| VALIDATION OF NEAR-SURFACE WINDS OBTAINED BY A HYBRID WRF/CALMET MODELING SYSTEM OVER A COASTAL ISLAND WITH COMPLEX TERRAIN |
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| 作者姓名： | 路屹雄 汤剑平 王元 宋丽莉 |
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| 作者单位： | School of Atmospheric Sciences, Nanjing University, Nanjing 210093 China;School of Atmospheric Sciences, Nanjing University, Nanjing 210093 China;School of Atmospheric Sciences, Nanjing University, Nanjing 210093 China;Climate Center of Guangdong Province, Guangzhou 510080 China |
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| 基金项目： | National Public Benefit Research Foundation of China (2008416048; GYHY201006035) |
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| 摘 要： | The results from a hybrid approach that combines a mesoscale meteorological model with a diagnostic model to produce high-resolution wind fields in complex coastal topography are evaluated.The diagnostic wind model(California Meteorological Model,CALMET) with 100-m horizontal spacing was driven with outputs from the Weather Research and Forecasting(WRF) model to obtain near-surface winds for the 1-year period from 12 September 2003 to 11 September 2004.Results were compared with wind observations at four sites.Traditional statistical scores,including correlation coefficients,standard deviations(SDs) and mean absolute errors(MAEs),indicate that the wind estimates from the WRF/CALMET modeling system are produced reasonably well.The correlation coefficients are relatively large,ranging from 0.5 to 0.7 for the zonal wind component and from 0.75 to 0.85 for the meridional wind component.MAEs for wind speed range from 1.5 to 2.0 m s-1 at 10 meters above ground level(AGL) and from 2.0 to 2.5 m s-1 at 60 m AGL.MAEs for wind direction range from 30 to 40 degrees at both levels.A spectral decomposition of the time series of wind speed shows positive impacts of CALMET in improving the mesoscale winds.Moreover,combining the CALMET model with WRF significantly improves the spatial variability of the simulated wind fields.It can be concluded that the WRF/CALMET modeling system is capable of providing a detailed near-surface wind field,but the physics in the diagnostic CALMET model needs to be further improved.
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| 关 键 词： | near-surface winds WRF/CALMET modeling system complex terrain |
| 收稿时间： | 3/9/2011 12:00:00 AM |
| 修稿时间： | 2012/7/15 0:00:00 |
VALIDATION OF NEAR-SURFACE WINDS OBTAINED BY A HYBRID WRF/CALMET MODELING SYSTEM OVER A COASTAL ISLAND WITH COMPLEX TERRAIN |
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| LU Yi-xiong,TANG Jian-ping,WANG Yuan and SONG Li-li.VALIDATION OF NEAR-SURFACE WINDS OBTAINED BY A HYBRID WRF/CALMET MODELING SYSTEM OVER A COASTAL ISLAND WITH COMPLEX TERRAIN[J].Journal of Tropical Meteorology,2012,18(3):284-296. |
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| Authors: | LU Yi-xiong TANG Jian-ping WANG Yuan and SONG Li-li |
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| Institution: | School of Atmospheric Sciences, Nanjing University, Nanjing 210093 China;School of Atmospheric Sciences, Nanjing University, Nanjing 210093 China;School of Atmospheric Sciences, Nanjing University, Nanjing 210093 China;Climate Center of Guangdong Province, Guangzhou 510080 China |
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| Abstract: | The results from a hybrid approach that combines a mesoscale meteorological model with a diagnostic model to produce high-resolution wind fields in complex coastal topography are evaluated. The diagnostic wind model (California Meteorological Model, CALMET) with 100-m horizontal spacing was driven with outputs from the Weather Research and Forecasting (WRF) model to obtain near-surface winds for the 1-year period from 12 September 2003 to 11 September 2004. Results were compared with wind observations at four sites. Traditional statistical scores, including correlation coefficients, standard deviations (SDs) and mean absolute errors (MAEs), indicate that the wind estimates from the WRF/CALMET modeling system are produced reasonably well. The correlation coefficients are relatively large, ranging from 0.5 to 0.7 for the zonal wind component and from 0.75 to 0.85 for the meridional wind component. MAEs for wind speed range from 1.5 to 2.0 m s-1 at 10 meters above ground level (AGL) and from 2.0 to 2.5 m s-1 at 60 m AGL. MAEs for wind direction range from 30 to 40 degrees at both levels. A spectral decomposition of the time series of wind speed shows positive impacts of CALMET in improving the mesoscale winds. Moreover, combining the CALMET model with WRF significantly improves the spatial variability of the simulated wind fields. It can be concluded that the WRF/CALMET modeling system is capable of providing a detailed near-surface wind field, but the physics in the diagnostic CALMET model needs to be further improved. |
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| Keywords: | near-surface winds WRF/CALMET modeling system complex terrain |
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