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i

Linear Stability of Moist Convecting Atmospheres. Part I: From Linear Response Functions to a Simple Model and Applications to Convectively Coupled Waves



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  • Journal Title:
    Journal of the Atmospheric Sciences
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  • NOAA Program & Office:
  • Description:
    A 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.
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  • Source:
    Journal of the Atmospheric Sciences, 75(9), 2889-2907
  • DOI:
  • ISSN:
    0022-4928 ; 1520-0469
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    Other
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    Library
  • Main Document Checksum:
    urn:sha256:9f64b9e2bed7c51b829937c2604a54badff72c3f8cfd155bc21e7a9bd50baab2
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    Filetype[PDF - 3.12 MB ]
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