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Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO2 data and its application to European elevated mountain stations
Título : Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO2 data and its application to European elevated mountain stations
Autor : Yuan, YenRies, LudwigPetermeier, HannesSteinbacher, MartinGómez Peláez, Ángel Jesús ORCID RESEARCHERID SCOPUSID Leuenberger, Markus C.Schumacher, MarcusTrickl, ThomasCouret, CedricMeinhardt, FrankMenzel, Annette
Palabras clave : Atmospheric gases; Remote measurement; Carbon dioxide; Statistical method
Fecha de publicación : 2018
Editor: European Geosciences Union
Citación : Atmospheric Measurement Techniques. 2018, 11(3), p. 1501-1514
Versión del editor: https://dx.doi.org/10.5194/amt-11-1501-2018
Resumen : This paper presents a novel statistical method, ADVS, for baseline selection of representative CO2 data at elevated mountain measurement stations. It provides insights on how data processing techniques are critical for measurements and data analyses. Compared with other statistical methods, our method appears to be a good option as a generalized approach with improved comparability, which is important for research on measurement site characteristics and comparisons between stations.
Patrocinador: This work was supported by a scholarship from China Scholarship Council (CSC) under grant CSC No. 201508080110.
URI : http://hdl.handle.net/20.500.11765/8848
ISSN : 1867-1381
1867-8548
Colecciones: Artículos científicos 2015-2018


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