A global unstructured, coupled, high-resolution hindcast of waves and storm surge
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866929282798845952 |
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| author | Mentaschi, Lorenzo Vousdoukas, Michalis Garcia-Sanchez, Guillermo Montblanc, Tomas Fernandez Roland, Aron Voukouvalas, Evangelos Federico, Ivan Abdolali, Ali Zhang, Yinglong J. Feyen, Luc |
| author_facet | Mentaschi, Lorenzo Vousdoukas, Michalis Garcia-Sanchez, Guillermo Montblanc, Tomas Fernandez Roland, Aron Voukouvalas, Evangelos Federico, Ivan Abdolali, Ali Zhang, Yinglong J. Feyen, Luc |
| contents | Accurate information on waves and storm surges is essential to understand coastal hazards that are expected to increase in view of global warming and rising sea levels. Despite the recent advancement in development and application of large-scale coastal models, nearshore processes are still not sufficiently resolved due to coarse resolutions, transferring errors to coastal risk assessments and other large-scale applications. Here we developed a 50-year hindcast of waves and storm surges on an unstructured mesh of >650,000 nodes with an unprecedented resolution of 2-4 km at the global coast. Our modelling system is based on the circulation model SCHISM that is fully coupled with the WWM-V (WindWaveModel) and is forced by surface winds, pressure, and ice coverage from the ERA5 reanalysis. Results are compared with observations from satellite altimeters, tidal gauges and buoys, and show good skill for both Sea Surface Height (SSH) and Significant Wave Height (Hs), and a much-improved ability to reproduce the nearshore dynamics compared with previous, lower-resolution studies. Besides SSH, the modelling system also produces a range of other wave-related fields at each node of the mesh with a time step of 3 hours, including the spectral parameters of the first three largest energy peaks. This dataset offers the potential for more accurate global-scale applications on coastal hazard and risk |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2306_16337 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A global unstructured, coupled, high-resolution hindcast of waves and storm surge Mentaschi, Lorenzo Vousdoukas, Michalis Garcia-Sanchez, Guillermo Montblanc, Tomas Fernandez Roland, Aron Voukouvalas, Evangelos Federico, Ivan Abdolali, Ali Zhang, Yinglong J. Feyen, Luc Atmospheric and Oceanic Physics Accurate information on waves and storm surges is essential to understand coastal hazards that are expected to increase in view of global warming and rising sea levels. Despite the recent advancement in development and application of large-scale coastal models, nearshore processes are still not sufficiently resolved due to coarse resolutions, transferring errors to coastal risk assessments and other large-scale applications. Here we developed a 50-year hindcast of waves and storm surges on an unstructured mesh of >650,000 nodes with an unprecedented resolution of 2-4 km at the global coast. Our modelling system is based on the circulation model SCHISM that is fully coupled with the WWM-V (WindWaveModel) and is forced by surface winds, pressure, and ice coverage from the ERA5 reanalysis. Results are compared with observations from satellite altimeters, tidal gauges and buoys, and show good skill for both Sea Surface Height (SSH) and Significant Wave Height (Hs), and a much-improved ability to reproduce the nearshore dynamics compared with previous, lower-resolution studies. Besides SSH, the modelling system also produces a range of other wave-related fields at each node of the mesh with a time step of 3 hours, including the spectral parameters of the first three largest energy peaks. This dataset offers the potential for more accurate global-scale applications on coastal hazard and risk |
| title | A global unstructured, coupled, high-resolution hindcast of waves and storm surge |
| topic | Atmospheric and Oceanic Physics |
| url | https://arxiv.org/abs/2306.16337 |