Possible root causes of surface westerly biases over the equatorial Atlantic in global climate models.
Open accessAbstract
Most global climate models (GCMs) suffer from biases of a reversed zonal gradient in sea surface temperature (SST) and weak surface easterlies (the westerly bias) in the equatorial Atlantic during boreal spring. These biases exist in atmospheric GCMs (AGCMs) and are amplified by air–sea interactions in atmospheric–oceanic GCMs. This problem has persisted despite considerable model improvements in other aspects. This study proposes a hypothesis that there are two possible root causes for the westerly bias. The first is insufficient lower-tropospheric diabatic heating over Amazonia. The second is erroneously weak zonal momentum flux (entrainment) across the top of the boundary layer. This hypothesis is based on a scale analysis of a simple model for a well-mixed equatorial boundary layer and diagnoses of simulations from eight AGCMs. Severe westerly biases in AGCMs tend to occur when the diabatic heating at low levels (850–700 hPa) over Amazonia is too weak. Deficient low-level diabatic heating weakens the zonal gradient in sea level pressure along the Atlantic equator, introducing westerly biases. In addition, westerly biases may also occur when easterly momentum flux due to entrainment is underestimated.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The equatorial westerly wind bias may be linked to the erroneous southward shift in the Atlantic ITCZ, also present in atmosphere-only simulations, and to misrepresentation of convective momentum transport in the lower troposphere.
“It may be linked to the erroneous southward shift in the Atlantic ITCZ, which is also present in atmosphere-only simulations (Figure 9B; Richter et al., 2014b), and the misrepresentation of convective momentum transport in the lower troposphere (Zermeño-Diaz and Zhang, 2013;Richter et al., 2014b).”
From The tropical atlantic observing system (2019) · cites this paper as Zermeño-Diaz and Zhang, 2013
Section 5 (Momentum entrainment; page not available) links the westerly bias to insufficient downward transport of easterly momentum from the lower troposphere into the boundary layer. It does not identify that transport specifically as convective momentum transport. The ITCZ-shift clause is separately cited to Richter et al. (2014b), so it is not assessed against this source. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
On the origin of equatorial Atlantic biases in coupled general circulation models.
Richter, I., & Xie, S.-P. (2008) · Climate Dynamics · doi:10.1007/s00382-008-0364-z · Cited by 294 · see citing works
Chiang, J. C. H., Kushnir, Y., & Giannini, A. (2002) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd000307 · Cited by 264 · see citing works
Tropical Atlantic biases and their relation to surface wind stress and terrestrial precipitation.
Richter, I., Xie, S.-P., Wittenberg, A. T., & Masumoto, Y. (2012) · Climate Dynamics · doi:10.1007/s00382-011-1038-9 · Cited by 146 · see citing works
Evolution of model systematic errors in the tropical Atlantic basin from coupled climate hindcasts.
Huang, B., Hu, Z.-Z., & Jha, B. (2007) · Climate Dynamics · doi:10.1007/s00382-006-0223-8 · Cited by 95 · see citing works
Flagged first, then by citations
Research works printed but not linked: 10
- Betts, A. K., and C. Jakob, 2002: Study of diurnal cycle of con- vective precipitation over Amazonia using a single column model. J. Geophys. Res., 107, 4732, doi:10.1029/2002JD002264. · DOI
- Breugem, W.-P., W. Hazeleger, and R. J. Haarsma, 2006: Multi- model study of tropical Atlantic variability and change. Geo- phys. Res. Lett., 33, L23706, doi:10.1029/2006GL027831. · DOI
- DeWitt, D., 2005: Diagnosis of the tropical Atlantic near-equatorial SST bias in a directly coupled atmosphere-ocean general cir- culation model. Geophys. Res. Lett., 32, L01703, doi:10.1029/ 2004GL021707. · DOI
- Garratt, J. R., 1992: The Atmospheric Boundary Layer. Cambridge University Press, 334 pp.
- Li, C., X. Jia, J. Ling, W. Zhou, and C. Zhang, 2009: Sensitivity of MJO simulations to diabatic heating profiles. Climate Dyn., 32, 167-187, doi:10.1007/s00382-008-0455-x. · DOI
- Seo, H., M. Jochum, R. Murtugudde, and A. Miller, 2006: Effect of ocean mesoscale variability on the mean state of tropical At- lantic climate. Geophys. Res. Lett., 33, L09606, doi:10.1029/ 2005GL025651. · DOI
- Silva Dias, M. A. F., and Coauthors, 2002: Cloud and rain processes in a biosphere-atmosphere interaction context in the Amazon region. J. Geophys. Res., 107, 8072, doi:10.1029/2001JD000335. · DOI
- Tozuka, T., T. Doi, T. Miyasaka, N. Keenlyside, and T. Yamagata, 2011: Key factors in simulating the equatorial Atlantic zonal sea surface temperature gradient in a coupled general circu- lation model. J. Geophys. Res., 116, C06010, doi:10.1029/ 2010JC006717. · DOI
- Wahl, S., M. Latif, W. Park, and N. Keenlyside, 2010: On the tropical Atlantic SST warm bias in the Kiel Climate Model. Climate Dyn., 36, 891-906, doi:10.1007/s00382-009-0690-9. · DOI
- --, and J. A. Carton, 2004: Tropical Atlantic variability: Pat- terns, mechanisms, and impacts. Earth Climate: The Ocean- Atmosphere Interaction, Geophys. Monogr., Vol. 147, Amer. Geophys. Union, 121-142.
Cited by
Sorted by citations
The tropical atlantic observing system
Foltz, G. R., Brandt, P., Richter, I., Rodríguez-Fonseca, B., Hernandez, F., Dengler, M., Rodrigues, R. R., Schmidt, J. O., Yu, L., Lefevre, N., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00206 · Cited by 150 · see citing works
- Authors
- Zermeño-Diaz, D. M., & Zhang, C.
- Affiliations
- Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida
- University of Miami (US)
- ORCID
- Zhang, Chidong
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2013-10-04
- Volume
- 26
- Issue
- 20
- Pages
- 8154-8168
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2109167295
- Cited by
- 37
- References
- 4
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 6 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 3 · 2018: 6 · 2017: 5 · 2016: 1 · 2015: 1 · 2014: 5
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Climate (publishedVersion)
- Funders
- National Science Foundation
- U.S. Department of Energy
- National Oceanic and Atmospheric Administration
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- equatorial Atlantic, sea surface temperature gradient, atmospheric general circulation model, ocean-atmosphere interaction, entrainment, zonal momentum flux, boundary layer, sea level pressure gradient, boreal spring, model bias
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review