Recent and future trends in sea surface temperature across the Persian Gulf and Gulf of Oman

PloS One
Roohollah NooriBjørn Kløve

Abstract

Climate change's effect on sea surface temperature (SST) at the regional scale vary due to driving forces that include potential changes in ocean circulation and internal climate variability, ice cover, thermal stability, and ocean mixing layer depth. For a better understanding of future effects, it is important to analyze historical changes in SST at regional scales and test prediction techniques. In this study, the variation in SST across the Persian Gulf and Gulf of Oman (PG&GO) during the past four decades was analyzed and predicted to the end of 21st century using a proper orthogonal decomposition (POD) model. As input, daily optimum interpolation SST anomaly (DOISSTA) data, available from the National Oceanic and Atmospheric Administration of the United States, were used. Descriptive analyses and POD results demonstrated a gradually increasing trend in DOISSTA in the PG&GO over the past four decades. The spatial distribution of DOISSTA indicated: (1) that shallow parts of the Persian Gulf have experienced minimum and maximum values of DOISSTA and (2) high variability in DOISSTA in shallow parts of the Persian Gulf, including some parts of southern and northwestern coasts. Prediction of future SST using the POD model revea...Continue Reading

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Citations

May 30, 2020·PloS One·Edmo J D CamposGeorgenes Cavalcante
Mar 20, 2021·The Science of the Total Environment·D Fernández-NóvoaM Gómez-Gesteira
Apr 19, 2021·Marine Pollution Bulletin·Abolfazl SalehEhsan Abedi

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Software Mentioned

DOISSTA
MATLAB
DOISTA

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