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    The 30 May 1998 Spencer, South Dakota, Storm. Part II: Comparison of Observed Damage and Radar-Derived Winds in the Tornadoes 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 001:;page 97
    Author(s): Wurman, Joshua; Alexander, Curtis R.
    Publisher: American Meteorological Society
    Abstract: A violent supercell tornado passed through the town of Spencer, South Dakota, on the evening of 30 May 1998 producing large gradients in damage severity. The tornado was rated at F4 intensity by damage survey teams. A ...
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    The 30 May 1998 Spencer, South Dakota, Storm. Part I: The Structural Evolution and Environment of the Tornadoes 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 001:;page 72
    Author(s): Alexander, Curtis R.; Wurman, Joshua
    Publisher: American Meteorological Society
    Abstract: On the evening of 30 May 1998 atmospheric conditions across southeastern South Dakota led to the development of organized moist convection including several supercells. One such supercell was tracked by both a Weather ...
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    Centrifuging of Hydrometeors and Debris in Tornadoes: Radar-Reflectivity Patterns and Wind-Measurement Errors 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 006:;page 1501
    Author(s): Dowell, David C.; Alexander, Curtis R.; Wurman, Joshua M.; Wicker, Louis J.
    Publisher: American Meteorological Society
    Abstract: High-resolution Doppler radar observations of tornadoes reveal a distinctive tornado-scale signature with the following properties: a reflectivity minimum aloft inside the tornado core (described previously as an ?eye?), ...
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    Methods for Comparing Simulated and Observed Satellite Infrared Brightness Temperatures and What Do They Tell Us? 

    Source: Weather and Forecasting:;2016:;volume( 032 ):;issue: 001:;page 5
    Author(s): Griffin, Sarah M.; Otkin, Jason A.; Rozoff, Christopher M.; Sieglaff, Justin M.; Cronce, Lee M.; Alexander, Curtis R.
    Publisher: American Meteorological Society
    Abstract: n this study, the utility of dimensioned, neighborhood-based, and object-based forecast verification metrics for cloud verification is assessed using output from the experimental High Resolution Rapid Refresh (HRRRx) model ...
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    Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification 

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 008:;page 2317
    Author(s): Griffin, Sarah M.;Otkin, Jason A.;Rozoff, Christopher M.;Sieglaff, Justin M.;Cronce, Lee M.;Alexander, Curtis R.;Jensen, Tara L.;Wolff, Jamie K.
    Publisher: American Meteorological Society
    Abstract: AbstractIn this study, object-based verification using the method for object-based diagnostic evaluation (MODE) is used to assess the accuracy of cloud-cover forecasts from the experimental High-Resolution Rapid Refresh ...
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    Object-Based Verification of a Prototype Warn-on-Forecast System 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 005:;page 1225
    Author(s): Skinner, Patrick S.; Wheatley, Dustan M.; Knopfmeier, Kent H.; Reinhart, Anthony E.; Choate, Jessica J.; Jones, Thomas A.; Creager, Gerald J.; Dowell, David C.; Alexander, Curtis R.; Ladwig, Therese T.; Wicker, Louis J.; Heinselman, Pamela L.; Minnis, Patrick; Palikonda, Rabindra
    Publisher: American Meteorological Society
    Abstract: AbstractAn object-based verification methodology for the NSSL Experimental Warn-on-Forecast System for ensembles (NEWS-e) has been developed and applied to 32 cases between December 2015 and June 2017. NEWS-e forecast ...
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    Stratiform Cloud-Hydrometeor Assimilation for HRRR and RAP Model Short-Range Weather Prediction 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 008:;page 2673
    Author(s): Benjamin, Stanley G.;James, Eric P.;Hu, Ming;Alexander, Curtis R.;Ladwig, Therese T.;Brown, John M.;Weygandt, Stephen S.;Turner, David D.;Minnis, Patrick;Smith, William L.;Heidinger, Andrew K.
    Publisher: American Meteorological Society
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    Improvements to Lake-Effect Snow Forecasts Using a One-Way Air–Lake Model Coupling Approach 

    Source: Journal of Hydrometeorology:;2020:;volume( 021 ):;issue: 012:;page 2813
    Author(s): Fujisaki-Manome, Ayumi;Mann, Greg E.;Anderson, Eric J.;Chu, Philip Y.;Fitzpatrick, Lindsay E.;Benjamin, Stanley G.;James, Eric P.;Smirnova, Tatiana G.;Alexander, Curtis R.;Wright, David M.
    Publisher: American Meteorological Society
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    The Weather Research and Forecasting (WRF) Model: Overview, System Efforts, and Future Directions 

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 008:;page 1717
    Author(s): Powers, Jordan G.; Klemp, Joseph B.; Skamarock, William C.; Davis, Christopher A.; Dudhia, Jimy; Gill, David O.; Coen, Janice L.; Gochis, David J.; Ahmadov, Ravan; Peckham, Steven E.; Grell, Georg A.; Michalakes, John; Trahan, Samuel; Benjamin, Stanley G.; Alexander, Curtis R.; Dimego, Geoffrey J.; Wang, Wei; Schwartz, Craig S.; Romine, Glen S.; Liu, Zhiquan; Snyder, Chris; Chen, Fei; Barlage, Michael J.; Yu, Wei; Duda, Michael G.
    Publisher: American Meteorological Society
    Abstract: arguably the world?s most widely-used numerical weather prediction model, the Weather Research and Forecasting Model offers a spectrum of capabilities for an extensive range of applications.
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    The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment 

    Source: Bulletin of the American Meteorological Society:;2018:;volume 099:;issue 007:;page 1433
    Author(s): Clark, Adam J.; Jirak, Israel L.; Dembek, Scott R.; Creager, Gerry J.; Kong, Fanyou; Thomas, Kevin W.; Knopfmeier, Kent H.; Gallo, Burkely T.; Melick, Christopher J.; Xue, Ming; Brewster, Keith A.; Jung, Youngsun; Kennedy, Aaron; Dong, Xiquan; Markel, Joshua; Gilmore, Matthew; Romine, Glen S.; Fossell, Kathryn R.; Sobash, Ryan A.; Carley, Jacob R.; Ferrier, Brad S.; Pyle, Matthew; Alexander, Curtis R.; Weiss, Steven J.; Kain, John S.; Wicker, Louis J.; Thompson, Gregory; Adams-Selin, Rebecca D.; Imy, David A.
    Publisher: American Meteorological Society
    Abstract: AbstractOne primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA?s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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