RT Journal Article
T1 Impact of increased resolution on the representation of the Canary upwelling system in climate models
A1 Sylla, Adama
A1 Sánchez Gómez, Emilia
A1 Mignot, Juliette
A1 López Parages, Jorge
K1 Canarias - Clima
K1 Afloramiento (Oceanografía)
AB We investigate the representation of the Canary upwelling system (CUS) in six global coupled climate models operated at high and standard resolution as part of the High Resolution Model Intercomparison Project (HighResMIP). The models' performance in reproducing the observed CUS is assessed in terms of various upwelling indices based on sea surface temperature (SST), wind stress, and sea surface height, focusing on the effect of increasing model spatial resolution. Our analysis shows that possible improvement in upwelling representation due to the increased spatial resolution depends on the subdomain of the CUS considered. Strikingly, along the Iberian Peninsula region, which is the northernmost part of the CUS, the models show lower skill at higher resolution compared to their corresponding lower-resolution version in both components for all the indices analyzed in this study. In contrast, over the southernmost part of the CUS, from the north of Morocco to the Senegalese coast, the high-ocean- and high-atmosphere-resolution models simulate a more realistic upwelling than the standard-resolution models, which largely differ from the range of observational estimates. These results suggest that increasing resolution is not a sufficient condition to obtain a systematic improvement in the simulation of the upwelling phenomena as represented by the indices considered here, and other model improvements notably in terms of the physical parameterizations may also play a role.
PB European Geosciences Union
YR 2022
FD 2022-11-17
LK https://hdl.handle.net/10630/36351
UL https://hdl.handle.net/10630/36351
LA eng
NO Sylla, A., Sanchez Gomez, E., Mignot, J., and López-Parages, J.: Impact of increased resolution on the representation of the Canary upwelling system in climate models, Geosci. Model Dev., 15, 8245–8267, https://doi.org/10.5194/gmd-15-8245-2022, 2022
NO This work was mainly funded by European Union Horizon (H2020) research and innovation program (grant no. 817578), as part of the TRIATLAS project.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 2 mar 2026