Quantifying the limits of convective parameterizations: a statistical characterization of simulated cumulus convection
This study reviews and characterizes such departures from convective quasiequilibrium, that is, fluctuations about the equilibrium state that are found to be present in convective simulations of a cloud-resolving model (CRM) that lead to effects of nonequilibrium and non-deterministic behavior. Information about such behavior is hypothesized to be important to the development of stochastic convective parameterizations that are employed to introduce temporal variability into general circulation models (GCMs) in an informed manner to improve the statistics of various fields. Following a process ...
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