Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
ACP | Articles | Volume 19, issue 6
Atmos. Chem. Phys., 19, 4041–4059, 2019
https://doi.org/10.5194/acp-19-4041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 4041–4059, 2019
https://doi.org/10.5194/acp-19-4041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Publications Copernicus
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.
Methane emissions from biogenic sources, e.g. Arctic permafrost ecosystems, are associated with...
Citation
Altmetrics
Final-revised paper
Preprint