A study on the distributing climatic models in arid mountainous area——distributing temperature and precipitation models in high spatial resolution in the Qilian Mountains

Through an introduction of slope SL and aspect SD as variables in the spatial regression models, this article has down-scaled the spatial variation model of the temperature and the precipitation in the mid and eastern Qilian Mountains region and then, the following analytic model of the temperature and the precipitation with multi-scaled features were obtained: T=a +bH-kT cos SD sin SL;P=(a+bln H+ cln Y)(l+kp sin SL). Then, the distributing models of temperature in July and the annual precipitation were computed and the corresponding raster maps were depicted. These models not only sufficiently use the results of spatial statistics of both the temperature and precipitation, but also couples well with a series of climatic data from the mountain glaciers and forest. According to the analysis of the distributing model of annual precipitation, the maximum belt of precipitation was determined at 4 500 m.