空间回归检验方法在地面气象资料质量控制中的应用——以逐时气温资料为例

A Research on the Application of Spatial Regression Test in Quality Control of Surface Meteorological Data:A Case Study of the Hourly Temperature

研究和分析了空间回归检验方法在检验2007年江苏省地面逐时气温资料中的实用性。利用该方法对连云港、南京、无锡三个地区进行了质量控制检验,这三个地区的地理特征、台站密集度均存在差异。在兼顾两类统计错误的基础上提出了均方查错率的概念,实现在不同条件下对最佳f值的选择。结果表明:空间回归检验方法能够有效的实现对逐时气温资料的质量控制,但在很大程度上受到季节、地理环境、站台密集程度以及f取值的影响,通过均方查错率对最佳f值的选择能够提高空间回归检验方法的质量控制效果。

A spatial regression test approach was used in the quality control of surface meteorological data in Jiangsu for the year of2007 in order to evaluate the applicability of this approach. The tests were carried out over three regions, Lianyungang, Nanjing, Wuxi,these three regions represent the diverse landforms and topographical features from coastal regions to mountainous regions to plains. The density of stations also varies significantly within these three regions. A mean square ratio of error checking, taking into account the Type errorsⅠand TypeⅡ errors, was described to find the best value of f. It＇s shown that spatial regression test works well in checking the errors of surface hourly air temperature, but the effect of the method is heavily influenced by seasons, geography, density of stations and the value of f. More, using the mean square ratio of error checking to find the best value of f can improve the efficiency of quality control.