Assimilation of Different SST Datasets to a Coastal Ocean Modeling System in the Yellow and East China Sea.
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| Title: | Assimilation of Different SST Datasets to a Coastal Ocean Modeling System in the Yellow and East China Sea. |
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| Authors: | Kwon, Kyungman1, Choi, Byoung-Ju2 bchoi@jnu.ac.kr, Lee, Sang-Ho1 |
| Source: | Journal of Coastal Research. 2018 Special Issue 85, Vol. 85, p1041-1045. 5p. 3 Charts, 5 Graphs. |
| Subjects: | Territorial waters, Mathematical models of oceanography, Ocean temperature, Hydrographic surveying, Standard deviations, Computer simulation |
| Abstract: | ABSTRACT Kwon, K.; Choi, B.-J., and Lee, S.-H., 2018. Assimilation of Different SST Datasets to a Coastal Ocean Modeling System in the Yellow and East China Sea. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 1041–1045. Coconut Creek (Florida), ISSN 0749-0208. Global gridded gap-free sea surface temperature (SST) datasets were quantitatively evaluated using independent insitu datasets in the Yellow and East China Sea from September 2011 to February 2012. The assimilation effect of the four different SST datasets on a regional ocean modeling system was examined. The SST from the gridded SST datasets was compared with two ocean buoy SST data and bi-monthly routine hydrographic observation data in the Yellow Sea (YS). The root-mean-square differences (RMSDs) of the OISST, MGDSST, OSTIA, and MWIR SST datasets relative to the in-situ SST were 0.64, 0.53, 0.62, and 0.91°C, respectively. The RMSDs of SST were higher than 1°C for all datasets in the southeastern corner of the YS. Ocean circulation was simulated with a regional ocean model, and the SST data from the four SST datasets were assimilated. Assimilation of the SST to the ocean model improved the ocean current as well as temperature distribution. The daily mean simulated temperature was compared to the observed SST and vertical profiles of the temperature at the ocean buoys and hydrographic observation stations. After the assimilation of OISST, MGDSST, OSTIA and MWIR datasets, RMSDs of the simulated SST were 0.78, 0.92, 0.66 and 0.86°C, respectively, at the buoy stations. The RMSDs of the simulated subsurface temperature were 1.60, 1.67, 1.56 and 1.70°C, respectively, at the hydrographic observation stations. The simulated SSTs from the model with assimilation of the OSTIA and OISST datasets had relatively smaller RMSDs. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 131163128 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assimilation of Different SST Datasets to a Coastal Ocean Modeling System in the Yellow and East China Sea. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kwon%2C+Kyungman%22">Kwon, Kyungman</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Choi%2C+Byoung-Ju%22">Choi, Byoung-Ju</searchLink><relatesTo>2</relatesTo><i> bchoi@jnu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Sang-Ho%22">Lee, Sang-Ho</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Coastal+Research%22">Journal of Coastal Research</searchLink>. 2018 Special Issue 85, Vol. 85, p1041-1045. 5p. 3 Charts, 5 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Territorial+waters%22">Territorial waters</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models+of+oceanography%22">Mathematical models of oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+temperature%22">Ocean temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrographic+surveying%22">Hydrographic surveying</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: ABSTRACT Kwon, K.; Choi, B.-J., and Lee, S.-H., 2018. Assimilation of Different SST Datasets to a Coastal Ocean Modeling System in the Yellow and East China Sea. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 1041–1045. Coconut Creek (Florida), ISSN 0749-0208. Global gridded gap-free sea surface temperature (SST) datasets were quantitatively evaluated using independent insitu datasets in the Yellow and East China Sea from September 2011 to February 2012. The assimilation effect of the four different SST datasets on a regional ocean modeling system was examined. The SST from the gridded SST datasets was compared with two ocean buoy SST data and bi-monthly routine hydrographic observation data in the Yellow Sea (YS). The root-mean-square differences (RMSDs) of the OISST, MGDSST, OSTIA, and MWIR SST datasets relative to the in-situ SST were 0.64, 0.53, 0.62, and 0.91°C, respectively. The RMSDs of SST were higher than 1°C for all datasets in the southeastern corner of the YS. Ocean circulation was simulated with a regional ocean model, and the SST data from the four SST datasets were assimilated. Assimilation of the SST to the ocean model improved the ocean current as well as temperature distribution. The daily mean simulated temperature was compared to the observed SST and vertical profiles of the temperature at the ocean buoys and hydrographic observation stations. After the assimilation of OISST, MGDSST, OSTIA and MWIR datasets, RMSDs of the simulated SST were 0.78, 0.92, 0.66 and 0.86°C, respectively, at the buoy stations. The RMSDs of the simulated subsurface temperature were 1.60, 1.67, 1.56 and 1.70°C, respectively, at the hydrographic observation stations. The simulated SSTs from the model with assimilation of the OSTIA and OISST datasets had relatively smaller RMSDs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2112/SI85-209.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1041 Subjects: – SubjectFull: Territorial waters Type: general – SubjectFull: Mathematical models of oceanography Type: general – SubjectFull: Ocean temperature Type: general – SubjectFull: Hydrographic surveying Type: general – SubjectFull: Standard deviations Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: Assimilation of Different SST Datasets to a Coastal Ocean Modeling System in the Yellow and East China Sea. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kwon, Kyungman – PersonEntity: Name: NameFull: Choi, Byoung-Ju – PersonEntity: Name: NameFull: Lee, Sang-Ho IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 05 Text: 2018 Special Issue 85 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 07490208 Numbering: – Type: volume Value: 85 Titles: – TitleFull: Journal of Coastal Research Type: main |
| ResultId | 1 |
