The influence of South American regional climate on the simulation of the Southern Hemisphere extratropical circulation
This paper presents new modeling evidence showing the added value of high-resolution information from South America (SA) in the simulation of the Southern Hemisphere (SH) extratropical circulation. LMDZ, a coarse-resolution atmospheric global general circulation model constitutes the main tool for this investigation. Parallel to the control simulation, a two-way nesting (TWN) simulation of LMDZ is performed with an interactive coupling to the same model, but with a higher-resolution zoom over SA. The third simulation is a perfect boundary simulation for which re-analysis information from ERA-Interim is used to nudge LMDZ, but only over SA. Results indicate that enhanced resolution over SA improves the representation of the most important processes that influence extratropical eddy activity. The local improvement is followed by a better representation of the global extratropical circulation, especially in austral summer. The regional climate enhancement over SA has positive effects on simulation of the midlatitude jet position during the austral summer by significantly reducing the bias of the mean zonal kinetic energy outside the nudged zone. On the other hand, the wintertime general circulation outside the nudged-zone shows a limited bias-reduction for the regional-driven simulations, especially in the case of the TWN system. However, improvements of the TWN system compared to the control experiment are noticed in early stages of cyclone lifecycle, as it is identified in a better simulation of transient meridional heat transport and transient kinetic energy intensity. The findings of the present study suggest, thus, that improvements in resolution over SA effectively excite the simulation of the mean atmospheric circulation in the SH.
KeywordsTwo-way nesting system Extratropical circulation Southern Hemisphere Influence of South American regional climate
This work was supported by the Argentinean agencies CONICET (PIP 11220150100402CO) and ANPCyT (PICT 2014-0887, PICT-2015-3097), and by the French National Program LEFE/INSU (AO2015-876370). Computing resources were allocated by GENCI/IDRIS, the computer center of CNRS. The first author was supported by CONICET and by the Saint Exupéry Program (MED-MAEDI).
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