Articles | Volume 19, issue 12
https://doi.org/10.5194/acp-19-8083-2019
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

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Latest update: 12 Jun 2024
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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.
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