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    A Long-Term WRF Meteorological Archive for Dispersion Simulations: Application to Controlled Tracer Experiments 

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 008:;page 2203
    Author(s): Ngan, Fong;Stein, Ariel F.
    Publisher: American Meteorological Society
    Abstract: AbstractA long-term archive of meteorological data using the Weather Research and Forecasting (WRF) Model was created to provide data that are compatible with the Hybrid Single-Particle Lagrangian Integrated Trajectory ...
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    Inline Coupling of WRF–HYSPLIT: Model Development and Evaluation Using Tracer Experiments 

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 006:;page 1162
    Author(s): Ngan, Fong; Stein, Ariel; Draxler, Roland
    Publisher: American Meteorological Society
    Abstract: he Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT), a Lagrangian dispersion model, has been coupled (inline) to the the Weather Research and Forecasting (WRF) Model meteorological model in such a ...
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    Fluid Modeling and the Evaluation of Inherent Uncertainty 

    Source: Journal of Applied Meteorology:;2001:;volume( 040 ):;issue: 010:;page 1769
    Author(s): Stein, Ariel F.; Wyngaard, John C.
    Publisher: American Meteorological Society
    Abstract: Atmospheric dispersion models are widely used to estimate the impact of nonreactive pollutant releases into the atmosphere. Most such models predict the ensemble-average concentration field, the average over a large ...
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    Incorporating Features from the Stochastic Time-Inverted Lagrangian Transport (STILT) Model into the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) Model: A Unified Dispersion Model for Time-Forward and Time-Reversed Applications 

    Source: Journal of Applied Meteorology and Climatology:;2021:;volume( 060 ):;issue: 006:;page 799
    Author(s): Loughner, Christopher P.;Fasoli, Benjamin;Stein, Ariel F.;Lin, John C.
    Publisher: American Meteorological Society
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    Verification of the NOAA Smoke Forecasting System: Model Sensitivity to the Injection Height 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 002:;page 379
    Author(s): Stein, Ariel F.; Rolph, Glenn D.; Draxler, Roland R.; Stunder, Barbara; Ruminski, Mark
    Publisher: American Meteorological Society
    Abstract: A detailed evaluation of NOAA?s Smoke Forecasting System (SFS) is a fundamental part of its development and further refinement. In this work, particulate matter with a diameter less than or equal to 2.5-?m (PM2.5) concentration ...
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    NOAA’s Air Resources Laboratory—75 Years of Research Linking Earth and Sky: A Historical Perspective 

    Source: Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 012:;page E2155
    Author(s): Stein, Ariel F.; Hicks, Bruce B.; Myles, LaToya; Simon, Margaret
    Publisher: American Meteorological Society
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    Evaluation of Lagrangian Particle Dispersion Models with Measurements from Controlled Tracer Releases 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 012:;page 2623
    Author(s): Hegarty, Jennifer; Draxler, Roland R.; Stein, Ariel F.; Brioude, Jerome; Mountain, Marikate; Eluszkiewicz, Janusz; Nehrkorn, Thomas; Ngan, Fong; Andrews, Arlyn
    Publisher: American Meteorological Society
    Abstract: hree widely used Lagrangian particle dispersion models (LPDMs)?the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), Stochastic Time-Inverted Lagrangian Transport (STILT), and Flexible Particle (FLEXPART) ...
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    Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 002:;page 361
    Author(s): Rolph, Glenn D.; Draxler, Roland R.; Stein, Ariel F.; Taylor, Albion; Ruminski, Mark G.; Kondragunta, Shobha; Zeng, Jian; Huang, Ho-Chun; Manikin, Geoffrey; McQueen, Jeffery T.; Davidson, Paula M.
    Publisher: American Meteorological Society
    Abstract: An overview of the National Oceanic and Atmospheric Administration?s (NOAA) current operational Smoke Forecasting System (SFS) is presented. This system is intended as guidance to air quality forecasters and the public for ...
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