Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models
A novel technique for micro-siting and forecasting appropriate to wind farms has been developed. The modelling approach was tested with a selection of different physical options and initialization fields at a complex geographical location characterised by a contrasting diurnal meteorological cycles....
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/71817 |
| _version_ | 1848762580613464064 |
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| author | Mughal, M. Lynch, Mervyn Yu, Frank Sutton, J. |
| author_facet | Mughal, M. Lynch, Mervyn Yu, Frank Sutton, J. |
| author_sort | Mughal, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A novel technique for micro-siting and forecasting appropriate to wind farms has been developed. The modelling approach was tested with a selection of different physical options and initialization fields at a complex geographical location characterised by a contrasting diurnal meteorological cycles. An improvement of 10% in wind speed forecasting was achieved by coupling a mesoscale model to a microscale model; the latter was based on Large Eddy Simulation (LES). The platforms for meso and microscale modelling were the Weather Research and Forecasting (WRF) and OpenFOAM models respectively. |
| first_indexed | 2025-11-14T10:49:50Z |
| format | Journal Article |
| id | curtin-20.500.11937-71817 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:49:50Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-718172019-03-22T01:37:42Z Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models Mughal, M. Lynch, Mervyn Yu, Frank Sutton, J. A novel technique for micro-siting and forecasting appropriate to wind farms has been developed. The modelling approach was tested with a selection of different physical options and initialization fields at a complex geographical location characterised by a contrasting diurnal meteorological cycles. An improvement of 10% in wind speed forecasting was achieved by coupling a mesoscale model to a microscale model; the latter was based on Large Eddy Simulation (LES). The platforms for meso and microscale modelling were the Weather Research and Forecasting (WRF) and OpenFOAM models respectively. 2018 Journal Article http://hdl.handle.net/20.500.11937/71817 10.1016/j.jweia.2018.03.006 Elsevier restricted |
| spellingShingle | Mughal, M. Lynch, Mervyn Yu, Frank Sutton, J. Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models |
| title | Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models |
| title_full | Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models |
| title_fullStr | Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models |
| title_full_unstemmed | Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models |
| title_short | Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models |
| title_sort | forecasting and verification of winds in an east african complex terrain using coupled mesoscale - and micro-scale models |
| url | http://hdl.handle.net/20.500.11937/71817 |