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    The Development of a Prototype Coupled Analysis and Nowcasting Knowledge-based System for Complex-Terrain Interaction Studies

    Source: Weather and Forecasting:;1992:;volume( 007 ):;issue: 002::page 353
    Author:
    Orgill, Montie M.
    ,
    Kincheloe, John D.
    ,
    Sutherland, Robert A.
    DOI: 10.1175/1520-0434(1992)007<0353:TDOAPC>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: An experimental weather classification, analysis, and nowcasting system, based upon a combination of artificial intelligence techniques and conventional numerical modeling, and designed for use as a real-time range/field forecasting aid, is described. In particular, a computer-based prototype coupled knowledge-based system, called PROCANS (Prototype Coupled Analysis and Nowcasting System), tailored for applications at the U.S. Army field testing range at Fort Hunter Liggett, California, is used as an example to demonstrate and evaluate the overall concept. The components of the system are: 1) a rule-based meteorological scenario evaluator for analysis and classification of weather scenarios, 2) a nowcaster that uses four analogical and rule-based expert subsystems for nowcasting radiation fog, wind gustiness, thunderstorms, and precipitation, 3) a numerical transport and diffusion module based upon either Gaussian or Monte Carlo particle-trajectory models to simulate airflow and diffusion patterns, and 4) a master database for storing information for possible retrieval, comparing current weather scenarios with past scenarios for possible matching and for analogical and conceptual reasoning to aid future predictions. A preliminary evaluation of PROCANS shows that coupled knowledge-based systems have potential as an integrated local analysis and prediction tool or forecaster's aid for field operations such as smoke screening.
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      The Development of a Prototype Coupled Analysis and Nowcasting Knowledge-based System for Complex-Terrain Interaction Studies

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4163401
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    contributor authorOrgill, Montie M.
    contributor authorKincheloe, John D.
    contributor authorSutherland, Robert A.
    date accessioned2017-06-09T14:46:33Z
    date available2017-06-09T14:46:33Z
    date copyright1992/06/01
    date issued1992
    identifier issn0882-8156
    identifier otherams-2650.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4163401
    description abstractAn experimental weather classification, analysis, and nowcasting system, based upon a combination of artificial intelligence techniques and conventional numerical modeling, and designed for use as a real-time range/field forecasting aid, is described. In particular, a computer-based prototype coupled knowledge-based system, called PROCANS (Prototype Coupled Analysis and Nowcasting System), tailored for applications at the U.S. Army field testing range at Fort Hunter Liggett, California, is used as an example to demonstrate and evaluate the overall concept. The components of the system are: 1) a rule-based meteorological scenario evaluator for analysis and classification of weather scenarios, 2) a nowcaster that uses four analogical and rule-based expert subsystems for nowcasting radiation fog, wind gustiness, thunderstorms, and precipitation, 3) a numerical transport and diffusion module based upon either Gaussian or Monte Carlo particle-trajectory models to simulate airflow and diffusion patterns, and 4) a master database for storing information for possible retrieval, comparing current weather scenarios with past scenarios for possible matching and for analogical and conceptual reasoning to aid future predictions. A preliminary evaluation of PROCANS shows that coupled knowledge-based systems have potential as an integrated local analysis and prediction tool or forecaster's aid for field operations such as smoke screening.
    publisherAmerican Meteorological Society
    titleThe Development of a Prototype Coupled Analysis and Nowcasting Knowledge-based System for Complex-Terrain Interaction Studies
    typeJournal Paper
    journal volume7
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1992)007<0353:TDOAPC>2.0.CO;2
    journal fristpage353
    journal lastpage372
    treeWeather and Forecasting:;1992:;volume( 007 ):;issue: 002
    contenttypeFulltext
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