Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient.
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| Title: | Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient. |
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| Authors: | Mayo, Talea1 talea@ices.utexas.edu, Butler, Troy2 troy.butler@ucdenver.edu, Dawson, Clint1 clint@ices.utexas.edu, Hoteit, Ibrahim3 ibrahim.hoteit@kaust.edu.sa |
| Source: | Ocean Modelling. Apr2014, Vol. 76, p43-58. 16p. |
| Subjects: | Ocean circulation, Mathematical models of oceanography, Parameter estimation, Coefficients (Statistics), Coasts, Square root, Kalman filtering |
| Abstract: | Highlights: [•] We estimate the Manning’s n friction coefficient in a coastal ocean model. [•] We use a square root ensemble Kalman filter for the parameter estimation. [•] Accurate estimation is dependent on the sensitivity of model output to the parameter. [•] We are able to recover a 1-D and 2-D field of Manning’s n values in most test cases. [Copyright &y& Elsevier] |
| Copyright of Ocean Modelling is the property of Elsevier B.V. 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 95227743 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mayo%2C+Talea%22">Mayo, Talea</searchLink><relatesTo>1</relatesTo><i> talea@ices.utexas.edu</i><br /><searchLink fieldCode="AR" term="%22Butler%2C+Troy%22">Butler, Troy</searchLink><relatesTo>2</relatesTo><i> troy.butler@ucdenver.edu</i><br /><searchLink fieldCode="AR" term="%22Dawson%2C+Clint%22">Dawson, Clint</searchLink><relatesTo>1</relatesTo><i> clint@ices.utexas.edu</i><br /><searchLink fieldCode="AR" term="%22Hoteit%2C+Ibrahim%22">Hoteit, Ibrahim</searchLink><relatesTo>3</relatesTo><i> ibrahim.hoteit@kaust.edu.sa</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ocean+Modelling%22">Ocean Modelling</searchLink>. Apr2014, Vol. 76, p43-58. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ocean+circulation%22">Ocean circulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models+of+oceanography%22">Mathematical models of oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Coefficients+%28Statistics%29%22">Coefficients (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Coasts%22">Coasts</searchLink><br /><searchLink fieldCode="DE" term="%22Square+root%22">Square root</searchLink><br /><searchLink fieldCode="DE" term="%22Kalman+filtering%22">Kalman filtering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: [•] We estimate the Manning’s n friction coefficient in a coastal ocean model. [•] We use a square root ensemble Kalman filter for the parameter estimation. [•] Accurate estimation is dependent on the sensitivity of model output to the parameter. [•] We are able to recover a 1-D and 2-D field of Manning’s n values in most test cases. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ocean Modelling is the property of Elsevier B.V. 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: 10.1016/j.ocemod.2014.01.001 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 43 Subjects: – SubjectFull: Ocean circulation Type: general – SubjectFull: Mathematical models of oceanography Type: general – SubjectFull: Parameter estimation Type: general – SubjectFull: Coefficients (Statistics) Type: general – SubjectFull: Coasts Type: general – SubjectFull: Square root Type: general – SubjectFull: Kalman filtering Type: general Titles: – TitleFull: Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mayo, Talea – PersonEntity: Name: NameFull: Butler, Troy – PersonEntity: Name: NameFull: Dawson, Clint – PersonEntity: Name: NameFull: Hoteit, Ibrahim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 14635003 Numbering: – Type: volume Value: 76 Titles: – TitleFull: Ocean Modelling Type: main |
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