Articles | Volume 17, issue 17
Atmos. Chem. Phys., 17, 10855–10864, 2017
https://doi.org/10.5194/acp-17-10855-2017
Atmos. Chem. Phys., 17, 10855–10864, 2017
https://doi.org/10.5194/acp-17-10855-2017

Research article 14 Sep 2017

Research article | 14 Sep 2017

Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers

Sarvesh Garimella et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel J. Cziczo on behalf of the Authors (19 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 May 2017) by Hinrich Grothe
RR by Anonymous Referee #2 (05 Jun 2017)
ED: Publish as is (05 Jun 2017) by Hinrich Grothe
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Short summary
This study investigates systematic and variable low bias in the measurement of ice nucleating particle concentration using continuous flow diffusion chambers. We find that non-ideal instrument behavior exposes particles to different humidities and/or temperatures than predicted from theory. We use a machine learning approach to quantify and minimize the uncertainty associated with this measurement bias.
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