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    Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality 

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 012:;page 1710
    Author(s): Beaver, Scott; Palazoglu, Ahmet
    Publisher: American Meteorological Society
    Abstract: A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based ...
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    A Statistical Framework to Identify the Influence of Large-Scale Weather Events on Regional Air Pollution 

    Source: Journal of Applied Meteorology and Climatology:;2011:;volume( 050 ):;issue: 012:;page 2376
    Author(s): Singh, Angadh; Palazoglu, Ahmet
    Publisher: American Meteorological Society
    Abstract: egional air pollution episodes occur as a result of increased emissions and prevalence of conducive meteorological conditions. The frequency of occurrence of such favorable conditions on a regional scale may be influenced ...
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    Cluster Sequencing to Analyze Synoptic Transitions Affecting Regional Ozone 

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 003:;page 901
    Author(s): Beaver, Scott; Palazoglu, Ahmet; Tanrikulu, Saffet
    Publisher: American Meteorological Society
    Abstract: Synoptic conditions are known to strongly influence mesoscale flows and hence local ozone levels in the San Francisco Bay Area of California. Sets of individual days sharing certain combinations of synoptic features ...
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    Pattern-Based Evaluation of Coupled Meteorological and Air Quality Models 

    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 010:;page 2077
    Author(s): Beaver, Scott; Tanrikulu, Saffet; Palazoglu, Ahmet; Singh, Angadh; Soong, Su-Tzai; Jia, Yiqin; Tran, Cuong; Ainslie, Bruce; Steyn, Douw G.
    Publisher: American Meteorological Society
    Abstract: A novel pattern-based model evaluation technique is proposed and demonstrated for air quality models (AQMs) driven by meteorological model (MM) output. The evaluation technique is applied directly to the MM output; however, ...
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