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    Anisotropic Correlation Functions for Objective Analysis 

    Source: Monthly Weather Review:;1976:;volume( 104 ):;issue: 008:;page 994
    Author(s): Thiebaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: Covariance models used in the data assimilation step of operational forecasting generally assume isotropy of height field correlations on constant pressure levels. Because of the evidence that this assumption is a significant ...
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    Experiments with Correlation Representations for Objective Analysis 

    Source: Monthly Weather Review:;1975:;volume( 103 ):;issue: 007:;page 617
    Author(s): Thiebaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: The Gandin optimal analysis scheme leaves open the problem of determining the covariance matrix on which it depends. The choice of an autocorrelation function for geopotential, from which geostrophically consistent ...
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    The Power of the Duality in Spatial–Temporal Estimation 

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 004:;page 567
    Author(s): Thiébaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: Space?time filtering has a long and often confusing history in the geosciences. It is called by different names in different areas of geoscience, where numerous applications have been developed. The variety of notations ...
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    Extending Estimation Accuracy with Anisotropic Interpolation 

    Source: Monthly Weather Review:;1977:;volume( 105 ):;issue: 006:;page 691
    Author(s): Thiébaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: The possibility of improving point estimates through anisotropic interpolation is investigated. Experiments employing multivariate optimal interpolation compare rms errors for estimates based on an anisotropic geopotential ...
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    Maximally Stable Estimation of Meteorological Parameters at Grid Points 

    Source: Journal of the Atmospheric Sciences:;1973:;Volume( 030 ):;issue: 008:;page 1710
    Author(s): Thiebaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: A matrix combination of vector-valued information on meteorological parameters is proposed for the incorporation of data from irregularly spaced observing systems, as well as data from forecasts and climatology. This is a ...
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    Estimation of Covariances of Meteorological Parameters Using Local-Time Averages 

    Source: Journal of Applied Meteorology:;1974:;volume( 013 ):;issue: 005:;page 592
    Author(s): Thiebaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: In estimating grid-point states with a multivariate, objective analysis procedure, knowledge of covariances of meteorological parameters observed at several locations is required. It is possible to improve accuracy in ...
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    Comments on a Global Objective Analysis 

    Source: Monthly Weather Review:;1977:;volume( 105 ):;issue: 011:;page 1462
    Author(s): Thiebaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: No abstract available.
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    Linear Combinations of Dependent Meteorological Estimates: A Synopsis 

    Source: Monthly Weather Review:;1976:;volume( 104 ):;issue: 009:;page 1172
    Author(s): Thiebaux, H. Jean; Passi, Ranjit M.
    Publisher: American Meteorological Society
    Abstract: Properties of the optimal combination scheme for several vector estimates are developed for correlated estimates having common ensemble mean. Classic optimality properties of a linear combination of estimates from separate ...
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    On Some Properties of Correlation Functions Used in Optimum Interpolation Schemes 

    Source: Monthly Weather Review:;1975:;volume( 103 ):;issue: 007:;page 605
    Author(s): Julian, Paul R.; Thiebaux, H. Jean
    Publisher: American Meteorological Society
    Abstract: Objective analyses using the so-called method of optimum interpolation incorporates statistical information on the variable(s) by means of the covariance or correlation functions. The concern in this contribution is with ...
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    Horizontal Structure of Hemispheric Forecast Error Correlations for Geopotential and Temperature 

    Source: Monthly Weather Review:;1986:;volume( 114 ):;issue: 006:;page 1048
    Author(s): Thiébaux, H. Jean; Mitchell, Herschel L.; Shantz, Donald W.
    Publisher: American Meteorological Society
    Abstract: A detailed study of hemispheric forecast-error (f.e.) statistics for the operational Canadian large-scale forecast model was made in preparation for reparameterization of the correlation function used in the data assimilation ...
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