Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.

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Title: Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.
Authors: Wikner, Alexander1 (AUTHOR) awikner1@umd.edu, Pathak, Jaideep1 (AUTHOR), Hunt, Brian R.2,3 (AUTHOR), Szunyogh, Istvan4 (AUTHOR), Girvan, Michelle1,3,5 (AUTHOR), Ott, Edward1,5,6 (AUTHOR)
Source: Chaos. May2021, Vol. 31 Issue 5, p1-11. 11p.
Database: Mathematics Source
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  Data: Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.
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  Data: <searchLink fieldCode="JN" term="%22Chaos%22">Chaos</searchLink>. May2021, Vol. 31 Issue 5, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=150575302
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        Value: 10.1063/5.0048050
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        Text: English
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        PageCount: 11
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      – TitleFull: Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.
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              M: 05
              Text: May2021
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              Y: 2021
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