# Corrigendum: Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

Elodie Martinez, Thomas Gorgues, Matthieu Lengaigne, Clement Fontana, Raphaëlle Sauzède, Christophe E. Menkès, Julia Uitz, Emanuele Di Lorenzo, Ronan Fablet

► To cite this version:

Elodie Martinez, Thomas Gorgues, Matthieu Lengaigne, Clement Fontana, Raphaëlle Sauzède, et al. Corrigendum: Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach. Frontiers in Marine Science, 2020, 7, 10.3389/fmars.2020.618249. [https://doi.org/10.31458/hal-03145846](https://doi.org/10.31458/hal-03145846)

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<figure><img src="image_1.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
# Corrigendum: Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

**OPEN ACCESS**

**Edited and reviewed by:**

Juliet Hermes,
South African Environmental
Observation Network (SAEON),
South Africa

**\*Correspondence:**

Elodie Martinez
elodie.martinez@ird.fr

**†Present address:**

Matthieu Lengaigne,
MARBEC, University of Montpellier,
CNRS, IFREMER, IRD, Sete, France
Raphaëlle Sauzède,
CNRS-INSU, Institut de la Mer de
Villefranche, Sorbonne Universités,
Villefranche-sur-Mer, France

**Specialty section:**

This article was submitted to
Ocean Observation,
a section of the journal
Frontiers in Marine Science

**Received:** 16 October 2020

**Accepted:** 05 November 2020

**Published:** 26 November 2020

**Citation:**

Martinez E, Gorgues T, Lengaigne M,
Fontana C, Sauzède R, Menkes C,
Uitz J, Di Lorenzo E and Fablet R
(2020) *Corrigendum: Reconstructing
Global Chlorophyll-a Variations Using
a Non-linear Statistical Approach.*
Front. Mar. Sci. 7:618249
doi: 10.3389/fmars.2020.618249

Elodie Martinez<fnref n="1" />,²*, Thomas Gorgues<fnref n="1" />, Matthieu Lengaigne<fnref n="3" />†, Clement Fontana²,
Raphaëlle Sauzède²†, Christophe Menkes⁴, Julia Uitz⁵, Emanuele Di Lorenzo⁶ and
Ronan Fablet<fnref n="7" />

**Keywords:** machine learning, phytoplankton variability, satellite ocean color, decadal variability, global scale

## A Corrigendum on

### Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

by Martinez, E., Gorgues, T., Lengaigne, M., Fontana, C., Sauzède, R., Menkes, C., et al. (2020). *Front. Mar. Sci.* 7:464. doi: 10.3389/fmars.2020.00464

In the original article, there was a mistake in the labeling of the **Figures 11B** and **Figures 11D** color bar as published. The SST-Chl opposite relationship labels below the color bar were inverted between the green and yellow sections. The corrected **Figure 11** appears below.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

## REFERENCES

Antoine, D., Morel, A., Gordon, H. R., Banzon, V. F., and Evans, R. H. (2005). Bridging ocean color observations of the 1980s and 2000s in search of long-term trends. *J. Geophys. Res. Oceans* 110:C06009.

Martinez, E., Antoine, D., D'Ortenzio, F., and Gentili, B. (2009). Climate-driven basin-scale decadal oscillations of oceanic phytoplankton. *Science* 36, 1253–1256. doi: 10.1126/science.1177012

Copyright © 2020 Martinez, Gorgues, Lengaigne, Fontana, Sauzède, Menkes, Uitz, Di Lorenzo and Fablet. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

<footnote n="1">¹LOPS, IUEM, IRD, Ifremer, CNRS, Univ. Brest, Brest, France, ²EIO, IRD, Ifremer, UPF and ILM, Tahiti, French Polynesia,</footnote>

<footnote n="3">³LOCEAN-IPSL, Sorbonne Universités/UPMC-CNRS-IRD-MNHN, Paris, France, ⁴ENTROPIE, IRD, Univ. de la Réunion, CNRS, Univ. de la Nouvelle Calédonie, Ifremer, Noumea, New Caledonia, ⁵Laboratoire d'Océanographie de Villefranche, CNRS and Sorbonne Université, Villefranche-sur-Mer, France, ⁶Georgia Institute of Technology, Atlanta, GA, United States,</footnote>

<footnote n="7">⁷IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, France</footnote>
<figure><img src="image_2.png" /></figure>

**FIGURE 11** | Chl change from the CZCS (1979–1983) to the SeaWiFS (1998–2002) era, expressed as the logarithm of the ratio of the average values over the two time periods (A) from satellite Chl adapted from Antoine et al. (2005), (C) from Chl<sub>Svr-CCI</sub>. Note that this ratio is multiplied by 2 to fit the same color bar as in (A). Maps of areas with concomitant parallel or opposite changes of Chl and SST (B) from Chl satellite and SST from the SODA reanalysis adapted from Martinez et al. (2009) and (D) from Chl<sub>Svr-CCI</sub> and SST<sub>NEMO</sub>. The respective SST zero differences are shown on the maps as a thick black curve.