Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship.

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Title: Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship.
Authors: Christensen, Matthew W.1 matt.christensen@pnnl.gov, Geiss, Andrew1, Varble, Adam C.1, Ma, Po-Lun1
Source: Atmospheric Chemistry & Physics. 2026, Vol. 26 Issue 1, p59-76. 18p.
Database: Environment Complete
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  Data: Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship.
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Chemistry+%26+Physics%22">Atmospheric Chemistry & Physics</searchLink>. 2026, Vol. 26 Issue 1, p59-76. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=191076222
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      – Type: doi
        Value: 10.5194/acp-26-59-2026
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      – Code: eng
        Text: English
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      – TitleFull: Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship.
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            NameFull: Geiss, Andrew
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              Text: 2026
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