Cited by 16Climate variability and modelsOceanographic and Atmospheric ProcessesMeteorological Phenomena and Simulations

Wind variability in the Canary Current during the last 70 years

Open access
Marrero-Betancort, Nerea, Marcello, Javier, Rodríguez Esparragón, Dionisio, Hernández-León, Santiago·2020·Ocean Science

Published version of a preprint

Abstract

Climate evolves following natural variability, and knowledge of these trends is of paramount importance to understand future scenarios in the frame of global change. Obtaining local data is also of importance since climatic anomalies depend on the geographical area. In this sense, the Canary Current is located in one of the major eastern boundary current systems and is mainly driven by the trade winds. The latter promote Ekman transport and give rise to one of the most important upwelling zones of the world on the northwest African coast. Nearly 30 years ago, Bakun (1990) raised a hypothesis contending that coastal upwelling in eastern boundary upwelling systems (EBUSs) might be intensified by global warming due to the enhancement of the trade winds, increasing pressure differences between the ocean and the continent. Using available NCEP/NCAR wind data north of the Canary Islands from 1948 to 2017, we show that trade wind intensity experienced a net decrease of 1 m s −1 . Moreover, these winds are strongly influenced, as expected, by large-scale atmospheric patterns such as the North Atlantic Oscillation (NAO). In addition, we found a relationship between the wind pattern and the Atlantic Multidecadal Oscillation (AMO), indicating that the ocean contributes to multidecadal atmospheric variability in this area of the ocean with a considerable lag ( > 10 years).

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5194/os-16-951-2020

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • While increasing Chl-a concentrations have been observed in most EBUS, large areas in the Canary upwelling system showed recent decreasing trends in Chl-a, NPP, and meridional wind.

    “However, while increasing concentrations of Chl-a have been observed in most EBUS, large areas in the Canary upwelling system showed recent decreasing trends in Chl-a, NPP (based on ocean color models) and meridional wind (Betancort et al., 2020;Demarcq, 2009;Gómez-Letona et al., 2017).”

    From Recent Trends in SST, Chl‐<i>a</i>, Productivity and Wind Stress in Upwelling and Open Ocean Areas in the Upper Eastern North Atlantic Subtropical Gyre (2021) · cites this paper as Betancort et al., 2020

    The Results and Discussion report a long-term decrease in Trade Wind intensity north of the Canary Islands, which supports a narrower wind-decline claim. They also report that intensity increased during the last decade, rather than showing a recent decrease. The paper studies wind at one location and does not establish decreasing Chl-a or NPP across large areas. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Betancort et al. (2020) detected a net decrease of up to 1 m s^-1 in wind intensity north of the Canary Islands from 1948 to 2017.

    “Similarly, Betancort et al. (2020) detected a net decrease of up to 1 m s -1 in wind intensity north of the Canary Islands from 1948 to 2017 using the same data set.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 24

