Journal of Marine Science and Technology

Journal of Marine Science and Technology

Sea Surface Temperature (SST) Prediction Using Fourier Analysis in the Caspian Sea

Document Type : Original Manuscript

Authors
Sahar j 1
Masoud t 2
a k 3
1 Islamic Azad University – Astara Branch
2 Depatrment of Physical Oceanography, Islamic Azad University –Tehran North Branch
3 Center of soil protection and watershed
10.22113/jmst.2016.12040
Abstract
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 have an important role on climate change , life of fish, ocean currents, amount of salinity and the other carectistics of seas and lakes. The purpose of this research has predicted of sea surface temperature in the Caspian Sea. So the data on the Caspian Sea surface temperature (SST) that have been measured with Aqua satellite from MODIS sensor have been collected from 2003 to 2007 .This data analyzed by Fourier series method. Using Fourier analysis calculated Fourier coefficients and temperature predict for future year. Also average of sea surface temperature in three portion of Caspian Sea by 24 selected stations has been calculated. The pattern of sea surface temperature in different times of whole Caspian Sea during 2003-2007 was identified. The result of spectral time series is shown that temperature variation in different times have a same pattern. So in all stations spectral frequency have a 12 month periodic pattern.
Keywords
Caspian Sea
Sea Surface Temperature (SST)
Fourier analysis
Spectral analysis

Subjects

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Journal of Marine Science and Technology
Volume 14, Issue 4
Winter 2016
Pages 84-97

  • Receive Date 21 May 2013
  • Revise Date 04 November 2014
  • Accept Date 20 December 2015
  • Publish Date 20 February 2016