Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.08.004 |
An assimilation test of Doppler radar reflectivity and radial velocity from different height layers in improving the WRF rainfall forecasts | |
Tian, Jiyang1; Liu, Jia1; Yan, Denghua1; Li, Chuanzhe1; Chu, Zhigang2; Yu, Fuliang1 | |
2017-12-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2017 |
卷号 | 198 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Hydrological forecasts require high-resolution and accurate rainfall information, which is one of the most difficult variables to be captured by the mesoscale Numerical Weather Prediction (NWP) systems. Radar data assimilation is an effective method for improving rainfall forecasts by correcting the initial and lateral boundary conditions of the:NWP system. The aim of this study is to explore an efficient way of utilizing the Doppler radar observations for data assimilation, which is implemented by exploring the effect of assimilating radar data from different height layers on the improvement of the NW? rainfall accuracy. The Weather Research and Forecasting (WRF) model is used for numerical rainfall forecast in the Zijingguan catchment located in the "Jing-Jin-Ji" (Beijing-Tianjin-Hebei) Region of Northern China, and the three-dimensional variational data assimilation (3DVar) technique is adopted to assimilate the radar data. Radar reflectivity and radial velocity are assimilated separately and jointly. Each type of radar data is divided into seven data sets according to the height layers: (1) < 500 m, (2) < 1000 m, (3) < 2000 m, (4) 500-1000 m, (5) 1000-2000 m, (6) > 2000 m, and (7) all layers. The results show that radar reflectivity assimilation leads to better results than radial velocity assimilation. The accuracy of the forecasted rainfall deteriorates with the rise of the height of the assimilated radar reflectivity. The same results can be found when assimilating radar reflectivity and radial velocity at the same time. The conclusions of this study provide a reference for efficient assimilation of the radar data in improving the NWP rainfall products. |
英文关键词 | WRF model Data assimilation Radar reflectivity and radial velocity Different height layers Rainfall forecast |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000413281000012 |
WOS关键词 | ENSEMBLE KALMAN FILTER ; SUMMER RAINFALL ; HEAVY RAINFALL ; MICROPHYSICAL RETRIEVAL ; PRECIPITATION FORECASTS ; WEATHER RESEARCH ; UNITED-STATES ; CLOUD MODEL ; SQUALL LINE ; PART II |
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/38563 |
专题 | 地球科学 |
作者单位 | 1.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, 1 Fuxing Rd, Beijing 100038, Peoples R China; 2.Nanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Tian, Jiyang,Liu, Jia,Yan, Denghua,et al. An assimilation test of Doppler radar reflectivity and radial velocity from different height layers in improving the WRF rainfall forecasts[J]. ATMOSPHERIC RESEARCH,2017,198. |
APA | Tian, Jiyang,Liu, Jia,Yan, Denghua,Li, Chuanzhe,Chu, Zhigang,&Yu, Fuliang.(2017).An assimilation test of Doppler radar reflectivity and radial velocity from different height layers in improving the WRF rainfall forecasts.ATMOSPHERIC RESEARCH,198. |
MLA | Tian, Jiyang,et al."An assimilation test of Doppler radar reflectivity and radial velocity from different height layers in improving the WRF rainfall forecasts".ATMOSPHERIC RESEARCH 198(2017). |
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