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中文摘要：
本文以陕西气象局1971-2000年30年96个台站的1—12月多年平均气温为数据源，把气温的空间分布分解为受经纬度、海拔高度影响规律性成分影响和微地形的影响两部分，得到基于栅格的陕西省1-12月多年月均温的空间分布模拟栅格数据，可以反映气温大尺度的变化和微型变化。经检验，模拟的结果具有较高的精度，反映了陕西省各月的气温空间变化规律，为农业区划、生态系统模拟提供了空间化的气温数据。
英文摘要：
Earth surface temperature distribution is affected by many factors among which the altitude, longitude and latitude are most notable. In this paper, based on the data of perennial mean temperature in January to December during the years 1971 to 2000 obtained from 96 meteorological stations of Shaanxi Provincial Weather Bureau, the temperature distribution was divided into two components, which were respectively affected by altitude, longitude and latitude and micro terrain. The distribution was spatialized with multivariate regression model and inverse distance weighted interpolation of residuals, and combining with the micro-terrain correction, the paper generated grid-based spatial distribution simulation of perennial month mean temperature in January to December in Shaanxi province. It could reflect temperature change both at large and small scale. The simulation results were validated to be efficient in reflecting spatial distribution of temperature in Shaanxi province, and could provide spatialized temperature data for agricultural division and ecosystem simulation.
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