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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra fyziky (31300)
Title:
Automated eddy covariance data quality control for long-term measurements
Citace
ŠIGUT, L., Mauder, M., Sedlák, P., Pavelka, M. a Špunda, V. Automated eddy covariance data quality control for long-term measurements.
In:
4th Annual Global Change - A Complex Challenge: GLOBAL CHANGE: A COMPLEX CHALLENGE 2015-03-23 Brno.
Brno: GLOBAL CHANGE RESEARCH CENTRE CAS, 2015. s. 58-61. ISBN 978-80-87902-10-3.
Subtitle
Publication year:
2015
Obor:
Biofyzika
Number of pages:
4
Page from:
58
Page to:
61
Form of publication:
Elektronická verze
ISBN code:
978-80-87902-10-3
ISSN code:
Proceedings title:
GLOBAL CHANGE: A COMPLEX CHALLENGE
Proceedings:
Mezinárodní
Publisher name:
GLOBAL CHANGE RESEARCH CENTRE CAS
Place of publishing:
Brno
Country of Publication:
Sborník vydaný v ČR
Název konference:
4th Annual Global Change - A Complex Challenge
Místo konání konference:
Brno
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000381161600013
EID:
Key words in English:
NET ECOSYSTEM EXCHANGE
Annotation in original language:
Estimation of matter and energy exchange using the eddy covariance method is often organized into regional or global networks. To achieve comparability among sites, it is important to standardize and specify the methodology used. Currently, quality control (QC) is one of the most time-demanding steps in data processing within the Czech Carbon Observation System. Although manual QC (MQC) enables consideration of more complex test applications, it is often difficult to document. The aim of this study was to establish an automated QC (AQC) scheme based on available literature and post-processing software and test its effectivity and reliability on sites comprising an agroecosystem and a mature European beech forest. AQC successfully flagged low-quality CO2 fluxes and provided estimates of net ecosystem productivity similar to estimates based on MQC. The tests' efficiency was particularly high for the agroecosystem, where AQC removed 13% less data than did MQC. We conclude that the adopted AQC displays satisfactory performance, especially for sites with low canopy heights.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/15:A1701M4H
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