Hawaii National Marine Renewable Energy Center

Wind Modeling as Input to Wave Forecasting

P.I.: Prof. Yi-Leng Chen, Department of Meteorology

Objective(s): To provide high-resolution wind data from advanced weather models as the input for the wave modeling and forecasting system developed by Prof. Kwok Fai Cheung.  The goal of the wind-wave modeling system is to identify time windows and locations around the Hawaiian Islands that are most favorable for the operation of wave power systems through hindcasting and forecasting protocols and methods.

Presently:  Prof. Chen has set up a high-resolution weather model wind forecast system using the WRF-ARW model (http://www.soest.hawaii.edu/MET/Faculty/wrf/arw/) which includes a 6-km resolution domain covering the entire State of Hawai’i; 1.5-km resolution domains for Oahu and Kauai; 3-km resolution domain for the island of Hawai’i (Big Island); and, a 2-km resolution domain covering both Maui and Oahu counties.  Prof. Chen has also set up the WRF-ARW model for hindcasting and for the development of a Wave Atlas.

Project: Improve the accuracy of high resolution ocean surface winds simulations over the Hawaiian Islands for the purpose of improved forecasting.  Generate long-term ocean surface wind data over the Hawaiian Islands through hindcasting.  The long-term ocean surface wind data generated from these models will be used by Prof. Cheung (see Wave Forecasting project) for the development of a Wave Atlas of the Hawaiian Islands.

This project was completed and incorporated into the 34-year wave hindcast report and database (Hawaii Wave Energy Resources from 34 Year Hindcast).

Prof. Yi-Leng Chen with a display of the wind forecast model used as input to the wave forecast model

Prof. Yi-Leng Chen with a display of the wind forecast model used as input to the wave forecast model

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