气象2012，Vol.38Issue(9)：1135-1139,5.
标准序列法在日平均气温缺测数据插补中的应用
Application of Standardized Method in Estimating Missing Daily Mean Air Temperature
摘要
Abstract
Based on the daily mean air temperature from 1971 to 2000 observed by more than 2000 national surface stations in China, a standardized method was employed to carry out missing data estimation experi- ment, and the results were verified by cross-validation. Two schemes, the relation optimal scheme and the closest station scheme, which were both used to pick up the adjacent stations, were compared. It showed that the relation optimal scheme was better than the other, and only 4 adjacent stations that are most closely related to the estimated station were necessary for estimation. The results indicated that estimate values in average deviate from true values by 0.42℃. The between the estimation and the actural measurements and absolute mean error and root mean square error the sample ratio with the differences falling in ±0.5℃ were all shown good exponential relationships with the average adjacent station distance.关键词
标准序列法/日平均气温/缺测数据插补Key words
standardized method/daily mean air temperature/missing data estimation分类
天文与地球科学引用本文复制引用
余予,李俊,任芝花,张志富..标准序列法在日平均气温缺测数据插补中的应用[J].气象,2012,38(9):1135-1139,5.基金项目
国家重点基础研究发展计划（20IOCB951600）、中国科学院战略性先导科技专项子课题（XDA05090100）和国家气象信息中心青年基金项目“中国地面历史气温序列插补”共同资助 （）
