Uncertainty Quantification and Parameter Tuning in the Cam5 Zhang-Mcfarlane Convection Scheme and Impact of Improved Convection on the Global Circulation and Climate
In this study, we applied an uncertainty quantification (UQ) technique to improve convective precipitation in the global climate model, the Community Atmosphere Model version 5 (CAM5), in which the convective and stratiform precipitation partitioning is very different from observational estimates. We examined the sensitivity of precipitation and circulation to several key parameters in the Zhang-McFarlane deep convection scheme in CAM5, using a stochastic importance-sampling algorithm that can progressively converge to optimal parameter values. The impact of improved deep convection on the global ...
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Yang, B.; Qian, Y.; Lin, G.; Leung, L. R.; Rasch, P. J.; Zhang, G. J.; Mcfarlane, S. A.; Zhao, C.; Zhang, Y.; Wang, H.; Wang, M.; Liu, Xiaohong
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