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Noise Persistence in a Cyclostationary Linear Inverse Model Framework and Its Impact on ENSO Evolution and Prediction Skills.

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Title: Noise Persistence in a Cyclostationary Linear Inverse Model Framework and Its Impact on ENSO Evolution and Prediction Skills.
Authors: Lien, Justin1, lien.justin.t8@dc.tohoku.ac.jp, Ando, Hiroyasu1,2, Richter, Ingo3, Kido, Shoichiro3
Source: Journal of the Atmospheric Sciences; Mar2026, Vol. 83 Issue 3, p391-416, 26p
Database: Applied Science & Technology Source
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Header DbId: aci
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An: 192793002
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Atmospheric+Sciences%22">Journal of the Atmospheric Sciences</searchLink>; Mar2026, Vol. 83 Issue 3, p391-416, 26p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1175/JAS-D-25-0066.1
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 391
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      – TitleFull: Noise Persistence in a Cyclostationary Linear Inverse Model Framework and Its Impact on ENSO Evolution and Prediction Skills.
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            NameFull: Ando, Hiroyasu
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            NameFull: Richter, Ingo
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              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 83
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