Title
Assessment of the Canary current upwelling system in a regionally coupled climate model
Date Issued
01 January 2022
Access level
open access
Resource Type
journal article
Author(s)
Vazquez R.
Parras-Berrocal I.
Cabos W.
Sein D.V.
Mañanes R.
Izquierdo A.
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
The Canary current upwelling is one of the major eastern boundary coastal upwelling systems in the world, bearing a high productive ecosystem and commercially important fisheries. The Canary current upwelling system (CCUS) has a large latitudinal extension, usually divided into upwelling zones with different characteristics. Eddies, filaments and other mesoscale processes are known to have an impact in the upwelling productivity, thus for a proper representation of the CCUS and high horizontal resolution are required. Here we assess the CCUS present climate in the atmosphere–ocean regionally coupled model. The regional coupled model presents a global oceanic component with increased horizontal resolution along the northwestern African coast, and its performance over the CCUS is assessed against relevant reanalysis data sets and compared with an ensemble of global climate models (GCMs) and an ensemble of atmosphere-only regional climate models (RCMs) in order to assess the role of the horizontal resolution. The coupled system reproduces the larger scale pattern of the CCUS and its latitudinal and seasonal variability over the coastal band, improving the GCMs outputs. Moreover, it shows a performance comparable to the ensemble of RCMs in representing the coastal wind stress and near-surface air temperature fields, showing the impact of the higher resolution and coupling for CCUS climate modelling. The model is able of properly reproducing mesoscale structures, being able to simulate the upwelling filaments events off Cape Ghir, which are not well represented in most of GCMs. Our results stress the ability of the regionally coupled model to reproduce the larger scale as well as mesoscale processes over the CCUS, opening the possibility to evaluate the climate change signal there with increased confidence.
Start page
69
End page
85
Volume
58
Issue
February 1
Language
English
OCDE Knowledge area
Oceanografía, Hidrología, Recursos hídricos Ciencias del medio ambiente
Scopus EID
2-s2.0-85111150504
Source
Climate Dynamics
ISSN of the container
09307575
Sponsor(s)
The authors acknowledge the Copernicus marine services ( http://marine.copernicus.eu ), because this study has been conducted using CMEMS modeled products (GLORYS12v1) and observational data sources (ESA). The authors also thank the coordinating body of AFRICA-CORDEX ( http://www.csag.uct.ac.za/cordex-africa ) and the responsible panel for CMIP5. This work has been developed within the framework of the European Cooperation Project Interreg VA España-Portugal “OCASO” (Southwest Coastal Environmental Observatory, 0223_OCASO_5_E). Dmitry Sein was supported in the framework of the state assignment of the Ministry of Science and Higher Education of Russia (No. 0128-2021-0014). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba0987. The authors acknowledge the Copernicus marine services (http://marine.copernicus.eu), because this study has been conducted using CMEMS modeled products (GLORYS12v1) and observational data sources (ESA). The authors also thank the coordinating body of AFRICA-CORDEX (http://www.csag.uct.ac.za/cordex-africa) and the responsible panel for CMIP5. This work has been developed within the framework of the European Cooperation Project Interreg VA España-Portugal “OCASO” (Southwest Coastal Environmental Observatory, 0223_OCASO_5_E). Dmitry Sein was supported in the framework of the state assignment of the Ministry of Science and Higher Education of Russia (No. 0128-2021-0014). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba0987. Open Access funding enabled and organized by Projekt DEAL. Ruben Vazquez was supported through a doctoral grant at the University of Ferrara and University of Cádiz. Dmitry Sein was supported in the framework of the state assignment of the Ministry of Science and Higher Education of Russia (No. 0128-2021-0014). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba0987.
Sources of information: Directorio de Producción Científica Scopus