Simulating glaciogenic cloud seeding of low stratus over Switzerland for interpreting field observations
| Autor: | Omanovic, N., Ferrachat, S., Henneberger, J., Fuchs, C., Miller, A., Ohneiser, K., Ramelli, F., Seifert, P., Spirig, R., Zhang, H., Lohmann, U. |
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| Rok vydání: | 2023 |
| Zdroj: | XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
| DOI: | 10.57757/iugg23-2275 |
| Popis: | Low stratus clouds are a commonly occurring phenomenon over the Swiss Plateau during wintertime and can last up to several days. This almost stable characteristic is exploited in the CLOUDLAB project, which aims to gain a more profound understanding of ice crystal formation and growth by introducing seeding particles into a supercooled liquid cloud, thus initiating glaciation of the cloud. The seeding particles (silver iodide) are injected into the dynamically stable cloud from a drone enabling a highly precise and repetitive experimental setup. By observing the microphysical changes via an extensive observational setup of remote sensing and in-situ instrumentation, the low stratus clouds effectively serve as a natural laboratory for seeding experiments.To further our understanding of the occurring processes, we employ the ICON-NWP model in large-eddy mode with a horizontal resolution of up to 65 m to simulate the conducted experimental conditions. The existing two-moment microphysics scheme is supplemented by a seeding parameterization allowing us to mimic the ice nucleation behavior of the seeding particles. While it remains a challenge for numerical models to adequately represent low stratus, we successfully simulated several seeding experiments. Here, we present first comparisons between model simulations and observational data in the form of case studies and show the potential of ICON-NWP for interpreting our seeding signals. The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) |
| Databáze: | OpenAIRE |
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