Articles | Volume 18, issue 17
Atmos. Chem. Phys., 18, 12699–12714, 2018
https://doi.org/10.5194/acp-18-12699-2018
Atmos. Chem. Phys., 18, 12699–12714, 2018
https://doi.org/10.5194/acp-18-12699-2018

Research article 03 Sep 2018

Research article | 03 Sep 2018

Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach

Martha A. Zaidan et al.

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AR by Martha Arbayani Zaidan on behalf of the Authors (06 Aug 2018)  Author's response    Manuscript
ED: Publish as is (15 Aug 2018) by Fangqun Yu
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Short summary
This article promotes the use of the mutual information method for finding any non-linear associations among atmospheric variables. We demonstrate that the same results from previous studies are obtained by this method, which operates without supervision and without the need of understanding the physics deeply. This suggests that the method is suitable to be implemented widely in the atmospheric field to discover other interesting phenomena and their relevant variables.
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