Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD025593 |
Parameterizing surface wind speed over complex topography | |
Helbig, N.; Mott, R.; van Herwijnen, A.; Winstral, A.; Jonas, T. | |
2017-01-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Switzerland |
英文摘要 | Subgrid parameterizations are used in coarse-scale meteorological and land surface models to account for the impact of unresolved topography on wind speed. While various parameterizations have been suggested, these were generally validated on a limited number of measurements in specific geographical areas. We used high-resolution wind fields to investigate which terrain parameters most affect near-surface wind speed over complex topography under neutral conditions. Wind fields were simulated using the Advanced Regional Prediction System (ARPS) on Gaussian random fields as model topographies to cover a wide range of terrain characteristics. We computed coarse-scale wind speed, i.e., a spatial average over the large grid cell accounting for influence of unresolved topography, using a previously suggested subgrid parameterization for the sky view factor. We only require correlation length of subgrid topographic features and mean square slope in the coarse grid cell. Computed coarse-scale wind speed compared well with domain-averaged ARPS wind speed. To further statistically downscale coarse-scale wind speed, we use local, fine-scale topographic parameters, namely, the Laplacian of terrain elevations and mean square slope. Both parameters showed large correlations with fine-scale ARPS wind speed. Comparing downscaled numerical weather prediction wind speed with measurements from a large number of stations throughout Switzerland resulted in overall improved correlations and distribution statistics. Since we used a large number of model topographies to derive the subgrid parameterization and the downscaling framework, both are not scale dependent nor bound to a specific geographic region. Both can readily be implemented since they are based on easy to derive terrain parameters. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000396116900005 |
WOS关键词 | LARGE-EDDY SIMULATIONS ; BOUNDARY-LAYER ; FLUXES ; MODEL ; FLOW ; PARAMETRIZATION ; PREDICTION ; OROGRAPHY ; SYSTEM ; DRAG |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33331 |
专题 | 气候变化 |
作者单位 | WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland |
推荐引用方式 GB/T 7714 | Helbig, N.,Mott, R.,van Herwijnen, A.,et al. Parameterizing surface wind speed over complex topography[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(2). |
APA | Helbig, N.,Mott, R.,van Herwijnen, A.,Winstral, A.,&Jonas, T..(2017).Parameterizing surface wind speed over complex topography.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(2). |
MLA | Helbig, N.,et al."Parameterizing surface wind speed over complex topography".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.2(2017). |
条目包含的文件 | 条目无相关文件。 |
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