Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 3
Articles | Volume 19, issue 3
https://doi.org/10.5194/gmd-19-1261-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-1261-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 3
Model evaluation paper
 | 
11 Feb 2026
Model evaluation paper |  | 11 Feb 2026

Implementation of a multi-layer snow scheme in the GloSea6 seasonal forecast system: impacts on land–atmosphere interactions and climatological biases

Eunkyo Seo, Paul A. Dirmeyer, and Sunlae Tak

Viewed

Total article views: 4,170 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,245 779 146 4,170 258 155 270
  • HTML: 3,245
  • PDF: 779
  • XML: 146
  • Total: 4,170
  • Supplement: 258
  • BibTeX: 155
  • EndNote: 270
Views and downloads (calculated since 17 Jun 2024)
Cumulative views and downloads (calculated since 17 Jun 2024)

Viewed (geographical distribution)

Total article views: 4,170 (including HTML, PDF, and XML) Thereof 4,147 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 03 Jun 2026
Download
Short summary
This study examines a multi-layer snow scheme in seasonal forecasts. Compared to a single-layer scheme, it better captures snow insulation, delaying spring snowmelt by 1–2 weeks. This postpones evaporation and slows soil moisture depletion, which promotes evaporative cooling due to increasing energy partitioning into latent heat flux and enhances precipitation occurrence. This leads to realistic land-atmosphere interactions and reduced biases across Northern Hemisphere mid- and high-latitudes.
Read more
Share