Skip to main content
zenodoopen

Causes and multiyear predictability of the rapid acceleration of U.S. Southeast Sea level rise after 2010

<p><strong>Authors: </strong>Liping Zhang<sup>1*,2</sup>, Thomas L. Delworth<sup>1</sup>, Xiaosong Yang<sup>1</sup>, Fanrogn Zeng<sup>1</sup>, Qinxue Gu<sup>1,3</sup> and Shouwei Li<sup>1,3</sup></p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<sup>1</sup>NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA</p> <p><sup>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2</sup>University Corporation for Atmospheric Research, Boulder, Colorado, USA</p> <p><sup>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3</sup>The Program in Atmospheric and oceanic Sciences, Princeton University, Princeton, NJ, USA</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Replication of paper entitled&nbsp;<strong>"Causes and multiyear predictability of the rapid acceleration of U.S. Southeast Sea level rise after 2010"</strong>.</p> <p>This file contains datasets used to replicate figures in a paper published in npj Climate and Atmospheric Science. These datasets are in .mat format, which can be easily read by Matlab software using load command.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0