Front. Earth Sci. Frontiers in Earth Science Front. Earth Sci. 2296-6463 Frontiers Media S.A. 876874 10.3389/feart.2022.876874 Earth Science Correction Corrigendum: The Short-Term Climate Prediction System FIO-CPS v2.0 and Its Prediction Skill in ENSO Song et al. Corrigendum: FIO-CPS v2.0 and Its Prediction Skill in ENSO Song Yajuan 1 2 3 Shu Qi 1 2 3 Bao Ying 1 2 3 Yang Xiaodan 1 2 3 Song Zhenya 1 2 3 * 1 Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China 2 Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao, China 3 Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao, China

Edited and reviewed by: Ruihuang Xie, Ocean University of China, China

 *Correspondence: Zhenya Song, songroy@fio.org.cn

This article was submitted to Atmospheric Science, a section of the journal Frontiers in Earth Science

 11 03 2022 2022 10 876874 16 02 2022 18 02 2022 Copyright © 2022 Song, Shu, Bao, Yang and Song. 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.

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

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.

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.