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: 493 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
360 115 18 493 20 28
  • HTML: 360
  • PDF: 115
  • XML: 18
  • Total: 493
  • BibTeX: 20
  • EndNote: 28
Views and downloads (calculated since 05 Jun 2023)
Cumulative views and downloads (calculated since 05 Jun 2023)

Viewed (geographical distribution)

Total article views: 477 (including HTML, PDF, and XML) Thereof 477 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 May 2024
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