HE Peng, JIAN Dong-nan, LI Xiao, LIN Zheng-yu. Study on Interpolation Model of Monthly Temperature in Sichuan Province Under the Influence of Complex Topography[J]. Journal of Ecology and Rural Environment, 2019, 35(6): 801-808. DOI: 10.19741/j.issn.1673-4831.2018.0271
    Citation: HE Peng, JIAN Dong-nan, LI Xiao, LIN Zheng-yu. Study on Interpolation Model of Monthly Temperature in Sichuan Province Under the Influence of Complex Topography[J]. Journal of Ecology and Rural Environment, 2019, 35(6): 801-808. DOI: 10.19741/j.issn.1673-4831.2018.0271

    Study on Interpolation Model of Monthly Temperature in Sichuan Province Under the Influence of Complex Topography

    • Sichuan Province has a great variety in topography, which has significant influences on regional climate distribution. Based on the data of monthly air temperature of 144 meteorological stations in Sichuan Province, seven interpolation methods including spline (SP), inverse distance weighting (IDW), ordinary kriging (OK), spline function method considering elevation effect (SPE), inverse distance weighing considering elevation effect (IDWE), ordinary kriging considering elevation effect (OKE) and multivariable linear regression method (MRM) were applied in current study to spatialize the monthly temperature. Meanwhile, the cross validation method was used to evaluate the accuracy of seven interpolation methods. The results show that the monthly temperature in Sichuan Province was significantly correlated with altitude, and correlation coefficient changed seasonally, with greater change in summer than in winter. The average temperature of each month decreased with the increase of altitude, and lapse rate of summer was greater than that of winter. The lapse rate for different months varied from 0. 308 to 0. 443℃·hm-1. The interpolation methods considering elevation effect achieved better accuracy than that without considering elevation effect. Among four interpolation methods considering elevation effect, MRM had the best accuracy, followed by IDWE and OKE, and SPE had the worst accuracy.
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