Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain
dc.contributor.author | Mughal, M. | |
dc.contributor.author | Lynch, M. | |
dc.contributor.author | Yu, F. | |
dc.contributor.author | McGann, Brendan | |
dc.contributor.author | Jeanneret, F. | |
dc.contributor.author | Sutton, J. | |
dc.date.accessioned | 2017-03-17T08:30:02Z | |
dc.date.available | 2017-03-17T08:30:02Z | |
dc.date.created | 2017-02-19T19:31:48Z | |
dc.date.issued | 2017 | |
dc.identifier.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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/51220 | |
dc.identifier.doi | 10.1016/j.envsoft.2017.01.009 | |
dc.description.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). | |
dc.publisher | Pergamon | |
dc.title | Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain | |
dc.type | Journal Article | |
dcterms.source.volume | 90 | |
dcterms.source.startPage | 107 | |
dcterms.source.endPage | 125 | |
dcterms.source.issn | 1364-8152 | |
dcterms.source.title | Environmental Modelling & Software | |
curtin.department | Department of Physics and Astronomy | |
curtin.accessStatus | Fulltext not available |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |