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    Environment Canada's Experimental Numerical Weather Prediction Systems for the Vancouver 2010 Winter Olympic and Paralympic Games

    Source: Bulletin of the American Meteorological Society:;2010:;volume( 091 ):;issue: 008::page 1073
    Author:
    Mailhot, J.
    ,
    Bélair, S.
    ,
    Charron, M.
    ,
    Doyle, C.
    ,
    Joe, P.
    ,
    Abrahamowicz, M.
    ,
    Bernier, N. B.
    ,
    Denis, B.
    ,
    Erfani, A.
    ,
    Frenette, R.
    ,
    Giguère, A.
    ,
    Isaac, G. A.
    ,
    McLennan, N.
    ,
    McTaggart-Cowan, R.
    ,
    Milbrandt, J.
    ,
    Tong, L.
    DOI: 10.1175/2010BAMS2913.1
    Publisher: American Meteorological Society
    Abstract: The 2010 Winter Olympic and Paralympic Games took place in Vancouver, British Columbia, Canada, on 12?28 February and 12?21 March 2010, respectively. Weather forecasting presents specific challenges at the various Olympic venues, which are located in complex coastal terrain and are often characterized by tricky weather conditions, such as high winds, low visibility, and rapidly varying precipitation types and intensity. In addition to its current operational products, and in order to provide the best possible guidance and support to the Olympic Forecast Team, Environment Canada has developed several experimental numerical weather prediction systems for the games. These include 1) a regional ensemble prediction system (REPS), 2) high-resolution numerical modeling (down to 1-km horizontal grid spacing), and 3) surface modeling at the microscales (100-m grid spacing). The REPS is based on the limited-area version of the Global Environmental Multiscale model (GEM-LAM), with 20 members at 33-km horizontal grid spacing. The high-resolution models include 2.5- and 1-km grid-spacing configurations of the GEM-LAM, with improved cloud microphysics, geophysical fields, and radiation and cloud?radiation interactions. Finally, two innovative approaches are used to adapt and refine forecasts locally and to better predict surface characteristics, such as snow conditions and near-surface air temperatures. A microscale 2D surface system covers the Olympic venues with forcing from the operational regional and global models. Based on a similar strategy, a single-point model uses surface observations as forcing. The configurations of these experimental numerical weather prediction systems are described, together with some examples and verification results from the winters of 2008 and 2009 using the enhanced mesoscale observing network recently set up for the Olympics.
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      Environment Canada's Experimental Numerical Weather Prediction Systems for the Vancouver 2010 Winter Olympic and Paralympic Games

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4211559
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    contributor authorMailhot, J.
    contributor authorBélair, S.
    contributor authorCharron, M.
    contributor authorDoyle, C.
    contributor authorJoe, P.
    contributor authorAbrahamowicz, M.
    contributor authorBernier, N. B.
    contributor authorDenis, B.
    contributor authorErfani, A.
    contributor authorFrenette, R.
    contributor authorGiguère, A.
    contributor authorIsaac, G. A.
    contributor authorMcLennan, N.
    contributor authorMcTaggart-Cowan, R.
    contributor authorMilbrandt, J.
    contributor authorTong, L.
    date accessioned2017-06-09T16:33:05Z
    date available2017-06-09T16:33:05Z
    date copyright2010/08/01
    date issued2010
    identifier issn0003-0007
    identifier otherams-69845.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211559
    description abstractThe 2010 Winter Olympic and Paralympic Games took place in Vancouver, British Columbia, Canada, on 12?28 February and 12?21 March 2010, respectively. Weather forecasting presents specific challenges at the various Olympic venues, which are located in complex coastal terrain and are often characterized by tricky weather conditions, such as high winds, low visibility, and rapidly varying precipitation types and intensity. In addition to its current operational products, and in order to provide the best possible guidance and support to the Olympic Forecast Team, Environment Canada has developed several experimental numerical weather prediction systems for the games. These include 1) a regional ensemble prediction system (REPS), 2) high-resolution numerical modeling (down to 1-km horizontal grid spacing), and 3) surface modeling at the microscales (100-m grid spacing). The REPS is based on the limited-area version of the Global Environmental Multiscale model (GEM-LAM), with 20 members at 33-km horizontal grid spacing. The high-resolution models include 2.5- and 1-km grid-spacing configurations of the GEM-LAM, with improved cloud microphysics, geophysical fields, and radiation and cloud?radiation interactions. Finally, two innovative approaches are used to adapt and refine forecasts locally and to better predict surface characteristics, such as snow conditions and near-surface air temperatures. A microscale 2D surface system covers the Olympic venues with forcing from the operational regional and global models. Based on a similar strategy, a single-point model uses surface observations as forcing. The configurations of these experimental numerical weather prediction systems are described, together with some examples and verification results from the winters of 2008 and 2009 using the enhanced mesoscale observing network recently set up for the Olympics.
    publisherAmerican Meteorological Society
    titleEnvironment Canada's Experimental Numerical Weather Prediction Systems for the Vancouver 2010 Winter Olympic and Paralympic Games
    typeJournal Paper
    journal volume91
    journal issue8
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/2010BAMS2913.1
    journal fristpage1073
    journal lastpage1085
    treeBulletin of the American Meteorological Society:;2010:;volume( 091 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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