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Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction.

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Title: Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction.
Authors: Furtado, Jason C.1, jfurtado@ou.edu, Molina, Maria J.2, Arcodia, Marybeth C.3,4, Anderson, Weston2, Beucler, Tom5, Callahan, John A.6,7, Ciasto, Laura M.8, Gensini, Vittorio A.9, L'Heureux, Michelle8, Pegion, Kathleen1, Pérez-Carrasquilla, Jhayron S.2, Sonnewald, Maike10, Takahashi, Ken11, Xiang, Baoqiang12,13, Zimmerman, Brian G.
Source: Bulletin of the American Meteorological Society; Jun2026, Vol. 107 Issue 6, pE1386-E1401, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195020867
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction.
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  Data: <searchLink fieldCode="JN" term="%22Bulletin+of+the+American+Meteorological+Society%22">Bulletin of the American Meteorological Society</searchLink>; Jun2026, Vol. 107 Issue 6, pE1386-E1401, 16p
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        Value: 10.1175/BAMS-D-24-0292.1
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              Text: Jun2026
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