Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud
Transitions in E3SM Global Storm-Resolving Simulations
Abstract
This study evaluates the performance of a global storm-resolving model
(GSRM), the Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM). We
analyze marine boundary layer clouds in a cold air outbreak over the
Norwegian Sea in a 40-day simulation, and compare them to observations
from satellite and a field campaign of the Atmospheric Radiation
Measurement program (ARM). SCREAM qualitatively captures the cold air
outbreak cloud transition in terms of the boundary layer growth, cloud
mesoscale structure, and phase partitioning. SCREAM also correctly
locates the greatest ice and liquid in the mesoscale updraft. However,
the study finds that SCREAM might underestimate cloud supercooled liquid
water in the cumulus cloud regime.
This study showcases
the promise of employing high-resolution and high-frequency observations
under similar large-scale conditions for evaluating GSRMs. This approach
can help identify model features for future process-level studies before
allocating extra resources for a time-matched model intercomparison of a
specific case.