Sea surface temperature (SST) prediction using fourier analysis in the Caspian Sea
Temperature is one of the fundamental parameters in physical oceanography and study of marine processes. The variation of spatial and local of Sea Surface Temperature (SST) plays an important role on climate change, life of fish, ocean currents, salinity and the other characteristics of seas and lakes. The purpose of this research was to predict SST in the Caspian Sea. The data on the Caspian Sea surface temperature that have been measured with Aqua satellite from MODIS sensor have been collected from 2003 to 2007. This data was analyzed by Fourier series method. Using Fourier analysis Fourier coefficients were calculated and temperature was predicted for future years. Average SST has been calculated for 24 selected stations in three different regions of Caspian Sea. The pattern of SST in different time’s for Caspian Sea during 2003-2007 was identified. The result of spectral time series showed that temperature variation in different times have a similar pattern. In all stations spectral frequency have a 12 month periodic pattern.
| Main Authors: | , , |
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| Format: | article biblioteca |
| Language: | Persian |
| Published: |
2016
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| Subjects: | Ecology, Iran, Caspian Sea, Sea Surface Temperature, SST, Fourier analysis, Spectral Analysis, Parameters, Oceanography, Marine, |
| Online Access: | http://hdl.handle.net/1834/39379 |
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| Summary: | Temperature is one of the fundamental parameters in physical oceanography and study of marine processes. The variation of spatial and local of Sea Surface Temperature (SST) plays an important role on climate change, life of fish, ocean currents, salinity and the other characteristics of seas and lakes. The purpose of this research was to predict SST in the Caspian Sea. The data on the Caspian Sea surface temperature that have been measured with Aqua satellite from MODIS sensor have been collected from 2003 to 2007. This data was analyzed by Fourier series method. Using Fourier analysis Fourier coefficients were calculated and temperature was predicted for future years. Average SST has been calculated for 24 selected stations in three different regions of Caspian Sea. The pattern of SST in different time’s for Caspian Sea during 2003-2007 was identified. The result of spectral time series showed that temperature variation in different times have a similar pattern. In all stations spectral frequency have a 12 month periodic pattern. |
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