Wind prediction modelling and validation using coherent Doppler LIDAR data
| dc.contributor.author | Mughal, Muhammad Omer | |
| dc.contributor.supervisor | Prof. Mervyn Lynch | |
| dc.contributor.supervisor | Dr Brendan McGann | |
| dc.date.accessioned | 2017-01-30T09:53:12Z | |
| dc.date.available | 2017-01-30T09:53:12Z | |
| dc.date.created | 2016-12-02T00:34:41Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://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.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Wind prediction modelling and validation using coherent Doppler LIDAR data | |
| dc.type | Thesis | |
| dcterms.educationLevel | PhD | |
| curtin.department | Department of Physics and Astronomy | |
| curtin.accessStatus | Open access |