Unravelling the long-term, locally-heterogenous response of Greenland glaciers observed in archival photography
- 1Department of Environment and Geography, University of York, York, UK
- 2Department of Computer Science, University of York, York, UK
- 3Scott Polar Research Institute, University of Cambridge, Cambridge, UK
- 1Department of Environment and Geography, University of York, York, UK
- 2Department of Computer Science, University of York, York, UK
- 3Scott Polar Research Institute, University of Cambridge, Cambridge, UK
Abstract. We present an approach for extracting quantifiable information from archival aerial photographs to extend the temporal record of change over a region of the central eastern Greenland Ice Sheet. The photographs we use were gathered in the 1930s as part of a surveying expedition, and so they were not acquired with photogrametric analysis in mind. Nevertheless, we are able to make opportunistic use of this imagery, as well as additional, novel data-sets, to explore changes at ice margins well before the advent of conventional satellite technology. The insights that a longer record of ice margin change bring is crucial for improving our understanding of how glaciers are responding to the changing climate. In addition, our work focuses on a series of relatively small and little studied outlet glaciers from the eastern margin of the Ice Sheet. We show that whilst air and sea surface temperatures are important controls on the rates at which these ice masses change, there is also significant heterogeneity in their responses, with non-climatic controls (such as the role of bathymetry in front of calving margins) being extremely important. In general, there is often a tendency to focus either on changes of the Greenland Ice Sheet as a whole, or to focus on regional variations. Here, we suggest that even this approach masks important variability, and full understanding of the behaviour and response of the Ice Sheet requires us to consider changes that are taking place at the scale of individual outlet glaciers.
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Michael Cooper et al.
Status: final response (author comments only)
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RC1: 'Comment on tc-2021-256', Anonymous Referee #1, 29 Oct 2021
- AC1: 'Reply on RC1', David Rippin, 07 Jan 2022
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RC2: 'Comment on tc-2021-256', Anonymous Referee #2, 26 Nov 2021
The authors are presenting a novel record of historical glacier retreat from a little studied region of Greenland. By exploring archival images, ortho-mosaics are created from aerial and satellite images, from which frontal positions of ice sheet outlets are digitized and length changes measured.
This work is an important scientific contribution to our understanding of the glaciology in the region, and represents a good example of the importance of maintaining and utilizing historical image sources. Importantly, the authors are studying smaller glaciers from the ice sheet and local glaciers, from which there are very few studies. The authors are able to demonstrate a heterogeneity in the glacial behavior during almost a century. This is an important observation, that can be the starting point for further understanding of this particular region.
The effort that goes into producing this type of data is huge, and the results deserve to be published.
I have a list of general questions and comments regarding the current state of the manuscript that I would like to see resolved before publication:
- It is unclear to me why first a orthomosaic is created after which it is georeferenced to a DEM. This seems like an inaccurate approach. It would result in a more accurate result if GCPs were introduced earlier in the flow, during SfM-processing. Perhaps I am misunderstanding your workflow… Under all circumstances, then I would like to see a work-flow diagram, to be sure that I have understood to process chain correctly.
- Since you are not producing a DEM, then why are you not using an image source as master for the GCPs? It seems like an inaccurate approach for rectification of an image.
- Why are you producing a 1985 ortho with with GCPs from ArcticDEM, when an ortho already exists with GCPs from in-situ measured points? You are also referenceing the correct paper, Korsgaard et al. 2016, from which the ortho and DEM was published. You mention 58 images used in the text but only 30 in the table. You also mention GCPs from SDFE associated with the images - are these the ones you have used?
- There is no information provided on how you reach the 2D and 3D errors in table1. From the way I understand your processing, I don’t see how you can have a 3D error, when you state that: “For geolocalisation of the orthomosaic….. the ArcticDEM model was used. If you have a georeferenced 3D product (DEM) than it would be very nice to see it included in the manuscript.
- I would like some more information on the SMB model and specifically the area of the model the results that you are showing here represents. Since it is shown as a point/line graph does it represent the combined glacier area studied or a point in the region? Would be interesting to see the SMB plotted on a map.
- It appears that very few of the glaciers studied have data from the 1930s. Table 2 shows only 7, while fig 3 shows 18. How come have you chosen not to focus only on the glaciers that have the long record. I agree that adding more glaciers gives the dataset more value, but I am missing a justification and most importantly some criteria for your selection of additional glaciers.
- Fig 6 is great – would it be possible to combine it with fig 7, 8, and 9, for a better overview?
- It would be nice to see on a map from where the temperature is coming – both air and SST. There is no information provided from which grid cell you have extracted the SST. I am not sure what is meant by mean annual maximum and minimum temperatures – can you please explain?
- Several places in the text is mentioned mass loss, you are not providing data to support these statements, and can with what presented only describe retreat.
- In your conclusion you write that there is been a temptation to differentiate between region. I suggest you reword this. Subdivision into regions makes perfectly sense, as climate, ocean currents, landscape and geology varies on a regional scale. While there may be variations within the regions, there are plentiful patterns that warrant these subdivisions.
- AC2: 'Reply on RC2', David Rippin, 07 Jan 2022
Michael Cooper et al.
Michael Cooper et al.
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