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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Latest update: 04 Dec 2021
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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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