Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 14
Articles | Volume 18, issue 14
https://doi.org/10.5194/gmd-18-4685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-4685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 14
Model description paper
 | 
30 Jul 2025
Model description paper |  | 30 Jul 2025

Comparing an idealized deterministic–stochastic model (SUP model, version 1) of the tide- and wind-driven sea surface currents in the Gulf of Trieste to high-frequency radar observations

Sofia Flora, Laura Ursella, and Achim Wirth

Viewed

Total article views: 5,034 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,864 920 250 5,034 260 338
  • HTML: 3,864
  • PDF: 920
  • XML: 250
  • Total: 5,034
  • BibTeX: 260
  • EndNote: 338
Views and downloads (calculated since 16 Jan 2025)
Cumulative views and downloads (calculated since 16 Jan 2025)

Viewed (geographical distribution)

Total article views: 5,034 (including HTML, PDF, and XML) Thereof 4,965 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Nov 2026
Download
Short summary
We developed a hierarchy of idealized deterministic–stochastic models to simulate sea surface currents in the Gulf of Trieste. They include tide- and wind-driven sea surface current components, resolving the slowly varying part of the flow, and a stochastic signal, representing the fast-varying small-scale dynamics. The comparison with high-frequency radar observations shows that the non-Gaussian stochastic model captures key dynamics and mimics the observed fat-tailed probability distribution.
Read more
Share
Altmetrics
Final-revised paper
Preprint