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Improved Regional Atmospheric Weighted Mean Temperature Modeling Using a Decadal Dataset and Machine Learning Methods over China.

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Title: Improved Regional Atmospheric Weighted Mean Temperature Modeling Using a Decadal Dataset and Machine Learning Methods over China.
Authors: Hu, Zuquan1,2 (AUTHOR), Liang, Hong2,3,4 (AUTHOR) liangh@cma.gov.cn, Zhang, Peng2,3,4 (AUTHOR), Cao, Yunchang2,3,4 (AUTHOR), Zhao, Panpan2,3,4,5 (AUTHOR), Li, Xinxin5,6 (AUTHOR), Qu, Meifang1,6 (AUTHOR)
Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1925. 20p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 194915058
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Improved Regional Atmospheric Weighted Mean Temperature Modeling Using a Decadal Dataset and Machine Learning Methods over China.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jun2026, Vol. 18 Issue 12, p1925. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194915058
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/rs18121925
    Languages:
      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 1925
    Titles:
      – TitleFull: Improved Regional Atmospheric Weighted Mean Temperature Modeling Using a Decadal Dataset and Machine Learning Methods over China.
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          Name:
            NameFull: Hu, Zuquan
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            NameFull: Liang, Hong
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            NameFull: Zhang, Peng
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            NameFull: Cao, Yunchang
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            NameFull: Zhao, Panpan
      – PersonEntity:
          Name:
            NameFull: Li, Xinxin
      – PersonEntity:
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            NameFull: Qu, Meifang
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            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 12
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