摘要
充分利用气温、降水量空间统计分析的结果,通过在模型中引入坡度(SL)、坡向(SD)变量,对祁连山中东部地区气温、降水量空间变化模式进行尺度下移,得到了该地区具有多尺度特性的高空间分辨率气温、降水量的分析模型:T=a+bH-KT cos SD sin SL,P=(a+blnH+cln Y)(1+Kp sin SL); 进而计算了该地区7月份和年平均气温的分布式模型和年降水量分布式模型,得到了相应的栅格地图.验证结果表明这两个模型可以与山地冰川和森林分布区的气候分析资料很好地匹配.根据年降水量栅格地图的统计分析,将本区域内的最大降水高度带确定在4500 m.
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 + c In Y)(1 + 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.
出处
《兰州大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第1期7-12,共6页
Journal of Lanzhou University(Natural Sciences)
基金
教育部"春晖计划(1997)"
国家自然科学基金(49810760158)资助项目.
关键词
分布式气候模型
山地气候
数字高程模型
尺度下移
distributing climatic models
mountain climate
digital elevation model
down-scaling