grounding zone mapping in antarctica using radar ... · mdis - october 2019 l. charrier, b....
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Grounding Zone mapping in Antarctica using radar interferometry
L. Charrier1, B. Scheuchl1, J. Mouginot2, S. Jeong1, V. Brancato1,3, E. Rignot1,3
1University of California, Irvine, Irvine USA.
2Institut des Géosciences de l’Environnement, Grenoble, France.
3Jet Propulsion Laboratory, Pasadena, USA
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Ice-sheet melt contributes to sea-level rise (SLR)
2
Probability Distribution functions for a +2°C temperature scenario (blue) and +5°C temperature scenario (red) temperature scenarios for the combined ice sheet SLR contributions at (A) 2100 and (B) 2300. Bamber et al., 2019
=> Still a lot of uncertainties in projecting future SLR
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Grounding line (GL) : a crucial feature
3
To know accurately GL position:
To constrain numerical modelsGrounded ice = basal frictionFloating ice = zero friction
To detect retreat and advances of glaciers
To compute ice-sheet mass balanceIce thickness is much lower downstream of the GL
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
20172016201520142000-20131992-1999
Grounding Line related publicationsBrancato et al. 2019 (in revision)Milillo et al. 2019. Science AdvancesMilillo et al. 2017 GRLScheuchl et al. 2016 GRLLi et al. 2015 GRLRignot et al. 2014 GRLRignot et al. 2011 GRLRignot 1998 J. Glac
Double difference interferometry = current state of the art way
Traditional approach (few available acquisitions): A grounding line
Today (ongoing observations): A grounding zone (short-term grounding line migration)
Sentinel-1: a higher temporal resolution
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
- Provide an update to grounding line position in Antarctica
- What is the range of the short-term variations of the grounding line?
- How to explain these variations?
- What is the long-term variation of grounding line position taking into account these new data?
5
Objectives/Research questions
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Study Area
6
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Grounding line position detection
7
Groundingline
Tidalmotion
Groundingline
Date 1 Date 2
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
InSAR method
8
SAR 𝜙 =4π
𝜆𝑟1 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑 + 𝜙𝑛𝑜𝑖𝑠𝑒 2π
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
InSAR method
9
SAR 𝜙 =4π
𝜆𝑟1 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑 + 𝜙𝑛𝑜𝑖𝑠𝑒 2π
unknown
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
InSAR method
10
SAR 𝜙 =4π
𝜆𝑟1 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑 + 𝜙𝑛𝑜𝑖𝑠𝑒 2π
InSAR ∆𝜙 =4π
𝜆𝑟1 − 𝑟2 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑1
− 𝜙𝑔𝑟𝑜𝑢𝑛𝑑2+ 𝜙𝑛𝑜𝑖𝑠𝑒 1 − 𝜙𝑛𝑜𝑖𝑠𝑒 2 2π
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
InSAR method
11
InSAR ∆𝜙 =4π
𝜆𝑟1 − 𝑟2 + 𝜙𝑛𝑜𝑖𝑠𝑒 1 − 𝜙𝑛𝑜𝑖𝑠𝑒 2 2π
SAR 𝜙 =4π
𝜆𝑟1 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑 + 𝜙𝑛𝑜𝑖𝑠𝑒 2π
∆𝜙 = ∆𝜙 𝑎𝑡𝑚𝑜𝑠𝑝ℎ𝑒𝑟𝑒 + ∆𝜙 𝑖𝑚𝑎𝑔𝑖𝑛𝑔 𝑔𝑒𝑜𝑚𝑒𝑡𝑟𝑦 + ∆𝜙 𝑡𝑜𝑝𝑜𝑔𝑟𝑎𝑝ℎ𝑦 + ∆𝜙 𝑠𝑢𝑟𝑓𝑎𝑐𝑒 𝑑𝑒𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛
∆𝜙 𝑔𝑙𝑎𝑐𝑖𝑒𝑟 𝑓𝑙𝑜𝑤𝑚𝑜𝑡𝑖𝑜𝑛 ∆𝜙 𝑡𝑖𝑑𝑎𝑙 𝑚𝑜𝑡𝑖𝑜𝑛
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
InSAR method
12
∆𝜙 = ∆𝜙 𝑎𝑡𝑚𝑜𝑠𝑝ℎ𝑒𝑟𝑒 + ∆𝜙 𝑖𝑚𝑎𝑔𝑖𝑛𝑔 𝑔𝑒𝑜𝑚𝑒𝑡𝑟𝑦 + ∆𝜙 𝑡𝑜𝑝𝑜𝑔𝑟𝑎𝑝ℎ𝑦 + ∆𝜙 𝑠𝑢𝑟𝑓𝑎𝑐𝑒 𝑑𝑒𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛
∆𝜙 𝑔𝑙𝑎𝑐𝑖𝑒𝑟 𝑓𝑙𝑜𝑤𝑚𝑜𝑡𝑖𝑜𝑛 ∆𝜙 𝑡𝑖𝑑𝑎𝑙 𝑚𝑜𝑡𝑖𝑜𝑛
Neglected Removed
SAR 𝜙 =4π
𝜆𝑟1 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑 + 𝜙𝑛𝑜𝑖𝑠𝑒 2π
InSAR ∆𝜙 =4π
𝜆𝑟1 − 𝑟2 + 𝜙𝑔𝑟𝑜𝑢𝑛𝑑1
− 𝜙𝑔𝑟𝑜𝑢𝑛𝑑2+ 𝜙𝑛𝑜𝑖𝑠𝑒 1 − 𝜙𝑛𝑜𝑖𝑠𝑒 2 2π
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Double difference interferometry
13
Master SAR 1 Slave SAR 1 Master SAR 2 Slave SAR 2
Grounding line
Tidal motion 1Glacier flow
Grounding line Grounding line
Glacier flowTidal motion 2
Grounding line
Interferogram 1Glacier flow
Tidal motion 1
Interferogram 2Glacier flow
Tidal motion 2
Interferogram 1 - Interferogram 2 Tidal motion 1 - Tidal motion 2
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Grounding line: the upstream limit of detection of vertical motion
14
DInSAR image
Landward
Seaward
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Grounding line: the upstream limit of detection of vertical motion
15
DInSAR image
Landward
Seaward
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Grounding Zone Width
16
Lambert
Glacier
Mellor
Glacier
Fisher Glacier
Grounding zone – Track 003 Grounding zone – Track 134
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Influence of the maximum of tidal displacement
17
Vanderford Glacier S
