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Poster TitleEnhancing Convective Parameterization in E3SM
Authors

Guang Zhang,1 Shaocheng Xie,2 Xiaoliang Song1

1Scripps Institution of Oceanography, La Jolla, CA;

2 Lawrence Livermore National Laboratory, Livermore, CA

First AuthorGuang Zhang
Session Type

E3SM Session

Session IDE1
Submission TypePoster
GroupAtmosphere
ExperimentWatercycle
Poster Link




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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