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Improving seasonal prediction of global mean surface temperature by incorporating dynamic ENSO realistic forecasts.

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Title: Improving seasonal prediction of global mean surface temperature by incorporating dynamic ENSO realistic forecasts.
Authors: Li, Ke-Xin1 (AUTHOR), Zheng, Fei1,2 (AUTHOR) zhengfei@mail.iap.ac.cn
Source: NPJ Climate & Atmospheric Science. 3/24/2026, Vol. 9 Issue 1, p1-8. 8p.
Database: Environment Complete
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Ke-Xin%22">Li, Ke-Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Fei%22">Zheng, Fei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhengfei@mail.iap.ac.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22NPJ+Climate+%26+Atmospheric+Science%22">NPJ Climate & Atmospheric Science</searchLink>. 3/24/2026, Vol. 9 Issue 1, p1-8. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=193785273
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        Value: 10.1038/s41612-026-01386-9
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        Text: English
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            NameFull: Li, Ke-Xin
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              Text: 3/24/2026
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              Y: 2026
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