Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat
Although the Greenland ice sheet is losing mass as a whole, patterns of change on both local and regional scales are complex. Spatial statistics reveal large spatial variability of dynamic thinning rates of Greenland’s marine-terminating glaciers between 2003 and 2009; only 18% of glacier thinning r...
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ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/d8-4rwm-yh75 2023-05-15T16:21:11+02:00 Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat Porter, David F. Tinto, Kirsteen J. Boghosian, Alexandra Czatho, Beata Bell, Robin E. Cochran, James R. 2018 https://doi.org/10.7916/d8-4rwm-yh75 English eng https://doi.org/10.7916/d8-4rwm-yh75 Geophysics Marine geophysics Glaciology Glaciers--Measurement Ocean temperature Articles 2018 ftcolumbiauniv https://doi.org/10.7916/d8-4rwm-yh75 2019-07-06T22:19:53Z Although the Greenland ice sheet is losing mass as a whole, patterns of change on both local and regional scales are complex. Spatial statistics reveal large spatial variability of dynamic thinning rates of Greenland’s marine-terminating glaciers between 2003 and 2009; only 18% of glacier thinning rates co-vary with neighboring glaciers. Most spatially-correlated thinning rates are clusters of stable glaciers in the Thule, Scoresby Sund, and Southwest regions. Conversely, where spatial-autocorrelation is low, individual glaciers are more strongly controlled by local, glacier-scale features than by regional influences. We investigate possible sources of local control of oceanic forcing by combining grounding line depths and ocean model output to estimate mean ocean heat content adjacent to 74 glaciers. Linear regression models indicate stronger correlation of dynamic thinning rates with ocean heat content compared to those with grounding line depths alone. The correlation between ocean heat and dynamic thinning is robust for all of Greenland except glaciers in the West, and strongest in the Southeast (R2 ∼ 0.81 ± 0.15, ρ = 0.009), implying that glaciers with deeper grounded termini here are most sensitive to changes in ocean forcing. In the Northwest, accounting for shallow sills in the regressions improves the correlation of water depth with glacial thinning, highlighting the need for comprehensive knowledge of fjord geometry. Article in Journal/Newspaper glacier Greenland Ice Sheet Scoresby Sund Thule Columbia University: Academic Commons Greenland Sund ENVELOPE(13.644,13.644,66.207,66.207) Scoresby ENVELOPE(162.750,162.750,-66.567,-66.567) Scoresby Sund ENVELOPE(-24.387,-24.387,70.476,70.476) |
institution |
Open Polar |
collection |
Columbia University: Academic Commons |
op_collection_id |
ftcolumbiauniv |
language |
English |
topic |
Geophysics Marine geophysics Glaciology Glaciers--Measurement Ocean temperature |
spellingShingle |
Geophysics Marine geophysics Glaciology Glaciers--Measurement Ocean temperature Porter, David F. Tinto, Kirsteen J. Boghosian, Alexandra Czatho, Beata Bell, Robin E. Cochran, James R. Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat |
topic_facet |
Geophysics Marine geophysics Glaciology Glaciers--Measurement Ocean temperature |
description |
Although the Greenland ice sheet is losing mass as a whole, patterns of change on both local and regional scales are complex. Spatial statistics reveal large spatial variability of dynamic thinning rates of Greenland’s marine-terminating glaciers between 2003 and 2009; only 18% of glacier thinning rates co-vary with neighboring glaciers. Most spatially-correlated thinning rates are clusters of stable glaciers in the Thule, Scoresby Sund, and Southwest regions. Conversely, where spatial-autocorrelation is low, individual glaciers are more strongly controlled by local, glacier-scale features than by regional influences. We investigate possible sources of local control of oceanic forcing by combining grounding line depths and ocean model output to estimate mean ocean heat content adjacent to 74 glaciers. Linear regression models indicate stronger correlation of dynamic thinning rates with ocean heat content compared to those with grounding line depths alone. The correlation between ocean heat and dynamic thinning is robust for all of Greenland except glaciers in the West, and strongest in the Southeast (R2 ∼ 0.81 ± 0.15, ρ = 0.009), implying that glaciers with deeper grounded termini here are most sensitive to changes in ocean forcing. In the Northwest, accounting for shallow sills in the regressions improves the correlation of water depth with glacial thinning, highlighting the need for comprehensive knowledge of fjord geometry. |
format |
Article in Journal/Newspaper |
author |
Porter, David F. Tinto, Kirsteen J. Boghosian, Alexandra Czatho, Beata Bell, Robin E. Cochran, James R. |
author_facet |
Porter, David F. Tinto, Kirsteen J. Boghosian, Alexandra Czatho, Beata Bell, Robin E. Cochran, James R. |
author_sort |
Porter, David F. |
title |
Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat |
title_short |
Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat |
title_full |
Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat |
title_fullStr |
Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat |
title_full_unstemmed |
Identifying Spatial Variability in Greenland’s Outlet Glacier Response to Ocean Heat |
title_sort |
identifying spatial variability in greenland’s outlet glacier response to ocean heat |
publishDate |
2018 |
url |
https://doi.org/10.7916/d8-4rwm-yh75 |
long_lat |
ENVELOPE(13.644,13.644,66.207,66.207) ENVELOPE(162.750,162.750,-66.567,-66.567) ENVELOPE(-24.387,-24.387,70.476,70.476) |
geographic |
Greenland Sund Scoresby Scoresby Sund |
geographic_facet |
Greenland Sund Scoresby Scoresby Sund |
genre |
glacier Greenland Ice Sheet Scoresby Sund Thule |
genre_facet |
glacier Greenland Ice Sheet Scoresby Sund Thule |
op_relation |
https://doi.org/10.7916/d8-4rwm-yh75 |
op_doi |
https://doi.org/10.7916/d8-4rwm-yh75 |
_version_ |
1766009205453488128 |