Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories
Abstract The ice phase is a major contributor to precipitation formation over continents due to its efficiency in growing hydrometeors to large enough sizes for sedimentation. One prominent growth mechanism is the vapor deposition onto ice crystals. However, its actual growth rates remain ambiguous....
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2025-07-01
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| Series: | Journal of Advances in Modeling Earth Systems |
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| Online Access: | https://doi.org/10.1029/2025MS005016 |
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| author | N. Omanovic S. Ferrachat C. Fuchs F. Ramelli J. Henneberger A. J. Miller R. Spirig H. Zhang U. Lohmann |
| author_facet | N. Omanovic S. Ferrachat C. Fuchs F. Ramelli J. Henneberger A. J. Miller R. Spirig H. Zhang U. Lohmann |
| author_sort | N. Omanovic |
| collection | DOAJ |
| description | Abstract The ice phase is a major contributor to precipitation formation over continents due to its efficiency in growing hydrometeors to large enough sizes for sedimentation. One prominent growth mechanism is the vapor deposition onto ice crystals. However, its actual growth rates remain ambiguous. In the CLOUDLAB project, we conducted field experiments in supercooled clouds with the goal to infer ice crystal growth rates through local perturbations from cloud seeding. In this study, we combine a high‐resolution model setup of 65 m with Lagrangian trajectories to achieve a more straightforward comparison to the observations. We first show that the chosen field experiments can be reproduced in the model in terms of ice crystal number concentration. Second, we perform a series of sensitivity studies by perturbing two parameters in the vapor depositional growth equation. The goal is to understand what change is needed to achieve an agreement between simulated and observed ice crystal growth rates since the default model configuration fails to do so. Increasing the vapor deposition efficiency by a factor of up to three yields comparable growth rates to the observations. Last, we try to quantify the different contributions to the vertical motions within the seeding plume, such as the large‐scale forcing, the underlying topography, and latent heat release upon ice nucleation and growth. We show the different factors are superposed with the large‐scale forcing being a dominant factor. The Lagrangian trajectories proved to be crucial to bridge dynamics and cloud microphysical processes. |
| format | Article |
| id | doaj-art-8ee4cd233b1544cd82873d37583a20be |
| institution | DOAJ |
| issn | 1942-2466 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj-art-8ee4cd233b1544cd82873d37583a20be2025-08-20T03:18:06ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662025-07-01177n/an/a10.1029/2025MS005016Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian TrajectoriesN. Omanovic0S. Ferrachat1C. Fuchs2F. Ramelli3J. Henneberger4A. J. Miller5R. Spirig6H. Zhang7U. Lohmann8Institute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich Zurich SwitzerlandAbstract The ice phase is a major contributor to precipitation formation over continents due to its efficiency in growing hydrometeors to large enough sizes for sedimentation. One prominent growth mechanism is the vapor deposition onto ice crystals. However, its actual growth rates remain ambiguous. In the CLOUDLAB project, we conducted field experiments in supercooled clouds with the goal to infer ice crystal growth rates through local perturbations from cloud seeding. In this study, we combine a high‐resolution model setup of 65 m with Lagrangian trajectories to achieve a more straightforward comparison to the observations. We first show that the chosen field experiments can be reproduced in the model in terms of ice crystal number concentration. Second, we perform a series of sensitivity studies by perturbing two parameters in the vapor depositional growth equation. The goal is to understand what change is needed to achieve an agreement between simulated and observed ice crystal growth rates since the default model configuration fails to do so. Increasing the vapor deposition efficiency by a factor of up to three yields comparable growth rates to the observations. Last, we try to quantify the different contributions to the vertical motions within the seeding plume, such as the large‐scale forcing, the underlying topography, and latent heat release upon ice nucleation and growth. We show the different factors are superposed with the large‐scale forcing being a dominant factor. The Lagrangian trajectories proved to be crucial to bridge dynamics and cloud microphysical processes.https://doi.org/10.1029/2025MS005016large‐eddy simulationsice growthmixed‐phase cloudsLagrangian trajectoriescloud dynamicscloud seeding |
| spellingShingle | N. Omanovic S. Ferrachat C. Fuchs F. Ramelli J. Henneberger A. J. Miller R. Spirig H. Zhang U. Lohmann Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories Journal of Advances in Modeling Earth Systems large‐eddy simulations ice growth mixed‐phase clouds Lagrangian trajectories cloud dynamics cloud seeding |
| title | Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories |
| title_full | Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories |
| title_fullStr | Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories |
| title_full_unstemmed | Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories |
| title_short | Chasing Ice Crystals: Interlinking Cloud Microphysics and Dynamics in Cloud Seeding Plumes With Lagrangian Trajectories |
| title_sort | chasing ice crystals interlinking cloud microphysics and dynamics in cloud seeding plumes with lagrangian trajectories |
| topic | large‐eddy simulations ice growth mixed‐phase clouds Lagrangian trajectories cloud dynamics cloud seeding |
| url | https://doi.org/10.1029/2025MS005016 |
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