Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 18
Articles | Volume 17, issue 18
https://doi.org/10.5194/gmd-17-7199-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-17-7199-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 18
Development and technical paper
 | 
27 Sep 2024
Development and technical paper |  | 27 Sep 2024

Introducing graupel density prediction in Weather Research and Forecasting (WRF) double-moment 6-class (WDM6) microphysics and evaluation of the modified scheme during the ICE-POP field campaign

Sun-Young Park, Kyo-Sun Sunny Lim, Kwonil Kim, Gyuwon Lee, and Jason A. Milbrandt

Supplement

https://doi.org/10.5194/gmd-17-7199-2024-supplement

Data sets

ntroducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign S. Y. Park and K.-S. S. Lim https://doi.org/10.5281/zenodo.12065447

Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign K. Kim et al. https://doi.org/10.5281/zenodo.10126522

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Short summary
We enhance the WDM6 scheme by incorporating predicted graupel density. The modification affects graupel characteristics, including fall velocity–diameter and mass–diameter relationships. Simulations highlight changes in graupel distribution and precipitation patterns, potentially influencing surface snow amounts. The study underscores the significance of integrating predicted graupel density for a more realistic portrayal of microphysical properties in weather models.
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Special issue
Winter weather research in complex terrain during ICE-POP...