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CORRECTION article

Front. Mar. Sci., 28 March 2023
Sec. Ocean Observation

Corrigendum: Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean

Qiang LiQiang Li1Lingling Jiang*Lingling Jiang1*Yanlong ChenYanlong Chen2Junwu TangJunwu Tang3Siwen GaoSiwen Gao2
  • 1College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China
  • 2National Marine Environmental Monitoring Center, Ministry of Ecology Environment, Dalian, China
  • 3Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China

A corrigendum on
Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean

by Li Q, Jiang L, Chen Y, Tang J and Gao S (2023) Front. Mar. Sci. 9:1048893. doi: 10.3389/fmars.2022.1048893

Text Correction

In the published article, there were two errors.

A correction has been made to Section 3 Results, [3.2.2 Algorithm applied in specific regions]. This sentence previously stated:

“The AMT26 dataset was collected in September-October 2016 from the Atlantic oligotrophic gyre regions, with several match-ups (N=39) and POC concentrations ranging from 15.79 to 43.88 mg/m3 (Figures 8A, B).”

The corrected sentence appears below:

“The AMT26 dataset was collected in September-October 2016 from the Atlantic oligotrophic gyre regions, with several match-ups (N=38) and POC concentrations ranging from 15.79 to 43.88 mg/m3 (Figures 8A, B).”

A correction has been made to Section 4 Discussion, [4.1 Algorithm applied to OLCI data in Bohai Sea of Chinas], [-]. This chapter title previously stated:

“4.1 Algorithm applied to OLCI data in Bohai Sea of Chinas”

The corrected chapter title appears below:

“4.1 Algorithm applied to OLCI data in Bohai Sea of China”

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: satellite ocean color, absorption coefficient, global bio-optical algorithm, ocean color climate change initiative, particulate organic carbon

Citation: Li Q, Jiang L, Chen Y, Tang J and Gao S (2023) Corrigendum: Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean. Front. Mar. Sci. 10:1167136. doi: 10.3389/fmars.2023.1167136

Received: 16 February 2023; Accepted: 21 March 2023;
Published: 28 March 2023.

Edited and Reviewed by:

Gemma Kulk, Plymouth Marine Laboratory, United Kingdom

Copyright © 2023 Li, Jiang, Chen, Tang and Gao. 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.

*Correspondence: Lingling Jiang, jiangll@dlmu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.