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Poster Title | Enhancing Convective Parameterization in E3SM |
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Authors | Guang Zhang,1 Shaocheng Xie,2 Xiaoliang Song1 1Scripps Institution of Oceanography, La Jolla, CA; 2 Lawrence Livermore National Laboratory, Livermore, CA |
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First Author | Guang Zhang |
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Session Type | E3SM |
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sessionSession | Session ID | E1 |
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posterPoster | Group | Atmosphere |
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Experiment | Watercycle |
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Abstract
Convective parameterization is one of the major factors responsible for biases in global climate model (GCM) simulations. At a scale of ~100 km or larger, there exists a quasi-equilibrium between convection and the large-scale forcing. At grey zone scales (e.g., ~10 km), convection becomes more stochastic within a GCM grid box, and many important assumptions in conventional parameterization break down. Therefore, the representation of stochasticity of convection is a critical scientific issue in high-resolution E3SM development, and a scale-aware convection scheme is also urgently needed. The parameterization of microphysical processes within convective clouds is another issue of fundamental importance in climate simulations. Both hydrometeor detrainment into anvil clouds and precipitation efficiency depend on microphysical processes in convective updrafts and downdrafts.
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