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    Advancing Tropical Cyclone Precipitation Forecast Verification Methods and Tools 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 009:;page 1589
    Author(s): Newman, Kathryn M.; Brown, Barbara; Gotway, John Halley; Bernardet, Ligia; Biswas, Mrinal; Jensen, Tara; Nance, Louisa
    Publisher: American Meteorological Society
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    The Impacts of Using Mixed Physics in the Community Leveraged Unified Ensemble 

    Source: Weather and Forecasting:;2019:;volume 034:;issue 004:;page 849
    Author(s): Gallus, William A.; Wolff, Jamie; Gotway, John Halley; Harrold, Michelle; Blank, Lindsay; Beck, Jeff
    Publisher: American Meteorological Society
    Abstract: AbstractA well-known problem in high-resolution ensembles has been a lack of sufficient spread among members. Modelers often have used mixed physics to increase spread, but this can introduce problems including computational ...
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    Beyond the Basics: Evaluating Model-Based Precipitation Forecasts Using Traditional, Spatial, and Object-Based Methods 

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 006:;page 1451
    Author(s): Wolff, Jamie K.; Harrold, Michelle; Fowler, Tressa; Gotway, John Halley; Nance, Louisa; Brown, Barbara G.
    Publisher: American Meteorological Society
    Abstract: hile traditional verification methods are commonly used to assess numerical model quantitative precipitation forecasts (QPFs) using a grid-to-grid approach, they generally offer little diagnostic information or reasoning ...
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    Enhancing the Student Experience with Numerical Weather Prediction: Advantages of Integrating Container and Cloud Technologies into Course Curricula 

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 002
    Author(s): Wolff, Jamie K.;Fossell, Kathryn R.;Harrold, Michelle;Kavulich, Michael;Gotway, John Halley
    Publisher: American Meteorological Society
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    Multiyear Droughts and Pluvials over the Upper Colorado River Basin and Associated Circulations 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 003:;page 799
    Author(s): Abatan, Abayomi A.; Gutowski, William J.; Ammann, Caspar M.; Kaatz, Laurna; Brown, Barbara G.; Buja, Lawrence; Bullock, Randy; Fowler, Tressa; Gilleland, Eric; Gotway, John Halley
    Publisher: American Meteorological Society
    Abstract: his study analyzes spatial and temporal characteristics of multiyear droughts and pluvials over the southwestern United States with a focus on the upper Colorado River basin. The study uses two multiscalar moisture indices: ...
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    Initial Development and Testing of a Convection-Allowing Model Scorecard 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012:;page ES367
    Author(s): Gallo, Burkely T.;Kalb, Christina P.;Gotway, John Halley;Fisher, Henry H.;Roberts, Brett;Jirak, Israel L.;Clark, Adam J.;Alexander, Curtis;Jensen, Tara L.
    Publisher: American Meteorological Society
    Abstract: Evaluation of numerical weather prediction (NWP) is critical for both forecasters and researchers. Through such evaluation, forecasters can understand the strengths and weaknesses of NWP guidance, and researchers can work ...
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    Scorecards for Convection-Allowing Models 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 101 ):;issue: 001:;page 59
    Author(s): Gallo, Burkely T.;Kalb, Christina P.;Gotway, John Halley;Fisher, Henry H.;Roberts, Brett;Jirak, Israel L.;Clark, Adam J.;Alexander, Curtis;Jensen, Tara L.
    Publisher: American Meteorological Society
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    The Model Evaluation Tools (MET): More than a decade of community-supported forecast verification 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( ):;issue: -:;page 1
    Author(s): Brown, Barbara;Jensen, Tara;Gotway, John Halley;Bullock, Randy;Gilleland, Eric;Fowler, Tressa;Newman, Kathryn;Adriaansen, Dan;Blank, Lindsay;Burek, Tatiana;Harrold, Michelle;Hertneky, Tracy;Kalb, Christina;Kucera, Paul;Nance, Louisa;Opatz, John;Vigh, Jonathan;Wolff, Jamie
    Publisher: American Meteorological Society
    Abstract: MET is a community-based package of state-of-the-art tools to evaluate predictions of weather, climate, and other phenomena, with capabilities to display and analyze verification results via the METplus system.Forecast ...
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