Articles | Volume 21, issue 22
https://doi.org/10.5194/acp-21-17133-2021
https://doi.org/10.5194/acp-21-17133-2021
Research article
 | 
25 Nov 2021
Research article |  | 25 Nov 2021

Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations

Markus Karrer, Axel Seifert, Davide Ori, and Stefan Kneifel

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Latest update: 23 Jun 2024
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Short summary
Modeling precipitation is of great relevance, e.g., for mitigating damage caused by extreme weather. A key component in accurate precipitation modeling is aggregation, i.e., sticking together of snowflakes. Simulating aggregation is difficult due to multiple parameters that are not well-known. Knowing how these parameters affect aggregation can help its simulation. We put new parameters in the model and select a combination of parameters with which the model can simulate observations better.
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