Secular Variability of the Upwelling at the Canaries Latitude: An Instrumental Approach
Open accessAbstract
In this research we make use of historical wind direction observations to assemble an instrumental upwelling intensity index (the so‐called Directional Upwelling Index [DUI]) for the coast of Northwest Africa between 26° and 33°N and from 1825 to 2014. The DUI is defined as the persistence of the alongshore winds at the coast and unlike other upwelling indices, it relies on observed wind direction solely, avoiding the suspected bias toward increasing wind speed of historical wind observations documented in previous research. We have found that between June and October, when the upwelling intensity in the area is at its seasonal maximum, the persistence of the north‐easterlies measured by the DUI is significantly related to the alongshore wind stress and subsequently with Sea Surface Temperature anomalies at the coast of NW Africa. The analysis of the DUI record does not display a consistent long‐term trend but an oscillatory behavior. At interannual time scales this variability can be linked to the changes in the strength and location of the subtropical north Atlantic high‐pressure center and at multidecadal scales, the upwelling seems mainly driven by the Atlantic Multidecadal Variability through the modulation exerted by this climatic pattern on the intensity of the Saharan low.
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There is a lack of agreement on the conclusions of studies on long-term SST trends and interannual variability in the CCUS due to different analyses and approaches.
“However, there is a lack of agreement on the conclusions of these studies due to the different analyses and approaches in detecting long-term trends and the interannual variability of SST in the region [24].”
From Baseline Climatology of the Canary Current Upwelling System and Evolution of Sea Surface Temperature (2024) · cites this paper as [24]
The Introduction (page unavailable) says that analyses of long-term trends and interannual variability in Canary upwelling have reached contradictory conclusions, largely because of the observations used to quantify upwelling. It identifies SST gradients as one measure, but does not specifically say that studies of SST trends and SST interannual variability disagree. (LLM, conf=0.86)
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Baseline Climatology of the Canary Current Upwelling System and Evolution of Sea Surface Temperature
Mills, L., Janeiro, J., & Martins, F. (2024) · Remote Sensing · doi:10.3390/rs16030504 · Cited by 5 · see citing works
- Authors
- Gallego, D., García‐Herrera, R., Mohino, E., Losada, T., & Rodríguez‐Fonseca, B.
- Affiliations
- Universidad Pablo de Olavide (ES)
- Universidad Complutense de Madrid (ES)
- Departamento de Física de la Tierra y Astrofísica Universidad Complutense Madrid Spain
- Corresponding author
- Gallego, D.
- Venue
- Journal of Geophysical Research: Oceans
- Publisher
- American Geophysical Union (AGU)
- Published
- 2022-03
- Volume
- 127
- Issue
- 3
- ISSN
- 2169-9275 (ISSN-L)
- 2169-9291
- OpenAlex
- W4220883771
- Cited by
- 11
- References
- 4
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 5
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Geophysical Research Oceans (publishedVersion, cc-by-nc-nd)
- RIO (Universidad Pablo de Olavide) (submittedVersion, cc-by-nc-nd)
- Docta Complutense (Universidad Complutense de Madrid) (submittedVersion, cc-by-nc-nd)
- Funders
- Ministerio de Economía, Industria y Competitividad, Gobierno de España (CGL2015‐72164‐EXP)
- European Commission (817578)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
- Keywords
- alongshore wind stress, sea surface temperature anomalies, Atlantic Multidecadal Oscillation, interannual variability, multidecadal variability
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