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contributor authorKuang, Zhiming
date accessioned2019-09-19T10:08:08Z
date available2019-09-19T10:08:08Z
date copyright6/15/2018 12:00:00 AM
date issued2018
identifier otherjas-d-18-0092.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261930
description abstractAbstractA procedure is presented to systematically construct simple models for the linear stability of moist convecting atmospheres. First, linear response functions of a cumulus ensemble constructed from cloud-system-resolving models are coupled with matrices expressing two-dimensional large-scale linear wave dynamics. For a radiative?convective equilibrium reference state, this model gives two branches of unstable modes: a propagating convectively coupled wave branch and a stationary branch related to storage of column-integrated moist static energy (MSE). The stationary branch is unstable only when radiative feedback is included, while the convectively coupled wave branch is less affected by radiative feedback. With a modular order-reduction procedure from control theory, the linear-response-function-based model is reduced to a system of six ordinary differential equations while still capturing the essential features of the unstable modes (eigenvalues and structures). The six-dimensional system is then split into a slow and a fast manifold. The slow manifold (again, reflecting column MSE storage) is essential for the stationary mode but not for the convectively coupled waves. The fast manifold is then transformed into a form similar to that of prior simple models of convectively coupled waves, thus placing those models and the insights derived from them on a firmer footing. The procedure also better quantifies the parameters of such simple models and allows the stability difference between different reference states to be better understood.
publisherAmerican Meteorological Society
titleLinear Stability of Moist Convecting Atmospheres. Part I: From Linear Response Functions to a Simple Model and Applications to Convectively Coupled Waves
typeJournal Paper
journal volume75
journal issue9
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-D-18-0092.1
journal fristpage2889
journal lastpage2907
treeJournal of the Atmospheric Sciences:;2018:;volume 075:;issue 009
contenttypeFulltext


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