Articles | Volume 18, issue 19
https://doi.org/10.5194/amt-18-5003-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.Turbulent enhancement ratios used for characterizing local emission sources in a complex urban environment
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- Final revised paper (published on 01 Oct 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 16 Oct 2024)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2024-2939', Anonymous Referee #1, 14 Jan 2025
- AC1: 'Reply on RC1', Thomas Karl, 18 Mar 2025
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RC2: 'Comment on egusphere-2024-2939', Anonymous Referee #2, 27 Jan 2025
- AC2: 'Reply on RC2', Thomas Karl, 18 Mar 2025
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Thomas Karl on behalf of the Authors (18 Mar 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2025) by Cléo Quaresma Dias-Junior
RR by Anonymous Referee #2 (11 Apr 2025)

ED: Publish as is (20 May 2025) by Cléo Quaresma Dias-Junior
AR by Christian Lamprecht on behalf of the Authors (20 May 2025)
Review of ‚ The Turbulent Enhancement Ratio as a novel Approach for Characterizing Local Emission Sources in Complex Environments’ by Lamprecht et al.,
Summary statement:
First, I would like to apologize to the authors for the late turn-in of the review. I hope this report is stil of use to you.
This study proposes a statistical quantity termed the ‘Turbulent Enhancement Ratio (TER)’ to detect and evaluate different scalar sinks and sources of reactive trace gases in urban airflows. The terminology TER is chosen in analogy to a commonly used quantity NER, which has been used in atmospheric chemistry studies when the background concentrations needed to compute excess mixing ratios (EMRs) are unknown. The difference between NER and TER is that NER are computed from slow-response analyzers or time-averaged quantities from fast-response analyzers, while the instrumentation for quantifying the TER can resolve the turbulent motions and hence the variability on shorter timescales. In a first step, TERs from long-term observations are compared against a third quantify termed ‘flux ratio’ FR for validation, before they are used to study bulk statistics and case studies for the observations in Innsbruck partly dedicated to separating the effects of the anomalous covid-19 lockdown to ‘normal’ conditions.
I find the current study already has some merit, but to tap into its full potential and merit full publication it requires a much more thorough presentation and discussion of the definitions, similarities, and differences across the statistical flow and flux quantities. Since this journal is concerned with ‘techniques’, these questions need to be answered unambiguously. Based on the current draft I cannot tell whether the authors are aware that mathematically the TER is identical to the NER, or if it is just a poor explanation/ presentation of the statistics or an oversight. What is correct is that our physical interpretation of these quantities may be different because these quantities may represent different portions of the turbulence spectrum and/ or the mean flow, and hence the processes contained in these statistical quantities may be different. I explicitly say ‘may’ because the authors do not define the meaning of their triangular brackets usually indicating some spatial or conditional averaging in Eq. 3, and hence I cannot tell if true physical or mathematical differences exist. To me, the TER is rather a spectral similarity ratio rather than a novel quantity separating sink and sources since it is almost identical to the FR, but again, the authors need to improve its explanation. The later part dedicated to bulk statistics and case studies is informative, I have some minor questions about specific statements listed below.
In summary, I believe that the current draft may offer substantial merit after the statistical questions are clarified. The study fits well into the scope of the journal. I recommend reassessment after major revisions.
Major comments:
Detailed comments: