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    The Importance of Understanding Mesoscale Model Parameterization Schemes for Weather Forecasting 

    Source: Weather and Forecasting:;1995:;volume( 010 ):;issue: 004:;page 716
    Author(s): Cortinas, John V.; Stensrud, David J.
    Publisher: American Meteorological Society
    Abstract: A severe weather outbreak that occurred on 21?23 November 1992 in the southern United States is used to illustrate how an understanding of model parameterization schemes can help in the evaluation and utilization of mesoscale ...
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    Local and Synoptic Environments Associated with Freezing Rain in the Contiguous United States 

    Source: Weather and Forecasting:;2002:;volume( 017 ):;issue: 001:;page 47
    Author(s): Robbins, Chris C.; Cortinas, John V.
    Publisher: American Meteorological Society
    Abstract: Local and synoptic conditions associated with freezing-rain events in the continental United States, as well as the temporal and spatial variability of these conditions, have been documented for the period 1976?90. It had ...
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    Discriminating between Tornadic and Nontornadic Thunderstorms Using Mesoscale Model Output 

    Source: Weather and Forecasting:;1997:;volume( 012 ):;issue: 003:;page 613
    Author(s): Stensrud, David J.; Cortinas, John V.; Brooks, Harold E.
    Publisher: American Meteorological Society
    Abstract: The ability to discriminate between tornadic and nontornadic thunderstorms is investigated using a mesoscale model. Nine severe weather events are simulated: four events are tornadic supercell thunderstorm outbreaks that ...
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    Comments on “An Operational Ingredients-Based Methodology for Forecasting Midlatitude Winter Season Precipitation” 

    Source: Weather and Forecasting:;2002:;volume( 017 ):;issue: 001:;page 160
    Author(s): Schultz, David M.; Cortinas, John V.; Doswell, Charles A.
    Publisher: American Meteorological Society
    Abstract: Wetzel and Martin present an ingredients-based methodology for forecasting winter season precipitation. Although they are to be commended for offering a framework for winter-weather forecasting, disagreements arise with ...
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    Improving Snowfall Forecasting by Diagnosing Snow Density 

    Source: Weather and Forecasting:;2003:;volume( 018 ):;issue: 002:;page 264
    Author(s): Roebber, Paul J.; Bruening, Sara L.; Schultz, David M.; Cortinas, John V.
    Publisher: American Meteorological Society
    Abstract: Current prediction of snowfall amounts is accomplished either by using empirical techniques or by using a standard modification of liquid equivalent precipitation such as the 10-to-1 rule. This rule, which supposes that ...
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    Short-Range Ensemble Forecasts of Precipitation Type 

    Source: Weather and Forecasting:;2005:;volume( 020 ):;issue: 004:;page 609
    Author(s): Wandishin, Matthew S.; Baldwin, Michael E.; Mullen, Steven L.; Cortinas, John V.
    Publisher: American Meteorological Society
    Abstract: Short-range ensemble forecasting is extended to a critical winter weather problem: forecasting precipitation type. Forecast soundings from the operational NCEP Short-Range Ensemble Forecast system are combined with five ...
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    educational affairs 

    Source: Bulletin of the American Meteorological Society:;1996:;volume( 077 ):;issue: 012:;page 2925
    Author(s): Cortinas, John V.; Schneider, Jeanne M.; Straka, Jerry M.; Beasley, William H.; Machacek, Cynthia M.
    Publisher: American Meteorological Society
    Abstract: The 1995 Research Experiences for Undergraduates program at the Oklahoma Weather Center introduced 14 students to the rigor of meteorological research, as well as provided them with information to help make informed career ...
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