Cited by 37Climate variability and modelsMeteorological Phenomena and SimulationsOceanographic and Atmospheric Processes

Possible root causes of surface westerly biases over the equatorial Atlantic in global climate models.

Open access
Zermeño-Diaz, David M., Zhang, Chidong·2013·Journal of Climate

Abstract

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.

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Crossref · 10.1175/jcli-d-12-00226.1

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  • 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)

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Research works printed but not linked: 10

  1. 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
  2. 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
  3. 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
  4. Garratt, J. R., 1992: The Atmospheric Boundary Layer. Cambridge University Press, 334 pp.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. --, 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

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Authors
Zermeño-Diaz, D. M., & Zhang, C.
Affiliations
  • Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida
  • University of Miami (US)
Venue
Journal of Climate
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
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

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