Inter-model analysis of tsunami-induced coastal currents
| Autor: | Rozita Kian, Stephan T. Grilli, Diego Arcas, Cipriano Escalante, Ahmet Cevdet Yalciner, Troy W. Heitmann, Kwok Fai Cheung, James T. Kirby, C. Gabriel David, Volker Roeber, Deniz Velioglu, R. I. Wilson, Luis Montoya, Jeremy D. Bricker, Patrick J. Lynett, Juan Horrillo, Yefei Bai, Hong Kie Thio, Alyssa Pampell-Manis, Manuel J. Castro, José Manuel González-Vida, Fengyan Shi, Michael Shelby, Utku Kânoğlu, Jorge Macías, Babak Tehranirad, Betul Aytore, Andrey Zaytsev, Dmitry Nicolsky, Yinglong J. Zhang, Elena Tolkova, Gozde Guney Dogan, Yong Sung Park, Yoshiki Yamazaki, Kara Gately, Naeimeh Sharghivand, Wenwen Li, Sergio Ortega |
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| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Ensemble forecasting Meteorology Hazard mitigation Numerical modeling Benchmarking Hazard analysis 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology Oceanography 01 natural sciences Tsunami hazard Deterministic simulation Computer Science (miscellaneous) Mean flow 0105 earth and related environmental sciences |
| Zdroj: | Ocean Modelling. 114:14-32 |
| ISSN: | 1463-5003 |
| Popis: | To help produce accurate and consistent maritime hazard products, the National Tsunami Hazard Mitigation Program organized a benchmarking workshop to evaluate the numerical modeling of tsunami currents. Thirteen teams of international researchers, using a set of tsunami models currently utilized for hazard mitigation studies, presented results for a series of benchmarking problems; these results are summarized in this paper. Comparisons focus on physical situations where the currents are shear and separation driven, and are thus de-coupled from the incident tsunami waveform. In general, we find that models of increasing physical complexity provide better accuracy, and that low-order three-dimensional models are superior to high-order two-dimensional models. Inside separation zones and in areas strongly affected by eddies, the magnitude of both model-data errors and inter-model differences can be the same as the magnitude of the mean flow. Thus, we make arguments for the need of an ensemble modeling approach for areas affected by large-scale turbulent eddies, where deterministic simulation may be misleading. As a result of the analyses presented herein, we expect that tsunami modelers now have a better awareness of their ability to accurately capture the physics of tsunami currents, and therefore a better understanding of how to use these simulation tools for hazard assessment and mitigation efforts. (C) 2017 Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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