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    Evaluation of Ensemble Snowfall Forecasts Using Operationally Used Snow-to-Liquid Ratios in Five Winter Storms 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 010:;page 2135
    Author(s): Rosenow, Andrew A.; Reeves, Heather D.; Tripp, Daniel D.
    Publisher: American Meteorological Society
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    Applications of Uncrewed Aerial Vehicles (UAVs) in Winter Precipitation-Type Forecasts 

    Source: Journal of Applied Meteorology and Climatology:;2021:;volume( 060 ):;issue: 003:;page 361
    Author(s): Tripp, Daniel D.;Martin, Elinor R.;Reeves, Heather D.
    Publisher: American Meteorological Society
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    Polarimetric Observations and Simulations of Sublimating Snow: Implications for Nowcasting 

    Source: Journal of Applied Meteorology and Climatology:;2021:;volume( 060 ):;issue: 008:;page 1035
    Author(s): Carlin, Jacob T.;Reeves, Heather D.;Ryzhkov, Alexander V.
    Publisher: American Meteorological Society
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    Evaluation of a Probabilistic Subfreezing Road Temperature Nowcast System Based on Machine Learning 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 012:;page 2427
    Author(s): Baldwin, Michael E.; Reeves, Heather D.; Rosenow, Andrew A.
    Publisher: American Meteorological Society
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    Toward the Development of an Impact-Based Decision Support Tool for Surface-Transportation Hazards. Part I: Tying Weather Variables to Road Hazards and Quantifying Impacts 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 008:;page 1117
    Author(s): Tobin, Dana M.; Kastman, Joshua S.; Nelson, James A.; Reeves, Heather D.
    Publisher: American Meteorological Society
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    Toward the Development of an Impact-Based Decision Support Tool for Surface-Transportation Hazards. Part II: An Hourly Winter Storm Severity Index 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 008:;page 1129
    Author(s): Tobin, Dana M.; Kastman, Joshua S.; Nelson, James A.; Reeves, Heather D.
    Publisher: American Meteorological Society
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    A Dual-Polarization Radar Signature of Hydrometeor Refreezing in Winter Storms 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 011:;page 2549
    Author(s): Kumjian, Matthew R.; Ryzhkov, Alexander V.; Reeves, Heather D.; Schuur, Terry J.
    Publisher: American Meteorological Society
    Abstract: olarimetric radar measurements in winter storms that produce ice pellets have revealed a unique signature that is indicative of ongoing hydrometeor refreezing. This refreezing signature is observed within the low-level ...
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    Verifying Forecast Precipitation Type with mPING 

    Source: Weather and Forecasting:;2015:;volume( 030 ):;issue: 003:;page 656
    Author(s): Elmore, Kimberly L.; Grams, Heather M.; Apps, Deanna; Reeves, Heather D.
    Publisher: American Meteorological Society
    Abstract: n winter weather, precipitation type is a pivotal characteristic because it determines the nature of most preparations that need to be made. Decisions about how to protect critical infrastructure, such as power lines and ...
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    A Polarimetric and Microphysical Investigation of the Northeast Blizzard of 8–9 February 2013 

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 006:;page 1271
    Author(s): Griffin, Erica M.; Schuur, Terry J.; Ryzhkov, Alexander V.; Reeves, Heather D.; Picca, Joseph C.
    Publisher: American Meteorological Society
    Abstract: n 8?9 February 2013, the northeastern United States experienced a historic winter weather event ranking among the top five worst blizzards in the region. Heavy snowfall and blizzard conditions occurred from northern New ...
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    Classification of Precipitation Types during Transitional Winter Weather Using the RUC Model and Polarimetric Radar Retrievals 

    Source: Journal of Applied Meteorology and Climatology:;2011:;volume( 051 ):;issue: 004:;page 763
    Author(s): Schuur, Terry J.; Park, Hyang-Suk; Ryzhkov, Alexander V.; Reeves, Heather D.
    Publisher: American Meteorological Society
    Abstract: new hydrometeor classification algorithm that combines thermodynamic output from the Rapid Update Cycle (RUC) model with polarimetric radar observations is introduced. The algorithm improves upon existing classification ...
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