Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Recent and future trends in sea surface temperature across the persian gulf and gulf of Oman

Noori, Roohollah LU ; Tian, Fuqiang ; Berndtsson, Ronny LU orcid ; Abbasi, Mahmud Reza ; Naseh, Mohammadreza Vesali ; Modabberi, Anahita ; Soltani, Ali and Kløve, Bjørn LU (2019) In PLoS ONE 14(2).
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... (More)

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 revealed the highest warming during summer in the entire PG&GO by 2100 and the lowest warming during fall and winter in the Persian Gulf and Gulf of Oman, respectively. The model indicated that monthly SST in the Persian Gulf may increase by up to 4.3 °C in August by the turn of the century. Similarly, mean annual changes in SST across the PG&GO may increase by about 2.2 °C by 2100.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
14
issue
2
article number
e0212790
publisher
Public Library of Science (PLoS)
external identifiers
  • scopus:85062339633
  • pmid:30817766
ISSN
1932-6203
DOI
10.1371/journal.pone.0212790
language
English
LU publication?
yes
id
2303d33d-406d-4ce1-bcfb-30ec5dddf157
date added to LUP
2019-03-13 13:34:55
date last changed
2024-04-16 01:55:12
@article{2303d33d-406d-4ce1-bcfb-30ec5dddf157,
  abstract     = {{<p>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&amp;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&amp;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 revealed the highest warming during summer in the entire PG&amp;GO by 2100 and the lowest warming during fall and winter in the Persian Gulf and Gulf of Oman, respectively. The model indicated that monthly SST in the Persian Gulf may increase by up to 4.3 °C in August by the turn of the century. Similarly, mean annual changes in SST across the PG&amp;GO may increase by about 2.2 °C by 2100.</p>}},
  author       = {{Noori, Roohollah and Tian, Fuqiang and Berndtsson, Ronny and Abbasi, Mahmud Reza and Naseh, Mohammadreza Vesali and Modabberi, Anahita and Soltani, Ali and Kløve, Bjørn}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{2}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{Recent and future trends in sea surface temperature across the persian gulf and gulf of Oman}},
  url          = {{http://dx.doi.org/10.1371/journal.pone.0212790}},
  doi          = {{10.1371/journal.pone.0212790}},
  volume       = {{14}},
  year         = {{2019}},
}