Cited by 65Climate variability and modelsOceanographic and Atmospheric ProcessesMeteorological Phenomena and Simulations

The Bjerknes feedback in the tropical Atlantic in CMIP5 models.

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Deppenmeier, Anna-Lena, Haarsma, Reindert J., Hazeleger, Wilco·2016·Climate Dynamics

Abstract

Coupled state-of-the-art general circulation models still perform relatively poorly in simulating tropical Atlantic (TA) climate. To investigate whether lack of air–sea interaction might be responsible for their biases, we investigate the Bjerknes feedback (BF) in the TA, the driver of the dominant interannual variability in that region. First, we analyse this mechanism from reanalysis data. Then, we compare our findings to model output from the Coupled Model Intercomparison Project Phase 5. The feedback is subdivided into three components. The first one consists of the influence of eastern equatorial sea surface temperature anomalies (SST’) on zonal wind stress anomalies ( $$\tau _u$$ ’) in the western basin. The second component is the influence of wind stress anomalies in the western TA on eastern equatorial oceanic heat content anomalies (HC’). The third component is the local response of overlying SST’ to HC’ in the eastern TA. All three components are shown to be present in ERA-Interim and ORAS4 reanalysis by correlating the two variables of each component with each other. The obtained patterns are compared to the ones from model output via pattern correlation per component. While the models display errors in the annual cycles of SST, $$\tau _u$$ , and HC, as well as in the seasonality of the feedback, the impact of SST’ on wind stress and the impact of wind stress on HC’ are simulated relatively well by most of the models. This is especially the case when correcting for the error in seasonality. The third component of the BF, the impact of HC’ on SST’ in the eastern part of the basin, deviates from what we find in reanalysis. We find an influence of HC anomalies on overlying SSTs in the eastern equatorial TA, but it is weaker than in the reanalysis and it is not strongly confined to the equator. Longitude–depth cross sections of equatorial temperature variance and correlation between subsurface temperature anomalies and SST’ in the cold tongue region show that flawed simulation and slow adjustment of the subsurface ocean are responsible for this.

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  • Poor representation of the AZM in many models appears related to the under-representation of the thermocline feedback associated with an overly deep mixed layer and too weak upwelling in the eastern Atlantic.

    “Poor representation of the AZM in many models appears related to the under-representation of the thermocline feedback associated with an overly deep mixed layer and too weak upwelling in the eastern Atlantic (Ding et al., 2015a,b;Deppenmeier et al., 2016;Dippe et al., 2018;Jouanno et al., 2017).”

    From The tropical atlantic observing system (2019) · cites this paper as Deppenmeier et al., 2016

    Section 4.3 (page unavailable) reports that models generally underestimate the influence of subsurface heat-content anomalies on eastern Atlantic SST, and the Conclusion links poor representation of that feedback to erroneous vertical oceanic stratification. The paper does not establish an overly deep mixed layer or too-weak eastern Atlantic upwelling as the causes; the Conclusion says the subsurface errors could arise from ocean mixing and/or atmospheric forcing. (LLM, conf=0.88)

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Authors
Deppenmeier, A.-L., Haarsma, R. J., & Hazeleger, W.
Affiliations
Royal Netherlands Meteorological Institute (NL)
Corresponding author
Deppenmeier, Anna-Lena
Venue
Climate Dynamics
Published
2016-02-10
Volume
47
Issue
7-8
Pages
2691-2707
ISSN
  • 0930-7575 (ISSN-L)
  • 1432-0894
OpenAlex
W2257735107
Cited by
65
References
30
Citations by year
2025: 2 · 2024: 6 · 2023: 2 · 2022: 8 · 2021: 8 · 2020: 15 · 2019: 9 · 2018: 8 · 2017: 6 · 2016: 1
FWCI
5.93
Type
journal article
Language
en
Open access
Locations
  • Climate Dynamics (publishedVersion, cc-by)
  • Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
Funders
European Commission (603521)
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
Bjerknes feedback, tropical Atlantic, ocean-atmosphere interaction, sea surface temperature anomalies, wind stress anomalies, ocean heat content, interannual variability, CMIP5 model evaluation, equatorial cold tongue

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