Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 12
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.
https://doi.org/10.5194/gmd-18-3559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 12
Model evaluation paper
 | 
18 Jun 2025
Model evaluation paper |  | 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, Jacob T. Carlin, Kwonil Kim, Alexander V. Ryzhkov, Guosheng Liu, and GyuWon Lee

Viewed

Total article views: 647 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
327 162 158 647 20 30
  • HTML: 327
  • PDF: 162
  • XML: 158
  • Total: 647
  • BibTeX: 20
  • EndNote: 30
Views and downloads (calculated since 06 Nov 2024)
Cumulative views and downloads (calculated since 06 Nov 2024)

Viewed (geographical distribution)

Total article views: 647 (including HTML, PDF, and XML) Thereof 625 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jun 2025
Download
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.
Read more
Share