Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall
文献类型：期刊论文
| 作者 | Xie, Yanhui1; Xing, Jianyong1; Shi, Jiancheng1; Dou, Youjun1; Lei, Yonghui1 |
| 刊名 | Atmospheric Research
 |
| 出版日期 | 2016 |
| 卷号 | 169页码:318-330 |
| 关键词 | FRAGMENTAL SURFACE LAYER SUBPIXEL REGISTRATION CHANGE-3 RADAR CAMERA DEPTH |
| 通讯作者 | Lei, Yonghui (yonghui.lei@hotmail.com) |
| 英文摘要 | Precipitation simulation during the Beijing heavy rainfall event on 21 July 2012 has been investigated in this study. A control run of the Weather Research and Forecasting (WRF) model can roughly simulate the mesoscale features and spatial heterogeneity of precipitation over North China, but it cannot capture the locations, intensity and timing of maximum rainfall over the Beijing area compared with ground observations. To gain better initial conditions in the performance of the mesoscale model, Advanced Microwave Sounding Unit (AMSU) radiance data assimilation was carried out. The spatial distribution and intensity of precipitation have been significantly improved. In particular, data assimilation of Advanced Microwave Sounding Unit-A only has similar impacts on heavy rainfall simulation as the AMSU data assimilation run. Data assimilation of Advanced Microwave Sounding Unit-B only has improved the spatial distribution of heavy rainfall, but it has little impact on the intensity of rainfall. However, the timing of heavy rainfall in all simulations is about 5 to 6. h later than observations. Further analysis shows that the center and strength of the low-pressure system was not well simulated during the early development of heavy rainfall in the model. Results from radiance data assimilation suggest that improvement of the initial conditions plays a positive impact on heavy rainfall in 24. h simulation. Operational forecast system including satellite radiance data assimilation may improve heavy rainfall forecasting. © 2015 Elsevier B.V. |
| 学科主题 | Meteorology & Atmospheric Sciences |
| 类目[WOS] | Meteorology & Atmospheric Sciences |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20154601540639 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39177]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese Academy of Sciences, Beijing, China 3. Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, SOA, Beijing, China 4. Joint Center for Global Change Studies (JCGCS), Beijing, China |
| 推荐引用方式 GB/T 7714 | Xie, Yanhui,Xing, Jianyong,Shi, Jiancheng,et al. Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall[J]. Atmospheric Research,2016,169:318-330. |
| APA | Xie, Yanhui,Xing, Jianyong,Shi, Jiancheng,Dou, Youjun,&Lei, Yonghui.(2016).Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall.Atmospheric Research,169,318-330. |
| MLA | Xie, Yanhui,et al."Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall".Atmospheric Research 169(2016):318-330. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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