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    Comments on “A Comparison of Temperature and Wind Measurements from ACARS-Equipped Aircraft and Rawinsondes” 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 003:;page 1037
    Author(s): Benjamin, Stanley G.; Moninger, William R.
    Publisher: American Meteorological Society
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    The Influence of a Capping Inversion on the Dynamic and. Convective Instability of a Boundary Layer Model with Shear 

    Source: Journal of the Atmospheric Sciences:;1975:;Volume( 032 ):;issue: 011:;page 2111
    Author(s): Gossard, Earl E.; Moninger, William R.
    Publisher: American Meteorological Society
    Abstract: The dynamic instability and the kinematics of a multi-layer, shear model of a convective boundary layer are analyzed. Important features of the model include a capping temperature inversion that may or may not be accompanied ...
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    Automated Meteorological Reports from Commercial Aircraft 

    Source: Bulletin of the American Meteorological Society:;2003:;volume( 084 ):;issue: 002:;page 203
    Author(s): Moninger, William R.; Mamrosh, Richard D.; Pauley, Patricia M.
    Publisher: American Meteorological Society
    Abstract: Commercial aircraft now provide over 130,000 meteorological observations per day, including temperature,winds, and in some cases, humidity, vertical wind gust, or eddy dissipation rate (turbulence). The temperature and ...
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    The Weather Information and Skill Experiment (WISE): The Effect of Varying Levels of Information on Forecast Skill 

    Source: Weather and Forecasting:;1993:;volume( 008 ):;issue: 001:;page 25
    Author(s): Heideman, Kenneth F.; Stewart, Thomas R.; Moninger, William R.; Reagan-Cirincione, Patricia
    Publisher: American Meteorological Society
    Abstract: The relationship between the quality and quantity of information available to meteorologists and the skill of their forecasts was investigated. Twelve meteorologists were asked to make probabilistic forecasts of significant ...
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    Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle 

    Source: Monthly Weather Review:;2009:;volume( 138 ):;issue: 004:;page 1319
    Author(s): Benjamin, Stanley G.; Jamison, Brian D.; Moninger, William R.; Sahm, Susan R.; Schwartz, Barry E.; Schlatter, Thomas W.
    Publisher: American Meteorological Society
    Abstract: An assessment is presented on the relative forecast impact on the performance of a numerical weather prediction model from eight different observation data types: aircraft, profiler, radiosonde, velocity azimuth display ...
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    Analysis of Expert Judgment in a Hail Forecasting Experiment 

    Source: Weather and Forecasting:;1989:;volume( 004 ):;issue: 001:;page 24
    Author(s): Stewart, Thomas R.; Moninger, William R.; Brady, Ray H.; Merrem, Frank H.; Stewart, Thomas R.; Grassia, Janet
    Publisher: American Meteorological Society
    Abstract: This study compared meteorologists, an expert system, and simple weighted-sum models in a limited-information hail forecasting experiment. It was found that forecasts made by meteorologists were closely approximated by an ...
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    Evaluation of Regional Aircraft Observations Using TAMDAR 

    Source: Weather and Forecasting:;2009:;volume( 025 ):;issue: 002:;page 627
    Author(s): Moninger, William R.; Benjamin, Stanley G.; Jamison, Brian D.; Schlatter, Thomas W.; Smith, Tracy Lorraine; Szoke, Edward J.
    Publisher: American Meteorological Society
    Abstract: A multiyear evaluation of a regional aircraft observation system [Tropospheric Aircraft Meteorological Data Reports (TAMDAR)] is presented. TAMDAR observation errors are compared with errors in traditional reports from ...
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    Evaluating Operational and Experimental HRRR Model Forecasts of Atmospheric River Events in California 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 1925
    Author(s): English, Jason M.;Turner, David D.;Alcott, Trevor I.;Moninger, William R.;Bytheway, Janice L.;Cifelli, Robert;Marquis, Melinda
    Publisher: American Meteorological Society
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