Estimation of uncertainty in temperature observations made at meteorological stations using a probabilistic spatiotemporal approach

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	Estimation of uncertainty in temperature observations made at meteorological stations using a probabilistic spatiotemporal approach
	Hu Mao-Gui
	2014
关键词	Uncertainty analysis Meteorology Quality control
英文摘要	A probabilistic spatiotemporal approach based on a spatial regression test (SRT-PS) is proposed for the quality control of climate data. It provides a quantitative probability that represents the uncertainty in each temperature observation. The assumption of SRT-PS is that there might be large uncertainty in the station record if there is a large residual difference between the record estimated in the spatial regression test and the true station record. The result of SRT-PS is expressed as a confidence probability ranging from 0 to 1, where a value closer to 1 indicates less uncertainty. The potential of SRT-PS to estimate quantitatively the uncertainty in temperature observations was demonstrated using an annual temperature dataset for China for the period 1971-2000 with seeded errors. SRT-PS was also applied to assess a real dataset, and was compared with two traditional quality control approaches: biweight mean and biweight standard deviation and SRT. The study provides a new approach to assess quantitatively the uncertainty in temperature observations at meteorological stations. 2014 American Meteorological Society.
出处	Journal of Applied Meteorology and Climatology
卷	53 期:6 页:1538-1546
收录类别	EI
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/31420]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Hu Mao-Gui. Estimation of uncertainty in temperature observations made at meteorological stations using a probabilistic spatiotemporal approach. 2014.