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    Geographical Variations of the Influence of Low-Frequency Variability on Lower-Tropospheric Extreme Westerly Wind Events 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 018:;page 4779
    Author(s): Yin, Jeffrey H.; Branstator, Grant W.
    Publisher: American Meteorological Society
    Abstract: A conceptual framework is developed for quantifying the relationship between low-frequency variability and extreme events. In this framework, variability is decomposed into low-frequency and synoptic components using ...
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    Estimation of Errors in Nimbus 6 Temperature Profiles and Their Spatial Correlation 

    Source: Monthly Weather Review:;1979:;volume( 107 ):;issue: 010:;page 1402
    Author(s): Schlatter, Thomas W.; Branstator, Grant W.
    Publisher: American Meteorological Society
    Abstract: Using an 8-day series (18?26 August 1975) of multivariate statistical analyses of European radiosonde data together with a measure of analysis error, we have estimated error statistics from 959 Nimbus 6 temperature profiles ...
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    Issues in Establishing Causes of the 1988 Drought over North America 

    Source: Journal of Climate:;1992:;volume( 005 ):;issue: 002:;page 159
    Author(s): Trenberth, Kevin E.; Branstator, Grant W.
    Publisher: American Meteorological Society
    Abstract: Progress toward understanding the causes of and physical mechanisms involved in the 1988 North American drought is reported. An earlier study demonstrated that major sea surface temperature (SST) anomalies in the tropical ...
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    Testing a Global Multivariate Statistical Objective Analysis Scheme with Observed Data 

    Source: Monthly Weather Review:;1976:;volume( 104 ):;issue: 006:;page 765
    Author(s): Schlatter, Thomas W.; Branstator, Grant W.; Thiel, Linda G.
    Publisher: American Meteorological Society
    Abstract: A multivariate statistical analysis procedure has been developed for estimating geopotential height h and wind (u, v) on a global latitude-longitude grid. Estimates are obtained by modifying the ?first guess? from a ...
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    A Global Low-order Spectral General Circulation Model. Part 1: Formulation and Seasonal Climatology 

    Source: Journal of the Atmospheric Sciences:;1982:;Volume( 039 ):;issue: 005:;page 929
    Author(s): Otto-Bliesner, Bette L.; Branstator, Grant W.; Houghton, David D.
    Publisher: American Meteorological Society
    Abstract: A global, spectral, primitive equation model is developed to study the seasonal climatology of the large-scale features of the atmosphere. The model resolution is five equally-spaced sigma levels in the vertical and ...
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    Reply 

    Source: Monthly Weather Review:;1977:;volume( 105 ):;issue: 011:;page 1465
    Author(s): Schlatter, Thomas W.; Branstator, Grant W.; Thiel, Linda G.
    Publisher: American Meteorological Society
    Abstract: No abstract available.
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    Tropical Pacific Interannual Variability and CO2 Climate Change 

    Source: Journal of Climate:;1993:;volume( 006 ):;issue: 001:;page 42
    Author(s): Meehl, Gerald A.; Branstator, Grant W.; Washington, Warren M.
    Publisher: American Meteorological Society
    Abstract: In this paper, an attempt is made to estimate possible sensitivities of El Niño-Southern Oscillation (ENSO)-related effects in a climate with increased carbon dioxide (CO2). To illustrate this sensitivity, results are shown ...
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    An Analysis of Equatorial Pacific Sea Surface Temperature Anomaly Experiments in General Circulation Models with and without Mountains 

    Source: Journal of the Atmospheric Sciences:;1987:;Volume( 044 ):;issue: 014:;page 1828
    Author(s): Blackmon, Maurice L.; Branstator, Grant W.; Bates, Gary T.; Geisler, John E.
    Publisher: American Meteorological Society
    Abstract: Perpetual January experiments have been performed using versions of the NCAR Community Climate Model (CCM) with and without mountains. Features of the mean simulations of the ?no mountains? experiment are compared with ...
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    Experiments with a Three-Dimensional Statistical Objective Analysis Scheme Using FGGE Data 

    Source: Monthly Weather Review:;1987:;volume( 115 ):;issue: 001:;page 272
    Author(s): Baker, Wayman E.; Bloom, Stephen C.; Woollen, John S.; Nestler, Mark S.; Brin, Eugenia; Schlatter, Thomas W.; Branstator, Grant W.
    Publisher: American Meteorological Society
    Abstract: A three-dimensional (3D), multivariate, statistical objective analysis scheme (referred to as optimum interpolation or OI) has been developed for use in numerical weather prediction studies with the FGGE data. Some novel ...
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