摘要
利用上海地区2016年11月份探空气温观测资料,把观测资料分为五个高度段,采用平均绝对误差(MAE)和均方根误差(RMSE)对气温观测资料进行质量控制分析。对每个高度段气温观测资料进行三次样条插值,结合交叉检验的思想对探空质量控制进行研究。结果表明:三次样条插值的质量控制算法在低空天气状况良好的条件下,对探空气温观测资料的质量控制效果显著,能更有效地标记出气温观测数据中的可疑值。
Using the air temperature observation data of a region in Shanghai in November 2016, the observation data was divided into five height segments, and the average absolute error (MAE) and root mean square error (RMSE) were used to analyze the temperature observation data. The spline interpolation was performed on the temperature observation data of each height section, and the quality control of sounding was studied by the idea of cross-checking. The results show that the quality control algorithm of cubic spline interpolation has a significant effect on the quality control of the air temperature observation data under low and sunny weather conditions, and can more effectively mark the suspicious value in the temperature observation data.
作者
潘霄
叶小岭
熊雄
王佐鹏
陈昕
Pan Xiao;Ye xiaoling;Xiong xiong;Wang zuopeng;Chen xin(School of Automation,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044)
出处
《气象研究与应用》
2019年第2期90-93,97,共5页
Journal of Meteorological Research and Application
基金
国家自然科学基金项目（41675156）
南京信息工程大学人才启动经费（2243141701053)
关键词
气温观测资料
三次样条插值
交叉检验
探空质量控制
temperature observation data
cubic spline interpolation
cross test
quality control of sounding
