2017
DOI: 10.1002/2017jg003830
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High‐quality eddy‐covariance CO2 budgets under cold climate conditions

Abstract: This study aimed at quantifying potential negative effects of instrument heating to improve eddy‐covariance flux data quality in cold environments. Our overarching objective was to minimize heating‐related bias in annual CO2 budgets from an Arctic permafrost system. We used continuous eddy‐covariance measurements covering three full years within an Arctic permafrost ecosystem with parallel sonic anemometers operation with activated heating and without heating as well as parallel operation of open‐ and closed‐p… Show more

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Cited by 37 publications
(31 citation statements)
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“…We interpret the stronger CO 2 and CH 4 signals at Ambarchik as stronger local and regional fluxes compared with those captured at Barrow. Strong CH 4 enhancements were recorded at Ambarchik well into the winter, which is evidence for the relevance of cold season emissions (Kittler et al, 2017b;Mastepanov et al, 2008;Zona et al, 2016). While the average growth rate of CO 2 at Ambarchik matched that at Barrow, the growth rate of CH 4 at Ambarchik was smaller.…”
Section: Discussionmentioning
confidence: 75%
“…We interpret the stronger CO 2 and CH 4 signals at Ambarchik as stronger local and regional fluxes compared with those captured at Barrow. Strong CH 4 enhancements were recorded at Ambarchik well into the winter, which is evidence for the relevance of cold season emissions (Kittler et al, 2017b;Mastepanov et al, 2008;Zona et al, 2016). While the average growth rate of CO 2 at Ambarchik matched that at Barrow, the growth rate of CH 4 at Ambarchik was smaller.…”
Section: Discussionmentioning
confidence: 75%
“…At high latitudes, the EC measurement uncertainty may be relatively larger during the winter, for example, due to frozen sonic and/or more frequently malfunctioning gas analyzer, which may potentially result in a larger proportion of data gaps and the associated greater gap-filling uncertainty (Kittler et al, 2017).…”
Section: Eddy Covariance Measurementsmentioning
confidence: 99%
“…For more details regarding instrumentation setup, data processing and data quality assessment, please refer to Appendix A and Kittler et al (2016Kittler et al ( , 2017, which also summarizes our approach to constrain eddy-covariance data uncertainty. Since we used exactly the same instrumentation at both drainage and control sites, and also the same data processing and quality assessment approaches, our experimental setup rules out systematic differences in the observational data sets between the treatments that can be linked to methodological issues.…”
Section: Meteorological Towersmentioning
confidence: 99%