Articles | Volume 19, issue 12
Atmos. Chem. Phys., 19, 8083–8100, 2019
https://doi.org/10.5194/acp-19-8083-2019
Atmos. Chem. Phys., 19, 8083–8100, 2019
https://doi.org/10.5194/acp-19-8083-2019

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: 1,270 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
850 390 30 1,270 29 19
  • HTML: 850
  • PDF: 390
  • XML: 30
  • Total: 1,270
  • BibTeX: 29
  • EndNote: 19
Views and downloads (calculated since 18 Jan 2019)
Cumulative views and downloads (calculated since 18 Jan 2019)

Viewed (geographical distribution)

Total article views: 1,211 (including HTML, PDF, and XML) Thereof 1,205 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Nov 2021
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.
Altmetrics
Final-revised paper
Preprint