Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/esd-17-533-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-17-533-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Research article
 | 
12 May 2026
Research article |  | 12 May 2026

Detecting transitions and quantifying differences in two SST datasets using spatial permutation entropy

Juan Gancio, Giulio Tirabassi, Cristina Masoller, and Marcelo Barreiro

Viewed

Total article views: 2,458 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,515 753 190 2,458 111 162
  • HTML: 1,515
  • PDF: 753
  • XML: 190
  • Total: 2,458
  • BibTeX: 111
  • EndNote: 162
Views and downloads (calculated since 15 Oct 2025)
Cumulative views and downloads (calculated since 15 Oct 2025)

Viewed (geographical distribution)

Total article views: 2,458 (including HTML, PDF, and XML) Thereof 2,444 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 May 2026
Download
Short summary
In this work, we apply a novel quantifier, the spatial permutation entropy, to sea surface temperatures obtained from two commonly used products: ERA5 and NOAA OI v2 (NOAA Optimal Interpolation version 2). We report small scale differences between these products, as well as persistent trends at the large scale, which could be a consequence of global warming. We also report sudden changes that were not uncovered before, which correlate with different changes in the methodology or data sources of the products.
Read more
Share
Altmetrics
Final-revised paper
Preprint