Effects of 4D-Var Data Assimilation Using Remote Sensing Precipitation Products in a WRF Model over the Complex Terrain of an Arid Region River Basin
文献类型：期刊论文
| 作者 | Pan, Xiaoduo1,2; Li, Xin1,3; Cheng, Guodong1,4; Hong, Yang5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-09-01 |
| 卷号 | 9期号:9页码:23 |
| 关键词 | TRMM FY-2D GPM data assimilation inland river basin |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9090963 |
| 通讯作者 | Li, Xin(lixin@lzb.ac.cn) |
| 英文摘要 | Individually, ground-based, in situ observations, remote sensing, and regional climate modeling cannot provide the high-quality precipitation data required for hydrological prediction, especially over complex terrains. Data assimilation techniques can be used to bridge the gap between observations and models by assimilating ground observations and remote sensing products into models to improve precipitation simulation and forecasting. However, only a small portion of satellite-retrieved precipitation products assimilation research has been implemented over complex terrains in an arid region. Here, we used the weather research and forecasting (WRF) model to assimilate two satellite precipitation products (The Tropical Rainfall Measuring Mission: TRMM 3B42 and Fengyun-2D: FY-2D) using the 4D-Var data assimilation method for a typical inland river basin in northwest China's arid region, the Heihe River Basin, where terrains are very complex. The results show that the assimilation of remote sensing precipitation products can improve the initial WRF fields of humidity and temperature, thereby improving precipitation forecasting and decreasing the spin-up time. Hence, assimilating TRMM and FY-2D remote sensing precipitation products using WRF 4D-Var can be viewed as a positive step toward improving the accuracy and lead time of numerical weather prediction models, particularly over regions with complex terrains. |
| 收录类别 | SCI |
| WOS关键词 | VARIATIONAL DATA ASSIMILATION ; SSM/I RAIN RATES ; PHYSICAL INITIALIZATION ; WEATHER RESEARCH ; ANALYSIS TMPA ; WARM-SEASON ; SYSTEM ; FORECASTS ; PARAMETERIZATION ; IMPACT |
| WOS研究方向 | Remote Sensing |
| WOS类目 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000414138700093 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557641 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Li, Xin |
| 作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China 3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 4.Shanghai Normal Univ, Inst Urban Dev, Shanghai 200234, Peoples R China 5.Tsinghua Univ, Dept Hydraul Engn, Beijing 10084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Xiaoduo,Li, Xin,Cheng, Guodong,et al. Effects of 4D-Var Data Assimilation Using Remote Sensing Precipitation Products in a WRF Model over the Complex Terrain of an Arid Region River Basin[J]. REMOTE SENSING,2017,9(9):23. |
| APA | Pan, Xiaoduo,Li, Xin,Cheng, Guodong,&Hong, Yang.(2017).Effects of 4D-Var Data Assimilation Using Remote Sensing Precipitation Products in a WRF Model over the Complex Terrain of an Arid Region River Basin.REMOTE SENSING,9(9),23. |
| MLA | Pan, Xiaoduo,et al."Effects of 4D-Var Data Assimilation Using Remote Sensing Precipitation Products in a WRF Model over the Complex Terrain of an Arid Region River Basin".REMOTE SENSING 9.9(2017):23. |
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来源：寒区旱区环境与工程研究所
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