Comparative experiments on the effect of radar data assimilation and increasing horizontal resolution on short-term numerical weather prediction
文献类型:期刊论文
作者 | Sheng Chunyan1,2,3; Xue Deqiang2; Lei Ting1; Gao Shouting1 |
刊名 | Acta meteorologica sinica
![]() |
出版日期 | 2007 |
卷号 | 21期号:1页码:47-63 |
关键词 | Radar data assimilation Increasing horizontal resolution Comparative experiments Short-term prediction |
ISSN号 | 0894-0525 |
通讯作者 | Sheng chunyan(scy9186@yahoo.com.cn) |
英文摘要 | To examine the effect of radar data assimilation and increasing horizontal resolution on the short-term numerical weather prediction, comparative numerical experiments axe conducted for a huabei (north china) torrential rainfall event by using the advanced regional prediction system (arps) and arps data analysis system (adas). the experiments use five different horizontal grid spacings, i.e., 18, 15, 9, 6, and 3 km,respectively, under the two different types of analyses: one with radar data, the other without. results show that, when radar data axe not used in the analysis (i.e., only using the conventional observation data), increasing horizontal resolution can improve the short-term prediction of 6 h with better representation of the frontal structure and higher scores of the rainfall prediction, particularly for heavy rain situations. when radar data axe assimilated, it significantly improves the rainfall prediction for the first 6 h, especially the locality and intensity of precipitation. moreover, using radar data in the analysis is more effective in improving the short-term prediction than increasing horizontal resolution of the model alone, which is demonstrated by the fact that by using radar data in the analysis and a coarser resolution of the 18-km grid spacing, the predicted results are as good as that by using a higher resolution of the 3-km grid spacing without radar data. further study of the results under the radar data assimilation with grid spacing of 18-3 km reveals that the rainfall prediction is more sensitive to the grid spacing in heavy rain situations (more than 40 mm) than in ordinary rain situations (less than 40 mm). when the horizontal grid spacing reduces from 6 to 3 km, there is no obvious improvement to the prediction results. this suggests that there is a limit to how far increasing horizontal resolution can do for the improvement of the prediction. therefore, an effective approach to improve the short-term numerical prediction is to combine the radar data assimilation with an optimal horizontal resolution. |
WOS关键词 | BULK PARAMETERIZATION ; PRECIPITATION ; EVENT ; NORTHWEST ; MESOSCALE ; MODELS |
WOS研究方向 | Meteorology & Atmospheric Sciences |
WOS类目 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000254935000005 |
出版者 | SPRINGER HEIDELBERG |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2383291 |
专题 | 中国科学院大学 |
通讯作者 | Sheng Chunyan |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, Lab Cloud Precipitat Phys & Severe Storms, Beijing 100029, Peoples R China 2.Shandong Meteorol Observ, Jinan 250031, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Sheng Chunyan,Xue Deqiang,Lei Ting,et al. Comparative experiments on the effect of radar data assimilation and increasing horizontal resolution on short-term numerical weather prediction[J]. Acta meteorologica sinica,2007,21(1):47-63. |
APA | Sheng Chunyan,Xue Deqiang,Lei Ting,&Gao Shouting.(2007).Comparative experiments on the effect of radar data assimilation and increasing horizontal resolution on short-term numerical weather prediction.Acta meteorologica sinica,21(1),47-63. |
MLA | Sheng Chunyan,et al."Comparative experiments on the effect of radar data assimilation and increasing horizontal resolution on short-term numerical weather prediction".Acta meteorologica sinica 21.1(2007):47-63. |
入库方式: iSwitch采集
来源:中国科学院大学
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。