VARIABILITY OF SPATIO-TEMPORAL SEA SURFACE TEMPERATURE IN NORTHERN WATERS OF CENTRAL JAVA, INDONESIA

Ismunarti, Dwi Haryo and Zainuri, Muhammad and Sugianto, Denny Nugroho and Saputra, Suradi W (2018) VARIABILITY OF SPATIO-TEMPORAL SEA SURFACE TEMPERATURE IN NORTHERN WATERS OF CENTRAL JAVA, INDONESIA. International Journal of Civil Engineering and Technology, 9 (10). pp. 2098-2111. ISSN 0976-6316

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Official URL: https://www.iaeme.com/ijciet/index.asp

Abstract

The Empirical Orthogonal Function (EOF) methodis widely used in various studies for many different disciplines, and one application of this method is for oceanography research. EOF is used to obtain the dominant mode of the data and to evolve in time and space. This method can reduce a large number of the variable from original data to a few variables without substantially reducing the original information of data. The purpose of this study is to examine the EOF method for reducing sea surface temperature (SST) data. Subsequently, by analyzing the dominant pattern of temporal and spatial of SST. The analysis of SST was conducted on The North Waters of Central Java for 180 months ( January 2003 – December 2017). This analysis produced several principal components that were called EOF mode. For each EOF, there is a variable which is contained by two information the pixel data and the eigenvector. The pixel data described spatial variability and eigenvector which presented the time series variability. Basic selection of EOF mode depends on the percentage of eigenvalues. The percentage of contribution will give the selection rules of EOF mode that retains most of the information from the original data. This analysis resulted from the three dominant modes with the largest variances in several EOF. The modes explained 30.6 %, 27.1% and 18.9% of the total variance for the first, second and third mode, respectively. Therefore, the first mode represented the majority data.

Item Type:Article
Uncontrolled Keywords:Sea Surface Temperature (SST), the north waters of Central Java, Empirical Orthogonal Function
Subjects:S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions:Faculty of Fisheries and Marine Sciences > Department of Marine Science
ID Code:67426
Deposited By:Bayu Munandar
Deposited On:02 Dec 2018 15:02
Last Modified:26 Jul 2019 15:01

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