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1 May 2017 Evaluation of Different Wind Fields for Storm Surge Modeling in the Persian Gulf
Naghmeh Afshar-Kaveh, Abbas Ghaheri, Vahid Chegini, Amir Etemad-Shahidi, Mostafa Nazarali
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Abstract

Afshar-Kaveh, N.; Ghaheri, A.; Chegini, V.; Etemad-Shahidi, A., and Nazarali, M., 2017. Evaluation of different wind fields for storm surge modeling in the Persian Gulf.

With the increasing demand for accurate storm-surge predictions in coastal regions, there is an urgent need to select the most accurate wind field product to use in hydrodynamic prediction models. In this study, the responses of a coastal and ocean circulation model to four wind products, QuikSCAT, European Center of Middle-Range Weather Forecasting (ECMWF) ERA-Interim, Global Forecast System (GFS), and Cross-Calibrated Multi-Platform (CCMP), were evaluated. Simulation of water-level fluctuation with the mentioned wind forcings were compared with tide-gauge observations in the northern part of the Persian Gulf. The results show that using the GFS wind field, which is a global numerical weather prediction model, produces better results compared with using other wind datasets. Although the result shows competitive improvement of the storm-surge prediction between the GFS and the CCMP forced model, the former exceeds the results almost in all stations. The correlation coefficient of the GFS-forced model for Kangan tide-gauge station is 0.80 compared with those of QuikSCAT, ECMWF, and CCMP, which are 0.64, 0.73, and 0.79, respectively.

©Coastal Education and Research Foundation, Inc. 2017
Naghmeh Afshar-Kaveh, Abbas Ghaheri, Vahid Chegini, Amir Etemad-Shahidi, and Mostafa Nazarali "Evaluation of Different Wind Fields for Storm Surge Modeling in the Persian Gulf," Journal of Coastal Research 33(3), 596-606, (1 May 2017). https://doi.org/10.2112/JCOASTRES-D-15-00202.1
Received: 19 October 2015; Accepted: 11 April 2016; Published: 1 May 2017
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