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《Journal of Beijing Normal University(Natural Science)》 2007-03
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A STUDY OF MODIS INVERTED VEGETATION IMPACTS ON MODELING RAINFALL OF MM5 IN THE NORTHERN SHAANXI

Guo Jianxia1) Dai Yongjiu1) Lei Lei2) Deng Fengdong3) (1)School of Geography and Remote Sensing Science,State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences;Beijing Key Laboratory of Enviromental Remote Sensing and City Digitalization,Beijing Normal University: 100875,Beijing,China 2)Beijing Meteorological Bureau,100089,Beijing;China;3)Shaanxi Agricultural Remote Sensing Information Center,710014,Xi'an,China)  
To investigate the contribution of MODIS inverted vegetation to regional rainfall prediction in numerical model(MM5),two case studies are presented.The MODIS inverted vegetation data used in the studies are from Shaanxi Agricultural Remote Sensing Information Center and denote the summer condition of 2004.Two regional rainfall cases in Northern Shaanxi were chosen arbitrarily in July 2004.The results indicate that the modeling rainfall of the cases can be improved if MODIS inverted vegetation is adopted in MM5 instead of USGS vegetation.
【Fund】: 长江学者和创新团队发展计划资助项目;; 科技部973预研资助项目(200301500);; 陕西省科技攻关资助项目(2002K04-G14);; 中国气象局干旱气象研究基金资助项目(IAM200409)
【CateGory Index】: P461
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