
Keenlyside, N. S., & Latif, M. (2007) · Journal of Climate · doi:10.1175/jcli3992.1 · Cited by 321 · see citing works
“A semiannual component is also evident in the relation, particularly in the satellite data, and is consistent with a secondary maximum in equatorial variability seen in satellite-derived SST (Okumura and Xie 2006).”
BackgroundInfluentialOn the origin of equatorial Atlantic biases in coupled general circulation models.
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Physical drivers of the nitrate seasonal variability in the Atlantic cold tongue
Radenac, M.-H., Jouanno, J., Tchamabi, C. C., Awo, M., Bourlès, B., Arnault, S., & Aumont, O. (2020) · Biogeosciences · doi:10.5194/bg-17-529-2020 · Cited by 33 · see citing works
Kolodziejczyk, N., Marin, F., Bourlès, B., Gouriou, Y., & Berger, H. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2107-7 · Cited by 28 · see citing works
- Authors
- Okumura, Y., & Xie, S.-P.
- Affiliations
- University of Hawaiʻi at Mānoa (US)
- ORCID
- Xie, Shang-Ping
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2006-11-15
- Volume
- 19
- Issue
- 22
- Pages
- 5859-5874
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2109258972
- Cited by
- 155
- References
- 3
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 18 · 2023: 8 · 2022: 9 · 2021: 7 · 2020: 22 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 2 · 2015: 3 · 2014: 5 · 2013: 3 · 2012: 10
- FWCI
- 5.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Climate (publishedVersion)
- Funders
- National Aeronautics and Space Administration
- National Oceanic and Atmospheric Administration
- Jet Propulsion Laboratory
- Japan Agency for Marine-Earth Science and Technology
- NOAA Pacific Marine Environmental Laboratory
- 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 › Meteorological Phenomena and Simulations
- Keywords
- Atlantic Niño, thermocline shoaling, sea surface temperature cooling, ocean-atmosphere interaction, interannual rainfall variability, zonal modes, meridional modes
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