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A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component.

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Title: A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component.
Authors: Arcomano, Troy1,2 (AUTHOR) tarcomano@anl.gov, Szunyogh, Istvan1 (AUTHOR), Wikner, Alexander3 (AUTHOR), Hunt, Brian R.4 (AUTHOR), Ott, Edward3,5 (AUTHOR)
Source: Geophysical Research Letters. 4/28/2023, Vol. 50 Issue 8, p1-10. 10p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component.
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  Data: <searchLink fieldCode="JN" term="%22Geophysical+Research+Letters%22">Geophysical Research Letters</searchLink>. 4/28/2023, Vol. 50 Issue 8, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=163394927
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        Value: 10.1029/2022GL102649
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      – Code: eng
        Text: English
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            NameFull: Wikner, Alexander
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              Text: 4/28/2023
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              Y: 2023
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