Relationships between supermicrometer particle concentrations and cloud water sea salt and dust concentrations, analysis of MONARC and ACTIVATE data

This study uses airborne field data from the MONterey Aerosol Research Campaign (MONARC northeast Pacific summer 2019) and Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE: northwest Atlantic winter and summer 2020) to examine relationships between giant cloud co...

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Bibliographic Details
Published in:Environmental Science: Atmospheres
Main Authors: Gonzalez, Marisa E., Corral, Andrea F., Crosbie, Ewan, Dadashazar, Hossein, Diskin, Glenn S., Edwards, Eva-Lou, Kirschler, Simon, Moore, Richard H., Robinson, Claire E., Schlosser, Joseph S., Shook, Michael, Stahl, Connor, Thornhill, Kenneth L., Voigt, Christiane, Winstead, Edward, Ziemba, Luke D., Sorooshian, Armin
Format: Article in Journal/Newspaper
Language:English
Published: Royal Society of Chemistry 2022
Subjects:
Wolkenphysik
Pacific
Northwest Atlantic
Online Access:https://elib.dlr.de/191108/
https://elib.dlr.de/191108/1/Gonzalez_Env_Sci_2022.pdf
https://doi.org/10.1039/D2EA00049K
Description
Summary:This study uses airborne field data from the MONterey Aerosol Research Campaign (MONARC northeast Pacific summer 2019) and Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE: northwest Atlantic winter and summer 2020) to examine relationships between giant cloud condensation nuclei (GCCN) and cloud composition to advance knowledge of poorly characterized GCCNc loud interactions. The analysis compares cloud water composition data to particle concentration data with different minimum dry diameters between 1 and 10 mum (hereafter referred to as GCCN) collected below and above clouds adjacent to where cloud water samples were collected.

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