Effects of spatial station density on accuracy of spatial interpolation of monthly rainfall over complex terrain base on PRISM

JIANG Yuhao, LIU Pengju, XIA Zhiwu, XU Dengping, ZHANG Yingkai

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2017, Vol. 41 ›› Issue (04) : 115-120.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2017, Vol. 41 ›› Issue (04) : 115-120. DOI: 10.3969/j.issn.1000-2006.201603045

Effects of spatial station density on accuracy of spatial interpolation of monthly rainfall over complex terrain base on PRISM

  • JIANG Yuhao1, LIU Pengju1*, XIA Zhiwu1, XU Dengping2, ZHANG Yingkai1
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Abstract

【Objective】Investigate the influence of station density on the accuracy of PRISM interpolation, in order to elucidatethe model's scope of application.【Method】Based on the DEM of the northwest mountains of Beijing and rainfall data from the mountain automatic weather stations to calculate the result of interpolation. These results were then compared with the IDW, Kriging and Spline interpolation models using cross validation and test data validation.【Result】The precision of interpolation was reduced when site density was reduced from 0.55×10-2 to 0.18×10-2 sites/km2 but was reduced most when using the PRISM model and least when using the Spline model. Furthermore, when the site density was reduced to 0.18×10-2 sites/km2, the error of the PRISM model was less than that of the Spline model, but still greater than the Kriging and IDW models. 【Conclusion】The present study suggests that the IDW and Kriging models should be used when stations are sparse.

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JIANG Yuhao, LIU Pengju, XIA Zhiwu, XU Dengping, ZHANG Yingkai. Effects of spatial station density on accuracy of spatial interpolation of monthly rainfall over complex terrain base on PRISM[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2017, 41(04): 115-120 https://doi.org/10.3969/j.issn.1000-2006.201603045

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