Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling.
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| Title: | Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling. |
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| Authors: | García-Pintado, Javier1,2 j.garcia-pintado@reading.ac.uk, Neal, Jeff C.3, Mason, David C.1,2, Dance, Sarah L.1,2, Bates, Paul D.3 |
| Source: | Journal of Hydrology. Jul2013, Vol. 495, p252-266. 15p. |
| Subjects: | Structure-activity relationships, Water levels, Floods, Online data processing, Hydraulic measurements, Water depth, Water table |
| Abstract: | Highlights: [•] We assimilate satellite SAR-derived water level with an ensemble filter (ETKF). [•] We evaluate the forecast sensitivity to satellite first visit and revisit time. [•] Online correction of imposed bias clearly improves the 2D flood model/DA forecast. [•] Imagery obtained early in the flood has a large influence on the forecast. [•] Revisit interval is most influential for early observations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Hydrology 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: 89303503 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22García-Pintado%2C+Javier%22">García-Pintado, Javier</searchLink><relatesTo>1,2</relatesTo><i> j.garcia-pintado@reading.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Neal%2C+Jeff+C%2E%22">Neal, Jeff C.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Mason%2C+David+C%2E%22">Mason, David C.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dance%2C+Sarah+L%2E%22">Dance, Sarah L.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bates%2C+Paul+D%2E%22">Bates, Paul D.</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Hydrology%22">Journal of Hydrology</searchLink>. Jul2013, Vol. 495, p252-266. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Structure-activity+relationships%22">Structure-activity relationships</searchLink><br /><searchLink fieldCode="DE" term="%22Water+levels%22">Water levels</searchLink><br /><searchLink fieldCode="DE" term="%22Floods%22">Floods</searchLink><br /><searchLink fieldCode="DE" term="%22Online+data+processing%22">Online data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulic+measurements%22">Hydraulic measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Water+depth%22">Water depth</searchLink><br /><searchLink fieldCode="DE" term="%22Water+table%22">Water table</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: [•] We assimilate satellite SAR-derived water level with an ensemble filter (ETKF). [•] We evaluate the forecast sensitivity to satellite first visit and revisit time. [•] Online correction of imposed bias clearly improves the 2D flood model/DA forecast. [•] Imagery obtained early in the flood has a large influence on the forecast. [•] Revisit interval is most influential for early observations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Hydrology 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.jhydrol.2013.03.050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 252 Subjects: – SubjectFull: Structure-activity relationships Type: general – SubjectFull: Water levels Type: general – SubjectFull: Floods Type: general – SubjectFull: Online data processing Type: general – SubjectFull: Hydraulic measurements Type: general – SubjectFull: Water depth Type: general – SubjectFull: Water table Type: general Titles: – TitleFull: Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: García-Pintado, Javier – PersonEntity: Name: NameFull: Neal, Jeff C. – PersonEntity: Name: NameFull: Mason, David C. – PersonEntity: Name: NameFull: Dance, Sarah L. – PersonEntity: Name: NameFull: Bates, Paul D. IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 07 Text: Jul2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00221694 Numbering: – Type: volume Value: 495 Titles: – TitleFull: Journal of Hydrology Type: main |
| ResultId | 1 |
