A performance evaluation of despiking algorithms for eddy covariance data

Abstract Spike detection for raw high-frequency eddy covariance time series is a challenging task because of the confounding effect caused by complex dynamics and the high level of noise affecting such data. To cope with these features, a new despiking procedure rooted on robust functionals is propo...

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Autor principal:	Domenico Vitale
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7361c001b1744767830e81224e7e4aac
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spelling	oai:doaj.org-article:7361c001b1744767830e81224e7e4aac2021-12-02T15:57:12ZA performance evaluation of despiking algorithms for eddy covariance data10.1038/s41598-021-91002-y2045-2322https://doaj.org/article/7361c001b1744767830e81224e7e4aac2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91002-yhttps://doaj.org/toc/2045-2322Abstract Spike detection for raw high-frequency eddy covariance time series is a challenging task because of the confounding effect caused by complex dynamics and the high level of noise affecting such data. To cope with these features, a new despiking procedure rooted on robust functionals is proposed. By processing simulated data, it is demonstrated that the proposed procedure performs better than the existing algorithms and can be therefore considered as a candidate for the implementation in data center environmental monitoring systems, where the availability of automatic procedures ensuring a high quality standard of released products constitutes an essential prerequisite.Domenico VitaleNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Domenico Vitale A performance evaluation of despiking algorithms for eddy covariance data
description	Abstract Spike detection for raw high-frequency eddy covariance time series is a challenging task because of the confounding effect caused by complex dynamics and the high level of noise affecting such data. To cope with these features, a new despiking procedure rooted on robust functionals is proposed. By processing simulated data, it is demonstrated that the proposed procedure performs better than the existing algorithms and can be therefore considered as a candidate for the implementation in data center environmental monitoring systems, where the availability of automatic procedures ensuring a high quality standard of released products constitutes an essential prerequisite.
format	article
author	Domenico Vitale
author_facet	Domenico Vitale
author_sort	Domenico Vitale
title	A performance evaluation of despiking algorithms for eddy covariance data
title_short	A performance evaluation of despiking algorithms for eddy covariance data
title_full	A performance evaluation of despiking algorithms for eddy covariance data
title_fullStr	A performance evaluation of despiking algorithms for eddy covariance data
title_full_unstemmed	A performance evaluation of despiking algorithms for eddy covariance data
title_sort	performance evaluation of despiking algorithms for eddy covariance data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7361c001b1744767830e81224e7e4aac
work_keys_str_mv	AT domenicovitale aperformanceevaluationofdespikingalgorithmsforeddycovariancedata AT domenicovitale performanceevaluationofdespikingalgorithmsforeddycovariancedata
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A performance evaluation of despiking algorithms for eddy covariance data

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