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    Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain

    Access Status
    Fulltext not available
    Authors
    Mughal, M.
    Lynch, M.
    Yu, F.
    McGann, Brendan
    Jeanneret, F.
    Sutton, J.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Mughal, M. and Lynch, M. and Yu, F. and McGann, B. and Jeanneret, F. and Sutton, J. 2017. Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain. Environmental Modelling & Software. 90: pp. 107-125.
    Source Title
    Environmental Modelling & Software
    DOI
    10.1016/j.envsoft.2017.01.009
    ISSN
    1364-8152
    School
    Department of Physics and Astronomy
    URI
    http://hdl.handle.net/20.500.11937/51220
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 Elsevier LtdA physically-based wind model is applied to determine wind speed and direction and to conduct a model sensitivity analysis. The focus is the East African site of the Lake Turkana Wind Farm, characterized by complex terrain and high diurnal variability that creates a nocturnal jet of typically 15 m/s. Observations from three tall meteorological masts are compared with Weather Research and Forecast (WRF) model outputs. WRF is configured with four domains nested down to 900 m spatial resolution. The model is tested with initialization fields from two different sources, optimised using different grid configurations and parameterization schemes. Comparing model and data from 3 tall masts A, B and C yields that the primary source of error in WRF model simulation in a complex terrain is due to incorrect specification of boundary fields used to initialize the model. RMSEs achieved in this research are =2 m/s representing good model performance (Emery et al., 2001).

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