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Hourly PM2.5 Estimates From TEMPO and ABI Aerosol Retrievals Using Geographically Weighted Regression.

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Title: Hourly PM2.5 Estimates From TEMPO and ABI Aerosol Retrievals Using Geographically Weighted Regression.
Authors: Zhang, Hai1 (AUTHOR) hai.zhang@noaa.gov, Kondragunta, Shobha2 (AUTHOR), Wei, Zigang1 (AUTHOR)
Source: Earth & Space Science. May2026, Vol. 13 Issue 5, p1-21. 21p.
Database: Academic Search Ultimate
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  Data: Hourly PM<subscript>2.5</subscript> Estimates From TEMPO and ABI Aerosol Retrievals Using Geographically Weighted Regression.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Hai%22">Zhang, Hai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hai.zhang@noaa.gov</i><br /><searchLink fieldCode="AR" term="%22Kondragunta%2C+Shobha%22">Kondragunta, Shobha</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Zigang%22">Wei, Zigang</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Earth+%26+Space+Science%22">Earth & Space Science</searchLink>. May2026, Vol. 13 Issue 5, p1-21. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194138698
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    Identifiers:
      – Type: doi
        Value: 10.1029/2025EA004959
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Hourly PM2.5 Estimates From TEMPO and ABI Aerosol Retrievals Using Geographically Weighted Regression.
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            NameFull: Zhang, Hai
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            NameFull: Kondragunta, Shobha
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              Text: May2026
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              Y: 2026
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              Value: 13
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              Value: 5
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