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Cited by 16Oceanographic and Atmospheric ProcessesClimate variability and modelsMeteorological Phenomena and Simulations

Impact of increased resolution on the representation of the Canary upwelling system in climate models

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Sylla, Adama, Sanchez Gomez, Emilia, Mignot, Juliette, López-Parages, Jorge·2022·Geoscientific Model Development
DOI 10.5194/gmd-15-8245-2022

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Abstract

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.

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  • This improvement is visible for all EBUS with the exception of CUS, where most models adequately reproduce the influence of upwelling on SST patterns for both experiments independently of resolution.

    “In fact, this improvement is visible for all EBUS with the exception of CUS, where most of models adequately reproduce the influence of upwelling on the SST patterns for both experiments independently of the resolution as Sylla et al. (2022) [53] found in their study.”

    From Examining the ability of CMIP6 models to reproduce the upwelling SST imprint in the Eastern Boundary Upwelling Systems (2022) · cites this paper as Sylla et al. (2022) [53]

    Section 4.1 (page not available) finds that higher-resolution models represent the SST-based upwelling index more realistically in the Moroccan subregions of the CUS; lower-resolution models markedly underestimate its amplitude in the southern Moroccan subregion. The Summary and conclusions likewise report clear improvement in the southern CUS, contrary to the claim that CUS is an exception whose representation is adequate independently of resolution. The study evaluates CUS, not improvements across all EBUS. (LLM, conf=0.88)

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Cited by

Sorted by citations

Authors
Sylla, A., Sanchez Gomez, E., Mignot, J., & López-Parages, J.
Affiliations
Centre National de la Recherche Scientifique (FR)
ORCID
Venue
Geoscientific Model Development
Publisher
Copernicus GmbH
Published
2022-11-17
Volume
15
Issue
22
Pages
8245-8267
ISSN
  • 1991-959X (ISSN-L)
  • 1991-9603
DOI
10.5194/gmd-15-8245-2022
OpenAlex
W4309602876
Cited by
16
References
5
Citations by year
2026: 4 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 1
FWCI
1.48
Type
journal article
Language
en
Open access
Licence
Locations
  • Geoscientific model development (publishedVersion, cc-by)
  • HAL (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Repositorio Institucional de la Universidad de Málaga (University of Málaga) (submittedVersion, cc-by)
Funders
H2020 European Research Council (grant agreement No 817578.)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords
model resolution, HighResMIP, sea surface temperature, wind stress, sea surface height, ocean-atmosphere interaction, physical parameterization

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