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    Wind prediction modelling and validation using coherent Doppler LIDAR data

    246889_Mughal 2016.pdf (8.669Mb)
    Access Status
    Open access
    Authors
    Mughal, Muhammad Omer
    Date
    2016
    Supervisor
    Prof. Mervyn Lynch
    Dr Brendan McGann
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Physics and Astronomy
    URI
    http://hdl.handle.net/20.500.11937/743
    Collection
    • Curtin Theses
    Abstract

    A physically-based wind model is applied to determine wind speed and direction and to conduct a model sensitivity analysis. The model is later coupled with a microclimatic model utilizing a novel technique to support short term forecasting at Lake Turkana Wind Fam site, Kenya. Improved statistical comparisons of wind speed and direction are achieved between the model and in situ observations. Coherent Doppler LIDAR observations agreed well with the microclimatic model.

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