Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 2
Articles | Volume 25, issue 2
https://doi.org/10.5194/acp-25-1353-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-1353-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 2
Research article
 | 
31 Jan 2025
Research article |  | 31 Jan 2025

Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations

Franziska Hellmuth, Tim Carlsen, Anne Sophie Daloz, Robert Oscar David, Haochi Che, and Trude Storelvmo

Viewed

Total article views: 1,303 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
915 349 39 1,303 36 30
  • HTML: 915
  • PDF: 349
  • XML: 39
  • Total: 1,303
  • BibTeX: 36
  • EndNote: 30
Views and downloads (calculated since 21 Mar 2024)
Cumulative views and downloads (calculated since 21 Mar 2024)

Viewed (geographical distribution)

Total article views: 1,303 (including HTML, PDF, and XML) Thereof 1,236 with geography defined and 67 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Apr 2025
Download
Short summary
This article compares the occurrence of supercooled liquid-containing clouds (sLCCs) and their link to surface snowfall in CloudSat–CALIPSO, ERA5, and the CMIP6 models. Significant discrepancies were found, with ERA5 and CMIP6 consistently overestimating sLCC and snowfall frequency. This bias is likely due to cloud microphysics parameterization. This conclusion has implications for accurately representing cloud phase and snowfall in future climate projections.

Read more
Share
Altmetrics
Final-revised paper
Preprint