OPTIMIZATION OF THE WEIGHT MATRIX IN DATA ASSIMILATION FOR WAVE DATA IN PERSIAN GULF USING WAVEWATCH-III MODEL

Decreasing the errors of calculating the meteorological and oceanographic parameters is of great importance. One of the efficient methods to do this is Data Assimilation. In this method, observational data and statistical assumptions are applied to make the calculation of the parameters more precise than that of the mode which model runs without Data Assimilation. One of the crucial phenomena in oceanography is wave. Data Assimilation have been studied extensively in meteorology but it is still a new subject in wave modeling; especially in Iranian waters. Furthermore, the wave model used in limited available researches on application of Data Assimilation in wave modeling have been done using SWAN and WAM models, and not using WAVEWATCH-III. Since this model is very efficient in oceanic scales, in this research the original code of WAVEWATCH-III was enhanced to include Data Assimilation routines effectively, and the enhanced model was employed in in Persian Gulf.