A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 研究生部

	A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China
	Jia, SF ; Zhu, Wenbin(朱文彬) ; Lu, AF ; Yan, TT
刊名	REMOTE SENSING OF ENVIRONMENT
	2011
卷号	115 期号:12 页码:3069-3079
关键词	Downscaling Precipitation TRMM NDVI DEM Qaidam Basin
通讯作者	Lu, AF
英文摘要	The availability of precipitation data with high spatial resolution is of fundamental importance in several applications such as hydrology, meteorology and ecology. At present, there are mainly two sources of precipitation estimates: raingauge stations and remote sensing technology. However, a large number of studies demonstrated that traditional point measurements based on raingauge stations cannot reflect the spatial variation of precipitation effectively, especially in ungauged basins. The technology of remote sensing has greatly improved the quality of precipitation observations and produced reasonably high resolution gridded precipitation fields. These products, derived from satellites, have been widely used in various parts of the world. However, when applied to local basins and regions, the spatial resolution of these products is too coarse. In this paper, we present a statistical downscaling algorithm based on the relationships between precipitation and other environmental factors in the Qaidam Basin such as topography and vegetation, which was developed for downscaling the spatial precipitation fields of these remote sensing products. This algorithm is demonstrated with the Tropical Rainfall Measuring Mission (TRMM) 3B43 dataset, the Digital Elevation Model (DEM) from the Shuttle Radar Topography Mission (SRTM) and SPOT VEGETATION. The statistical relationship among precipitation, DEM and Normalized Difference Vegetation Index (NDVI), which is a proxy for vegetation, is variable at different scales: therefore, a multiple linear regression model was established under four different scales (0.25 degrees, 0.50 degrees, 0.75 degrees and 1.00 degrees, respectively). By applying a downscaling methodology, TRMM 3B43 0.25 degrees x 0.25 degrees precipitation fields were downscaled to 1 x 1 km pixel precipitation for each year from 1999 to 2009. On the basis of three criteria, these four downscaled results were compared with each other and the regression model established at the resolution of 0.50 degrees was selected as the final downscaling algorithm in this study. The final downscaled results were validated by applying the observations for a duration of 11 years obtained from six raingauge stations in the Qaidam Basin. These results indicated that the downscaled result effectively captured the trends in inter-annual variability and the magnitude of annual precipitation with the coefficient of determination r(2) ranging from 0.72 to 0.96 at six different raingauge stations.
收录类别	SCI
资助信息	National Natural Science Foundation of China 40971298 90302009;Ministry of Water Resources of China 201101047
语种	英语
公开日期	2012-02-23
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/8485]
专题	地理科学与资源研究所_研究生部
推荐引用方式 GB/T 7714	Jia, SF,Zhu, Wenbin,Lu, AF,et al. A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China[J]. REMOTE SENSING OF ENVIRONMENT,2011,115(12):3069-3079.
APA	Jia, SF,Zhu, Wenbin,Lu, AF,&Yan, TT.(2011).A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China.REMOTE SENSING OF ENVIRONMENT,115(12),3069-3079.
MLA	Jia, SF,et al."A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China".REMOTE SENSING OF ENVIRONMENT 115.12(2011):3069-3079.