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Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes
Author(s) -
Johannes Mülmenstädt,
Christine Nam,
Marc Salzmann,
Jan Kretzschmar,
Tristan L’Ecuyer,
Ulrike Lohmann,
PoLun Ma,
Gunnar Myhre,
David Neubauer,
Philip Stier,
Kentaroh Suzuki,
Minghuai Wang,
Johannes Quaas
Publication year - 2020
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aaz6433
Subject(s) - forcing (mathematics) , aerosol , environmental science , atmospheric sciences , climatology , radiative forcing , meteorology , cloud computing , computer science , geography , geology , operating system
Observations of cloud processes can reduce aerosol forcing uncertainty by constraining parameterizations in climate models.

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