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    A Multiscale Model for the Planetary and Synoptic Motions in the Atmosphere 

    Source: Journal of the Atmospheric Sciences:;2013:;Volume( 070 ):;issue: 009:;page 2963
    Author(s): Dolaptchiev, Stamen I.; Klein, Rupert
    Publisher: American Meteorological Society
    Abstract: reduced asymptotic model valid for the planetary and synoptic scales in the atmosphere is presented. The model is derived by applying a systematic multiple-scales asymptotic method to the full compressible-flow equations ...
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    Fluctuation–Dissipation Supplemented by Nonlinearity: A Climate-Dependent Subgrid-Scale Parameterization in Low-Order Climate Models 

    Source: Journal of the Atmospheric Sciences:;2013:;Volume( 070 ):;issue: 006:;page 1833
    Author(s): Achatz, Ulrich; Löbl, Ulrike; Dolaptchiev, Stamen I.; Gritsun, Andrey
    Publisher: American Meteorological Society
    Abstract: limate-system models use a multitude of parameterization schemes for small-scale processes. These should respond to externally forced climate variability in an appropriate manner so as to reflect the response of the ...
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    Interactions between Gravity Waves and Cirrus Clouds: Asymptotic Modeling of Wave-Induced Ice Nucleation 

    Source: Journal of the Atmospheric Sciences:;2023:;volume( 080 ):;issue: 012:;page 2861
    Author(s): Dolaptchiev, Stamen I.; Spichtinger, Peter; Baumgartner, Manuel; Achatz, Ulrich
    Publisher: American Meteorological Society
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    Metastable Decomposition of High-Dimensional Meteorological Data with Gaps 

    Source: Journal of the Atmospheric Sciences:;2008:;Volume( 065 ):;issue: 011:;page 3479
    Author(s): Horenko, Illia; Dolaptchiev, Stamen I.; Eliseev, Alexey V.; Mokhov, Igor I.; Klein, Rupert
    Publisher: American Meteorological Society
    Abstract: This paper presents an extension of the recently developed method for simultaneous dimension reduction and metastability analysis of high-dimensional time series. The modified approach is based on a combination of ensembles ...
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    Climate Dependence in Empirical Parameters of Subgrid-Scale Parameterizations using the Fluctuation–Dissipation Theorem 

    Source: Journal of the Atmospheric Sciences:;2018:;volume 075:;issue 011:;page 3843
    Author(s): Pieroth, Martin; Dolaptchiev, Stamen I.; Zacharuk, Matthias; Heppelmann, Tobias; Gritsun, Andrey; Achatz, Ulrich
    Publisher: American Meteorological Society
    Abstract: AbstractMany subgrid-scale (SGS) parameterizations in climate models contain empirical parameters and are thus data dependent. In particular, it is not guaranteed that the SGS parameterization still helps the model to ...
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    Stochastic Parameterization: Toward a New View of Weather and Climate Models 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 003:;page 565
    Author(s): Berner, Judith; Achatz, Ulrich; Batté, Lauriane; Bengtsson, Lisa; Cámara, Alvaro de la; Christensen, Hannah M.; Colangeli, Matteo; Coleman, Danielle R. B.; Crommelin, Daan; Dolaptchiev, Stamen I.; Franzke, Christian L. E.; Friederichs, Petra; Imkeller, Peter; Järvinen, Heikki; Juricke, Stephan; Kitsios, Vassili; Lott, François; Lucarini, Valerio; Mahajan, Salil; Palmer, Timothy N.; Penland, Cécile; Sakradzija, Mirjana; von Storch, Jin-Song; Weisheimer, Antje; Weniger, Michael; Williams, Paul D.; Yano, Jun-Ichi
    Publisher: American Meteorological Society
    Abstract: he last decade has seen the success of stochastic parameterizations in short-term, medium-range, and seasonal forecasts: operational weather centers now routinely use stochastic parameterization schemes to represent model ...
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