Spatial-temporal characteristics of temperature in Indonesian Sea based on a high-resolution reanalysis data
Influenced by both the Pacific and Indian Oceans, the temperature field in the Indonesian Sea are complicated. In order to reveal the spatial-temporal variability, the surface, thermocline and intermediate layers of the temperature field are studied based on the global ocean reanalysis data of Coper...
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description | Influenced by both the Pacific and Indian Oceans, the temperature field in the Indonesian Sea are complicated. In order to reveal the spatial-temporal variability, the surface, thermocline and intermediate layers of the temperature field are studied based on the global ocean reanalysis data of Copernicus Marine Environment Monitoring Service (CMEMS) from 1993 to 2019 and the Empirical Orthogonal Function (EOF) analysis method. The results show that there is a warming trend of 1.36×10
−2
°C /year in the surface layer. The first two modes both show reverse changes close to the Pacific and Indian Oceans. The correlation coefficients between the first and second modal time coefficients and the Niño 3.4 index are 0.62 and 0.48, respectively. And the correlation coefficient between the second modal time coefficient and the ITF inflow is -0.45. In the thermocline, there is a warmer trend, which is 4.78×10
−2
°C /year. The correlation index of the first and second modal time coefficient with the Niño 3.4 and DMI indices are 0.87 and 0.43, respectively. The correlation index between the first and second modal time coefficient and the ITF inflow are -0.60 and 0.38, respectively. In the intermediate layer, the warming trend is 2.18×10
−2
°C /year. From 1993 to 1999, from 2000 to 2016 and from 2017 to 2019, the Sulu Sea and northern Halmahera Sea experienced three periods of warming, cooling and warming, respectively. The study is helpful for further understanding the variation of the temperature field in the Indonesian Sea. |
doi_str_mv | 10.1088/1742-6596/2718/1/012041 |
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−2
°C /year in the surface layer. The first two modes both show reverse changes close to the Pacific and Indian Oceans. The correlation coefficients between the first and second modal time coefficients and the Niño 3.4 index are 0.62 and 0.48, respectively. And the correlation coefficient between the second modal time coefficient and the ITF inflow is -0.45. In the thermocline, there is a warmer trend, which is 4.78×10
−2
°C /year. The correlation index of the first and second modal time coefficient with the Niño 3.4 and DMI indices are 0.87 and 0.43, respectively. The correlation index between the first and second modal time coefficient and the ITF inflow are -0.60 and 0.38, respectively. In the intermediate layer, the warming trend is 2.18×10
−2
°C /year. From 1993 to 1999, from 2000 to 2016 and from 2017 to 2019, the Sulu Sea and northern Halmahera Sea experienced three periods of warming, cooling and warming, respectively. The study is helpful for further understanding the variation of the temperature field in the Indonesian Sea.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/2718/1/012041</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Correlation coefficients ; Empirical analysis ; Inflow ; Marine environment ; Oceans ; Orthogonal functions ; Surface layers ; Temperature distribution</subject><ispartof>Journal of physics. Conference series, 2024-03, Vol.2718 (1), p.12041</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2741-2d6146a7fc7af4d6ac8d10ac1646ded6f28b5eb63c782372a434bc975328602d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/2718/1/012041/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27923,27924,38867,38889,53839,53866</link.rule.ids></links><search><creatorcontrib>Li, Aojie</creatorcontrib><creatorcontrib>Zhang, Yongchui</creatorcontrib><creatorcontrib>Hong, Mei</creatorcontrib><creatorcontrib>Wang, Ning</creatorcontrib><creatorcontrib>Hu, Wangjiang</creatorcontrib><creatorcontrib>Yan, Hengqian</creatorcontrib><creatorcontrib>Chen, Zhentao</creatorcontrib><title>Spatial-temporal characteristics of temperature in Indonesian Sea based on a high-resolution reanalysis data</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>Influenced by both the Pacific and Indian Oceans, the temperature field in the Indonesian Sea are complicated. In order to reveal the spatial-temporal variability, the surface, thermocline and intermediate layers of the temperature field are studied based on the global ocean reanalysis data of Copernicus Marine Environment Monitoring Service (CMEMS) from 1993 to 2019 and the Empirical Orthogonal Function (EOF) analysis method. The results show that there is a warming trend of 1.36×10
−2
°C /year in the surface layer. The first two modes both show reverse changes close to the Pacific and Indian Oceans. The correlation coefficients between the first and second modal time coefficients and the Niño 3.4 index are 0.62 and 0.48, respectively. And the correlation coefficient between the second modal time coefficient and the ITF inflow is -0.45. In the thermocline, there is a warmer trend, which is 4.78×10
