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Enhancing Low Cloud Feedback Analysis through Advanced High-Resolution Multi-scale Modeling Framework (HR-MMF)

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Abstract

High-Resolution Multi-scale Modeling Framework (HR-MMF) offers significant advancements in studying low cloud feedback by integrating globally covered, high-fidelity convection-resolving models and allowing all cloud-controlling factors to freely interact. Our recent research addresses the over-entrainment issue in HR-MMF, which leads to dim biases in stratocumulus regions, by incorporating hyperviscosity and cloud droplet sedimentation mechanisms. This refinement increases low cloud formation and liquid water paths. With the updated HR-MMF, two five-year simulations (baseline and +4 K) indicate a positive global shortwave cloud radiative effect (SWCRE = 0.36 W/m²/K) and align with findings from single-column and large eddy simulation (LES) research, notably the CGILS project. The radiation and thermodynamic mechanisms are crucial. Increased emissive water vapor from the cloud top inhibits cloud top longwave radiative cooling, reducing turbulence within the Planetary Boundary Layer (PBL). Additionally, a larger inversion specific humidity gradient due to a warmer climate enhances cloud top entrainment-driven drying of the cloud layer. Both mechanisms lead to an increased SWCRE in warmer climates.

Category
Biogeochemistry (Processes and Feedbacks)
Local/Regional Testbeds – an Integrative Framework for Multidisciplinary Model Development and Applications
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