Articles | Volume 17, issue 1
https://doi.org/10.5194/se-17-1-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Seismic anisotropy under Zagros foreland from SKS splitting observations
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- Final revised paper (published on 06 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 28 Apr 2025)
Interactive discussion
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Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2025-1231', Anonymous Referee #1, 20 May 2025
- AC1: 'Reply on RC1', Khalil Motaghi, 15 Aug 2025
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RC2: 'Comment on egusphere-2025-1231', Anonymous Referee #2, 26 May 2025
- AC2: 'Reply on RC2', Khalil Motaghi, 15 Aug 2025
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AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Khalil Motaghi on behalf of the Authors (15 Aug 2025)
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ED: Referee Nomination & Report Request started (12 Sep 2025) by CharLotte Krawczyk
RR by Anonymous Referee #1 (03 Oct 2025)
ED: Reconsider after major revisions (07 Oct 2025) by CharLotte Krawczyk
AR by Khalil Motaghi on behalf of the Authors (22 Oct 2025)
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ED: Publish as is (08 Dec 2025) by CharLotte Krawczyk
ED: Publish as is (08 Dec 2025) by CharLotte Krawczyk (Executive editor)
AR by Khalil Motaghi on behalf of the Authors (13 Dec 2025)
Manuscript
In abstract: These findings refine our understanding of mantle dynamics and lithosphere-asthenosphere interactions in the Zagros collision zone.
This is rather generic statement. Authors must emphasize their findings on what new tectonic-geodynamic concluding remarks this study brings in the fragment of the research.
Moreover the abstract and introduction sections lack a scientific rationale, which is essential for the study. The authors must provide this rationale as the main motivation, explaining why they initiated the study in this region. That is to say, the significance of studying seismic anisotropy and its role in elucidating the remaining portion of the puzzle must be examined explicitly.
“In addition to asthenospheric flow, we also consider the possibility of “frozen” anisotropy, inherited from the study region’s tectonic history as part of the northern Gondwana landmass.”
This is a qualitative argument but is required to be proven by some advanced sophisticated modelling techniques that can enable to resolve actual orientation and type of symmetry (hexagonal, orthorhombic, etc) of the “frozen fabric” if exists.
So a total of 3256 records were initially selected and following data quality criteria, the final data set was including those with 155 non-null and 630 null. Can you also please enlighten us how many earthquakes you have selected at the beginning and how many out of the total event number you obtained in the end.
Line#97: “ … (5) at least a 50% reduction in energy on the transverse component after anisotropy correction … ”
I suppose this minuimum threshold for tangential energy is still high. What is your argument? Do you loose too many events if you increase the reduction threshold to for instance 70-80 and more over? How do you justify the estimated anisotropy if you can only correct the half of the energy related to anisotropy?
Lines# i.e. 102 or 104: change Sh to “SH”
The authors employ a conventional approach to splitting detection and measurement, utilizing the cross-correlation technique. According to my recollection, some early works (e.g., Vecsey et al., 2008) identified three known methods for solving the aforementioned problem. These three methods are eigen value, cross-correlation, and minimum tangential energy. The latter method has been shown to provide more robust and stable solutions than the other two methods based on several noise-free or -added numerical tests. Indeed, the sensitivity of distinct methodologies varies in response to specific conditions, including data noise and the presence of unknown sedimentary effects. Therefore, a single method may not always guarantee this simple diagnosis of seismic anisotropy. It is recommended that two different approaches be used in conjunction with minimum energy, as well as the cross-correlation or eigen method. The optimal splitting parameters from the source-receiver cases, where there is observed to be overall consistency between at least two different methods, should then be determined.
How do you estimate uncertainty for each single measurements? Describe the approach in the a separate paragraph of method section?
Lines# 119-120: “These spatial variations suggest that the observed bimodal pattern of fast-axis orientations primarily results from lateral rather than vertical heterogeneities in the anisotropic structure.”
This appears pretty much interpretative within a section where you share your Results quantitatively. If so this has to be covered in its fine-details with supporting arguments from other previous/recent seismic tomography, receiver functions, or any geochemical, mineralogical-petrological constraints.
Lines# 162: “This consistency suggests a relatively simple and coherent anisotropic structure beneath the study region.”
I think this is one another interpretative statement of the Results. In general Results section must be the place where you can only presents your anlysis results in a quantitative and objective way. Please revisit your Results section to account for this fact.
The present work reports a large amount of null measurements compared to non-null ones. But at the same time we see that authors are not using the information from such large null measurements, even such that, larger than the number of good splitting cases for supporting their geodynamic interpretation too. It is unfortunate, even, we are not provided any information or discussion, specifically on from what type of special cases these null-splitting cases were observed, i.e., whether they are classified as null due, i.e., i) to very small delay time or ii) to the fact that pattern of cross-correlation coefficient obtained after a systematic grid search of the pairs of splitting parameters was implying a null solution most likely stemming from the azimuth of the analyzed event aligning with possible fast or normal to slow axis orientation of anisotropic structure beneath the station of interests. In case when the former observation is more valid for the null cases then this must have various reasons including i.e., isotropic nature of lithosphere, or more complicated anisotropy (e.g. possible double-layer of anisotropy in the simplest manner) characterized with orthogonal fast wave azimuths in each layer that can cancel out the effect of overall anisotropy. In overall I would like to see an in-depth discussion that are enriched specific visual data examples of null-measurements (thus this requires additional figures) and its implications on past/present geodynamic history of the region within a specific sub-section in the Discussion.
Table 1: Errors fort he splitting parameters are required in this table.
Fig. 5: What type of interpolation technique are you using. In the figure some unrealistic geometrical (rectengular shaped or triangular) relatively large or small delay time zones are noticeable that I am not sure how realistic these zones are.
Fig.7: Concerning my comments on null-splitting measurements above, I wonder if there is any systematic correlation beween LAB shown in Fig. 7d and null-splitting examples.