English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

. Methane flux measurements by the eddy-covariance technique aresubject to large uncertainties, particularly linked to the partly highlyintermittent nature of methane emissions. Outbursts of high methaneemissions, termed event fluxes, hold the potential to introduce systematicbiases into derived methane budgets, since under such conditions theassumption of stationarity of the flow is violated. In this study, weinvestigate the net impact of this effect by comparing eddy-covariancefluxes against a wavelet-derived reference that is not negatively influencedby non-stationarity. Our results demonstrate that methane emission eventsinfluenced 3 %–4 % of the flux measurements and did not lead to systematicbiases in methane budgets for the analyzed summer season; however, thepresence of events substantially increased uncertainties in short-term fluxrates. The wavelet results provided an excellent reference to evaluate theperformance of three different gap-filling approaches for eddy-covariancemethane fluxes, and we show that none of them could reproduce the range ofobserved flux rates. The integrated performance of the gap-filling methodsfor the longer-term dataset varied between the two eddy-covariance towersinvolved in this study, and we show that gap-filling remains a large sourceof uncertainty linked to limited insights into the mechanisms governing theshort-term variability in methane emissions. With the capability for broadeningour observational methane flux database to a wider range of conditions,including the direct resolution of short-term variability on the order ofminutes, wavelet-derived fluxes hold the potential to generate new insightinto methane exchange processes with the atmosphere and therefore alsoimprove our understanding of the underlying processes.

biogeosciences

Quantifying the impact of emission outbursts and non-stationary flow on eddy-covariance CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt; flux measurements using wavelet techniques