Wind prediction modelling and validation using coherent Doppler LIDAR data
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 c...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Curtin University
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/743 |
| _version_ | 1848743467641995264 |
|---|---|
| author | Mughal, Muhammad Omer |
| author_facet | Mughal, Muhammad Omer |
| author_sort | Mughal, Muhammad Omer |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:46:02Z |
| format | Thesis |
| id | curtin-20.500.11937-743 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:46:02Z |
| publishDate | 2016 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-7432017-02-20T06:40:03Z Wind prediction modelling and validation using coherent Doppler LIDAR data Mughal, Muhammad Omer 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. 2016 Thesis http://hdl.handle.net/20.500.11937/743 en Curtin University fulltext |
| spellingShingle | Mughal, Muhammad Omer Wind prediction modelling and validation using coherent Doppler LIDAR data |
| title | Wind prediction modelling and validation using coherent Doppler LIDAR data |
| title_full | Wind prediction modelling and validation using coherent Doppler LIDAR data |
| title_fullStr | Wind prediction modelling and validation using coherent Doppler LIDAR data |
| title_full_unstemmed | Wind prediction modelling and validation using coherent Doppler LIDAR data |
| title_short | Wind prediction modelling and validation using coherent Doppler LIDAR data |
| title_sort | wind prediction modelling and validation using coherent doppler lidar data |
| url | http://hdl.handle.net/20.500.11937/743 |