Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm‐Resolving Simulations
[1];
[1];
[1];
[2];
[4];
[1];
[5];
[1];
[1]
- Cloud Processes Research and Modeling Group Lawrence Livermore National Laboratory Livermore CA USA
- Physics Department University of Maryland Baltimore County Baltimore MD USA
- Environmental and Climate Sciences Department Brookhaven National Laboratory Upton NY USA
- Cloud Processes Research and Modeling Group Lawrence Livermore National Laboratory Livermore CA USA, Pacific Northwest National Laboratory Richland WA USA
- Department of Atmospheric Sciences University of Wyoming Laramie WY USA
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.
- Research Organization:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- AC05-76RL01830; AC52-07NA27344; SC0012704; SC0018927; SC0020057; SC0021151
- OSTI ID:
- 2339683
- Report Number(s):
- BNL-225672-2024-JAAM; LLNL-JRNL-856632; PNNL-SA-193285; e2024GL109175
- Journal Information:
- Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 8 Vol. 51; ISSN 0094-8276
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Exposing Process‐Level Biases in a Global Cloud Permitting Model With ARM Observations
Exposing and Reducing Biases of Simulating Mixed-Phase Clouds in the Convection-Permitting E3SM Atmosphere Model: Lessons From an Arctic Cold-Air Outbreak