Type | : | ACL |
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Nature | : | Production scientifique |
Au bénéfice du Laboratoire | : | Oui |
Statut de publication | : | Publié |
Année de publication | : | 2025 |
Auteurs (5) | : | AZEVEDO Laura MARCON Gabriel LABOURDETTE Enza MEYERS Steven,d LUTHER Mark,e |
Revue scientifique | : | Ocean Dynamics |
Volume | : | 75 |
Fascicule | : | 6 |
Pages | : | |
DOI | : | 10.1007/s10236-025-01697-0 |
URL | : | https://doi.org/10.1007/s10236-025-01697-0 |
Abstract | : | A comparative analysis of rogue wave occurrence was conducted by examining reported eye-witness incidents against ERA5 reanalysis data and ECMWF CY47R1 wave model hindcast data. The study utilized a unique dataset of 440 rogue wave incidents, analyzing sea state conditions within a 72-hour window surrounding each event, due to the challenge of pinpointing the exact time of occurrence. A marked discrepancy was observed between the datasets, with ERA5 identifying 25 rogue waves and ECMWF CY47R1 identifying 301 rogue waves, defined as waves with maximum height at least twice the significant wave height. This difference may be attributed to the sensitivity of the hindcast data to its wave-focused modeling and finer spatial resolution. Spectral characteristics related to rogue waves such as kurtosis, peakedness, skewness, and the Benjamin-Feir Index, while showing low correlation between the models, did not significantly diverge in absolute values, suggesting an underlying consistency. The study highlights the robustness of the crest-trough correlation parameter in identifying rogue waves, aligning with theories of linear superposition. These insights are pivotal for enhancing rogue wave prediction models and maritime safety assessments, with broader implications for the reliability of reanalysis and model data as detectors of rogue wave occurrence. |
Mots-clés | : | - |
Commentaire | : | - |
Tags | : | - |
Fichier attaché | : | - |
Citation | : |
Azevedo L, Marcon G, Labourdette E, Meyers SD, Luther ME (2025) Comparison of sea conditions from reported rogue wave accidents based on reanalysis and hindcast datasets. Ocean Dynam 75 | doi: 10.1007/s10236-025-01697-0
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