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    A Semi-Implicit Version of the MPAS-Atmosphere Dynamical Core 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 009:;page 3838
    Author(s): Sandbach, Steven; Thuburn, John; Vassilev, Danail; Duda, Michael G.
    Publisher: American Meteorological Society
    Abstract: n important question for atmospheric modeling is the viability of semi-implicit time integration schemes on massively parallel computing architectures. Semi-implicit schemes can provide increased stability and accuracy. ...
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    Analyzing the Grell–Freitas Convection Scheme from Hydrostatic to Nonhydrostatic Scales within a Global Model 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 006:;page 2285
    Author(s): Fowler, Laura D.; Skamarock, William C.; Grell, Georg A.; Freitas, Saulo R.; Duda, Michael G.
    Publisher: American Meteorological Society
    Abstract: he authors implemented the Grell?Freitas (GF) parameterization of convection in which the cloud-base mass flux varies quadratically as a function of the convective updraft fraction in the global nonhydrostatic Model for ...
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    Evaluation of Global Atmospheric Solvers Using Extensions of the Jablonowski and Williamson Baroclinic Wave Test Case 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 009:;page 3116
    Author(s): Park, Sang-Hun; Skamarock, William C.; Klemp, Joseph B.; Fowler, Laura D.; Duda, Michael G.
    Publisher: American Meteorological Society
    Abstract: he hydrostatic and nonhydrostatic atmospheric solvers within the Model for Prediction Across Scales (MPAS) are tested using an extension of Jablonowski and Williamson baroclinic wave test case that includes moisture. This ...
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    Limited-Area Atmospheric Modeling Using an Unstructured Mesh 

    Source: Monthly Weather Review:;2018:;volume 146:;issue 010:;page 3445
    Author(s): Skamarock, William C.; Duda, Michael G.; Ha, Soyoung; Park, Sang-Hun
    Publisher: American Meteorological Society
    Abstract: AbstractA regional configuration of the atmospheric component of the Model for Prediction Across Scales (MPAS-A) is described and evaluated. It employs horizontally unstructured spherical centroidal Voronoi meshes (nominally ...
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    Moderation of Summertime Heat Island Phenomena via Modification of the Urban Form in the Tokyo Metropolitan Area 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008:;page 1886
    Author(s): Adachi, Sachiho A.; Kimura, Fujio; Kusaka, Hiroyuki; Duda, Michael G.; Yamagata, Yoshiki; Seya, Hajime; Nakamichi, Kumiko; Aoyagi, Toshinori
    Publisher: American Meteorological Society
    Abstract: his study investigated the moderation of the urban heat island via changes in the urban form in the Tokyo metropolitan area (TMA). Two urban scenarios with the same population as that of the current urban form were used ...
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    A Multiscale Nonhydrostatic Atmospheric Model Using Centroidal Voronoi Tesselations and C-Grid Staggering 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 009:;page 3090
    Author(s): Skamarock, William C.; Klemp, Joseph B.; Duda, Michael G.; Fowler, Laura D.; Park, Sang-Hun; Ringler, Todd D.
    Publisher: American Meteorological Society
    Abstract: he formulation of a fully compressible nonhydrostatic atmospheric model called the Model for Prediction Across Scales?Atmosphere (MPAS-A) is described. The solver is discretized using centroidal Voronoi meshes and a C-grid ...
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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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    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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian