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CORRECTION article

Front. Earth Sci., 11 March 2022
Sec. Atmospheric Science
Volume 10 - 2022 | https://doi.org/10.3389/feart.2022.876874
This article is part of the Research Topic ENSO Nonlinearity and Complexity: Features, Mechanisms, Impacts and Prediction View all 14 articles

Corrigendum: The Short-Term Climate Prediction System FIO-CPS v2.0 and Its Prediction Skill in ENSO

This article is a correction to:

  1. The Short-Term Climate Prediction System FIO-CPS v2.0 and its Prediction Skill in ENSO

    1. Read original article
Yajuan Song,,Yajuan Song1,2,3Qi Shu,,Qi Shu1,2,3Ying Bao,,Ying Bao1,2,3Xiaodan Yang,,Xiaodan Yang1,2,3Zhenya Song,, Zhenya Song1,2,3*
  • 1Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
  • 2Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
  • 3Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao, China

A Corrigendum on
The Short-Term Climate Prediction System FIO-CPS v2.0 and Its Prediction Skill in ENSO

by Song, Y., Shu, Q., Bao, Y., Yang, X., and Song, Z. (2021). Front. Earth Sci. 9:759339. doi:10.3389/feart.2021.759339

In the original article, there was a mistake in Figure 5 as published. The color bar for Figure 5A is inconsistent with the other figures, so the values in Figure 5A cannot represent the real prediction skills of FIO-CPS v1.0. The corrected Figure 5 appears below.

FIGURE 5
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FIGURE 5. ACC and RMSE of the Niño 3.4 SSTA as a function of the target month and lead month obtained using the (A,D) FIO-CPS v1.0; (B,E) FIO-CPS v2.0; (C,F) the differences between FIO-CPS v2.0 and FIO-CPS v1.0.

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: short-term climate prediction system, seasonal prediction, ENSO, climate model, sea surface temperature, FIO-CPS

Citation: Song Y, Shu Q, Bao Y, Yang X and Song Z (2022) Corrigendum: The Short-Term Climate Prediction System FIO-CPS v2.0 and Its Prediction Skill in ENSO. Front. Earth Sci. 10:876874. doi: 10.3389/feart.2022.876874

Received: 16 February 2022; Accepted: 18 February 2022;
Published: 11 March 2022.

Edited and reviewed by:

Ruihuang Xie, Ocean University of China, China

Copyright © 2022 Song, Shu, Bao, Yang and Song. 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: Zhenya Song, songroy@fio.org.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.