Articles | Volume 25, issue 23
https://doi.org/10.5194/acp-25-17797-2025
https://doi.org/10.5194/acp-25-17797-2025
Research article
 | 
08 Dec 2025
Research article |  | 08 Dec 2025

Constraining microphysics assumptions on the modeling of Atmospheric Rivers using GNSS Polarimetric Radio Occultations

Antía Paz, Ramon Padullés, and Estel Cardellach

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Short summary
This study explores how different assumptions in cloud microphysics affect the vertical distribution of hydrometeors during extreme precipitation events, such as atmospheric rivers. Using a combination of high-resolution weather simulations and radiative transfer modeling, we identify snow as the dominant contributor to the observed vertical signal. The analysis highlights the sensitivity of precipitation structure to particle properties, that could help refine atmospheric modeling approaches.
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