作者:Xu, SG (Xu, Shi-Guang)[ 1 ] ; Niu, Z (Niu, Zheng)[ 1 ] ; Kuang, D (Kuang, Da)[ 2 ] ; Shen, Y (Shen, Yan)[ 3 ] ; Huang, WJ (Huang, Wen-Jiang)[ 4 ] ; Wang, Y (Wang, Yu)[ 5 ]
MOUNTAIN RESEARCH AND DEVELOPMENT
卷: 33  期: 4  页: 424-436
DOI: 10.1659/MRD-JOURNAL-D-13-00033.1
出版年: NOV 2013

摘要
Although precipitation is important to climatology, hydrology, and agricultural research, the spatial pattern of precipitation over the Tibetan Plateau is difficult to determine because of complex surface conditions and a sparse rain gauge network. In the present article, a method we named FETCH_OCK-based on a combination of Yin et al's Fetch method (2008) and ordinary cokriging (OCK)-is proposed; it was used to estimate monthly summer precipitation over the Tibetan Plateau, which has limited rain gauge observations and a restricted satellite precipitation dataset. First, the monthly ground observations measured by rain gauges were interpolated using OCK, with a digital elevation model (DEM) as the covariant. Second, the spatial variability of the precipitation monitored by satellite was extracted from the Climate Prediction Center morphing (CMORPH) satellite precipitation dataset by calculating a parameter (FETCH) developed from Yin et al's Fetch parameter. Finally, the precipitation datasets estimated by OCK were corrected by the FETCH parameter derived from the CMORPH satellite precipitation dataset. Summer (June to August) precipitation over the Tibetan Plateau from 2005 to 2009 was estimated using this model. The precipitation datasets estimated by FETCH_OCK were tested using ground observations from 55 independent rain gauges. The results indicate that the FETCH_OCK model not only is an improvement compared with the input precipitation datasets (OCK and CMORPH) but also performs better than other widely used precipitation datasets, including universal kriging with DEM as a covariant and Tropical Rainfall Measuring Mission 3B43. The present study aims to correct the smoothing effect of kriging interpolation models and to provide a more accurate precipitation dataset for the Tibetan Plateau.

通讯作者地址: Niu, Z (通讯作者)
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
[ 2 ] Inst Tibetan Plateau Atmospher & Environm Sci, Lhasa 85000, Peoples R China
[ 3 ] CMA, NMIC, Beijing 100081, Peoples R China
[ 4 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Lab Digital Earth Sci, Beijing 100094, Peoples R China
[ 5 ] China Univ Geosci, Beijing Sch Land Sci Technol, Beijing, Peoples R China