Influence of cloud microphysics schemes on weather model predictions of heavy precipitation

Köcher, Gregor; Zinner, Tobias; Knote, Christoph

doi:https://doi.org/10.5194/acp-23-6255-2023

Articles | Volume 23, issue 11

https://doi.org/10.5194/acp-23-6255-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Fusion of radar polarimetry and numerical atmospheric modelling...

https://doi.org/10.5194/acp-23-6255-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 11

Research article

|

07 Jun 2023

Research article |

| 07 Jun 2023

Influence of cloud microphysics schemes on weather model predictions of heavy precipitation

Gregor Köcher, Tobias Zinner, and Christoph Knote

Supplement

https://doi.org/10.5194/acp-23-6255-2023-supplement

Model code and software

IcePolCKa code G. Köcher https://doi.org/10.5281/zenodo.7428844

Description of the Advanced Research WRF Model Version 4 W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang https://github.com/wrf-model/WRF

CSU-Radarmet/CSU_RadarTools: CSU_RadarTools v1.3 T. Lang, B. Dolan, N. Guy, C. A. M. Gerlach, and J. Hardin https://doi.org/10.5281/zenodo.2562063

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Short summary

Polarimetric radar observations of 30 d of convective precipitation events are used to statistically analyze 5 state-of-the-art microphysics schemes of varying complexity. The frequency and area of simulated heavy-precipitation events are in some cases significantly different from those observed, depending on the microphysics scheme. Analysis of simulated particle size distributions and reflectivities shows that some schemes have problems reproducing the correct particle size distributions.