Articles | Volume 11, issue 9
Geosci. Model Dev., 11, 3929–3944, 2018
https://doi.org/10.5194/gmd-11-3929-2018

Special issue: Particle-based methods for simulating atmospheric aerosol...

Geosci. Model Dev., 11, 3929–3944, 2018
https://doi.org/10.5194/gmd-11-3929-2018

Development and technical paper 28 Sep 2018

Development and technical paper | 28 Sep 2018

Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithm

Johannes Schwenkel et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Johannes Schwenkel on behalf of the Authors (10 Aug 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Aug 2018) by Holger Tost
RR by Anonymous Referee #2 (07 Sep 2018)
ED: Publish as is (10 Sep 2018) by Holger Tost
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Short summary
Lagrangian cloud models are a powerful tool to understand cloud microphysics and are increasingly used in the cloud physics community. In this study we present a method designed to improve the warm cloud precipitation process in such models. Our results indicate that using this method is essential for a proper representation of the collisional process of warm clouds, while maintaining an appropriate computational demand.