Abstract

We have investigated the causes of the sea surface temperature (SST) bias in the Angola–Benguela Frontal Zone (ABFZ) of the southeastern Atlantic Ocean simulated by the Norwegian Earth System Model (NorESM). Similar to other coupled-models, NorESM has a warm SST bias in the ABFZ of up to 8 °C in the annual mean. Our analysis of NorESM reveals that a cyclonic surface wind bias over the ABFZ drives a locally excessively strong southward (0.05 m/s (relative to observation)) Angola Current displacing the ABFZ southward. A series of uncoupled stand-alone atmosphere and ocean model simulations are performed to investigate the cause of the coupled model bias. The stand-alone atmosphere model driven with observed SST exhibits a similar cyclonic surface circulation bias; while the stand-alone ocean model forced with the reanalysis data produces a warm SST in the ABFZ with a magnitude approximately half of that in the coupled NorESM simulation. An additional uncoupled sensitivity experiment shows that the atmospheric model’s local negative surface wind curl generates anomalously strong Angola Current at the ocean surface. Consequently, this contributes to the warm SST bias in the ABFZ by 2 °C (compared to the reanalysis forced simulation). There is no evidence that local air-sea feedbacks among wind stress curl, SST, and sea level pressure (SLP) affect the ABFZ SST bias. Turbulent surface heat flux differences between coupled and uncoupled experiments explain the remaining 2 °C warm SST bias in NorESM. Ocean circulation, upwelling and turbulent heat flux errors all modulate the intensity and the seasonality of the ABFZ errors.

Highlights

  • Most state-of-the-art coupled atmosphere–ocean general circulation models (CGCMs) exhibit large warm sea surface temperature (SST) biases in the tropical Atlantic Ocean (e.g., Richter and Xie 2008; Li and Xie 2012; Richter et al 2012; Toniazzo and Woolnough 2014)

  • We have investigated the causes of the warm SST bias in the southeastern Atlantic Ocean and in the Angola–Benguela Frontal Zone (ABFZ) in the coupled general-circulation model NorESM (Bentsen et al 2013)

  • We analyse several standalone experiments of atmosphere and ocean models and find that our atmospheric model (CAM4) and ocean model (MICOM) possess intrinsic errors similar to those found in NorESM

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Summary

Introduction

Most state-of-the-art coupled atmosphere–ocean general circulation models (CGCMs) exhibit large warm sea surface temperature (SST) biases in the tropical Atlantic Ocean (e.g., Richter and Xie 2008; Li and Xie 2012; Richter et al 2012; Toniazzo and Woolnough 2014). The ABFZ is sensitive to local winds, in particular, the Benguela low-level coastal jet (e.g., Fennel et al 2012; Patricola and Chang 2016) and the associated local wind stress curl biases can explain the SST bias (Colberg and Reason 2006; Xu et al 2014; Grodsky et al 2012) These local errors were linked to the South Atlantic Anti-cyclone, and could be enhanced by ocean–atmosphere coupling (Cabos et al 2016).

Model and observational data details
NorESM tropical Atlantic SST Biases
Experimental designs of standalone experiments of atmosphere and ocean
Control runs
Locally blended experiments
Ocean subsurface structure
Seasonal cycle of the ABFZ and its bias
Discussion and concluding remarks
Blending methodology
Findings
Adding methodology
Full Text
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