Title
On the impact of atmospheric vs oceanic resolutions on the representation of the sea surface temperature in the South Eastern Tropical Atlantic
Date Issued
01 June 2020
Access level
open access
Resource Type
journal article
Author(s)
de la Vara A.
Sein D.V.
Sidorenko D.
Koldunov N.V.
Koseki S.
Soares P.M.M.
Danilov S.
University of Alcalá
Publisher(s)
Springer
Abstract
Despite the efforts of the modelling community to improve the representation of the sea surface temperature (SST) over the South Eastern Tropical Atlantic, warm biases still persist. In this work we use four different configurations of the fully-coupled AWI Climate Model (AWI-CM) which allow us to gain physics-based insight into the role of the oceanic and atmospheric resolutions of the model in the regional distribution of the SST. Our results show that a sole refinement of the oceanic resolution reduces warm biases further than a single increase of the atmospheric component. An increased oceanic resolution is required (i) to simulate properly the Agulhas Current and its associated rings; (ii) to reinforce the northward-flowing Benguela Current and (iii) to intensify coastal upwelling. The best results are obtained when both resolutions are refined. However, even in that case, warm biases persist, reflecting that some processes and feedbacks are still not optimally resolved. Our results indicate that overheating is not due to insufficient upwelling, but rather due to upwelling of waters which are warmer than observations as a result of an erroneous representation of the vertical distribution of temperature. Errors in the representation of the vertical temperature profile are the consequence of a warm bias in the simulated climate state.
Start page
4733
End page
4757
Volume
54
Issue
December 11
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas Ciencias del medio ambiente Oceanografía, Hidrología, Recursos hídricos
Publication version
Version of Record
Scopus EID
2-s2.0-85084134962
Source
Climate Dynamics
ISSN of the container
0930-7575
Sponsor(s)
A. de la Vara and William Cabos have been funded by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Research Agency and the European Regional Development Fund, through grant CGL2017-89583-R. N. Koldunov is funded by project S1 (Diagnosis and Metrics in Climate Models) of the Collaborative Research Centre TRR 181 “Energy Transfer in Atmosphere and Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Projektnummer 274762653. D. Sidorenko is funded by the Helmholtz Climate Initiative REKLIM (Regional Climate Change). S. Koseki is supported by the program of Giner de los Ríos 2018/19, Universidad de Alcalá. We thank both reviewers for their constructive comments on this work. We are grateful to Francisco José Álvarez García for his interest in this study. Pedro M.M. Soares wishes to acknowledge the FCT projects LEADING (PTDC/CTA-MET/28914/2017) and UID/GEO/50019/2019 - Instituto Dom Luiz. Model simulations were performed on German Climate Computing Center (DKRZ) in the framework of European Union's Horizon 2020 research and innovation programme under grant agreement 641727 PRIMAVERA (Dmitry Sein). Dmitry Sein also acknowledges the state assignment of FASO Russia (theme 0149‐2019‐0015).
Sources of information: Directorio de Producción Científica Scopus