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* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Dear Professor Chapman, First, thank you for your help throughout the submission and review process. We have taken the reviews seriously and hope our revised manuscript shows a token of our collective appreciations. We also thank the two reviewers for their careful reading of the manuscript, as well as for their insightful suggestions. We have made every effort to address the reviews (hence a longer‐than‐expected revision process). All the points raised by the reviewers have been answered with utmost care. We have made the following key changes to improve the overall quality of the paper, 1. We add and discuss 3 additional figures per reviewer’s requests. Figure 1 has also been modified to include a small inset to show the relative geographic location of the array. 2. In view of the imbalance of the 3 topics (receiver function, seismic tomography, and anisotropy) where topic 2 had much less coverage (see review), we have 1) Switched the order of presentation where receiver function and anisotropy are discussed before tomography (which is relatively new). 2. Add an additional figure in the tomography section and provide more details on the method, results and discussions. All of the above have been performed with great care and now all three sections are equally well covered and useful for the readers. 3. Corrected the phrase “Western Canadian Sedimentary Basin” to “Western Canada Sedimentary Basin”. This includes a minor change to the title of the paper for the sake of correctness. 4. The paper has been proofread and very minor textual change have been made to weed out small errors/inconsistencies. The manuscript has improved significantly in our view, thanks to suggestions by you and the reviewers. Hopefully it is satisfactory. Again, we want to express our sincere appreciations to you for your speedy handling of this manuscript. Attached to this letter is a pointbypoint response to the reviews. With best regards, Jeff Gu and Coauthors PointbyPoint response to the reviews: Review 1: (1) This is a concise, well-written paper that describes the recently installed CRANE seismic network and presents some preliminary analyses of the data (receiver functions, ambient noise, and shear wave splitting). The paper provides an excellent documentation of the CRANE network and a good first-pass analysis of the data. Of course, the analyses presented here (and their interpretation) are very preliminary, but the authors are very upfront about this. Overall this paper provides a very good overview of the CRANE dataset and some preliminary findings. I have a few suggestions for very minor revision, detailed below, but in my opinion this paper will make a good contribution to SRL.” We thank the reviewer for the constructive comments. (2) It is probably worthwhile to mention what type of Trillium sensors are used in the deployment in the description of the array specs. We agree, on page 4, section 2, paragraph 2, we have now specified “Trillium 240 and 120 seismometers”. (3) The discussion of different tectonic domain names (Buffalo Head, Wabamum, Thorsby, etc. at end of section 3.1 and elsewhere in the paper) is a little confusing for readers who are not terribly familiar with the region. Would it be possible to add these names to a map in one of the figures? We agree. Now, a new figure (Figure 5) has been added to show the tectonic regimes. It has been referenced in the main text and figure caption is added. (4) In the description of the data preprocessing steps for the receiver function analysis – what epicentral distance range was used? We agree. Now page 8, paragraph 2, line 2 reads, “All earthquake-station pairs are restricted to the epicenter distance range of 30-90 deg and the distribution of source-receiver paths shows a dominant northwestsoutheast orientation (Figure 6b).” (5) Regarding the shear wave splitting measurements: please clarify in the text how many SKS measurements were made (on average) at each station. Are the measurements on the map in Figure 10 average measurements or single measurements? Also, it wasn’t clear to me how the double-layer anisotropy at stations EDM and JOF was inferred. Was this from the backazimuthal variation of splitting parameters? Was two-layer anisotropy explicitly modeled? This could be clarified. We agree with both comments. ---Regarding the number of events and single-vs-multiple layer anisotropy, page 12, paragraph 2, 2nd last sentence now reads, “The majority of the stations are constrained by more than 10 earthquakes, with the glaring exception of HYLO where only one earthquake is available due to a late deployment schedule. Both single- and two-layer anisotropy are considered for each station based on waveform correlations.” We also added the phrase “for multiple earthquakes” after “cross-convolution method” in the prior sentence to be more specific. --- Regarding azimuthal coverage, we have decided to add Figure 6 to the manuscript. This figure shows the event-station locations (a) and azimuth distribution (b). While this is not specific to SKS splitting, but it is equally informative for receiver functions and SKS measurements. All relevant elements (references, captions) have been added to the main text. (6) Figure 1 – I would suggest adding an inset to this map showing the location of the study area in the broader geographic and/or tectonic context of North America (for any readers whose Canada geography is lousy!). We agree, though we think the reviewer is being modest here. A map inset has been added to figure 1 to show the relative location of the study region within North America. It actually improves the overall look of that figure! (7) Figure 4 – the caption to this figure mentions the high-frequency energy from a regional earthquake visible on some of the records. Of course, the other striking feature in most of these records is the very well-recorded microseism with a period of ~8 