Articles | Volume 19, issue 4
https://doi.org/10.5194/os-19-973-2023
https://doi.org/10.5194/os-19-973-2023
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: 2,301 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,685 512 104 2,301 134 91 97
  • HTML: 1,685
  • PDF: 512
  • XML: 104
  • Total: 2,301
  • Supplement: 134
  • BibTeX: 91
  • EndNote: 97
Views and downloads (calculated since 05 Sep 2022)
Cumulative views and downloads (calculated since 05 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,301 (including HTML, PDF, and XML) Thereof 2,250 with geography defined and 51 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
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.