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RaFSIP: Parameterizing Ice Multiplication in Models Using a Machine Learning Approach.

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Title: RaFSIP: Parameterizing Ice Multiplication in Models Using a Machine Learning Approach.
Authors: Georgakaki, Paraskevi1 (AUTHOR), Nenes, Athanasios1,2 (AUTHOR) athanasios.nenes@epfl.ch
Source: Journal of Advances in Modeling Earth Systems. Jun2024, Vol. 16 Issue 6, p1-29. 29p.
Database: Academic Search Ultimate
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  Data: RaFSIP: Parameterizing Ice Multiplication in Models Using a Machine Learning Approach.
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  Data: <searchLink fieldCode="AR" term="%22Georgakaki%2C+Paraskevi%22">Georgakaki, Paraskevi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nenes%2C+Athanasios%22">Nenes, Athanasios</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> athanasios.nenes@epfl.ch</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Advances+in+Modeling+Earth+Systems%22">Journal of Advances in Modeling Earth Systems</searchLink>. Jun2024, Vol. 16 Issue 6, p1-29. 29p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178071354
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        Value: 10.1029/2023MS003923
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      – Code: eng
        Text: English
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        PageCount: 29
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      – TitleFull: RaFSIP: Parameterizing Ice Multiplication in Models Using a Machine Learning Approach.
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            NameFull: Georgakaki, Paraskevi
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            NameFull: Nenes, Athanasios
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            – D: 01
              M: 06
              Text: Jun2024
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              Y: 2024
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