气候变化领域集成服务门户(CCPortal): Local regressions for decomposing CO2 and CH4 time-series in a semi-arid ecosystem

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DOI	10.1016/j.apr.2019.10.012
	Local regressions for decomposing CO2 and CH4 time-series in a semi-arid ecosystem
	Fernández-Duque B.; Pérez I.A.; García M.Á.; Pardo N.; Sánchez M.L.
发表日期	2020
ISSN	13091042
卷号	11 期号:1
英文摘要	Local regressions have been widely employed for decomposing atmospheric data series. However, the use of local quadratic regressions is less extended. The current paper is grounded on the hypothesis that local linear regressions are able to capture CO2 and CH4 temporal evolution equally as well as quadratic linear regressions. Thus, the current paper pursues the following goals: (1) to quantify the temporal variability of both gases by using the local linear and local quadratic regression method; (2) to analyse the main statistics of the detrended series over time; (3) to compare results between the local linear and local quadratic regression method. Minimum mixing ratios in late summer and maximum in winter were detected for both gases. Atmospheric increases of an average of 1.98 ppm year−1 for CO2 and 11 ppb year−1 for CH4 were found when applying the local linear regression method. Alternatively, an increase of 2.24 ppm year−1 for CO2 and around 10.34 ppb year−1 for CH4 was obtained when the local quadratic regression method was applied. The Pearson correlation coefficients (0.21–0.40) showed acceptable values due to the large amount of available data. Statistically significant differences for the initial and the smoothed trend, as well as statistically significant differences for the seasonal component, were reported when comparing the local linear with the local quadratic method. Overall, both methods proved easy to apply and both provided acceptable data accuracy. © 2019 Turkish National Committee for Air Pollution Research and Control
英文关键词	Bandwidth; Detrended series; Local linear regression; Local quadratic regression; r-Values
语种	英语
来源期刊	Atmospheric Pollution Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120675
作者单位	Department of Applied Physics, Faculty of Sciences, University of Valladolid, Paseo de Belén, Valladolid, 7 47011, Spain
推荐引用方式 GB/T 7714	Fernández-Duque B.,Pérez I.A.,García M.Á.,et al. Local regressions for decomposing CO2 and CH4 time-series in a semi-arid ecosystem[J],2020,11(1).
APA	Fernández-Duque B.,Pérez I.A.,García M.Á.,Pardo N.,&Sánchez M.L..(2020).Local regressions for decomposing CO2 and CH4 time-series in a semi-arid ecosystem.Atmospheric Pollution Research,11(1).
MLA	Fernández-Duque B.,et al."Local regressions for decomposing CO2 and CH4 time-series in a semi-arid ecosystem".Atmospheric Pollution Research 11.1(2020).