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    Quantification and Exploration of Diurnal Oscillations in Tropical Cyclones 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 006:;page 2105
    Author(s): Knaff, John A.; Slocum, Christopher J.; Musgrave, Kate D.
    Publisher: American Meteorological Society
    Abstract: AbstractDiurnal oscillations of infrared cloud-top brightness temperatures (Tbs) in tropical cyclones (TCs) as inferred from storm-centered, direction-relative longwave infrared (~11 ?m) imagery are quantified for Northern ...
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    An Operational Rapid Intensification Prediction Aid for the Western North Pacific 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 003:;page 799
    Author(s): Knaff, John A.; Sampson, Charles R.; Musgrave, Kate D.
    Publisher: American Meteorological Society
    Abstract: AbstractThis work describes tropical cyclone rapid intensification forecast aids designed for the western North Pacific tropical cyclone basin and for use at the Joint Typhoon Warning Center. Two statistical methods, linear ...
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    Statistical Tropical Cyclone Wind Radii Prediction Using Climatology and Persistence: Updates for the Western North Pacific 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 004:;page 1093
    Author(s): Knaff, John A.; Sampson, Charles R.; Musgrave, Kate D.
    Publisher: American Meteorological Society
    Abstract: AbstractThis note describes an updated tropical cyclone vortex climatology for the western North Pacific version of the operational wind radii climatology and persistence (i.e., CLIPER) model. The update addresses known ...
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    Is Tropical Cyclone Intensity Guidance Improving? 

    Source: Bulletin of the American Meteorological Society:;2013:;volume( 095 ):;issue: 003:;page 387
    Author(s): DeMaria, Mark; Sampson, Charles R.; Knaff, John A.; Musgrave, Kate D.
    Publisher: American Meteorological Society
    Abstract: absolute error of the official tropical cyclone (TC) intensity forecasts from the National Hurricane Center (NHC) and the Joint Typhoon Warning Center (JTWC) shows limited evidence of improvement over the past two decades. ...
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    Using Routinely Available Information to Estimate Tropical Cyclone Wind Structure 

    Source: Monthly Weather Review:;2015:;volume( 144 ):;issue: 004:;page 1233
    Author(s): Knaff, John A.; Slocum, Christopher J.; Musgrave, Kate D.; Sampson, Charles R.; Strahl, Brian R.
    Publisher: American Meteorological Society
    Abstract: relatively simple method to estimate tropical cyclone (TC) wind radii from routinely available information including storm data (location, motion, and intensity) and TC size is introduced. The method is based on a combination ...
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    Identifying and Categorizing Bias in AI/ML for Earth Sciences 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 003:;page E567
    Author(s): McGovern, Amy; Bostrom, Ann; McGraw, Marie; Chase, Randy J.; Gagne, David John; Ebert-Uphoff, Imme; Musgrave, Kate D.; Schumacher, Andrea
    Publisher: American Meteorological Society
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    Further Improvements to the Statistical Hurricane Intensity Prediction Scheme Using Tropical Cyclone Rainfall and Structural Features 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 006:;page 1587
    Author(s): Shimada, Udai; Owada, Hiromi; Yamaguchi, Munehiko; Iriguchi, Takeshi; Sawada, Masahiro; Aonashi, Kazumasa; DeMaria, Mark; Musgrave, Kate D.
    Publisher: American Meteorological Society
    Abstract: AbstractThe Statistical Hurricane Intensity Prediction Scheme (SHIPS) is a multiple regression model for forecasting tropical cyclone (TC) intensity [both central pressure (Pmin) and maximum wind speed (Vmax)]. To further ...
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    The Development and Evaluation of a Tropical Cyclone Probabilistic Landfall Forecast Product 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 008:;page 1363
    Author(s): Trabing, Benjamin C.; Musgrave, Kate D.; DeMaria, Mark; Zachry, Brian C.; Brennan, Michael J.; Rappaport, Edward N.
    Publisher: American Meteorological Society
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