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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 PublicationADVANCES IN ATMOSPHERIC SCIENCES
2018-06-01
Volume35Issue:6Pages:628-644
DOI10.1007/s00376-017-7120-4
AbstractThe 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 IDWOS:000429920200003
Language英语
Indexed BySCIE
KeywordVARIATIONAL DATA ASSIMILATION REGIONAL CLIMATE MODEL IMPACT IMPLEMENTATION SYSTEM FORECASTS SCHEME MM5
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
Cooperation Status国际
ISSN0256-1530
Department环境变化与地表过程重点实验室
PublisherSCIENCE PRESS
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8640
Collection图书馆
Affiliation1.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.
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