Data of the article "Predicting the 2023/24 El Niño from a multi-scale and global perspective" that published in Communications Earth & Environment

<p>MATLAB data of the article "Predicting the 2023/24 El Ni&ntilde;o from a multi-scale and global perspective" that published in Communications Earth &amp; Environment.</p> <p>The article is available on the Communications Earth &amp; Environment at&nbsp;<a title="Predicting the 2023/24 El Ni&ntilde;o from a multi-scale and global perspective" href="https://www.nature.com/articles/s43247-024-01867-w">https://www.nature.com/articles/s43247-024-01867-w</a>.</p> <p>These data include ocean temperature, current, atmosphere wind, pressure, precipitation, heat flux, and more, that from reanalysis data and coupled model outputs. Additionaly, there are four figures of the article.</p> <p>The related MATLAB codes can be accessed from&nbsp; <a href="https://github.com/HRKsince1993/COMMSENV-24-1347.git">https://github.com/HRKsince1993/COMMSENV-24-1347.git</a></p> <p>If these data are helpful to you, please cite our article or acknowledge us in your publication, e. g.</p> <p>Hu, R. <em>et al.</em> Predicting the 2023/24 El Ni&ntilde;o from a multi-scale and global perspective. <em>Commun. Earth Environ.</em> <strong>5</strong>, 675 (2024).&nbsp;</p> <p>If you have any questions, please contact Tao Lian (<a href="mailto:liantao@sio.org.cn">liantao@sio.org.cn</a>) and/or Dake Chen (<a href="mailto:dchen@sio.org.cn">dchen@sio.org.cn</a>) and/or me.</p> <p>&nbsp;&nbsp;</p> <p>Best wishes</p> <p>Ruikun Hu</p> <p>Ph.D of physical oceanography</p> <p>State Key Laboratory of Satellite Ocean Environment Dynamics,</p> <p>Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China</p> <p><a href="mailto:ruikunhu@sio.org.cn">ruikunhu@sio.org.cn</a></p> <p>October 18, 2024</p> <p>Updated on November 8, 2024</p>