Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6577-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Estimation of annual runoff using supraglacial channel geometry derived from UAV surveys of Qiyi Glacier, northern Tibetan Plateau
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- Final revised paper (published on 05 Dec 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 18 Jul 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2025-2940', Rob Storrar, 04 Aug 2025
- AC1: 'Reply on RC1', Longjiang Xie, 10 Sep 2025
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RC2: 'Comment on egusphere-2025-2940', Anonymous Referee #2, 15 Aug 2025
- AC2: 'Reply on RC2', Longjiang Xie, 10 Sep 2025
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AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to minor revisions (review by editor) (12 Sep 2025) by Elizabeth Bagshaw
AR by Longjiang Xie on behalf of the Authors (18 Sep 2025)
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ED: Publish subject to minor revisions (review by editor) (20 Oct 2025) by Elizabeth Bagshaw
AR by Longjiang Xie on behalf of the Authors (27 Oct 2025)
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ED: Publish as is (10 Nov 2025) by Elizabeth Bagshaw
AR by Longjiang Xie on behalf of the Authors (12 Nov 2025)
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This paper presents the results of a detailed UAV survey of Qiyi glacier, with the intention of taking morphometric measurements of supraglacial channels that can, in turn, be used to estimate runoff. The analysis reveals relationships between sinuosity and lateral deviation (similar metrics), gradient and discharge. This relationship is promising as a means of deriving runoff information from parameters that are measurable by high-resolution satellite remote sensing. Other parameters (height/width) also showed strong(er) relationships, though these are dependent on UAV data and so less widely applicable to satellite remote sensing methods.
This is a neatly conceptualized and well-executed study and the manuscript is well-written. The model has the potential to be very useful for estimating runoff across many glaciers, subject to some caveats. The data and methods appear sound, although some of the morphometric data requires more explanation. The discussion should explain more about exactly how applicable this method is to other glaciers, since I think this is over-stated a bit in the text. I expand on these points below, but otherwise I think this paper is a very useful contribution and I enjoyed reading it.
More information is needed on how exactly some of the morphometric data were calculated. Channel height and width is not straightforward to measure due to the topographic complexity of glacier surfaces, and so it is important that a consistent method is used to represent this (which I am guessing is what was done). How were the points h1 and h2 derived? This has a very significant implication for the measurement of both height and width. Please add some explanation of this to the methods section (2.3).
Since the premise of this study is that supraglacial channel morphometry may be a better way of estimating runoff than existing modelling techniques, it would be good to see some comparison of the data generated here with modelled runoff data. This is hinted at in the conclusions (line 365). I don’t know how feasible this is, but if possible would be a useful addition.
The discussion of applicability (section 4.4) should be extended to discuss further exactly how typical this glacier is, and other types of glacier to which this model probably does not apply besides tidewater glaciers. For example, temperate glaciers, glaciers with strong surface structures (e.g. crevasses) and debris-covered glaciers, all of which will be very common, are likely too complex to be represented by this model. This section should also note that to derive similar relationships for other glaciers requires mass balance data at the very least (because the scaling relationships are likely different for each glacier), so unless I am mistaken it can’t be applied using remote sensing alone.
I suggest rewording the title to make it clearer to something like: “Estimation of annual runoff using supraglacial channel geometry derived from UAV surveys of Qiyi Glacier, northern Tibetan Plateau”
Minor comments:
Line 14-15: Re-order words (novel remote sensing method)
Line 15: Not sure what is meant by ‘discharge volume’? I think you just mean discharge here?
Lines 24-25: I don’t understand the point here. We don’t have centimetre-resolution satellite imagery?
Line 59: Suggest ‘uncrewed’ instead of ‘unmanned’ to remove gender bias.
Lines 68-71: Are these findings published? If so, please provide a reference.
Line 72: Discharge?
Line 129: I assume from the equation that mass balance is expressed with negative values indicating mass loss specifically? It would be good to clarify this in the text below the equation (as well as stating the units).
Line 155: Pre-existing ice structure (e.g. fractures) also exerts a strong influence on channel morphology (e.g. Rippin et al. 2015: https://onlinelibrary.wiley.com/doi/full/10.1002/esp.3719?casa_token=5KxM3AvAxIYAAAAA%3AAODpVkdle62Mntm4D44VdOLPP_C7as8R1utImLL7u3vRhY6XGGyBfY0zhIDLpP5UlRx0olELoZHKRCU)
Line 185: Median and mean?
Line 292: ‘especially for mountain glaciers’ needs to be in a separate sentence because it is not what Smith said.
Line 296-7: Change glaciers to glacier (it has only been done at one!).
Line 308-9: Yes, sinuosity and lateral deviation could be determined from high-resolution satellite imagery, but you also need gradient, which can be taken from DEMs, which will be at significantly lower resolution where no UAV data are available. That is not to say that it is not useable, but perhaps worth stating.