Articles | Volume 21, issue 22
Atmos. Chem. Phys., 21, 17133–17166, 2021
https://doi.org/10.5194/acp-21-17133-2021

Special issue: Fusion of radar polarimetry and numerical atmospheric modelling...

Atmos. Chem. Phys., 21, 17133–17166, 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-382', Anonymous Referee #1, 28 Jul 2021
    • AC1: 'Reply on RC1', Markus Karrer, 14 Sep 2021
  • RC2: 'Comment on acp-2021-382', Anonymous Referee #2, 23 Aug 2021
    • AC2: 'Reply on RC2', Markus Karrer, 14 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Markus Karrer on behalf of the Authors (14 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (20 Oct 2021) by Franziska Glassmeier
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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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