Articles | Volume 18, issue 14
https://doi.org/10.5194/gmd-18-4685-2025
https://doi.org/10.5194/gmd-18-4685-2025
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

Data sets

HFR-NAdr (High Frequency Radar NAdr network) OGS, NIB, ARSO, and ARPA FVG https://doi.org/10.57762/8RRE-0Z07

Model code and software

Comparing an idealized deterministic-stochastic model (SUP model, version 1) of the tide-andwind driven sea surface currents in the Gulf of Trieste to HF Radar observations Flora Sofia et al. https://doi.org/10.5281/zenodo.14562025

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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.
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