Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic

Li, Guangyu; Wieder, Jörg; Pasquier, Julie T.; Henneberger, Jan; Kanji, Zamin A.

doi:https://doi.org/10.5194/acp-22-14441-2022

Articles | Volume 22, issue 21

https://doi.org/10.5194/acp-22-14441-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-14441-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 21

Research article

|

11 Nov 2022

Research article |

| 11 Nov 2022

Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic

Guangyu Li, Jörg Wieder, Julie T. Pasquier, Jan Henneberger, and Zamin A. Kanji

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https://doi.org/10.5194/acp-22-14441-2022-supplement

Data sets

Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic Guangyu Li, Jörg Wieder, Julie Pasquier, Jan Henneberger, and Zamin A. Kanji https://doi.org/10.3929/ethz-b-000579558

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Short summary

The concentration of ice-nucleating particles (INPs) is atmospherically relevant for primary ice formation in clouds. In this work, from 12 weeks of field measurement data in the Arctic, we developed a new parameterization to predict INP concentrations applicable for pristine background conditions based only on temperature. The INP parameterization could improve the cloud microphysical representation in climate models, aiding in Arctic climate predictions.