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Volume 12, Issue 24 (1-2017)                   Marine Engineering 2017, 12(24): 115-125 | Back to browse issues page

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Moazzami H, Siadatmousavi S M, Mazaheri S. Data Assimilation for Wave Data in Persian Gulf Using WAVEWATCH-III Spectral Model . Marine Engineering 2017; 12 (24) :115-125
URL: http://marine-eng.ir/article-1-470-en.html
Data Assimilation for Wave Data in Persian Gulf Using WAVEWATCH-III Spectral Model
Hamidreza Moazzami * 1, Seyed Mostafa Siadatmousavi1 , Said Mazaheri2
1- Iran University of Science and Technology
2- Iranian National Institute for Oceanography and Atmospheric Science
Abstract:   (4722 Views)

The major problems in modeling of different oceanographic and meteorological parameters are limitations in numerical methods and human incomplete knowledge in physical processes involved. As a result, significant differences between the results of these models and in situ observations of these parameters might exist. One of the powerful solutions for decreasing the forecast errors in the models is to use data assimilation technique. In this study the optimal interpolation data assimilation method is employed which is based on statistical rules. Moreover, the quick Canadian method is used to optimize the data assimilation method used in model. Model assessment is performed by comparison between running wave model with and without using data assimilation and SAR wave data in Persian Gulf. It shows that using data assimilation in WAVEWATCH-III model reduces the error in wave height predictions significantly.

Keywords: Data Assimilation, WAVEWATCH-III, optimal interpolation, SAR
Full-Text [PDF 914 kb]   (2209 Downloads)    
Type of Study: Research Paper | Subject: Offshore Hydrodynamic
Received: 2016/02/2 | Accepted: 2016/11/27
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