Showing 3 results for Wave Modeling
Majid Jandaghi Alaee, Aliasghar Golshani, Ali Nakhaee, Soheila Taebi, Vahid Chegini,
Volume 1, Issue 2 (3-2005)
Abstract
The significant effect of waves on coastal and marine activities urges the precise identification of wave characteristics using field measurements, theoretical studies, physical modeling or numerical simulations. In order to study thoroughly the wave climate in the Caspian Sea, a wave modeling and hindcast project was performed by Iranian National Center for Oceanography. In this study, one of the latest versions of numerical wave models (3rd generation) was employed for long-term simulation of waves in the Caspian Sea using wind data. The wind field was obtained from ECMWF global operational model after a few local modifications were made. For calibrating the model, in-situ measurements and available satellite data were used. Extreme value analysis was the next stage in which for different return periods the wave characteristics were calculated. Finally, a user-friendly software was developed with the aim of presenting the results of the project.
Soheila Taebi , Aliasghar Golshani, Vahid Chegini,
Volume 4, Issue 7 (6-2008)
Abstract
This article describes the 11-year wave simulation (1992-2002) in the Persian Gulf and the Gulf of Oman using the input data derived from European Center for Medium-Range Weather Forecasts (ECMWF). The ECMWF 10 meter wind field and spectral wave boundary condition at 18 ْN degree are input into one of the latest versions of numerical wave models (3rd generation) after a few local modifications. Tropical cyclones during the last 30 years in the northern Indian Ocean which affect the Gulf of Oman are regenerated and wave simulation for individual cyclones is carried out. Open boundary of continuous hindcast is also modified in cyclone periods. In-situ and satellite wind and wave data sets are used to evaluate the accuracy of input wind and simulated wave fields. Extreme Value Analysis (EVA) is the next taken stage in which the wave characteristics were calculated for different return periods. Similar analysis is performed on the directional data to find out significance of storms in each direction. Finally, a user-friendly engineering and management tool is developed and verified.
Ali Asghar Golshani,
Volume 6, Issue 12 (3-2011)
Abstract
The goal of this study was to simulate the wave characteristics in the south of Persian Gulf over a 60 year period. Wind data from the study area including offshore measurement, satellite observation and numerical atmospheric models were collated and analyzed. The modified NCEP/NCAR wind field was chosen as input to the SWAN model which has the longest duration among wind data sources. SWAN model was run in stationary mode for different cases of wind speed and direction and lookup tables were made for each wave parameters in each point of interest. A 60 year time series of wave characteristics were made using these lookup tables. Having such long time series enables us to calculate the wave characteristics with larger return periods. Execution time was drastically decreased using this method.
