Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales
We describe several new ice velocity maps produced by the Greenland Ice Mapping Project (GIMP) using Landsat 8 and Copernicus Sentinel 1A/B data. We then focus on several sites where we analyse these data in conjunction with earlier data from this project, which extend back to the year 2000. At Jako...
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ftpubmed:oai:pubmedcentral.nih.gov:6469699 2023-05-15T16:27:21+02:00 Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales Joughin, Ian Smith, Ben E. Howat, Ian 2018-07-11 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469699/ https://doi.org/10.5194/tc-12-2211-2018 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469699/ http://dx.doi.org/10.5194/tc-12-2211-2018 Article Text 2018 ftpubmed https://doi.org/10.5194/tc-12-2211-2018 2019-04-21T00:39:43Z We describe several new ice velocity maps produced by the Greenland Ice Mapping Project (GIMP) using Landsat 8 and Copernicus Sentinel 1A/B data. We then focus on several sites where we analyse these data in conjunction with earlier data from this project, which extend back to the year 2000. At Jakobshavn Isbrae and Koge Bugt, we find good agreement when comparing results from different sensors. In a change from recent behaviour, Jakobshavn Isbrae began slowing substantially in 2017, with a mid-summer peak that was even slower than some previous winter minimums. Over the last decade, we identify two major slowdown events at Koge Bugt that coincide with short-term advances of the terminus. We also examined populations of glaciers in northwest and southwest Greenland to produce a record of speedup since 2000. Collectively these glaciers continue to speed up, but there are regional differences in the timing of periods of peak speedup. In addition, we computed trends in winter flow speed for much of the southwest margin of the ice sheet and find little in the way of statistically significant change over the period covered by our data. Finally, although consistency of the data generally is good through time and across sensors, our analysis indicates substantial differences can arise in regions with high strain rates (e.g., shear margins) where sensor resolution can become a factor. For applications such as constraining model inversions, users should factor in the impact that the data’s resolution has on their results. Text Greenland Ice Sheet Jakobshavn PubMed Central (PMC) Greenland The Cryosphere 12 7 2211 2227 |
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Article Joughin, Ian Smith, Ben E. Howat, Ian Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales |
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Article |
description |
We describe several new ice velocity maps produced by the Greenland Ice Mapping Project (GIMP) using Landsat 8 and Copernicus Sentinel 1A/B data. We then focus on several sites where we analyse these data in conjunction with earlier data from this project, which extend back to the year 2000. At Jakobshavn Isbrae and Koge Bugt, we find good agreement when comparing results from different sensors. In a change from recent behaviour, Jakobshavn Isbrae began slowing substantially in 2017, with a mid-summer peak that was even slower than some previous winter minimums. Over the last decade, we identify two major slowdown events at Koge Bugt that coincide with short-term advances of the terminus. We also examined populations of glaciers in northwest and southwest Greenland to produce a record of speedup since 2000. Collectively these glaciers continue to speed up, but there are regional differences in the timing of periods of peak speedup. In addition, we computed trends in winter flow speed for much of the southwest margin of the ice sheet and find little in the way of statistically significant change over the period covered by our data. Finally, although consistency of the data generally is good through time and across sensors, our analysis indicates substantial differences can arise in regions with high strain rates (e.g., shear margins) where sensor resolution can become a factor. For applications such as constraining model inversions, users should factor in the impact that the data’s resolution has on their results. |
format |
Text |
author |
Joughin, Ian Smith, Ben E. Howat, Ian |
author_facet |
Joughin, Ian Smith, Ben E. Howat, Ian |
author_sort |
Joughin, Ian |
title |
Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales |
title_short |
Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales |
title_full |
Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales |
title_fullStr |
Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales |
title_full_unstemmed |
Greenland Ice Mapping Project: Ice Flow Velocity Variation at sub-monthly to decadal time scales |
title_sort |
greenland ice mapping project: ice flow velocity variation at sub-monthly to decadal time scales |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469699/ https://doi.org/10.5194/tc-12-2211-2018 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet Jakobshavn |
genre_facet |
Greenland Ice Sheet Jakobshavn |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469699/ http://dx.doi.org/10.5194/tc-12-2211-2018 |
op_doi |
https://doi.org/10.5194/tc-12-2211-2018 |
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The Cryosphere |
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12 |
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7 |
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2211 |
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2227 |
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