Sentinel-1 2017 (Track099) GL migration along the center flow line of Southern part of Vanderford Glacier compared with the maximum of tide elevationscomputed with tide model CAT2008A (Padman et al,, 2002)
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Influence of the maximum of tide elevation
18
=> Tide cycle may play a role
Vanderford Glacier S
Sentinel-1 2017 (Track099) GL migration along the center flow line of Southern part of Vanderford Glacier compared with the maximum of tide elevations computedwith tide model CAT2008A (Padman et al,, 2002)
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Influence of the bed topography
19
Apfel Glacier
Grounding line migration compared to the bed topography model from Morlighem, 2019 (in review)).
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Comparison with previous years
20
Grounding lines mapped for the first time over 250 km of coast=> Position with GL used by the model was not suitable
II Polo Glacier
Hargreaves Glacier
Publications Ice Shelf
Bed topography model from Morlighem, 2019 (in review)
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Slight advance of grounding lines between 1996 and 2017
21
Advance of 4 km near Lambert GlacierAlong a prograde bed
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Strong retreat of grounding lines between 1996 and 2017
22
Retreat of 20 km near Vanderford GlacierAlong a retrograde bed
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Conclusion
23
Short-term variationsMoving position of the grounding line (variations from 0.4 km to 14.3 km) But not yet implemented in numerical models
Long-term variations• Areas where no grounding lines were mapped before : new information for numerical models• Short-term migration has to be taken into account• Huge retreat in some areas and slight advances in others
To explain short-term variationsParameters involved in grounding line migration:• Bed topography• Tide elevation: The tidal flushing may play a role (further investigations needed)
The tide cycle also may play a role (further investigations needed)Comparison with predicted grounding line migration:the bed should have visco-elastic properties (Sayag et al., 2017)
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Perspective
24
Expansion of the Grounding Zone measurement to the entire coastline of Antarctica
Quantitative evaluation of Grounding Line migration (short and long term) for more glaciers
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Acknowledgement
25
I am very gratfull to Eric Rignot, Bernd Scheuchl, Virginia Brancato, Seongsu Jeong, Jérémie Mouginot and Mathieu Morlighem
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
20172016201520142000-20131992-1999
Thank you for your attention !
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
References
27
Bamber, J. L., Oppenheimer, M., Kopp, R. E., Aspinall, W. P. & Cooke, R. M. Ice sheet contributions to future sea-level rise from structured expert judgment. Proc Natl Acad Sci USA 116, 11195–11200 (2019).
Padman, L., Fricker, H. A., Coleman, R., Howard, S. & Erofeeva, L. A new tide model for the Antarctic ice shelves and
seas. Ann. Glaciol 34, 247–254 (2002).
Sayag, R. & Worster, M. G. Elastic dynamics and tidal migration of grounding lines modify subglacial lubrication and
melting: tidal migration of grounding lines. Geophys. Res. Lett. 40, 5877–5881 (2013).
Thomas, R., Rignot, E., Kanagaratnam, P., Krabill, W. & Casassa, G. Force-perturbation analysis of Pine Island Glacier, Antarctica, suggests cause for recent acceleration. Ann. Glaciol. 39, 133–138 (2004).
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
Implication for the bed stiffness
28
Predicted migration: 𝑎 = ℎ𝑡𝑖𝑑𝑒
𝜌𝑤𝜌𝑖
𝛼− 𝛽1−𝜌𝑤𝜌𝑖
Model for a hard bed: Thomas and Bentley, 1978
=> Visco-elastic properties of the bed
Vanderford Glacier S Vanderford Glacier N Anzac Glacier
Migration for a tide rise of 1 m (m)(Thomas and Bentley, 1978)
-79 -93 -97
Oberved migration landward (m) -4557 -690 -900
Oberved migration seaward (m) 4159 6684 1034
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
29
Figure 11 Localization of tide model computation a) around Publications Ice Shelf b) around Vanderford glacier. The background is a
velocity map produced by Rignot’s group [Mouginot et al., 2019 (in review)]
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L. Charrier, B. Scheuchl, J. Mouginot, S. Jeong, V. Brancato, E. RignotMDIS - October 2019
Introduction Data and Methods Short-term migration Long-term migration Conclusion
30
Figure 7 Comparison between the CSK DInSAR recorded vertical
differential tidal displacements along the main trunk of Pine Glacier,
West Antarctica and the corresponding estimates from the CATS2.01
tidal model at a center location of 73.761629 South and 104.803 West
(Padman et al., 2002).