An algorithm to detect non-background signals in greenhouse gas time series from European tall tower and mountain stations

An algorithm to detect non-background signals in greenhouse gas time series from European tall tower and mountain stations

<p>We present a statistical framework to identify regional signals in station-based CO<span class="inline-formula"><sub>2</sub></span> time series with minimal local influence. A curve-fitting function is first applied to the detrended time series to derive a...

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Bibliographic Details
Main Authors: A. Resovsky, M. Ramonet, L. Rivier, J. Tarniewicz, P. Ciais, M. Steinbacher, I. Mammarella, M. Mölder, M. Heliasz, D. Kubistin, M. Lindauer, J. Müller-Williams, S. Conil, R. Engelen
Format: Article
Language:English
Published: Copernicus Publications 2021-09-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/6119/2021/amt-14-6119-2021.pdf

Internet

https://amt.copernicus.org/articles/14/6119/2021/amt-14-6119-2021.pdf

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