气候变化领域集成服务门户(CCPortal): Influence of instrumentation on long temperature time series

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DOI	10.1007/s10584-019-02545-z
	Influence of instrumentation on long temperature time series
	Acquaotta F.; Fratianni S.; Aguilar E.; Fortin G.
发表日期	2019
ISSN	0165-0009
起始页码	385
结束页码	404
卷号	156 期号:3
英文摘要	In time series of essential climatological variables, many discontinuities are created not by climate factors but changes in the measuring system, including relocations, changes in instrumentation, exposure or even observation practices. Some of these changes occur due to reorganization, cost-efficiency or innovation. In the last few decades, station movements have often been accompanied by the introduction of an automatic weather station (AWS). Our study identifies the biases in daily maximum and minimum temperatures using parallel records of manual and automated observations. They are selected to minimize the differences in surrounding environment, exposition, distance and difference in elevation. Therefore, the type of instrumentation is the most important biasing factor between both measurements. The pairs of weather stations are located in Piedmont, a region of Italy, and in Gaspé Peninsula, a region of Canada. They have 6 years of overlapping period on average, and 5110 daily values. The approach implemented for the comparison is divided in four main parts: a statistical characterization of the daily temperature series; a comparison between the daily series; a comparison between the types of events, heat wave, cold wave and normal events; and a verification of the homogeneity of the difference series. Our results show a higher frequency of warm (+ 10%) and extremely warm (+ 35%) days in the automated system, compared with the parallel manual record. Consequently, the use of a composite record could significantly bias the calculation of extreme events. © 2019, Springer Nature B.V.
语种	英语
scopus关键词	Automation; Time series; Automated systems; Automatic weather stations; Daily temperatures; Higher frequencies; Maximum and minimum temperatures; Measuring systems; Statistical characterization; Surrounding environment; Weather information services; climate change; cold wave; condition factor; environmental factor; extreme event; homogeneity; instrumentation; Canada; Gaspe Peninsula; Italy; Piedmont [Italy]; Quebec [Canada]
来源期刊	Climatic Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147388
作者单位	Department of Earth Sciences, University of Torino, Via Valperga Caluso, 35, Turin, 10125, Italy; Centro Interdipartimentale sui Rischi Naturali in Ambiente Montano e Collinare, NatRisk, via Leonardo da Vinci 44, Grugliasco, Turin, 10095, Italy; Center for Climate Change (C3), Universitat Rovira i Virgili, Tarragona, Spain; Département d’histoire et de géographie, Université de Moncton, Moncton, NB E1A 3E9, Canada
推荐引用方式 GB/T 7714	Acquaotta F.,Fratianni S.,Aguilar E.,et al. Influence of instrumentation on long temperature time series[J],2019,156(3).
APA	Acquaotta F.,Fratianni S.,Aguilar E.,&Fortin G..(2019).Influence of instrumentation on long temperature time series.Climatic Change,156(3).
MLA	Acquaotta F.,et al."Influence of instrumentation on long temperature time series".Climatic Change 156.3(2019).