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

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

doi:https://doi.org/10.5194/os-19-973-2023

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

Supplement

https://doi.org/10.5194/os-19-973-2023-supplement

Data sets

The CARINA data synthesis project: introduction and overview (https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/CARINA/about_carina.html) R. M. Key, T. Tanhua, A. Olsen, M. Hoppema, S. Jutterström, C. Schirnick, S. van Heuven, A. Kozyr, X. Lin, A. Velo, D. W. R. Wallace, and L. Mintrop https://doi.org/10.5194/essd-2-105-2010

Global Ocean Biogeochemistry Hindcast product: GLOBAL_MULTIYEAR_BGC_001_029 Mercator-Ocean https://doi.org/10.48670/moi-00019

The GEOTRACES Intermediate Data Product 2021 (IDP2021) GEOTRACES, Intermediate Data Product Group https://doi.org/10.5285/cf2d9ba9-d51d-3b7c-e053-8486abc0f5fd

Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2018 D. Smeed, B. I. Moat, D. Rayner, W. E. Johns, M. O. Baringer, D. L. Volkov, and E. Frajka-Williams https://doi.org/10.5285/8cd7e7bb-9a20-05d8-e053-6c86abc012c2

World Ocean Database 2018 T. P. Boyer, O. K. Baranova, C. Coleman, H. E. Garcia, A. Grodsky, R. A. Locarnini, A. V. Mishonov, C. R. Paver, J. R. Reagan, D. Seidov, I. V. Smolyar, K. W. Weathers, and M. M. Zweng https://www.ncei.noaa.gov/products/world-ocean-database

Merged satellite ocean color data products using a bio-optical model: Characteristics, benefits and issues (https://hermes.acri.fr/) S. Maritorena, O. Hembise Fanton d'Andon, A. Mangin, and D. A. Siegel https://doi.org/10.1016/j.rse.2010.04.002

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.