一种基于空间相关性和B样条曲面拟合的地面气温质量控制算法
投稿时间:2018-07-03  修订日期:2018-08-03  点此下载全文
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作者单位E-mail
叶小岭 南京信息工程大学信息与控制学院 xyz.nim@163.com 
杨帅 南京信息工程大学信息与控制学院 shuaiyangnuist@163.com 
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
中文摘要:摘要:本文将B样条曲面拟合算法引入到地面气温观测资料的质量控制当中,考虑到区域内各邻站与目标站观测值之间的空间相关性,提出了一种基于空间相关性和B样条曲面拟合的地面气温观测资料质量控制算法(BSF算法)。选择2012年~2014年南平站、南京站、太原站、拉萨站、景洪站和长春站以及其周围300km内参考站的02:00、08:00、14:00、20:00定时气温作为观测资料,结合平均绝对误差(MAE)、均方根误差(RMSE)、一致性指标(IOA)和纳什系数(NSC)对目标站地面气温资料进行质量控制分析。另外,利用BSF算法对2014年第10号台风“麦德姆”天气下的地面气温观测资料进行质量控制。将BSF算法的质量控制效果分别与传统的IDW算法和SRT算法进行对比,试验结果表明:在不同案例下,BSF算法的质量控制效果均优于IDW算法和SRT算法,能更有效地标记出气温观测数据中的可疑值。
中文关键词:空间相关性  B样条曲面拟合  地面气温  质量控制
 
A Quality Control Algorithm for Surface Air Temperature Observations Based on Spatial Correlation and B Spline Surface Fitting
Abstract:Abstract: The B spline surface fitting algorithm is employed to the quality control of surface air temperature observation. Considering the spatial correlation between the neighboring stations and target station, a quality control algorithm based on spatial correlation and B spline surface fitting (BSF) was proposed. The 02:00, 08:00, 14:00, 20:00 surface air temperature data from 2012 to 2014 at Nanping, Nanjing, Taiyuan, Lasa, Jinghong, Changchun station and the reference stations within 300km were chosen as observation data. Combining with the mean absolute error (MAE), the root mean square error (RMSE), the consistency index (IOA) and the nash coefficient (NSC), the surface air temperature data of target station is quality controlled. In addition, the BSF method is also employed to control the quality of surface air temperature observation for the No.10th typhoon “Matmo” in 2014. The results of the comparison led to the recommendation that the BSF method is superior to IDW and SRT for all cases, and the proposed method can effectively identify errors in temperature observation data.
keywords:Spatial correlation  B spline surface fitting  Surface temperature  Quality control
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