Topology and pressure distribution reconstruction of an englacial channel
- 1Centre for Biorobotics, Tallinn University of Technology, Tallinn, Estonia
- 2Department of Geosciences, University of Oslo, Oslo, Norway
- 3Centre for Autonomous Marine Operations and Systems, Norwegian University of Science and Technology, Trondheim, Norway
- These authors contributed equally to this work.
- 1Centre for Biorobotics, Tallinn University of Technology, Tallinn, Estonia
- 2Department of Geosciences, University of Oslo, Oslo, Norway
- 3Centre for Autonomous Marine Operations and Systems, Norwegian University of Science and Technology, Trondheim, Norway
- These authors contributed equally to this work.
Abstract. Glacier hydrology describes water movement over, through and under glaciers and ice sheets. Water reaching the ice bed influences ice motion and ice dynamical models, therefore requiring a good understanding of glacier hydrology, particularly water pressures and pathways. However, as in situ observations are sparse and methods for direct observations of water pathways and internal pressures are lacking, our understanding of the aforementioned pathways and pressure remains limited. Here, we present a method that allows the reconstruction of planar subsurface water flow paths and spatially reference water pressures. We showcase this method by reconstructing the 2D topology and the water pressure distribution of an englacial channel in Austre Brøggerbreen (Svalbard). The approach uses inertial measurements from submersible sensing drifters and reconstructs the flow path between given start and end coordinates. Validation on a supraglacial channel shows an average length error of 3.9 m (5.3 %). At the englacial channel, the average length error is 107 m (11.6 %) and the average pressure error 3.4 hPa (0.3 %). Our method allows mapping sub- and englacial flow paths and the pressure distribution within, thereby facilitating hydrological model validation. Further, our method also allows the reconstruction of other, previously unexplored, subsurface fluid flow paths.
Laura Piho et al.
Status: final response (author comments only)
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RC1: 'Comment on tc-2021-377', Ugo Nanni, 03 Feb 2022
General comment:
The study is a methodological contribution that presents a new method to map the topology of supra and en glacial flow and retrieve the water pressure along flow. Such method will benefit to the investigation of glacial hydrology and its influence on ice dynamic. The paper well presents the method. However, the purpose of the work is not clearly articulated and it lacks a wider comparison with other methods (dye tracing, GPR, seismic, satellite observations) that would help to highlight the benefits of this new methods. It also lacks information on what kind of observation are currently needed by the glacial hydrology community and how this new method may contribute to provide such observation.
I think that the proposed method is valid and suitable as well as very original and will bring new and useful information about glacial hydrology, at relatively low cost and easy deployment. It is therefore important for such method to be shared with the glaciological community.
I support the publication of this manuscript on the condition that the authors highlight (1) the advantages and limitations of their method (e.g., water pressure measurements, applicability to other setups, to subglacial environments …) (2) how their method finds its place in the current methods used to observe and model glacial hydrology and the associated challenges. Such changes might necessitate to revisit the structure of the discussion and conclusion sections as well as to provide some changes on the introduction.
See comments for more details (annoted pdf and comments pdf). My comments are aimed at highlighting where changes could be made to improve the clarity of the manuscript.
- AC2: 'Reply on RC1', Andreas Alexander, 03 Apr 2022
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RC2: 'Comment on tc-2021-377', Elizabeth Bagshaw, 03 Mar 2022
Review of Piho et al.
The paper presents a new method for calculating path length of an englacial drifter deployment by using the IMU data gathered in a model. The drifter deployment is a significant technological achievement that has resulted in a previous publication in TC. The added value of this paper is the method to utilise the data to generate a more accurate assessment of position to couple with the pressure readings from the drifter. It is a valuable contribution to the emerging arsenal of in situ measurements from englacial and (one day!) subglacial systems. The application of a model to deal with the complex IMU data is welcome.
The paper hangs on the comparison of the model constructed from one prototype drifter vs. data from another prototype drifter. Whilst I appreciate that the GNSS is quite likely to be reliable, it would be useful to give a few more details beyond a quick citation. How can the reader be confident that the ‘reference’ reports the ‘correct’ results for comparison? You state in line 232 that the GNSS is ‘not the most accurate’ and give some generic errors for the method. I would like to see much more detail about the reliability of this drifter, as well as the method in general.
The discussion is missing comparison with other published works beyond those used in the generation of the results. For example, I think comparison with the work of Church et al. at the Rhonegletscher should be considered (https://tc.copernicus.org/articles/14/3269/2020/). This uses radar to map an englacial channel: how do the methods compare? The authors should remember that this is a Cryosphere journal, not a technical development paper, so make every effort to demonstrate how their method compares with others.
I would also recommend looking to other disciplines for validation: for example, Maniatis 2021 reviews the application of IMU sensors for geomorphology (https://onlinelibrary.wiley.com/doi/abs/10.1002/esp.5197). I would also recommend closing the discussion with a sentence on the glaciological implications of the paper. Essentially: we can measure step-pool sequences, so what…?
Detailed comments
Sentence 1 and 2 of the abstract don’t really follow – sentence 1 states glacier hydrology is about the whole system, whereas sentence two states it is purely subglacial pathways. Suggest rephrasing sentence 2. Sentence 3 also needs attention: two ‘pathways’ in same sentence. I think the abstract needs to be upfront about these being englacial measurements, and why those are important for glaciology: at the moment you undersell what is a great technological achievement by trying to frame it as a subglacial experiment when you did not go into the subglacial environment.
L42-49: this paragraph doesn’t quite convince me that this is new and exciting work. To the non-specialist (in this case, most of the readership of the Cryosphere), the follow on work from the last paper sounds incremental. Can you explain what you did and why it was important in more simple terms in this paragraph?
L65: ’65 kg heavy’ doesn’t quite work. Remove the heavy or replace with mass.
L74: suggest clarifying that these are long-lived englacial channels.
Table 1: can you define ‘complete data deployment’ in the legend?
Figure 4 is really helpful. Can you give a reference for iHMM in the legend – it is described in detail in the text, but the figure appears before.
L177: Here you state the geometry of the channel is known (presumably because you can see it), but state the reference is the GNSS drifter. As stated above, this is also a prototype. What I’m wondering is if you just mapped the channel either doing a walkover or aerial imagery to validate your reference? You state later that you attempt to use Planet imagery for the englacial channel – did you try this for the supraglacial channel?
L215-222 is really interesting. I like the comparison with historic data.
L224: the motivation for the paper here is not the same as is sold in the introduction. Hydrological models of glacier dynamics – how do englacial measurements help with that?
You state there are handheld GPS measurements (L432) – it’s not clear how these measurements have been used. Are they plotted?
L271: over what path length? You lost one drifter in a short englacial deployment, so how can you justify that you need three for another deployment? Please be specific on the likely path length for this assessment.
L280: ‘decent’ is not a scientific assessment. Rephrase.
Conclusions reads like the final paragraph of the discussion. It brings in new information (there is little detail about the gravity vector problem in the main body of the results and discussion) and highlights a number of method weakness. In my opinion this should be in the discussion, with the concluding paragraph summarising the paper as a whole.
- AC1: 'Reply on RC2', Andreas Alexander, 03 Apr 2022
Laura Piho et al.
Laura Piho et al.
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