  1. Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M., Jusem, J. C., Smith, D. K., & Gombos, D.: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications, Bulletin of the American Meteorological Society, 92, 157-174, https://doi.org/10.1175/2010BAMS2946.1, 2011. 195 · DOI
  2. Azorin-Molina, C., Menendez, M., McVicar, T. R., Acevedo, A., Vicente-Serrano, S. M., Cuevas, E., ... & Chen, D.: Wind speed variability over the Canary Islands, 1948-2014: focusing on trend differences at the land-ocean interface and below- above the trade-wind inversion layer, Clim. Dyn., 50, 4061-4081, https://doi.org/10.1007/s00382-017-3861-0, 2018. · DOI
  3. Bakun, A.: Global climate change and intensification of coastal ocean upwelling, Science, 247, 198-201, 200 https://doi.org/10.1126/science.247.4939.198, 1990. · DOI
  4. Bakun, A., & Nelson, C. S.: The seasonal cycle of wind-stress curl in subtropical eastern boundary current regions, J. Phys. Oceanogr., 21, 1815-1834, https://doi.org/10.1175/1520-0485(1991)021<1815:TSCOWS>2.0.CO;2, 1991. 205 · DOI
  5. Benazzouz, A., Mordane, S., Orbi, A., Chagdali, M., Hilmi, K., Atillah, A., Pelegrí, J.L., Hervé, D.: An improved coastal upwelling index from sea surface temperature using satellite-based approach-the case of the Canary Current upwelling 210 system, Cont. Shelf Res., 81, 38-54, https://doi.org/10.1016/j.csr.2014.03.012, 2015. · DOI
  6. Bonino, G., Di Lorenzo, E., Masina, S., & Iovino, D.: Interannual to decadal variability within and across the major Eastern Boundary Upwelling Systems, Sci. Rep., 9, 1-14, https://doi.org/10.1038/s41598-019-56514-8, 2019. 215 https://doi.org/10.5194/os-2020-18 Preprint. Discussion started: 25 March 2020 c Author(s) 2020. CC BY 4.0 License. · DOI
  7. Cropper, T. E., Hanna, E., & Bigg, G. R.: Spatial and temporal seasonal trends in coastal upwelling off Northwest Africa, 1981-2012, Deep Sea Res., 86, 94-111, https://doi.org/10.1016/j.dsr.2014.01.007, 2014. · DOI
  8. Debernard, J. B., & Røed, L. P.: Future wind, wave and storm surge climate in the Northern Seas: a revisit, Tellus A, 60, 427-438, https://doi.org/10.1111/j.1600-0870.2007.00312.x, 2008. 220 · DOI
  9. Demarcq, H.: Trends in primary production, sea surface temperature and wind in upwelling systems (1998-2007), Prog. Oceanogr., 83, 376-385, https://doi.org/10.1016/j.pocean.2009.07.022, 2009. · DOI
  10. Eden, C., & Willebrand, J.: Mechanism of interannual to decadal variability of the North Atlantic circulation, J. Clim., 14, 225 2266-2280, https://doi.org/10.1175/1520-0442(2001)014<2266:MOITDV>2.0.CO;2, 2001. · DOI
  11. Enfield, D. B., Mestas-Nuñez, A. M., & Trimble, P. J.: The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental US. Geophys. Res. Lett, 28, 2077-2080, https://doi.org/10.1029/2000GL012745, 2001. 230 · DOI
  12. Gulev, S. K., Latif, M., Keenlyside, N., Park, W., & Koltermann, K. P.: North Atlantic Ocean control on surface heat flux on multidecadal timescales, Nature, 499, 464-467, https://doi.org/10.1038/nature12268, 2013. · DOI
  13. Häkkinen, S., Rhines, P. B., & Worthen, D. L.: Atmospheric blocking and Atlantic multidecadal ocean variability, Science, 334, 655-659, https://doi.org/10.1126/science.1205683, 2011. 240 · DOI
  14. Hurrell, J. W.: Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation, Science, 269, 676- 679, https://doi.org/10.1126/science.269.5224.676, 1995. · DOI
  15. Hurrell, J. W., & Deser, C.: North Atlantic climate variability: the role of the North Atlantic Oscillation, J. Mar. Syst., 79, 245 231-244, https://doi.org/10.1016/j.jmarsys.2009.11.002, 2010. https://doi.org/10.5194/os-2020-18 Preprint. Discussion started: 25 March 2020 c Author(s) 2020. CC BY 4.0 License. Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., ... & Zhu, Y.: The NCEP/NCAR 40-year reanalysis project, Bulletin of the American meteorological Society, 77, 437-472, https://doi.org/10.1175/1520- 0477(1996)077<0437:TNYRP>2.0.CO;2, 1996. 250 · DOI
  16. Kelman, I., & Khan, S.: Progressive climate change and disasters: island perspectives, Nat. Hazards, 69, 1131-1136, https://doi.org/10.1007/s11069-013-0721-z, 2013. · DOI
  17. Lima, F.P., Wethey, D.S.: Three decades of high-resolution coastal sea surface temperaturas reveal more than warming, Nat. 255 Commun., 3, 704, https://doi.org/10.1038/ncomms1713, 2012. · DOI
  18. Neuer, S., Cianca, A., Helmke, P., Freudenthal, T., Davenport, R., Meggers, H., ... & Llinás, O.: Biogeochemistry and hydrography in the eastern subtropical North Atlantic gyre. Results from the European time-series station ESTOC, Prog. Oceanogr., 72, 1-29, https://doi.org/10.1016/j.pocean.2006.08.001, 2007. 260 · DOI
  19. Nurse, L. A., McLean, R. F., Agard, J., Briguglio, L. P., Duvat-Magnan, V., Pelesikoti, N., ... & Webb, A.: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contributions of working group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 160 pp., 2014.
  20. Pauly, D., & Christensen, V.: Primary production required to sustain global fisheries. Nature, 374, 255-257, https://doi.org/10.1038/376279b0, 1995. 270 · DOI
  21. Pörtner, D.C. Roberts, V. Masson-Delmotte, P. Zhai, E. Poloczanska, K. Mintenbeck, M. Tignor, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N.M.: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, pp.34, 2019.
  22. Santos, F., Gómez-Gesteira, M., deCastro, M., Álvarez, I.: Differences in coastal and oceanic SST trends due to the strengthening of coastal upwelling along the Benguela current system, Cont. Shelf Res., 34, 79-86, 275 https://doi.org/10.1016/j.csr.2011.12.004, 2012a. · DOI
  23. Santos, F., Gómez-Gesteira, M., deCastro, M., Álvarez, I. (2012b). Differences in coastal and oceanic SST warming rates along the Canary Upwelling Ecosystem from 1982 to 2010, Cont. Shelf Res., 47, 1-6, https://doi.org/10.1016/j.csr.2012.07.023, 2012b. 280 https://doi.org/10.5194/os-2020-18 Preprint. Discussion started: 25 March 2020 c Author(s) 2020. CC BY 4.0 License. · DOI
  24. Varela, R., Álvarez, I., Santos, F., Gómez-Gesteira, M.: Has upwelling strengthened along worldwide coasts over 1982- 2010?, Sci. Rep., 5, 10016, https://doi.org/10.1038/srep10016, 2015. 290 295 300 305 310 https://doi.org/10.5194/os-2020-18 Preprint. Discussion started: 25 March 2020 c Author(s) 2020. CC BY 4.0 License. https://doi.org/10.5194/os-2020-18 Preprint. Discussion started: 25 March 2020 c Author(s) 2020. CC BY 4.0 License. · DOI

Cited by

Sorted by citations

Authors
Marrero-Betancort, N., Marcello, J., Rodríguez Esparragón, D., & Hernández-León, S.
Affiliations
Universidad de Las Palmas de Gran Canaria (ES)
Corresponding author
Marcello, Javier
Venue
Ocean Science
Published
2020-08-06
Volume
16
Issue
4
Pages
951-963
ISSN
  • 1812-0784 (ISSN-L)
  • 1812-0792
OpenAlex
W3047849105
Cited by
16
References
3
Citations by year
2026: 6 · 2025: 1 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 1
FWCI
0.74
Type
journal article
Language
en
Open access
Locations
  • Ocean science (publishedVersion, cc-by)
  • Acceda (Universidad de Las Palmas de Gran Canaria) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
European Regional Development Fund
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 › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords
Canary Current, coastal upwelling, eastern boundary upwelling systems, North Atlantic Oscillation, Atlantic Multidecadal Oscillation, ocean-atmosphere interaction, multidecadal climate variability, global warming, NCEP/NCAR reanalysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review