| Abstract |
This study examines marine boundary layer cloud regime transition during a cold air outbreak (CAO) over the Norwegian Sea, simulated by a global storm‐resolving model (GSRM) known as the Simple Cloud‐Resolving Energy Exascale Earth System Model Atmosphere Model (SCREAM). By selecting observational references based on a combination of large‐scale conditions rather than strict time‐matched comparisons, this study finds that SCREAM qualitatively captures the CAO cloud transition, including boundary layer growth, cloud mesoscale structure, and phase partitioning. SCREAM also accurately locates the greatest ice and liquid in the mesoscale updrafts, however, underestimates supercooled liquid water in cumulus clouds. The model evaluation approach adopted by this study takes advantages of the existing computational‐expensive global simulations of GSRM and the available observations to understand model performance and can be applied to assessments of other cloud regimes in different regions. Such practice provides valuable guidance on the future effort to correct and improve biased model behaviors. |
| Authors |
Xue Zheng  , Yunyan Zhang , Stephen A. Klein , Meng Zhang , Zhibo Zhang , Min Deng , Jingjing Tian , Christopher R. Terai , Bart Geerts  , Peter Caldwell , Peter A. Bogenschutz
|
| Journal Info |
American Geophysical Union | Geophysical Research Letters , vol: 51
, iss: 8
|
| Publication Date |
4/20/2024 |
| ISSN |
0094-8276 |
Type |
article |
| Open Access |
hybrid
|
| DOI |
https://doi.org/10.1029/2024gl109175 |
| Keywords |
Climate Modeling (Score: 0.529944) , Clouds (Score: 0.505719)
|
