Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 12
Articles | Volume 19, issue 12
https://doi.org/10.5194/acp-19-8083-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-8083-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 12
Research article
 | 
20 Jun 2019
Research article |  | 20 Jun 2019

Quantifying the bias of radiative heating rates in numerical weather prediction models for shallow cumulus clouds

Nina Črnivec and Bernhard Mayer

Viewed

Total article views: 2,989 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,030 857 102 2,989 119 127
  • HTML: 2,030
  • PDF: 857
  • XML: 102
  • Total: 2,989
  • BibTeX: 119
  • EndNote: 127
Views and downloads (calculated since 18 Jan 2019)
Cumulative views and downloads (calculated since 18 Jan 2019)

Viewed (geographical distribution)

Total article views: 2,989 (including HTML, PDF, and XML) Thereof 2,900 with geography defined and 89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Oct 2025
Download
Short summary
The interaction between radiation and clouds represents a source of uncertainty in numerical weather prediction (NWP), due to both intrinsic problems of one-dimensional radiation schemes and poor representation of clouds. The underlying question addressed in this study is how large the bias is of radiative heating rates in NWP models for shallow cumulus clouds and how it scales with various parameters, such as solar zenith angle, surface albedo, cloud cover and liquid water path.
Read more
Share
Altmetrics
Final-revised paper
Preprint