气候变化领域集成服务门户(CCPortal): 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

CCPortal

DOI	10.1007/s00376-017-7120-4
	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, Junhua; Ji, Zhenming; Chen, Deliang; Kang, Shichang; Fu, Congshen; Duan, Keqin; Shen, Miaogen
通讯作者	Ji, ZM (通讯作者)
发表日期	2018
ISSN	0256-1530
EISSN	1861-9533
起始页码	628
结束页码	644
卷号	35 期号:6
英文摘要	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.
关键词	IMPACT MODEL IMPLEMENTATION CLIMATE SYSTEM SCHEME MM5
英文关键词	WRF-3DVAR; land use; leaf area index; radiance assimilation; rainfall simulation
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000429920200003
来源期刊	ADVANCES IN ATMOSPHERIC SCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259315
推荐引用方式 GB/T 7714	Yang, Junhua,Ji, Zhenming,Chen, Deliang,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]. 中国科学院青藏高原研究所,2018,35(6).
APA	Yang, Junhua.,Ji, Zhenming.,Chen, Deliang.,Kang, Shichang.,Fu, Congshen.,...&Shen, Miaogen.(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).
MLA	Yang, Junhua,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).