| Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013 | |
| Yang, JH (Yang, Junhua)1; Ji, ZM (Ji, Zhenming)2; Chen, DL (Chen, Deliang)3; Kang, SC (Kang, Shichang)1,7; Fu, CS (Fu, Congshen)4; Duan, KQ (Duan, Keqin)5; Shen, MG (Shen, Miaogen)6 | |
| Source Publication | ADVANCES IN ATMOSPHERIC SCIENCES
 |
| 2018-06-01 | |
| Volume | 35Issue:6Pages:628-644 |
| DOI | 10.1007/s00376-017-7120-4 |
| Abstract | The application of satellite radiance assimilation can improve the simulation of precipitation by numerical weather prediction models. However, substantial quantities of satellite data, especially those derived from low-level (surface-sensitive) channels, are rejected for use because of the difficulty in realistically modeling land surface emissivity and energy budgets. Here, we used an improved land use and leaf area index (LAI) dataset in the WRF-3DVAR assimilation system to explore the benefit of using improved quality of land surface information to improve rainfall simulation for the Shule River Basin in the northeastern Tibetan Plateau as a case study. The results for July 2013 show that, for low-level channels (e.g., channel 3), the underestimation of brightness temperature in the original simulation was largely removed by more realistic land surface information. In addition, more satellite data could be utilized in the assimilation because the realistic land use and LAI data allowed more satellite radiance data to pass the deviation test and get used by the assimilation, which resulted in improved initial driving fields and better simulation in terms of temperature, relative humidity, vertical convection, and cumulative precipitation. |
| WOS ID | WOS:000429920200003 |
| Language | 英语 |
| Indexed By | SCIE |
| Keyword | VARIATIONAL DATA ASSIMILATION REGIONAL CLIMATE MODEL IMPACT IMPLEMENTATION SYSTEM FORECASTS SCHEME MM5 |
| WOS Research Area | Meteorology & Atmospheric Sciences |
| WOS Subject | Meteorology & Atmospheric Sciences |
| Cooperation Status | 国际 |
| ISSN | 0256-1530 |
| Department | 环境变化与地表过程重点实验室 |
| Publisher | SCIENCE PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.itpcas.ac.cn/handle/131C11/8640 |
| Collection | 图书馆 |
| Affiliation | 1.Chinese Acad Sci, State Key Lab Cryospher Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; 2.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou 510275, Guangdong, Peoples R China; 3.Univ Gothenburg, Dept Earth Sci, S-40530 Gothenburg, Sweden; 4.Yale Univ, Yale Sch Forestry & Environm Studies, New Haven, CT 06511 USA; 5.Shaanxi Normal Univ, Coll Tourism & Environm, Xian 710000, Shaanxi, Peoples R China; 6.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100101, Peoples R China; 7.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China. |
| Recommended Citation GB/T 7714 | Yang, JH ,Ji, ZM ,Chen, DL ,et al. Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2018,35(6):628-644. |
| APA | Yang, JH .,Ji, ZM .,Chen, DL .,Kang, SC .,Fu, CS .,...&Shen, MG .(2018).Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013.ADVANCES IN ATMOSPHERIC SCIENCES,35(6),628-644. |
| MLA | Yang, JH ,et al."Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013".ADVANCES IN ATMOSPHERIC SCIENCES 35.6(2018):628-644. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2018180.pdf（2920KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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