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    Challenges in Numerical Weather Prediction of the 10 August 2020 Midwestern Derecho: Examples from the FV3-LAM 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 008:;page 1429
    Author(s): Gallus, William A.; Harrold, Michelle A.
    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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    Stochastically Perturbed Parameterizations in an HRRR-Based Ensemble 

    Source: Monthly Weather Review:;2018:;volume 147:;issue 001:;page 153
    Author(s): Jankov, Isidora; Beck, Jeffrey; Wolff, Jamie; Harrold, Michelle; Olson, Joseph B.; Smirnova, Tatiana; Alexander, Curtis; Berner, Judith
    Publisher: American Meteorological Society
    Abstract: A stochastically perturbed parameterization (SPP) approach that spatially and temporally perturbs parameters and variables in the Mellor?Yamada?Nakanishi?Niino planetary boundary layer scheme (PBL) and introduces initialization ...
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    Mesoscale Model Evaluation Testbed (MMET): A Resource for Transitioning NWP Innovations from Research to Operations (R2O) 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 011:;page 2135
    Author(s): Wolff, Jamie K.; Harrold, Michelle; Hertneky, Tracy; Aligo, Eric; Carley, Jacob R.; Ferrier, Brad; DiMego, Geoff; Nance, Louisa; Kuo, Ying-Hwa
    Publisher: American Meteorological Society
    Abstract: wide range of numerical weather prediction (NWP) innovations are under development in the research community that have the potential to positively impact operational models. The Developmental Testbed Center (DTC) helps ...
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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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