中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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.

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来源:中国科学院大学

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