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Evaluation and optimization of ICOS atmosphere station data as part of the labeling process

Yver-Kwok, Camille and Philippon, Carole and Bergamaschi, Peter and Biermann, Tobias and Calzolari, Francescopiero and Chen, Huilin and Conil, Sebastien and Cristofanelli, Paolo and Delmotte, Marc and Hatakka, Juha and Heliasz, Michal and Hermansen, Ove and Kominkova, Katerina and Kubistin, Dagmar and Kumps, Nicolas and Laurent, Olivier and Laurila, Tuomas and Lehner, Irene and Levula, Janne and Lindauer, Matthias and Lopez, Morgan and Mammarella, Ivan and Manca, Giovanni and Marklund, Per and Metzger, Jean-Marc and Molder, Meelis and Platt, Stephen M. and Ramonet, Michel and Rivier, Leonard and Scheeren, Bert and Sha, Mahesh Kumar and Smith, Paul and Steinbacher, Martin and Vitkova, Gabriela and Wyss, Simon (2021). Evaluation and optimization of ICOS atmosphere station data as part of the labeling process. Atmospheric Measurement Techniques. 14 , 89-116
[Research article]

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Abstract

The Integrated Carbon Observation System (ICOS) is a pan-European research infrastructure which provides harmonized and high-precision scientific data on the carbon cycle and the greenhouse gas budget. All stations have to undergo a rigorous assessment before being labeled, i.e., receiving approval to join the network. In this paper, we present the labeling process for the ICOS atmosphere network through the 23 stations that were labeled between November 2017 and November 2019. We describe the label-ing steps, as well as the quality controls, used to verify that the ICOS data (CO2, CH4, CO and meteorological measurements) attain the expected quality level defined within ICOS. To ensure the quality of the greenhouse gas data, three to four calibration gases and two target gases are measured: one target two to three times a day, the other gases twice a month. The data are verified on a weekly basis, and tests on the station sampling lines are performed twice a year. From these high-quality data, we conclude that regular calibrations of the CO2, CH4 and CO analyzers used here (twice a month) are important in particular for carbon monoxide (CO) due to the analyzer's variability and that reducing the number of calibration injections (from four to three) in a calibration sequence is possible, saving gas and extending the calibration gas lifespan. We also show that currently, the on-site water vapor correction test does not deliver quantitative results possibly due to environmental factors. Thus the use of a drying system is strongly recommended. Finally, the mandatory regular intake line tests are shown to be useful in detecting artifacts and leaks, as shown here via three different examples at the stations.

Authors/Creators:Yver-Kwok, Camille and Philippon, Carole and Bergamaschi, Peter and Biermann, Tobias and Calzolari, Francescopiero and Chen, Huilin and Conil, Sebastien and Cristofanelli, Paolo and Delmotte, Marc and Hatakka, Juha and Heliasz, Michal and Hermansen, Ove and Kominkova, Katerina and Kubistin, Dagmar and Kumps, Nicolas and Laurent, Olivier and Laurila, Tuomas and Lehner, Irene and Levula, Janne and Lindauer, Matthias and Lopez, Morgan and Mammarella, Ivan and Manca, Giovanni and Marklund, Per and Metzger, Jean-Marc and Molder, Meelis and Platt, Stephen M. and Ramonet, Michel and Rivier, Leonard and Scheeren, Bert and Sha, Mahesh Kumar and Smith, Paul and Steinbacher, Martin and Vitkova, Gabriela and Wyss, Simon
Title:Evaluation and optimization of ICOS atmosphere station data as part of the labeling process
Series Name/Journal:Atmospheric Measurement Techniques
Year of publishing :2021
Volume:14
Page range:89-116
Number of Pages:28
Publisher:COPERNICUS GESELLSCHAFT MBH
ISSN:1867-1381
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Meteorology and Atmospheric Sciences
URN:NBN:urn:nbn:se:slu:epsilon-p-110452
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-110452
Additional ID:
Type of IDID
DOI10.5194/amt-14-89-2021
Web of Science (WoS)000606792100002
ID Code:22812
Faculty:S - Faculty of Forest Sciences
Department:(S) > Unit for Field-based Forest Research
Deposited By: SLUpub Connector
Deposited On:22 Mar 2021 08:03
Metadata Last Modified:22 Mar 2021 08:11

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