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dc.contributor.authorMughal, Muhammad Omer
dc.contributor.supervisorProf. Mervyn Lynch
dc.contributor.supervisorDr Brendan McGann
dc.date.accessioned2017-01-30T09:53:12Z
dc.date.available2017-01-30T09:53:12Z
dc.date.created2016-12-02T00:34:41Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.11937/743
dc.description.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.

dc.languageen
dc.publisherCurtin University
dc.titleWind prediction modelling and validation using coherent Doppler LIDAR data
dc.typeThesis
dcterms.educationLevelPh.D.
curtin.departmentDepartment of Physics and Astronomy
curtin.accessStatusOpen access


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