Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain
© 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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Pergamon
2017
|
| Online Access: | http://hdl.handle.net/20.500.11937/51220 |
| _version_ | 1848758643726483456 |
|---|---|
| author | Mughal, M. Lynch, M. Yu, F. McGann, Brendan Jeanneret, F. Sutton, J. |
| author_facet | Mughal, M. Lynch, M. Yu, F. McGann, Brendan Jeanneret, F. Sutton, J. |
| author_sort | Mughal, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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). |
| first_indexed | 2025-11-14T09:47:15Z |
| format | Journal Article |
| id | curtin-20.500.11937-51220 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:47:15Z |
| publishDate | 2017 |
| publisher | Pergamon |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-512202017-09-13T15:34:51Z Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain Mughal, M. Lynch, M. Yu, F. McGann, Brendan Jeanneret, F. Sutton, J. © 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). 2017 Journal Article http://hdl.handle.net/20.500.11937/51220 10.1016/j.envsoft.2017.01.009 Pergamon restricted |
| spellingShingle | Mughal, M. Lynch, M. Yu, F. McGann, Brendan Jeanneret, F. Sutton, J. Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain |
| title | Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain |
| title_full | Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain |
| title_fullStr | Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain |
| title_full_unstemmed | Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain |
| title_short | Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain |
| title_sort | wind modelling, validation and sensitivity study using weather research and forecasting model in complex terrain |
| url | http://hdl.handle.net/20.500.11937/51220 |