Tangent linear super-parameterization of convection in a 10-layer global atmosphere with calibrated climatology
This paper presents an innovative use of the linear response function methodology for cumulus parameterization that exposes its strengths and weaknesses in a global modeling setting. The authors propose an intermediate-complexity general circulation model, in which one can constrain the mean state and moisture (and temperature) sensitivity of convection separately. They hoped that this model would successfully simulate the Madden-Julian Oscillation (MJO) but it could not, presumably due to the lack of cloud-radiation feedbacks. The results presented in this manuscript document the basic state and tropical variability, and its sensitivity to the moisture sensitivity of convection. Despite some of the results being discouraging, this is an interesting and potentially valuable approach for better understanding convection-large-scale interactions and couplings.
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Tangent linear superparameterization of convection in a 10 layer global atmosphere with calibrated climatology
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