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Evaluating and guiding weather modification efforts with advanced three-dimensional numerical models

    • MMM Div

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Several recent developments have expanded our capabilities to understand and document precipitation processes. One of these developments is the recent advances in computer hardware and software providing the capability to run advanced numerical cloud/mesoscale models. These numerical models now provide the opportunity to conduct detailed time-dependant simulations in three spatial dimensions of seeding plumes and their interaction with cloud and precipitation development in order to verify and test various seeding hypothesis. In addition, these numerical models can be run in real time to guide research and seeding operations in weather modification field programs. The Arizona Atmospheric Modification program, a combined effort between NOAA and the Arizona Department of Water Resources through the University of Arizona is using this approach to study the feasibility of winter snowpack enhancement over the Mogollon Rim in central Arizona. The Clark time-dependant, three-dimensional numerical model is used for this purpose. Preliminary results using this numerical model in weather modification efforts will be presented.

    Original languageEnglish
    Title of host publicationManagement of Irrigation and Drainage Systems
    Subtitle of host publicationIntegrated Perspectives
    PublisherPubl by ASCE
    Pages480-487
    Number of pages8
    ISBN (Print)0872629198
    StatePublished - 1993
    EventManagement of Irrigation and Drainage Systems : Integrated Perspectives - Park City, UT, USA
    Duration: Jul 21 1993Jul 23 1993

    Publication series

    NameManagement of Irrigation and Drainage Systems : Integrated Perspectives

    Conference

    ConferenceManagement of Irrigation and Drainage Systems : Integrated Perspectives
    CityPark City, UT, USA
    Period07/21/9307/23/93

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