全球逐时地面气温质量检测方法及应用  

Quality Detection Method and Application of Global Hourly Surface Temperature

作　　者：姚莉 林建 李伟 白新萍 吕终亮 何锡汶 YAO Li;LIN Jian;LI Wei;BAI Xinping;LYU Zhongliang;HE Xiwen(National Meteorological Center,Beijing 100081)

机构地区：[1]国家气象中心,北京100081

出　　处：《气象科技》2022年第1期1-8,共8页Meteorological Science and Technology

基　　金：国家重点研发计划(2018YFC1507205);国家气象中心预报员专项(Y202135)共同资助。

摘　　要：基于国家气象信息中心全球地面气象观测站及非气象观测站逐时气温数据,应用分月阈值、区块阈值、纬带阈值及空间一致性综合检测方法,构建了2016—2020年全球逐时地面气温数据集,并设计了可实时更新的质量检测流程,为全球预报服务和科研业务提供可靠的数据保障。近5年数据的检测结果表明,全球总的可疑错误数据率为0.85%,亚洲的可疑错误数据较多,占亚洲数据样本的1.67%,占全球可疑错误数据的72%左右,并以夏秋两季检出数据较多。79%左右的可疑数据是通过区块阈值与空间一致性方法检测出的非气象观测站点数据,站点极值与空间一致性检出的观测站可疑数据占9%以上。Based on the real-time hourly temperature data of global surface meteorological observation stations and non-meteorological observation stations of the National Meteorological Information Center,a real-time updating quality detection process is designed by applying the monthly threshold,block threshold,zonal threshold and spatial consistency comprehensive detection methods.The global hourly surface temperature data set from 2016 to 2020 is established to provide reliable data support for global forecasting services and scientific researches.The detection results of data in the recent five years show that suspicious and wrong data accounted for 0.85%of the total global data.More suspicious and wrong data in Asia accounted for 1.67%of the data samples in Asia,about 72%of the global suspicious error data,and more data are detected in summer and autumn.About 79%of the suspicious data of non-meteorological observation stations are detected by the block threshold and spatial consistency method.More than 9%of the suspicious data of observation stations are detected by the station extreme value and spatial consistency method.

关 键 词：质量检测 全球逐时气温 可疑错误数据 

分 类 号：P413.2[天文地球—大气科学及气象学]