Implementation of the Generalized Double-Moment scaling Normalization method for raindrop size distribution in a WRF 4.3.1 bulk-type cloud microphysics scheme: a case study over the Korean Peninsula

Jo, Joonghyun; Lim, Kyo Sun; Park, Sun-Young; Kwon, Juhee; Bang, Wonbae; Park, HyangSuk; Byon, Jae-Young; Lee, Gyuwon

doi:10.5194/gmd-19-8149-2026

Articles | Volume 19, issue 17

https://doi.org/10.5194/gmd-19-8149-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-8149-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 17

Development and technical paper

|

02 Sep 2026

Development and technical paper |

| 02 Sep 2026

Implementation of the Generalized Double-Moment scaling Normalization method for raindrop size distribution in a WRF 4.3.1 bulk-type cloud microphysics scheme: a case study over the Korean Peninsula

Joonghyun Jo, Kyo Sun Lim, Sun-Young Park, Juhee Kwon, Wonbae Bang, HyangSuk Park, Jae-Young Byon, and Gyuwon Lee

Data sets

Additional data for publication - Implementation of Generalized Double-Moment Scaling Normalization in a Cloud Microphysics Scheme: A Case Study in the Korean Peninsula J. Jo https://doi.org/10.5281/zenodo.18328177

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

Model code and software

Code for publication - Implementation of Generalized Double-Moment Scaling Normalization in a Cloud Microphysics Scheme: A Case Study in the Korean Peninsula J. Jo https://doi.org/10.5281/zenodo.17194841

Additional scripts and output data for publication - Implementation of Generalized Double-Moment Scaling Normalization in a Cloud Microphysics Scheme: A Case Study in the Korean Peninsula J. Jo https://doi.org/10.5281/zenodo.18346988

Short summary

This study improves rainfall simulation by applying the Generalized Double-moment scaling Normalization (GDMN) method to the rain Drop Size Distribution (DSD) in the Weather Research and Forecasting Double-Moment 6-class (WDM6) microphysics scheme. Using observed raindrop data, GDMN better represents variations in raindrop sizes. The modified WDM6 improves precipitation patterns, radar reflectivity, and storm movement, with benefits also demonstrated in a month-long East Asian simulation.