Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-7053-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
If the Yedoma thaws, will we notice? Quantifying detection limits of top-down methane monitoring infrastructures
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- Final revised paper (published on 27 Nov 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 10 Jun 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2025-604', Anonymous Referee #1, 24 Jun 2025
- AC2: 'Reply on RC1', Martijn Pallandt, 08 Sep 2025
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RC2: 'Comment on egusphere-2025-604', Anonymous Referee #2, 09 Jul 2025
- AC1: 'Reply on RC2', Martijn Pallandt, 08 Sep 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Martijn Pallandt on behalf of the Authors (08 Sep 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (14 Sep 2025) by Ilse Aben
RR by Anonymous Referee #1 (02 Oct 2025)
ED: Publish subject to technical corrections (04 Oct 2025) by Ilse Aben
AR by Martijn Pallandt on behalf of the Authors (09 Oct 2025)
Author's response
Manuscript
Post-review adjustments
AA – Author's adjustment | EA – Editor approval
AA by Martijn Pallandt on behalf of the Authors (25 Nov 2025)
Author's adjustment
Manuscript
EA: Adjustments approved (25 Nov 2025) by Ilse Aben
General comments
Methane is second most important greenhouse gas in Earth's atmosphere, and a large possible source is melting permafrost. Timely detection of
increased CH4 emission from melting permafrost is therefore an interesting and relevant research question. The authors try to answer that question by performing an OSSE with three observing platforms and increased CH4 emissions from Yedoma soils in the Arctic. The changes in CH4 can be detected and attributed best when the platforms are used in combination or over longer time periods. Since the article adresses a relevant sicientific topic from an instrumentation perspective, it
should be published after consideration of the specific comments given below.
The paper uses outdated versions of the EDGAR emission database and TROPOMI retrieval products (see specific comments), without a proper justification. At the very least, such a justification should be added to the paper, but the paper would be more relevant if the OSSEs were based on recent datasets.
Specific comments
*) page 3, line 125: it is mentioned that the model as a 0.5 degree
horizontal resolution. But the horizontal extent is not mentioned,
is it global or regional? Figure 1 and 5 only show latitude >~ 50N.
*) page 3, line 128: Why use EDGAR v4.3.2 (which is apparently from
2017, even though the cited publication is from 2019.
See https://edgar.jrc.ec.europa.eu/archived_datasets) if more
recent versions of the database are available (such as the 2024
version EDGAR_2024_GHG)?
*) page 3, line 136: Why pick 2010 as baseline year? Later TROPOMI data
from 2019 is used for the synthetic data. So you could have used
actual TROPOMI data with measured cloud fractions etc..
What would change if you modelled a longer time period?
*) page 3, line 137: do you only amplify the Yedoma gridcells and keep
the emission from the non-Yedoma grid cells constant?
*) page 5, line 187: although the version numbering of TROPOMI SRON
and operational retrievals could be improved, I think that v0017
is an older version of the SRON retrieval product. Lorente et al.
(2022, https://doi.org/10.5194/amt-2022-255) describe important
updates to the algorithm improving the retrievals. These updates
have since then been incorporated into the operational (reprocessed)
product. The question is therefore, why use an older version of the
product?
*) page 5, line 189: Why use version 1.5 of the WFMD product?
Version 1.8 has been available for years
(e.g. https://doi.org/10.5194/amt-16-669-2023)
while the most recent version is 2.0:
https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/index.php
*) page 5, line 189/190: The sentence "Both of these products only
contain successful retrievals." is incorrect. These products do contain
e.g. non converged retrievals, but you can (and probably should) select
only the successful retrievals with the provided quality flags.
*) page 5, line 199: "... fitting a curve to reported uncertainties..."
Please provide a plot with this fit.
*) page 5~7, sections 2.3 and 2.4: How is the model sampled for satellite
observations? Is the averaging kernel taken into account?
*) page 7, line 256-257: wrt. the t-test, is the test statistic used in
a one or two-tailed significance test, and what about the null and
alternative hypotheses?
*) page 11~13, figures 6~8: why use 28-day bin sizes while in lines
277-279 (page 7) it is mentioned that "for the remaining evaluation
we focus on the 112 day bin..."?
Technical corrections
*) page 1, line 3: affiliation of last author (Gockede) is missing.
*) page 1, line 15: please change satellites to satellite instruments.
*) page 2, line 85: since this is the first mention after the abstract
of MERLIN, please provide the full instrument name in addition to
the acronym.
*) page 6, table 1: fix the vertical alignent of the cell "Ice, TROPOMI"
(containing the number 141461)