Lake ice simulation using a 3D unstructured grid model.

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Title: Lake ice simulation using a 3D unstructured grid model.
Authors: Zhang, Yinglong Joseph1 (AUTHOR) yjzhang@vims.edu, Wu, Chin2 (AUTHOR), Anderson, Joshua2 (AUTHOR), Danilov, Sergey3 (AUTHOR), Wang, Qiang3 (AUTHOR), Liu, Yuli2 (AUTHOR), Wang, Qian4 (AUTHOR)
Source: Ocean Dynamics. Apr2023, Vol. 73 Issue 3/4, p219-230. 12p.
Subjects: Ice on rivers, lakes, etc., Ice fields, Subglacial lakes, Ice
Abstract: We develop a single-class ice and snow model embedded inside a 3D hydrodynamic model on unstructured grids and apply it to lake studies using highly variable mesh resolution. The model is able to reasonably capture the ice fields observed in both small and large lakes. For the first time, we attempt simulation of ice processes on very small scales (~ 1 m). Physically sound results are obtained at the expense of moderately increased computational cost, although more rigorous validation nearshore is needed due to lack of observation. We also outline challenges on developing new process-based capabilities for accurately simulating nearshore ice. [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.)
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  Data: Lake ice simulation using a 3D unstructured grid model.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yinglong+Joseph%22">Zhang, Yinglong Joseph</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yjzhang@vims.edu</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Chin%22">Wu, Chin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anderson%2C+Joshua%22">Anderson, Joshua</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Danilov%2C+Sergey%22">Danilov, Sergey</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiang%22">Wang, Qiang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yuli%22">Liu, Yuli</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qian%22">Wang, Qian</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="DE" term="%22Ice+on+rivers%2C+lakes%2C+etc%2E%22">Ice on rivers, lakes, etc.</searchLink><br /><searchLink fieldCode="DE" term="%22Ice+fields%22">Ice fields</searchLink><br /><searchLink fieldCode="DE" term="%22Subglacial+lakes%22">Subglacial lakes</searchLink><br /><searchLink fieldCode="DE" term="%22Ice%22">Ice</searchLink>
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  Label: Abstract
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  Data: We develop a single-class ice and snow model embedded inside a 3D hydrodynamic model on unstructured grids and apply it to lake studies using highly variable mesh resolution. The model is able to reasonably capture the ice fields observed in both small and large lakes. For the first time, we attempt simulation of ice processes on very small scales (~ 1 m). Physically sound results are obtained at the expense of moderately increased computational cost, although more rigorous validation nearshore is needed due to lack of observation. We also outline challenges on developing new process-based capabilities for accurately simulating nearshore ice. [ABSTRACT FROM AUTHOR]
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  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:
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      – Type: doi
        Value: 10.1007/s10236-023-01549-9
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 219
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      – SubjectFull: Ice on rivers, lakes, etc.
        Type: general
      – SubjectFull: Ice fields
        Type: general
      – SubjectFull: Subglacial lakes
        Type: general
      – SubjectFull: Ice
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      – TitleFull: Lake ice simulation using a 3D unstructured grid model.
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              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
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