Sensitivity of precipitation formation to secondary ice  production in winter orographic mixed-phase clouds

Dedekind, Zane; Lauber, Annika; Ferrachat, Sylvaine; Lohmann, Ulrike

doi:https://doi.org/10.5194/acp-21-15115-2021

Articles | Volume 21, issue 19

https://doi.org/10.5194/acp-21-15115-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-15115-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 19

Research article

|

12 Oct 2021

Research article |

| 12 Oct 2021

Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase clouds

Zane Dedekind, Annika Lauber, Sylvaine Ferrachat, and Ulrike Lohmann

Supplement

https://doi.org/10.5194/acp-21-15115-2021-supplement

Data sets

Data for the publication "Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase clouds" Z. Dedekind, A. Lauber, S.Ferrachat, and U. Lohmann https://doi.org/10.5281/zenodo.4311567

Suppliment data for the "Supplement for Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase clouds" Z. Dedekind, A. Lauber, S.Ferrachat, and U. Lohmann https://doi.org/10.5281/zenodo.4316877

Model code and software

Software for the publication "Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase cloud" Z. Dedekind, A. Lauber, S.Ferrachat, and U. Lohmann https://doi.org/10.5281/zenodo.4316923

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Short summary

The RACLETS campaign combined cloud and snow research to improve the understanding of precipitation formation in clouds. A numerical weather prediction model, COSMO, was used to assess the importance of ice crystal enhancement by ice–ice collisions for cloud properties. We found that the number of ice crystals increased by 1 to 3 orders of magnitude when ice–ice collisions were permitted to occur, reducing localized regions of high precipitation and, thereby, improving the model performance.