Ocean Science
Ocean Science
OS
Articles | Volume 19, issue 4
Articles | Volume 19, issue 4
https://doi.org/10.5194/os-19-973-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-19-973-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 4
Research article
 | 
06 Jul 2023
Research article |  | 06 Jul 2023

Global variability of high-nutrient low-chlorophyll regions using neural networks and wavelet coherence analysis

Gotzon Basterretxea, Joan S. Font-Muñoz, Ismael Hernández-Carrasco, and Sergio A. Sañudo-Wilhelmy

Viewed

Total article views: 3,757 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,798 812 147 3,757 199 152 184
  • HTML: 2,798
  • PDF: 812
  • XML: 147
  • Total: 3,757
  • Supplement: 199
  • BibTeX: 152
  • EndNote: 184
Views and downloads (calculated since 05 Sep 2022)
Cumulative views and downloads (calculated since 05 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,757 (including HTML, PDF, and XML) Thereof 3,680 with geography defined and 77 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Feb 2026
Download
Short summary
We examine global ocean color data and modeling outputs of nutrients using SOM analysis to identify characteristic spatial and temporal patterns of HNLC regions and their association with different climate modes. HNLC regions in polar and subpolar areas have experienced an increase in phytoplankton biomass over the last decades, particularly in the Southern Ocean. Our study finds that chlorophyll variations in HNLC regions respond to major climate variability signals.
Read more
Share