Articles | Volume 17, issue 17
Research article
14 Sep 2017
Research article |  | 14 Sep 2017

Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers

Sarvesh Garimella, Daniel A. Rothenberg, Martin J. Wolf, Robert O. David, Zamin A. Kanji, Chien Wang, Michael Rösch, and Daniel J. Cziczo


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

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
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.
Final-revised paper