气候变化领域集成服务门户(CCPortal): Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: From the hydrological perspective

CCPortal

DOI	10.5194/hess-22-4329-2018
	Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: From the hydrological perspective
	Liu J.; Tian J.; Yan D.; Li C.; Yu F.; Shen F.
发表日期	2018
ISSN	1027-5606
起始页码	4329
结束页码	4348
卷号	22 期号:8
英文摘要	Data assimilation is an effective tool in improving high-resolution rainfall of the numerical weather prediction (NWP) systems which always fails in providing satisfactory rainfall products for hydrological use. The aim of this study is to explore the potential effects of assimilating different sources of observations, i.e., the Doppler weather radar and the Global Telecommunication System (GTS) data, in improving the mesoscale NWP rainfall products. A 24 h summer storm occurring over the Beijing-Tianjin-Hebei region of northern China on 21 July 2012 is selected as a case study. The Weather Research and Forecasting (WRF) Model is used to obtain 3 km rainfall forecasts, and the observations are assimilated using the three-dimensional variational (3DVar) data assimilation method. Eleven data assimilation modes are designed for assimilating different combinations of observations in the two nested domains of the WRF model. Both the rainfall accumulative amount and its distribution in space and time are examined for the forecasting results with and without data assimilation. The results show that data assimilation can effectively help improve the WRF rainfall forecasts, which is of great importance for hydrologic applications through the rainfall-runoff transformation process. Both the radar reflectivity and the GTS data are good choices for assimilation in improving the rainfall products, whereas special attention should be paid to assimilating radial velocity where unsatisfactory results are always found. The assimilation of the GTS data in the coarser domain has positive effects on the radar data assimilation in the finer domain, which can make the rainfall forecasts more accurate than assimilating the radar data alone. It is also found that the assimilation of more observations cannot guarantee further improvement of the rainfall products, whereas the effective information contained in the assimilated data is of more importance than the data quantity. Potential improvements of data assimilation in improving the NWP rainfall products are discussed and suggestions are further made. © Author(s) 2018.
语种	英语
scopus关键词	Doppler radar; Metadata; Meteorological radar; Rain; Soil moisture; Storms; Beijing-tianjin-hebei regions; Data assimilation methods; Global telecommunication systems; Hydrologic applications; Numerical weather prediction; Radar data assimilation; Rainfall-runoff transformation; Weather research and forecasting models; Weather forecasting; climate prediction; data assimilation; Doppler radar; extreme event; hydrological response; numerical method; radial flow; rainfall; rainfall-runoff modeling; summer; telecommunication; three-dimensional modeling; weather forecasting; Beijing [China]; China; Hebei; Tianjin
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159941
作者单位	Liu, J., State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Tian, J., State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Yan, D., State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Li, C., State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Yu, F., State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Shen, F., Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, ...
推荐引用方式 GB/T 7714	Liu J.,Tian J.,Yan D.,et al. Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: From the hydrological perspective[J],2018,22(8).
APA	Liu J.,Tian J.,Yan D.,Li C.,Yu F.,&Shen F..(2018).Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: From the hydrological perspective.Hydrology and Earth System Sciences,22(8).
MLA	Liu J.,et al."Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: From the hydrological perspective".Hydrology and Earth System Sciences 22.8(2018).