Spatial interpolation of daily air temperature in mountain area based on PRISM
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摘要: 山地环境气象因子空间分布是生态环境过程模拟的基础,对于提高生态环境保护管理水平具有重要意义。本文基于坡面回归插值模型(PRISM)原理,综合考虑海拔、坡向等影响因子,设计开发了山地日气温插值模型。以北京西部山地自动气象站数据与DEM数据为基础,采用交叉验证法对该模型插值有效性进行检验,并与常用的反距离权重(IDW)插值、克里金(Kriging)插值、样条(Spline)函数插值的结果进行比较。研究表明,无论日平均气温,还是日最高气温、日最低气温,本文提出的插值模型的预测结果均优于其他方法。Abstract: As the basis of ecological environmental process simulation, the spatial distribution of meteorology in mountain area is important to improve the management of ecological environment protection. Considering the impact brought by elevation and slope aspect, this study adopted PRISM to design and develop a temperature interpolation model. Based on the data from automatic weather station and DEM in the mountainous area in western Beijing, we used cross-validation to test the effectiveness of the interpolation, and compared the interpolation results obtained by Inverse distance weighted (IDW), Kriging, and Spline methods which are commonly used. The result shows that the model we developed outperforms the other methods in prediction of daily average air temperature, daily maximum air temperature or daily minimum air temperature.
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Keywords:
- spatial interpolation /
- mountain area /
- PRISM /
- DEM /
- air temperature
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