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    Multiscale Models with Moisture and Systematic Strategies for Superparameterization 

    Source: Journal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 007:;page 2726
    Author(s): Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: The accurate parameterization of moist convection presents a major challenge for the accurate prediction of weather and climate through numerical models. Superparameterization is a promising recent alternative strategy for ...
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    New Multiscale Models and Self-Similarity in Tropical Convection 

    Source: Journal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 004:;page 1393
    Author(s): Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: One of the unexplained striking features of tropical convection is the observed statistical self-similarity in clusters, superclusters, and intraseasonal oscillations through complex multiscale processes ranging from the ...
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    Equatorial Convectively Coupled Waves in a Simple Multicloud Model 

    Source: Journal of the Atmospheric Sciences:;2008:;Volume( 065 ):;issue: 011:;page 3376
    Author(s): Khouider, Boualem; Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: Linear stability results for the multicloud model recently developed by the authors on an equatorial beta plane are presented here. The linearized equations, about a realistic radiative?convective equilibrium (RCE) are ...
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    A Simple Multicloud Parameterization for Convectively Coupled Tropical Waves. Part I: Linear Analysis 

    Source: Journal of the Atmospheric Sciences:;2006:;Volume( 063 ):;issue: 004:;page 1308
    Author(s): Khouider, Boualem; Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: Recent observational analysis reveals the central role of three multicloud types, congestus, stratiform, and deep convective cumulus clouds, in the dynamics of large-scale convectively coupled Kelvin waves, westward-propagating ...
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    Quantifying the Predictive Skill in Long-Range Forecasting. Part I: Coarse-Grained Predictions in a Simple Ocean Model 

    Source: Journal of Climate:;2011:;volume( 025 ):;issue: 006:;page 1793
    Author(s): Giannakis, Dimitrios; Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: n information-theoretic framework is developed to assess the long-range coarse-grained predictive skill in a perfect-model environment. Central to the scheme is the notion that long-range forecasting involves regimes; ...
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    A Multiscale Model for the Intraseasonal Impact of the Diurnal Cycle over the Maritime Continent on the Madden–Julian Oscillation 

    Source: Journal of the Atmospheric Sciences:;2015:;Volume( 073 ):;issue: 002:;page 579
    Author(s): Majda, Andrew J.; Yang, Qiu
    Publisher: American Meteorological Society
    Abstract: he eastward-propagating Madden?Julian oscillation (MJO) typically exhibits complex behavior during its passage over the Maritime Continent, sometimes slowly propagating eastward and other times stalling and even terminating ...
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    Quantifying the Predictive Skill in Long-Range Forecasting. Part II: Model Error in Coarse-Grained Markov Models with Application to Ocean-Circulation Regimes 

    Source: Journal of Climate:;2011:;volume( 025 ):;issue: 006:;page 1814
    Author(s): Giannakis, Dimitrios; Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: n information-theoretic framework is developed to assess the predictive skill and model error in imperfect climate models for long-range forecasting. Here, of key importance is a climate equilibrium consistency test for ...
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    Quantifying Uncertainty for Climate Change and Long-Range Forecasting Scenarios with Model Errors. Part I: Gaussian Models 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 013:;page 4523
    Author(s): Gershgorin, Boris; Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: nformation theory provides a concise systematic framework for measuring climate consistency and sensitivity for imperfect models. A suite of increasingly complex physically relevant linear Gaussian models with time periodic ...
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    Filtering Turbulent Sparsely Observed Geophysical Flows 

    Source: Monthly Weather Review:;2009:;volume( 138 ):;issue: 004:;page 1050
    Author(s): Harlim, John; Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: Filtering sparsely turbulent signals from nature is a central problem of contemporary data assimilation. Here, sparsely observed turbulent signals from nature are generated by solutions of two-layer quasigeostrophic models ...
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    Upscale Impact of Mesoscale Disturbances of Tropical Convection on Convectively Coupled Kelvin Waves 

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 075 ):;issue: 001:;page 85
    Author(s): Yang, Qiu;Majda, Andrew J.
    Publisher: American Meteorological Society
    Abstract: AbstractTropical convection associated with convectively coupled Kelvin waves (CCKWs) is typically organized by an eastward-moving synoptic-scale convective envelope with numerous embedded westward-moving mesoscale ...
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