Do We Need to Parameterize Mesoscale Convective Organization to Mitigate the MJO‐Mean State Trade‐Off?

Abstract

Abstract Modifications in cumulus parameterizations that improve Madden‐Julian oscillation (MJO) simulation tend to degrade the mean state—known as the MJO‐mean state trade‐off. The impacts of parameterizing mesoscale convective organization on the relationship between the MJO and the mean state simulation fidelity are examined. A series of experiments are made with a general circulation model that parameterizes the mesoscale convective organization and simulates well both the MJO and the mean state. In the control simulation, a prognostic nondimensional variable (Ω) represents the degree of convective organization. In order to examine the effect of the parameterized convective organization, fixed Ω values are imposed in a series of constrained experiments. The fixed‐Ω simulations show a negative relationship between the MJO and the mean state simulation fidelity. The control simulation is deviated from the negative relationship, suggesting the parameterized mesoscale convective organization helps general circulation models to mitigate the MJO‐mean state trade‐off.

Keywords

• GCM
• mesoscale convective organization parameterization
• MJO simulation
• mean state simulation