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    Response Functions for Arbitrary Weight Functions and Data Distributions. Part I: Framework for Interpreting the Response Function 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 008:;page 2117
    Author(s): Askelson, Mark A.; Straka, Jerry M.
    Publisher: American Meteorological Society
    Abstract: The response function is a commonly used measure of analysis scheme properties. Its use in the interpretation of analyses of real-valued data, however, is unnecessarily complicated by the structure of the standard form of ...
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    Vertical Variations of Boundary Layer Potential Buoyancy in Tornadic and Nontornadic Near-Storm Environments 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 006:;page 1489
    Author(s): Schultz, Chauncy J.; Askelson, Mark A.
    Publisher: American Meteorological Society
    Abstract: espite great strides in understanding the tornadic near-storm environment (NSE), at times it remains difficult to determine why some storms produce significant tornadoes, while others produce none, given similar pretornadic ...
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    An Adaptation of the Barnes Filter Applied to the Objective Analysis of Radar Data 

    Source: Monthly Weather Review:;2000:;volume( 128 ):;issue: 009:;page 3050
    Author(s): Askelson, Mark A.; Aubagnac, Jean-Pierre; Straka, Jerry M.
    Publisher: American Meteorological Society
    Abstract: Spatial objective analysis is routinely performed in several applications that utilize radar data. Because of their relative simplicity and computational efficiency, one-pass distance-dependent weighted-average (DDWA) ...
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    Response Functions for Arbitrary Weight Functions and Data Distributions. Part II: Response Function Derivation and Verification 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 008:;page 2132
    Author(s): Askelson, Mark A.; Pauley, Patricia M.; Straka, Jerry M.
    Publisher: American Meteorological Society
    Abstract: Distance-dependent weighted averaging (DDWA) is a process that is fundamental to most of the objective analysis schemes that are used in meteorology. Despite its ubiquity, aspects of its effects are still poorly understood. ...
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    Influence of Low-Level Thermodynamic Structure on the Downdraft Properties of Simulated Supercells 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 008:;page 2575
    Author(s): Naylor, Jason; Askelson, Mark A.; Gilmore, Matthew S.
    Publisher: American Meteorological Society
    Abstract: dealized simulations using the Weather Research and Forecasting Model (WRF) were performed to examine the role of capping inversions on the near-surface thermodynamic structure of outflow from simulated supercells. Two ...
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    Ray Curvature on a Flat Earth for Computing Virtual WSR-88D Signatures of Simulated Supercell Storms 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 003:;page 1065
    Author(s): Davies-Jones, Robert; Wood, Vincent T.; Askelson, Mark A.
    Publisher: American Meteorological Society
    Abstract: AbstractTwo accepted postulates for applications of ground-based weather radars are that Earth?s surface is a perfect sphere and that all the rays launched at low-elevation angles have the same constant small curvature. ...
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    Choosing the Smoothing Parameters within a Multiple-Pass Barnes Objective Analysis Scheme: A Cautionary Note 

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 004:;page 713
    Author(s): Spencer, Phillip L.; Askelson, Mark A.; Doswell, Charles A.
    Publisher: American Meteorological Society
    Abstract: Various combinations of smoothing parameters within a two-pass Barnes objective analysis scheme are applied to analytic observations obtained by regular and irregular sampling of a one-dimensional sinusoidal analytic wave ...
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    Practical Considerations with Radar Data Height and Great Circle Distance Determination 

    Source: Journal of Atmospheric and Oceanic Technology:;2020:;volume( ):;issue:
    Author(s): Askelson, Mark A.;Theisen, Chris J.;Johnson, Randall S.
    Publisher: American Meteorological Society
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