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Improving Arctic surface radiation estimation using a nonlinear perturbation model with a fused multi-satellite cloud fraction dataset.

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Title: Improving Arctic surface radiation estimation using a nonlinear perturbation model with a fused multi-satellite cloud fraction dataset.
Authors: Zheng, Yueming1 (AUTHOR), He, Tao1 (AUTHOR) taohers@whu.edu.cn, Ma, Yichuan2 (AUTHOR), Liu, Xinyan3 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2026, Vol. 26 Issue 5, p3321-3338. 18p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 192384804
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PubType: Academic Journal
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  Data: Improving Arctic surface radiation estimation using a nonlinear perturbation model with a fused multi-satellite cloud fraction dataset.
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Chemistry+%26+Physics%22">Atmospheric Chemistry & Physics</searchLink>. 2026, Vol. 26 Issue 5, p3321-3338. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192384804
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.5194/acp-26-3321-2026
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 3321
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      – TitleFull: Improving Arctic surface radiation estimation using a nonlinear perturbation model with a fused multi-satellite cloud fraction dataset.
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            NameFull: Zheng, Yueming
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            NameFull: He, Tao
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            NameFull: Ma, Yichuan
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            NameFull: Liu, Xinyan
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            – D: 01
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 16807316
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              Value: 26
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              Value: 5
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            – TitleFull: Atmospheric Chemistry & Physics
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