Comparison analysis of sampling methods to estimate regional precipitation based on the Kriging interpolation methods： A case of northwestern China

JinKui Wu; ShiWei Liu; LePing Ma; Jia Qin; JiaXin Zhou; Hong Wei

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Comparison analysis of sampling methods to estimate regional precipitation based on the Kriging interpolation methods： A case of northwestern China

机译：基于克里格插值法的区域降水量估算抽样方法的比较分析：以西北地区为例

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摘要

The accuracy of spatial interpolation of precipitation data is determined by the actual spatial variability of the precipitation, the interpolation method, and the distribution of observatories whose selections are particularly important. In this paper, three spatial sampling programs, including spatial random sampling, spatial stratified sampling, and spatial sandwich sampling, are used to analyze the data from meteorological stations of northwestern China. We compared the accuracy of ordinary Kriging interpolation methods on the basis of the sampling results. The error values of the regional annual precipitation interpolation based on spatial sandwich sampling, including ME(0.1513), RMSE(95.91), ASE(101.84), MSE(-0.0036), and RMSSE(1.0397), were optimal under the premise of abundant prior knowledge. The result of spatial stratified sampling was poor, and spatial random sampling was even worse. Spatial sandwich sampling was the best sampling method, which minimized the error of regional precipitation estimation. It had a higher degree of accuracy compared with the other two methods and a wider scope of application.

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《寒旱区科学：英文版》 |2016年第006期|P.485-494|共10页
作者
JinKui Wu; ShiWei Liu; LePing Ma; Jia Qin; JiaXin Zhou; Hong Wei;
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作者单位

[1]Laboratory of Watershed Hydrology and Ecology, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

[2]State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

[3]Shule River Basin Water Resources Administration Bureau of Gansu Province, Yumen, Gansu 735200, China;

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原文格式 PDF
正文语种 CHI
中图分类降水预报;
关键词
区域降水插值方法采样方法估计误差 Kriging 中国西北部空间变异性随机抽样;

机译：区域降水插值方法采样方法估计误差 Kriging 中国西北部空间变异性随机抽样;

Comparison analysis of sampling methods to estimate regional precipitation based on the Kriging interpolation methods： A case of northwestern China

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