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    Data Mining Storm Attributes from Spatial Grids 

    Source: Journal of Atmospheric and Oceanic Technology:;2009:;volume( 026 ):;issue: 011:;page 2353
    Author(s): Lakshmanan, Valliappa; Smith, Travis
    Publisher: American Meteorological Society
    Abstract: A technique to identify storms and capture scalar features within the geographic and temporal extent of the identified storms is described. The identification technique relies on clustering grid points in an observation ...
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    An Objective Method of Evaluating and Devising Storm-Tracking Algorithms 

    Source: Weather and Forecasting:;2009:;volume( 025 ):;issue: 002:;page 701
    Author(s): Lakshmanan, Valliappa; Smith, Travis
    Publisher: American Meteorological Society
    Abstract: Although storm-tracking algorithms are a key ingredient of nowcasting systems, evaluation of storm-tracking algorithms has been indirect, labor intensive, or nonspecific. A set of easily computable bulk statistics that can ...
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    Quality Control of Accumulated Fields by Applying Spatial and Temporal Constraints 

    Source: Journal of Atmospheric and Oceanic Technology:;2012:;volume( 030 ):;issue: 004:;page 745
    Author(s): Lakshmanan, Valliappa; Miller, Madison; Smith, Travis
    Publisher: American Meteorological Society
    Abstract: ccumulating gridded fields over time greatly magnifies the impact of impulse noise in the individual grids. A quality control method that takes advantage of spatial and temporal coherence can reduce the impact of such noise ...
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    Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 006:;page 2175
    Author(s): Lagerquist, Ryan;McGovern, Amy;Smith, Travis
    Publisher: American Meteorological Society
    Abstract: AbstractThunderstorms in the United States cause over 100 deaths and $10 billion (U.S. dollars) in damage per year, much of which is attributable to straight-line (nontornadic) wind. This paper describes a machine-learning ...
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    An Automated Technique to Quality Control Radar Reflectivity Data 

    Source: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 003:;page 288
    Author(s): Lakshmanan, Valliappa; Fritz, Angela; Smith, Travis; Hondl, Kurt; Stumpf, Gregory
    Publisher: American Meteorological Society
    Abstract: Echoes in radar reflectivity data do not always correspond to precipitating particles. Echoes on radar may result from biological targets such as insects, birds, or wind-borne particles; from anomalous propagation or ground ...
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    Hail Swaths Observed from Satellite Data and Their Relation to Radar and Surface-Based Observations: A Case Study from Iowa in 2009 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 003:;page 796
    Author(s): Gallo, Kevin; Smith, Travis; Jungbluth, Karl; Schumacher, Philip
    Publisher: American Meteorological Society
    Abstract: everal storms produced extensive hail damage over Iowa on 9 August 2009. The hail associated with these supercells was observed with radar data, reported by surface observers, and the resulting hail swaths were identified ...
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    An Automated Method for Depicting Mesocyclone Paths and Intensities 

    Source: Weather and Forecasting:;2012:;volume( 028 ):;issue: 003:;page 570
    Author(s): Miller, Madison L.; Lakshmanan, Valliappa; Smith, Travis M.
    Publisher: American Meteorological Society
    Abstract: he location and intensity of mesocyclone circulations can be tracked in real time by accumulating azimuthal shear values over time at every location of a uniform spatial grid. Azimuthal shear at low (0?3 km AGL) and midlevels ...
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    A Damaging Downburst Prediction and Detection Algorithm for the WSR-88D 

    Source: Weather and Forecasting:;2004:;volume( 019 ):;issue: 002:;page 240
    Author(s): Smith, Travis M.; Elmore, Kimberly L.; Dulin, Shannon A.
    Publisher: American Meteorological Society
    Abstract: The problem of predicting the onset of damaging downburst winds from high-reflectivity storm cells that develop in an environment of weak vertical shear with Weather Surveillance Radar-1988 Doppler (WSR-88D) is examined. ...
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    The Warning Decision Support System–Integrated Information 

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 003:;page 596
    Author(s): Lakshmanan, Valliappa; Smith, Travis; Stumpf, Gregory; Hondl, Kurt
    Publisher: American Meteorological Society
    Abstract: The Warning Decision Support System?Integrated Information (WDSS-II) is the second generation of a system of tools for the analysis, diagnosis, and visualization of remotely sensed weather data. WDSS-II provides a number ...
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    Rapid Sampling of Severe Storms by the National Weather Radar Testbed Phased Array Radar 

    Source: Weather and Forecasting:;2008:;volume( 023 ):;issue: 005:;page 808
    Author(s): Heinselman, Pamela L.; Priegnitz, David L.; Manross, Kevin L.; Smith, Travis M.; Adams, Richard W.
    Publisher: American Meteorological Society
    Abstract: A key advantage of the National Weather Radar Testbed Phased Array Radar (PAR) is the capability to adaptively scan storms at higher temporal resolution than is possible with the Weather Surveillance Radar-1988 Doppler ...
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