Research Article

Spatial Downscaling of TRMM Precipitation Data Using an Optimal Subset Regression Model with NDVI and Terrain Factors in the Yarlung Zangbo River Basin, China

Table 1

Geographic information and multiannual mean precipitation for the 17 meteorological stations within the Yarlung Zangbo River Basin. The multiannual mean precipitation values were calculated from daily meteorological data from 2001 to 2014.

IDStationLongitude
(°)
Latitude
(°)
Altitude
(m)
Precipitation
(mm year−1)

55493Damxung91.130.484200497.7
55569Lazi87.629.084000336.1
55572Namling89.129.684000479.9
55578Shigatse88.8829.253836428.7
55585Nimu90.1729.433809.4353.1
55589Konka90.9829.33555.3415.2
55591Lhasa91.1329.673648.9477.2
55593Maizhokunggar91.7329.853804.3579.8
55597Qonggyai91.6829.033741415.5
55598Zedang91.7729.253551.7465.9
55680Jiangzi89.628.924040336.4
55681Nagarze90.428.974432.4388.1
56202Jiali93.2830.674488.8595.5
56227Bomi95.7729.872736583.7
56307Gyaca92.5829.158260571.9
56312Linzhi94.3329.672991.8689.3
56317Milin94.2229.222950590.6