Discrepancies on Storm Surge Predictions by Parametric Wind Model and Numerical Weather Prediction Model in a Semi-Enclosed Bay: Case Study of Typhoon Haiyan
This study explores the discrepancies of storm surge predictions driven by the parametric wind model and the numerical weather prediction model. Serving as a leading-order storm wind predictive tool, the parametric Holland wind model provides the frictional-free, steady-state, and geostrophic-balancing solutions. On the other hand, WRF-ARW (Weather Research and Forecasting-Advanced Research WRF) provides the results solving the 3D time-integrated, compressible, and non-hydrostatic Euler equations, but time-consuming. To shed light on their discrepancies for storm surge predictions, the storm s... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2020 |
Reihe/Periodikum: | Water, Vol 12, Iss 3326, p 3326 (2020) |
Verlag/Hrsg.: |
MDPI AG
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Schlagwörter: | Holland wind model / WRF-ARW / linear shallow water equation / 2013 Typhoon Haiyan / Hydraulic engineering / TC1-978 / Water supply for domestic and industrial purposes / TD201-500 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28662857 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3390/w12123326 |