−2
°C /year. The correlation index of the first and second modal time coefficient with the Niño 3.4 and DMI indices are 0.87 and 0.43, respectively. The correlation index between the first and second modal time coefficient and the ITF inflow are -0.60 and 0.38, respectively. In the intermediate layer, the warming trend is 2.18×10
−2
°C /year. From 1993 to 1999, from 2000 to 2016 and from 2017 to 2019, the Sulu Sea and northern Halmahera Sea experienced three periods of warming, cooling and warming, respectively. The study is helpful for further understanding the variation of the temperature field in the Indonesian Sea.</description><subject>Correlation coefficients</subject><subject>Empirical analysis</subject><subject>Inflow</subject><subject>Marine environment</subject><subject>Oceans</subject><subject>Orthogonal functions</subject><subject>Surface layers</subject><subject>Temperature distribution</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkFtLwzAUgIsoOKe_wYBvQl2Spkn2KMPLZKAwfQ5nSeoyuqYm6cP-vS0VRRDMS3JyvnPhy7JLgm8IlnJGBKM5L-d8RgXpwxkmFDNylE2-M8ffbylPs7MYdxgX_RGTrF63kBzUebL71geokd5CAJ1scDE5HZGv0JCzAVIXLHINWjbGNzY6aNDaAtpAtAb5BgHauvdtHmz0dZdc_xMsNFAfoovIQILz7KSCOtqLr3uavd3fvS4e89Xzw3Jxu8o1FYzk1HDCOIhKC6iY4aClIRg04Ywba3hF5aa0G15oIWkhKLCCbfRclAWVHFNTTLOrsW8b_EdnY1I734V-k6jovBSClbKQPSVGSgcfY7CVaoPbQzgogtWgVg3S1CBQDWoVUaPavvJ6rHS-_Wn99LJY_wZVa6oeLv6A_xvxCf74ieI</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Li, Aojie</creator><creator>Zhang, Yongchui</creator><creator>Hong, Mei</creator><creator>Wang, Ning</creator><creator>Hu, Wangjiang</creator><creator>Yan, Hengqian</creator><creator>Chen, Zhentao</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20240301</creationdate><title>Spatial-temporal characteristics of temperature in Indonesian Sea based on a high-resolution reanalysis data</title><author>Li, Aojie ; Zhang, Yongchui ; Hong, Mei ; Wang, Ning ; Hu, Wangjiang ; Yan, Hengqian ; Chen, Zhentao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2741-2d6146a7fc7af4d6ac8d10ac1646ded6f28b5eb63c782372a434bc975328602d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Correlation coefficients</topic><topic>Empirical analysis</topic><topic>Inflow</topic><topic>Marine environment</topic><topic>Oceans</topic><topic>Orthogonal functions</topic><topic>Surface layers</topic><topic>Temperature distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Aojie</creatorcontrib><creatorcontrib>Zhang, Yongchui</creatorcontrib><creatorcontrib>Hong, Mei</creatorcontrib><creatorcontrib>Wang, Ning</creatorcontrib><creatorcontrib>Hu, Wangjiang</creatorcontrib><creatorcontrib>Yan, Hengqian</creatorcontrib><creatorcontrib>Chen, Zhentao</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Aojie</au><au>Zhang, Yongchui</au><au>Hong, Mei</au><au>Wang, Ning</au><au>Hu, Wangjiang</au><au>Yan, Hengqian</au><au>Chen, Zhentao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial-temporal characteristics of temperature in Indonesian Sea based on a high-resolution reanalysis data</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2024-03-01</date><risdate>2024</risdate><volume>2718</volume><issue>1</issue><spage>12041</spage><pages>12041-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>Influenced by both the Pacific and Indian Oceans, the temperature field in the Indonesian Sea are complicated. In order to reveal the spatial-temporal variability, the surface, thermocline and intermediate layers of the temperature field are studied based on the global ocean reanalysis data of Copernicus Marine Environment Monitoring Service (CMEMS) from 1993 to 2019 and the Empirical Orthogonal Function (EOF) analysis method. The results show that there is a warming trend of 1.36×10
−2
°C /year in the surface layer. The first two modes both show reverse changes close to the Pacific and Indian Oceans. The correlation coefficients between the first and second modal time coefficients and the Niño 3.4 index are 0.62 and 0.48, respectively. And the correlation coefficient between the second modal time coefficient and the ITF inflow is -0.45. In the thermocline, there is a warmer trend, which is 4.78×10
−2
°C /year. The correlation index of the first and second modal time coefficient with the Niño 3.4 and DMI indices are 0.87 and 0.43, respectively. The correlation index between the first and second modal time coefficient and the ITF inflow are -0.60 and 0.38, respectively. In the intermediate layer, the warming trend is 2.18×10
−2
°C /year. From 1993 to 1999, from 2000 to 2016 and from 2017 to 2019, the Sulu Sea and northern Halmahera Sea experienced three periods of warming, cooling and warming, respectively. The study is helpful for further understanding the variation of the temperature field in the Indonesian Sea.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/2718/1/012041</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Correlation coefficients Empirical analysis Inflow Marine environment Oceans Orthogonal functions Surface layers Temperature distribution |
title | Spatial-temporal characteristics of temperature in Indonesian Sea based on a high-resolution reanalysis data |
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