sec or so – might be worth mentioning this feature in the caption? We agree, that is an astute observation. We have modified the caption of this figure and added to the end, “Also visible on these records is a persistent ~8-sec microseismic signal.” (8) Finally, the paper seems to be missing an abstract (at least in the version I have). Was this an omission? This may have been a problem with the adobe reader on the reviewer’s site. Review #2: The purpose of the paper is to provide an overview of the array and some of the results from the deployment. Although the results are preliminary, I find they are rather interesting and important, provided that these are first-hand observations for this part of North America. The paper is clearly written and well organized, however there are certain places that need clarification and improvement from a technique point of view. I therefore suggest its publication for the journal with minor revisions. Again, we appreciate the kind words and constructive comments. (1) In Abstract three teleseismic techniques are mentioned, however strictly speaking the ambient noise part doesn’t carry as much weight as the other two. For example, Fig. 8 provides merely data observations. What tectonic implications can we gain from this? We agree with reviewer. To remedy this, we have added the following sentences before the last sentence in the abstract, “Finally, our preliminary inversions using ambient seismic noise indicate 0.8+ km peak-to-peak phase velocity variations throughout the crust. The upper crust beneath the Alberta Basin is dominated by low Rayleigh-wave phase velocities. A lower-than-expected correlation between seismic velocities and tectonic domain boundaries suggests significant tectonic overprinting in the southern Western Canada Sedimentary Basin.” ---- Furthermore, we have switched the order of presentation for sections 3.3 and 3.4. Now shear wave splitting is discussed earlier (which is more mature), while significantly improved discussions are provided for the noise correlation tomography as ongoing efforts. Please check section 3.4 which we wrote as well as we could to raise it to the level of the other two sections while keeping an open mind on specific features. A new plot (see Figure 14) is added to show the tomographic results. (2) Section 3.2. This is a tectonically very interesting region and the crustal thickness estimates from receiver functions there are the direct observation of the transition from the more tectonically active Cordilleran orogen to the stable core part of the craton. These are important estimates, however I feel several improvements could be used. 1. Why the PREM model instead of a better regional model is used here? How much different the thickness would change if a different model is applied? We have calculated the difference between PREM and a “perturbed” regional model by increasing the contrast between mantle P and crustal S around Moho using Dziewonski and Gilbert (1976). The result shows about 2.6 km movement in crustal depths. This is a conservative estimate that introduces a net change of 2 km/sec in velocity contrast across the boundary, and this level of depth uncertainty will not affect the key results (contrast between Rockies at 55-60 km depth and the plains at ~40 km). The following sentences have been added to the main text to discuss this little experiment, “We convert these time-domain receiver functions to depth based on PREM (Dziewonski and Anderson, 1981), which provides a first-order approximation for the depths of crust and mantle reflectors in the absence of more accepted regional P or S velocity models. If one assumes a travel time uncertainty of 1 sec and an epicentral distance of 60-deg, a net velocity perturbation of 2 km/sec (1 km/sec increase in mantle P velocity and 1 km/sec decrease in lower-crustal S velocity relative to PREM) will displace the Moho interface by ~2.6 km using the perturbation theory introduced by Dziewonski and Gilbert (1976).” 2. It seems the crust thickness is read from depth-migrated traces. If it’s true the estimated thickness is less accurate than the H-k method by Zhu and Kanamori, which is popularly used by many others. We agree. However, in view that this study is really trying to get a first-order analysis of Moho, with the specific goal of surveying all reflective structures in the crust and mantle, the depth should be satisfactory as long as PREM velocities are not too several km/sec away from the truth (see comments above). The consistency of our measurements with other regional exploration-based or teleseismic results is also reassuring. That being said, an independent paper focusing on receiver function imaging (with much more details) will take this suggestion into careful consideration in the near future. 3. It would be easier for readers if the terrane names (Loverna Block; Locombe domain; etc) are labels on Fig.1 or Fig. 6 We agree. This echoes the comments from review #1. First, Figure 1 has added a map inset. More importantly, a new figure (Figure 5) is fully devoted to the domain names and boundaries. 4. What is the event distribution used in the receiver function and SKS splitting stacks? This is important especially for the SKS stacking if back-azimuthal dependent measurements are observed. How are the stacks formed? We agree. Again, this echoes comments from Review #1. We have added a new plot (now Figure 6) that shows the earthquake-station pairs and the general distribution of back-azimuths. 5. More details of the two-layer anisotropy at stations EDM and JOF (Fig. 10) could be elaborated. We agree. Page 14 paragraph 2 is specifically aimed at addressing this issue, but a concluding statement would definitely help the readership. We have added to page 14, paragraph 2 as the second last sentence, “In other words, shear deformation base of the lithosphere (~200 km) and disrupted flow at shallower depths could both be present, hence producing complex, multilayered anisotropy in this region.”