Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/ascmo-9-67-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-9-67-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 1
05 Jun 2023
 | 05 Jun 2023

Statistical modeling of the space–time relation between wind and significant wave height

Said Obakrim, Pierre Ailliot, Valérie Monbet, and Nicolas Raillard

Viewed

Total article views: 1,142 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
888 192 62 1,142 41 62
  • HTML: 888
  • PDF: 192
  • XML: 62
  • Total: 1,142
  • BibTeX: 41
  • EndNote: 62
Views and downloads (calculated since 05 Jun 2023)
Cumulative views and downloads (calculated since 05 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,144 (including HTML, PDF, and XML) Thereof 1,144 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
Ocean wave climate has a significant impact on human activities, and its understanding is of socioeconomic and environmental importance. In this study, we propose a statistical model that predicts wave heights in a location in the Bay of Biscay. The proposed method allows us to understand the spatiotemporal relationship between wind and waves and predicts well both wind seas and swells.
Read more
Share