Mixed-phase direct numerical simulation: ice growth in cloud-top generating cells

Chen, Sisi; Xue, Lulin; Tessendorf, Sarah; Ikeda, Kyoko; Weeks, Courtney; Rasmussen, Roy; Kunkel, Melvin; Blestrud, Derek; Parkinson, Shaun; Meadows, Melinda; Dawson, Nick

doi:https://doi.org/10.5194/acp-23-5217-2023

Articles | Volume 23, issue 9

https://doi.org/10.5194/acp-23-5217-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-5217-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 9

Research article

|

09 May 2023

Research article |

| 09 May 2023

Mixed-phase direct numerical simulation: ice growth in cloud-top generating cells

Sisi Chen, Lulin Xue, Sarah Tessendorf, Kyoko Ikeda, Courtney Weeks, Roy Rasmussen, Melvin Kunkel, Derek Blestrud, Shaun Parkinson, Melinda Meadows, and Nick Dawson

Data sets

Replication Data for "Mixed-phase Direct Numerical Simulation: Ice Growth in Cloud-Top Generating Cells" Sisi Chen https://doi.org/10.7910/DVN/BKYGWW

Model code and software

NCAR mixed-phase direct numerical simulation (DNS) Sisi Chen https://doi.org/10.5281/zenodo.7226573

Short summary

The possible mechanism of effective ice growth in the cloud-top generating cells in winter orographic clouds is explored using a newly developed ultra-high-resolution cloud microphysics model. Simulations demonstrate that a high availability of moisture and liquid water is critical for producing large ice particles. Fluctuations in temperature and moisture down to millimeter scales due to cloud turbulence can substantially affect the growth history of the individual cloud particles.