| 全球逐时地面气温质量检测方法及应用 |
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| 引用本文： | 姚莉,林建,李伟,白新萍,吕终亮,何锡汶.全球逐时地面气温质量检测方法及应用[J].气象科技,2022,50(1):1-8. |
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| 作者姓名： | 姚莉 林建 李伟 白新萍 吕终亮 何锡汶 |
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| 作者单位： | 国家气象中心，北京 100081 |
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| 基金项目： | 国家重点研发计划（2018YFC1507205）和国家气象中心预报员专项(Y202135)共同资助 |
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| 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...
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| 关 键 词： | 质量检测 全球逐时气温 可疑错误数据 |
| 收稿时间： | 2021/5/14 0:00:00 |
| 修稿时间： | 2021/9/9 0:00:00 |
Quality Detection Method and Application of Global Hourly Surface Temperature |
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| YAO Li,LIN Jian,LI Wei,BAI Xinping,LYU Zhongliang,HE Xiwen.Quality Detection Method and Application of Global Hourly Surface Temperature[J].Meteorological Science and Technology,2022,50(1):1-8. |
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| Authors: | YAO Li LIN Jian LI Wei BAI Xinping LYU Zhongliang HE Xiwen |
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| Institution: | National Meteorological Center, Beijing 100081 |
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| Abstract: | 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. |
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| Keywords: | quality detection global hourly surface temperature suspicious and wrong data |
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