Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea

Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was...

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Main Authors: Ali Bahri, Younes Khosravi
Format: Article
Language:fas
Published: Kharazmi University 2020-09-01
Series:تحقیقات کاربردی علوم جغرافیایی
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Online Access:http://jgs.khu.ac.ir/article-1-3148-en.pdf
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author Ali Bahri
Younes Khosravi
author_facet Ali Bahri
Younes Khosravi
author_sort Ali Bahri
collection DOAJ
description Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine the slope of the changes. Using these methods, it was found that during January, February and December, there was no significant ascending trend in SST values, and only parts of the Strait of Hormuz had a significance descending trend. On the other hand, there was no significant descending trend in March, and the ascending trend in the SST was seen in the southern part of the Oman Sea. Other months of the year had a significant ascending and descending trend in different parts of the Oman Sea, which October had the highest ascending trend. In the annual time scale, it was also found that the southern parts of the Oman Sea had ascending trend in the SST value and Western parts had a descending trend. The occurred changes in the high amounts (positive and negative) were corresponding to the significance ascending and descending trends. The results of Global Moran for the annual time scale indicated an ascending trend of autocorrelation values and cluster patterns of SST data over time, using the local Moran analysis, it was found that warm clusters of SST are increasing in the Oman Sea, and on the other hand, cold clusters of this parameter have been reduced over 30 years. According to the results of trend and spatial autocorrelation analysis, it has been found that SST have been increasing in different parts of the Oman Sea during 30 years, so climate change and global warming may have affected this region.
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series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-e7f70cf632e740719b0402a2c98f586e2025-01-31T17:27:15ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382020-09-012058199217Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman SeaAli Bahri0Younes Khosravi1 University of Zanjan University of Zanjan Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine the slope of the changes. Using these methods, it was found that during January, February and December, there was no significant ascending trend in SST values, and only parts of the Strait of Hormuz had a significance descending trend. On the other hand, there was no significant descending trend in March, and the ascending trend in the SST was seen in the southern part of the Oman Sea. Other months of the year had a significant ascending and descending trend in different parts of the Oman Sea, which October had the highest ascending trend. In the annual time scale, it was also found that the southern parts of the Oman Sea had ascending trend in the SST value and Western parts had a descending trend. The occurred changes in the high amounts (positive and negative) were corresponding to the significance ascending and descending trends. The results of Global Moran for the annual time scale indicated an ascending trend of autocorrelation values and cluster patterns of SST data over time, using the local Moran analysis, it was found that warm clusters of SST are increasing in the Oman Sea, and on the other hand, cold clusters of this parameter have been reduced over 30 years. According to the results of trend and spatial autocorrelation analysis, it has been found that SST have been increasing in different parts of the Oman Sea during 30 years, so climate change and global warming may have affected this region.http://jgs.khu.ac.ir/article-1-3148-en.pdfsea surface temperature (sst)trend analysismann-kendall testspatial autocorrelation analysisoman sea
spellingShingle Ali Bahri
Younes Khosravi
Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
تحقیقات کاربردی علوم جغرافیایی
sea surface temperature (sst)
trend analysis
mann-kendall test
spatial autocorrelation analysis
oman sea
title Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
title_full Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
title_fullStr Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
title_full_unstemmed Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
title_short Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
title_sort investigation of long term trend of spatio temporal changes of sea surface temperature in oman sea
topic sea surface temperature (sst)
trend analysis
mann-kendall test
spatial autocorrelation analysis
oman sea
url http://jgs.khu.ac.ir/article-1-3148-en.pdf
work_keys_str_mv AT alibahri investigationoflongtermtrendofspatiotemporalchangesofseasurfacetemperatureinomansea
AT youneskhosravi investigationoflongtermtrendofspatiotemporalchangesofseasurfacetemperatureinomansea