The implementation of sea ice model on a regional high-resolution scale.
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| Title: | The implementation of sea ice model on a regional high-resolution scale. |
|---|---|
| Authors: | Prasad, Siva1 sp4436@mun.ca, Zakharov, Igor2, Bobby, Pradeep2, McGuire, Peter |
| Source: | Ocean Dynamics. Sep2015, Vol. 65 Issue 9/10, p1353-1366. 14p. |
| Subjects: | Sea ice, Mathematical models of oceanography, Computer simulation, High performance computing, Weather forecasting, Natural satellites |
| Abstract: | The availability of high-resolution atmospheric/ocean forecast models, satellite data and access to high-performance computing clusters have provided capability to build high-resolution models for regional ice condition simulation. The paper describes the implementation of the Los Alamos sea ice model (CICE) on a regional scale at high resolution. The advantage of the model is its ability to include oceanographic parameters (e.g., currents) to provide accurate results. The sea ice simulation was performed over Baffin Bay and the Labrador Sea to retrieve important parameters such as ice concentration, thickness, ridging, and drift. Two different forcing models, one with low resolution and another with a high resolution, were used for the estimation of sensitivity of model results. Sea ice behavior over 7 years was simulated to analyze ice formation, melting, and conditions in the region. Validation was based on comparing model results with remote sensing data. The simulated ice concentration correlated well with Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and Ocean and Sea Ice Satellite Application Facility (OSI-SAF) data. Visual comparison of ice thickness trends estimated from the Soil Moisture and Ocean Salinity satellite (SMOS) agreed with the simulation for year 2010-2011. [ABSTRACT FROM AUTHOR] |
| Copyright of Ocean Dynamics is the property of Springer Nature 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: 109541240 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The implementation of sea ice model on a regional high-resolution scale. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Prasad%2C+Siva%22">Prasad, Siva</searchLink><relatesTo>1</relatesTo><i> sp4436@mun.ca</i><br /><searchLink fieldCode="AR" term="%22Zakharov%2C+Igor%22">Zakharov, Igor</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bobby%2C+Pradeep%22">Bobby, Pradeep</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22McGuire%2C+Peter%22">McGuire, Peter</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ocean+Dynamics%22">Ocean Dynamics</searchLink>. Sep2015, Vol. 65 Issue 9/10, p1353-1366. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sea+ice%22">Sea ice</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models+of+oceanography%22">Mathematical models of oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+satellites%22">Natural satellites</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The availability of high-resolution atmospheric/ocean forecast models, satellite data and access to high-performance computing clusters have provided capability to build high-resolution models for regional ice condition simulation. The paper describes the implementation of the Los Alamos sea ice model (CICE) on a regional scale at high resolution. The advantage of the model is its ability to include oceanographic parameters (e.g., currents) to provide accurate results. The sea ice simulation was performed over Baffin Bay and the Labrador Sea to retrieve important parameters such as ice concentration, thickness, ridging, and drift. Two different forcing models, one with low resolution and another with a high resolution, were used for the estimation of sensitivity of model results. Sea ice behavior over 7 years was simulated to analyze ice formation, melting, and conditions in the region. Validation was based on comparing model results with remote sensing data. The simulated ice concentration correlated well with Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and Ocean and Sea Ice Satellite Application Facility (OSI-SAF) data. Visual comparison of ice thickness trends estimated from the Soil Moisture and Ocean Salinity satellite (SMOS) agreed with the simulation for year 2010-2011. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ocean Dynamics is the property of Springer Nature 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: 10.1007/s10236-015-0877-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1353 Subjects: – SubjectFull: Sea ice Type: general – SubjectFull: Mathematical models of oceanography Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: High performance computing Type: general – SubjectFull: Weather forecasting Type: general – SubjectFull: Natural satellites Type: general Titles: – TitleFull: The implementation of sea ice model on a regional high-resolution scale. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Prasad, Siva – PersonEntity: Name: NameFull: Zakharov, Igor – PersonEntity: Name: NameFull: Bobby, Pradeep – PersonEntity: Name: NameFull: McGuire, Peter IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 16167341 Numbering: – Type: volume Value: 65 – Type: issue Value: 9/10 Titles: – TitleFull: Ocean Dynamics Type: main |
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