Characterisation of short-term extreme methane fluxes related to non-turbulent mixing above an Arctic permafrost ecosystem

Schaller, Carsten; Kittler, Fanny; Foken, Thomas; Göckede, Mathias

doi:https://doi.org/10.5194/acp-19-4041-2019

Articles | Volume 19, issue 6

https://doi.org/10.5194/acp-19-4041-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-4041-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 6

Research article

|

01 Apr 2019

Research article |

| 01 Apr 2019

Characterisation of short-term extreme methane fluxes related to non-turbulent mixing above an Arctic permafrost ecosystem

Carsten Schaller, Fanny Kittler, Thomas Foken, and Mathias Göckede

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Final revised paper (published on 01 Apr 2019)
Preprint (discussion started on 12 Jun 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Norbert Pirk, 28 Jun 2018
- AC1: 'Answer to N. Pirk', Carsten Schaller, 30 Nov 2018
RC2: 'review Schaller et al. acp-2018-277', Anonymous Referee #2, 26 Jul 2018
- AC2: 'Answer to Anonymous Referee #2', Carsten Schaller, 30 Nov 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Carsten Schaller on behalf of the Authors (30 Nov 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (23 Jan 2019) by Laurens Ganzeveld

RR by Anonymous Referee #2 (01 Feb 2019)

ED: Publish subject to minor revisions (review by editor) (14 Feb 2019) by Laurens Ganzeveld

AR by Carsten Schaller on behalf of the Authors (18 Feb 2019) Author's response Manuscript

ED: Publish as is (05 Mar 2019) by Laurens Ganzeveld

AR by Carsten Schaller on behalf of the Authors (06 Mar 2019) Manuscript

Short summary

Methane emissions from biogenic sources, e.g. Arctic permafrost ecosystems, are associated with uncertainties due to the high variability of fluxes in both space and time. Besides the traditional eddy covariance method, we evaluated a method based on wavelet analysis, which does not require a stationary time series, to calculate fluxes. The occurrence of extreme methane flux events was strongly correlated with the soil temperature. They were triggered by atmospheric non-turbulent mixing.