Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland
The recent influx of remote sensing data provides new opportunities for quantifying spatiotemporal variations in glacier surface velocity and elevation fields. Here, we introduce a flexible time series reconstruction and decomposition technique for forming continuous, time-dependent surface velocity...
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Copernicus Publications
2021
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fttriple:oai:gotriple.eu:oai:doaj.org/article:ef79569e7c1e4b8898500b5f07ef0e59 2023-05-15T16:21:08+02:00 Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland B. Riel B. Minchew I. Joughin 2021-01-01 https://doi.org/10.5194/tc-15-407-2021 https://tc.copernicus.org/articles/15/407/2021/tc-15-407-2021.pdf https://doaj.org/article/ef79569e7c1e4b8898500b5f07ef0e59 en eng Copernicus Publications doi:10.5194/tc-15-407-2021 1994-0416 1994-0424 https://tc.copernicus.org/articles/15/407/2021/tc-15-407-2021.pdf https://doaj.org/article/ef79569e7c1e4b8898500b5f07ef0e59 undefined The Cryosphere, Vol 15, Pp 407-429 (2021) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.5194/tc-15-407-2021 2023-01-22T19:12:40Z The recent influx of remote sensing data provides new opportunities for quantifying spatiotemporal variations in glacier surface velocity and elevation fields. Here, we introduce a flexible time series reconstruction and decomposition technique for forming continuous, time-dependent surface velocity and elevation fields from discontinuous data and partitioning these time series into short- and long-term variations. The time series reconstruction consists of a sparsity-regularized least-squares regression for modeling time series as a linear combination of generic basis functions of multiple temporal scales, allowing us to capture complex variations in the data using simple functions. We apply this method to the multitemporal evolution of Sermeq Kujalleq (Jakobshavn Isbræ), Greenland. Using 555 ice velocity maps generated by the Greenland Ice Mapping Project and covering the period 2009–2019, we show that the amplification in seasonal velocity variations in 2012–2016 was coincident with a longer-term speedup initiating in 2012. Similarly, the reduction in post-2017 seasonal velocity variations was coincident with a longer-term slowdown initiating around 2017. To understand how these perturbations propagate through the glacier, we introduce an approach for quantifying the spatially varying and frequency-dependent phase velocities and attenuation length scales of the resulting traveling waves. We hypothesize that these traveling waves are predominantly kinematic waves based on their long periods, coincident changes in surface velocity and elevation, and connection with variations in the terminus position. This ability to quantify wave propagation enables an entirely new framework for studying glacier dynamics using remote sensing data. Article in Journal/Newspaper glacier Greenland Jakobshavn Jakobshavn isbræ Kujalleq Sermeq Kujalleq The Cryosphere Unknown Greenland Jakobshavn Isbræ ENVELOPE(-49.917,-49.917,69.167,69.167) Kujalleq ENVELOPE(-46.037,-46.037,60.719,60.719) The Cryosphere 15 1 407 429 |
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Open Polar |
collection |
Unknown |
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fttriple |
language |
English |
topic |
geo envir |
spellingShingle |
geo envir B. Riel B. Minchew I. Joughin Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
topic_facet |
geo envir |
description |
The recent influx of remote sensing data provides new opportunities for quantifying spatiotemporal variations in glacier surface velocity and elevation fields. Here, we introduce a flexible time series reconstruction and decomposition technique for forming continuous, time-dependent surface velocity and elevation fields from discontinuous data and partitioning these time series into short- and long-term variations. The time series reconstruction consists of a sparsity-regularized least-squares regression for modeling time series as a linear combination of generic basis functions of multiple temporal scales, allowing us to capture complex variations in the data using simple functions. We apply this method to the multitemporal evolution of Sermeq Kujalleq (Jakobshavn Isbræ), Greenland. Using 555 ice velocity maps generated by the Greenland Ice Mapping Project and covering the period 2009–2019, we show that the amplification in seasonal velocity variations in 2012–2016 was coincident with a longer-term speedup initiating in 2012. Similarly, the reduction in post-2017 seasonal velocity variations was coincident with a longer-term slowdown initiating around 2017. To understand how these perturbations propagate through the glacier, we introduce an approach for quantifying the spatially varying and frequency-dependent phase velocities and attenuation length scales of the resulting traveling waves. We hypothesize that these traveling waves are predominantly kinematic waves based on their long periods, coincident changes in surface velocity and elevation, and connection with variations in the terminus position. This ability to quantify wave propagation enables an entirely new framework for studying glacier dynamics using remote sensing data. |
format |
Article in Journal/Newspaper |
author |
B. Riel B. Minchew I. Joughin |
author_facet |
B. Riel B. Minchew I. Joughin |
author_sort |
B. Riel |
title |
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
title_short |
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
title_full |
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
title_fullStr |
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
title_full_unstemmed |
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
title_sort |
observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to sermeq kujalleq (jakobshavn isbræ), greenland |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-407-2021 https://tc.copernicus.org/articles/15/407/2021/tc-15-407-2021.pdf https://doaj.org/article/ef79569e7c1e4b8898500b5f07ef0e59 |
long_lat |
ENVELOPE(-49.917,-49.917,69.167,69.167) ENVELOPE(-46.037,-46.037,60.719,60.719) |
geographic |
Greenland Jakobshavn Isbræ Kujalleq |
geographic_facet |
Greenland Jakobshavn Isbræ Kujalleq |
genre |
glacier Greenland Jakobshavn Jakobshavn isbræ Kujalleq Sermeq Kujalleq The Cryosphere |
genre_facet |
glacier Greenland Jakobshavn Jakobshavn isbræ Kujalleq Sermeq Kujalleq The Cryosphere |
op_source |
The Cryosphere, Vol 15, Pp 407-429 (2021) |
op_relation |
doi:10.5194/tc-15-407-2021 1994-0416 1994-0424 https://tc.copernicus.org/articles/15/407/2021/tc-15-407-2021.pdf https://doaj.org/article/ef79569e7c1e4b8898500b5f07ef0e59 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-15-407-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
1 |
container_start_page |
407 |
op_container_end_page |
429 |
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1766009145706676224 |