基于逐时降水站点资料空间插值方法对比研究

doi:10.3969/j.issn.1673-503X.2017.01.005

Abstract

Abstract: The gridding of precipitation data from automatic weather stations is of the urgent need to be dealt with in current meteorological service and research,and spatial interpolation is the most direct and efficient method to fulfill it.In this study,three cases were chosen to be the typical representations of wide range intense rainfall,wide range weak rainfall and local convective weather,respectively.Based on the three sets of experiments,eight common methods for interpolation are adopted to compare the interpolation results of various methods and the influence due to station densities.The first set of experiments which is based on high-density stations (the average distance between two stations is approximately 9 km) shows that the interpolation result of CR is the best,followed by IW,NN,LP,KR,TL,MQ,SP in that order.The differences among various interpolation methods are less significant than those among samples,suggesting that it is station distributions,instead of interpolation methods,that play a dominant role in the interpolation results.The second set of experiments which is based on low-density stations (the average distance between two stations is nearly 30 km) shows that the values of RMSE (root mean square error) increase significantly,so do the differences among eight methods.The values of RMSE have a slight increase after interpolation,and the results among various methods are similar in the case of local strong convection.Sensitivity experiments are carried out using the three interpolation methods such as CR,IW,and NN,indicating that RMSE will diminish with the increase of station densities,but the trend will slow down in case that the average station distance reduces to no more than 13 km.

Key words: Hourly precipitation, Spatial interpolation, Station density, Sensitivity

CLC Number:

P426.6

XU Luan, DONG Mei-ying, CHEN Feng. Comparison study of spatial interpolation methods based on hourly precipitation data from automatic weather stations[J]. Journal of Meteorology and Environment, 2017, 33(1): 34-43.

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Comparison study of spatial interpolation methods based on hourly precipitation data from automatic weather stations

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