Evaluation of the Simulated Interannual and Subseasonal Variability in an AMIP-Style Simulation Using the CSU Multiscale Modeling Framework
作者： Marat Khairoutdinov , Charlotte DeMott , David Randall
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摘要: Abstract The Colorado State University (CSU) Multiscale Modeling Framework (MMF) is a new type of general circulation model (GCM) that replaces the conventional parameterizations convection, clouds, and boundary layer with cloud-resolving (CRM) embedded into each grid column. MMF has been used to perform 19-yr-long Atmospheric Model Intercomparison Project–style simulation using 1985–2004 sea surface temperature (SST) ice distributions as prescribed conditions. Particular focus given interannual subseasonal variability. annual mean climatology generally well simulated. Prominent biases include excessive precipitation associated Indian Asian monsoon seasons, deficits west Maritime Continent over Amazonia, shortwave cloud effect subtropical continents due insufficient stratocumulus longwave overestimation high amounts, ...
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