Articles | Volume 18, issue 12
https://doi.org/10.5194/gmd-18-3559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-3559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
18 Jun 2025
Model evaluation paper |
| 18 Jun 2025
| 18 Jun 2025
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data
Wonbae Bang
BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
Jacob T. Carlin
NOAA/OAR National Severe Storms Laboratory, Norman, Oklahoma, USA
Kwonil Kim
School of Marine and Atmospheric Sciences, Stony Brook University, New York, USA
Alexander V. Ryzhkov
Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, Oklahoma, USA
NOAA/OAR National Severe Storms Laboratory, Norman, Oklahoma, USA
Guosheng Liu
Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, Florida, USA
GyuWon Lee
CORRESPONDING AUTHOR
BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
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Short summary
Microphysics model-based diagnosis, such as the spectral bin model (SBM), has recently been attempted to diagnose winter precipitation types. In this study, the accuracy of SBM-based precipitation type diagnosis is compared with other traditional methods. SBM has a relatively higher accuracy for dry-snow and wet-snow events, whereas it has lower accuracy for rain events. When the microphysics scheme in the SBM was optimized for the corresponding region, the accuracy for rain events improved.
Microphysics model-based diagnosis, such as the spectral bin model (SBM), has recently been...
