The propagation of a surge front on Bering Glacier, Alaska, 2001–2011

Turrin, J. B.; Forster, R. R.; Larsen, C. F.; Sauber, Jeanne

doi:10.3189/2013aog63a341

Cited by 20 publications

(27 citation statements)

References 35 publications

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“…6.3.2. Bering Glacier The Bering Glacier system is dominated by repeated surges, and thus, a constant rate or general acceleration is not adequate for describing the recent ice load history (e.g., Turrin et al, 2013). Because of the strongly time-dependent mass changes for this system, describing the resulting deformation in terms of a velocity rather than a nonlinear time series is only a simple approximation.…”

Section: Implications For Gia Across All Of Southern Alaskamentioning

confidence: 99%

Geodetic Observations of Time‐Variable Glacial Isostatic Adjustment in Southeast Alaska and Its Implications for Earth Rheology

Freymueller

2019

JGR Solid Earth

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Global Positioning System observations in Southeast Alaska show evidence for interannual variations in uplift rates, which are consistent with an acceleration of mass loss rates across the region from the 1990s to 2012. We constructed an updated regional loading model based on updated twentieth century average deglaciation estimates. This model features a larger mass loss rate overall than the model used in previous studies. We adopted a viscosity model with an upper and lower mantle viscosity from VM5a but with a low viscosity asthenosphere as in previous regional studies. We varied the asthenospheric thickness, asthenospheric viscosity, and lithospheric thickness to find the Earth model that best fits the data, which has a lithospheric thickness of 55 km and an asthenosphere with thickness 230 km and viscosity 3 × 1019 Pa s. There is a strong tradeoff between the asthenosphere thickness and viscosity, and different estimates or assumptions about the asthenospheric thickness is one of the main causes of the varying viscosity estimates of previous studies. We find a higher viscosity than previous studies in part because we find that a thicker asthenosphere fits the data better than a thinner one and also because the higher twentieth century mass loss rate compared to earlier studies requires a higher viscosity to predict the same uplift rates. Vertical velocities predicted by the model drop rapidly with distance from the ice masses, while horizontal velocities are smaller but extend for a longer distance.

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Section: Implications For Gia Across All Of Southern Alaskamentioning

confidence: 99%

Geodetic Observations of Time‐Variable Glacial Isostatic Adjustment in Southeast Alaska and Its Implications for Earth Rheology

Freymueller

2019

JGR Solid Earth

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“…Glacier velocity monitoring through satellite remote sensing has proven to be a useful tool to observe velocity change on a basin scale. Several studies have focused on dynamics of individual glaciers in Alaska at an annual or seasonal resolution (Fatland and Lingle, 2002;Burgess et al, 2012;Turrin et al, 2013;Abe and Furuya, 2015;Abe et al, 2016). Such studies can give a better understanding of the specific characteristics of a glacier and which circumstances are of importance for this behavior and response.…”

Section: Introductionmentioning

confidence: 99%

Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data

et al. 2019

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Abstract. The measurement of glacier velocity fields using repeat satellite imagery has become a standard method of cryospheric research. However, the reliable discovery of important glacier velocity variations on a large scale is still problematic because time series span different time intervals and are partly populated with erroneous velocity estimates. In this study we build upon existing glacier velocity products from the GoLIVE dataset (https://nsidc.org/data/golive, last access: 26 February 2019) and compile a multi-temporal stack of velocity data over the Saint Elias Mountains and vicinity. Each layer has a time separation of 32 days, making it possible to observe details such as within-season velocity change over an area of roughly 150 000 km2. Our methodology is robust as it is based upon a fuzzy voting scheme applied in a discrete parameter space and thus is able to filter multiple outliers. The multi-temporal data stack is then smoothed to facilitate interpretation. This results in a spatiotemporal dataset in which one can identify short-term glacier dynamics on a regional scale. The goal is not to improve accuracy or precision but to enhance extraction of the timing and location of ice flow events such as glacier surges. Our implementation is fully automatic and the approach is independent of geographical area or satellite system used. We demonstrate this automatic method on a large glacier area in Alaska and Canada. Within the Saint Elias and Kluane mountain ranges, several surges and their propagation characteristics are identified and tracked through time, as well as more complicated dynamics in the Wrangell Mountains.

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“…Therefore, in order to get rid of this dependency and fulfill the isotropy property, the spatial and temporal dimensions are scaled. For this scaling estimation we construct an experimental variogram and look at its distribution (Wackernagel, 2013). Along the spatial axis, the variogram in Figure 5a shows spatial correlation up to about 10 kilometers.…”

Section: Smoothingmentioning

confidence: 99%

“…Glacier velocity monitoring through satellite remote sensing has proven to be a useful tool to observe velocity change on a basin scale. Several studies have focused on dynamics of individual glaciers in Alaska, at an annual or seasonal resolution (Fatland and Lingle, 2002;Burgess et al, 2012;Turrin et al, 2013;Abe and Furuya, 2015;Abe et al, 2016). Such studies can give a better understanding of the specific characteristics of a glacier, and which circumstances are of importance for this behaviour and response.…”

mentioning

confidence: 99%

Extracting recent short-term glacier velocity evolution over Southern Alaska from a large collection of Landsat data

Altena

Scambos

Fahnestock

et al. 2018

Preprint

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The measurement of glacier velocity fields using repeat satellite imagery has become a standard method of cryospheric research. However, the reliable discovery of important glacier velocity variations on a large scale is still problematic, because time-series span different time intervals and are partly populated with erroneous velocity estimates. In this study we build upon existing glacier velocity products from the GoLIVE data set (https://nsidc.org/data/golive) and compile a multi-temporal stack of velocity data over the Saint Elias Mountain range and vicinity. Each layer has a time separation of 32 days, making 5 it possible to observe details such as within-season velocity change over an area of roughly 150 000 km 2 . Our methodology is robust as it is based upon a fuzzy voting scheme applied in a discrete parameter space. In this way it is able to filter multiple outliers. The multi-temporal data stack is then smoothed to facilitate interpretation. This results in a spatio-temporal dataset where one can identify short-term glacier dynamics on a regional scale. The goal is not to improve accuracy or precision, but being able to extract the timing and location of ice flow events such as glacier surges. Our implementation is fully automatic 10 and the approach is independent of geographical area or satellite system used. We demonstrate this automatic method on a large glacier area in Alaska/Canada. Within the Saint Elias and Kluane mountain ranges, several surges and their propagation characteristics are identified and tracked through time, as well as more complicated dynamics in the Wrangell's mountains.Copyright statement. TEXT

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The propagation of a surge front on Bering Glacier, Alaska, 2001–2011

Cited by 20 publications

References 35 publications

Geodetic Observations of Time‐Variable Glacial Isostatic Adjustment in Southeast Alaska and Its Implications for Earth Rheology

Geodetic Observations of Time‐Variable Glacial Isostatic Adjustment in Southeast Alaska and Its Implications for Earth Rheology

Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data

Extracting recent short-term glacier velocity evolution over Southern Alaska from a large collection of Landsat data

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