Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/7567
Adaptive Baseline Finder, a statistical data selection strategy to identify atmospheric CO2 baseline levels and its application to European elevated mountain stations [Discussion paper]
Title: Adaptive Baseline Finder, a statistical data selection strategy to identify atmospheric CO2 baseline levels and its application to European elevated mountain stations [Discussion paper]
Authors: Yuan, YenRies, LudwigPetermeier, HannesSteinbacher, MartinGómez Peláez, Ángel Jesús ORCID RESEARCHERID SCOPUSID Autor AEMETLeuenberger, Markus C.Schumacher, MarcusTrickl, ThomasCouret, CedricMeinhardt, FrankMenzel, Annette
Keywords: Atmospheric trace gas; Remote measuring; Mountain stations; Statistical methods; Carbon dioxide
Issue Date: 2017
Publisher: European Geosciences Union
Citation: Atmospheric Measurement Techniques Discussions. 2017
Publisher version: https://dx.doi.org/10.5194/amt-2017-316
Abstract: This paper presents a novel statistical data selection method for CO2 measurements at elevated mountain measuring stations. It provides insights on how data processing techniques are critical for measurements and data analyses. By applying different methods on atmospheric CO2 of various mountain stations, our method appears to be a good option as a generalized approach with improved comparability, which is important for researches on station characteristics or data analyses between stations.
Sponsorship : This work is supported by the scholarship from China Scholarship Council (CSC) under the Grant CSC No. 201508080110.
URI: http://hdl.handle.net/20.500.11765/7567
ISSN: 1867-8610
Appears in Collections:Artículos científicos 2015-2018


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