Advancing multi-scale wave modeling: Global and coastal applications during the 2022 Atlantic hurricane season
Using the six-month hurricane season of 2022 as a case study and the spectral wave model WAVEWATCH III, this effort shows that wave parameters produced via a variable-resolution global mesh (5–30 km) agree with a diverse array of validating observational datasets at a level comparable to that of a constant-resolution mesh (3 km) that is six times more costly to run. The optimized variable-resolution, unstructured triangular mesh is faithful to land geometry and wave transformation gradients while relaxing focus in deeper regions where gradients are typically less pronounced. Wave parameters measured via satellite altimetry, stationary buoy networks, and drifting buoys are employed to demonstrate not only a substantial increase in performance over a coarse, constant-resolution grid (40 km), with RMSE reduced from 0.28 m to 0.14 m and Correlation Coefficient (CC) improved from 0.92 to 0.98 overall, but also a comparable level of performance to that of a mesh that has undergone a full convergence analysis. Performance comparisons isolated to shallow regions and near cyclonic storms highlight the importance of resolving relevant geometries. For nearshore data, RMSE improves from 0.29 m to 0.13 m and CC from 0.89 to 0.98; in shallow regions, RMSE from 0.29 m to 0.15 m and CC from 0.88 to 0.97; and under cyclonic conditions, RMSE from 0.62 m to 0.35 m and CC from 0.93 to 0.98. Wave model results using the variable-resolution mesh were further analyzed to provide a detailed summary of the wave climate, including wind-wave and swell partitions, over the six-month study period in the study area. • An efficient mesh maintained accuracy while reducing computational costs. • An Optimized mesh was created to capture wave dynamics, and geometries. • Validated Model: Tested with satellite, buoy data across multiple wave conditions. • Wave Climate Study: Detailed 2022 Atlantic hurricane season wave analysis provided.
Authors
- Tyler Hesser (ORCID: https://orcid.org/0000-0001-5076-5544)
- Ali Abdolali (ORCID: https://orcid.org/0000-0003-3946-1552)
- Aron Roland (ORCID: https://orcid.org/0000-0003-4153-0334)
- Luca Centurioni (ORCID: https://orcid.org/0000-0002-6248-8780)
- David Honegger (ORCID: https://orcid.org/0000-0001-6182-0449)
- Martha Schönau (ORCID: https://orcid.org/0000-0002-2344-5075)
- Héloïse Michaud (ORCID: https://orcid.org/0009-0005-8460-274X)
- Jane McKee Smith
Institutions
- Scripps Institution of Oceanography (US)
- Service Hydrographique et Océanographique de la Marine (FR)
- Scripps Laboratories (United States) (US)
- Earth System Science Interdisciplinary Center (US)
- U.S. Army Engineer Research and Development Center (US)
Publication Details
- Journal
- Ocean Modelling
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1016/j.ocemod.2025.102623
- Primary Topic
- Ocean Waves and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00