Eintrag weiter verarbeiten
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland
Gespeichert in:
| Zeitschriftentitel: | The Cryosphere |
|---|---|
| Personen und Körperschaften: | , , |
| In: | The Cryosphere, 15, 2021, 1, S. 407-429 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Riel, Bryan Minchew, Brent Joughin, Ian Riel, Bryan Minchew, Brent Joughin, Ian |
|---|---|
| author |
Riel, Bryan Minchew, Brent Joughin, Ian |
| spellingShingle |
Riel, Bryan Minchew, Brent Joughin, Ian The Cryosphere Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland Earth-Surface Processes Water Science and Technology |
| author_sort |
riel, bryan |
| spelling |
Riel, Bryan Minchew, Brent Joughin, Ian 1994-0424 Copernicus GmbH Earth-Surface Processes Water Science and Technology http://dx.doi.org/10.5194/tc-15-407-2021 <jats:p>Abstract. 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. </jats:p> Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland The Cryosphere |
| doi_str_mv |
10.5194/tc-15-407-2021 |
| facet_avail |
Online Free |
| finc_class_facet |
Geologie und Paläontologie Geographie Technik |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNTE5NC90Yy0xNS00MDctMjAyMQ |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNTE5NC90Yy0xNS00MDctMjAyMQ |
| institution |
DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-D161 DE-Zwi2 DE-Gla1 DE-Zi4 DE-15 |
| imprint |
Copernicus GmbH, 2021 |
| imprint_str_mv |
Copernicus GmbH, 2021 |
| issn |
1994-0424 |
| issn_str_mv |
1994-0424 |
| language |
English |
| mega_collection |
Copernicus GmbH (CrossRef) |
| match_str |
riel2021observingtravelingwavesinglacierswithremotesensingnewflexibletimeseriesmethodsandapplicationtosermeqkujalleqjakobshavnisbraegreenland |
| publishDateSort |
2021 |
| publisher |
Copernicus GmbH |
| recordtype |
ai |
| record_format |
ai |
| series |
The Cryosphere |
| source_id |
49 |
| title |
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
| title_unstemmed |
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_short |
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 |
| topic |
Earth-Surface Processes Water Science and Technology |
| url |
http://dx.doi.org/10.5194/tc-15-407-2021 |
| publishDate |
2021 |
| physical |
407-429 |
| description |
<jats:p>Abstract. 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.
</jats:p> |
| container_issue |
1 |
| container_start_page |
407 |
| container_title |
The Cryosphere |
| container_volume |
15 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792347421992288264 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T17:55:01.884Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Observing+traveling+waves+in+glaciers+with+remote+sensing%3A++new+flexible+time+series+methods+and+application+to++Sermeq+Kujalleq+%28Jakobshavn+Isbr%C3%A6%29%2C+Greenland&rft.date=2021-01-28&genre=article&issn=1994-0424&volume=15&issue=1&spage=407&epage=429&pages=407-429&jtitle=The+Cryosphere&atitle=Observing+traveling+waves+in+glaciers+with+remote+sensing%3A++new+flexible+time+series+methods+and+application+to++Sermeq+Kujalleq+%28Jakobshavn+Isbr%C3%A6%29%2C+Greenland&aulast=Joughin&aufirst=Ian&rft_id=info%3Adoi%2F10.5194%2Ftc-15-407-2021&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792347421992288264 |
| author | Riel, Bryan, Minchew, Brent, Joughin, Ian |
| author_facet | Riel, Bryan, Minchew, Brent, Joughin, Ian, Riel, Bryan, Minchew, Brent, Joughin, Ian |
| author_sort | riel, bryan |
| container_issue | 1 |
| container_start_page | 407 |
| container_title | The Cryosphere |
| container_volume | 15 |
| description | <jats:p>Abstract. 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. </jats:p> |
| doi_str_mv | 10.5194/tc-15-407-2021 |
| facet_avail | Online, Free |
| finc_class_facet | Geologie und Paläontologie, Geographie, Technik |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNTE5NC90Yy0xNS00MDctMjAyMQ |
| imprint | Copernicus GmbH, 2021 |
| imprint_str_mv | Copernicus GmbH, 2021 |
| institution | DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Zwi2, DE-Gla1, DE-Zi4, DE-15 |
| issn | 1994-0424 |
| issn_str_mv | 1994-0424 |
| language | English |
| last_indexed | 2024-03-01T17:55:01.884Z |
| match_str | riel2021observingtravelingwavesinglacierswithremotesensingnewflexibletimeseriesmethodsandapplicationtosermeqkujalleqjakobshavnisbraegreenland |
| mega_collection | Copernicus GmbH (CrossRef) |
| physical | 407-429 |
| publishDate | 2021 |
| publishDateSort | 2021 |
| publisher | Copernicus GmbH |
| record_format | ai |
| recordtype | ai |
| series | The Cryosphere |
| source_id | 49 |
| spelling | Riel, Bryan Minchew, Brent Joughin, Ian 1994-0424 Copernicus GmbH Earth-Surface Processes Water Science and Technology http://dx.doi.org/10.5194/tc-15-407-2021 <jats:p>Abstract. 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. </jats:p> Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland The Cryosphere |
| spellingShingle | Riel, Bryan, Minchew, Brent, Joughin, Ian, The Cryosphere, Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland, Earth-Surface Processes, Water Science and Technology |
| title | 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_short | 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 |
| title_unstemmed | Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland |
| topic | Earth-Surface Processes, Water Science and Technology |
| url | http://dx.doi.org/10.5194/tc-15-407-2021 |