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AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition.

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Title: AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition.
Authors: Mahowald, Natalie M.1 (AUTHOR) mahowald@cornell.edu, Li, Longlei1 (AUTHOR), Vira, Julius2 (AUTHOR), Prank, Marje2 (AUTHOR), Hamilton, Douglas S.3 (AUTHOR), Matsui, Hitoshi4 (AUTHOR), Miller, Ron L.5 (AUTHOR), Lu, P. Louis1,6 (AUTHOR), Akyuz, Ezgi7 (AUTHOR), Meidan, Daphne1 (AUTHOR), Hess, Peter8 (AUTHOR), Lihavainen, Heikki9 (AUTHOR), Wiedinmyer, Christine10 (AUTHOR), Hand, Jenny11 (AUTHOR), Alaimo, Maria Grazia12 (AUTHOR), Alves, Célia13 (AUTHOR), Alastuey, Andres14 (AUTHOR), Artaxo, Paulo15 (AUTHOR), Barreto, Africa16 (AUTHOR), Barraza, Francisco17 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2025, Vol. 25 Issue 9, p4665-4702. 38p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 185368835
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  Data: AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition.
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Chemistry+%26+Physics%22">Atmospheric Chemistry & Physics</searchLink>. 2025, Vol. 25 Issue 9, p4665-4702. 38p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=185368835
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