Using GNSS to derive new information about Greenland and the Greenland Ice Sheet
The Arctic is currently the region most susceptible to global climate change, experiencing the highest relative temperature rise. Furthermore, the possibility of rapid melt of the Greenland Ice Sheet (GrIS) is ranked among the most serious climate threats to our societies, with its potential contrib...
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Technical University of Denmark
2022
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ftdtupubl:oai:pure.atira.dk:publications/02159bdd-b927-4340-ab9c-a659b0361a1c 2023-12-24T10:14:45+01:00 Using GNSS to derive new information about Greenland and the Greenland Ice Sheet Hansen, Karina 2022 application/pdf https://orbit.dtu.dk/en/publications/02159bdd-b927-4340-ab9c-a659b0361a1c https://backend.orbit.dtu.dk/ws/files/310376060/DTU_Thesis_KarinaHansen_compressed.pdf eng eng Technical University of Denmark https://orbit.dtu.dk/en/publications/02159bdd-b927-4340-ab9c-a659b0361a1c info:eu-repo/semantics/openAccess Hansen , K 2022 , Using GNSS to derive new information about Greenland and the Greenland Ice Sheet . Technical University of Denmark , Kgs. Lyngby . /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action book 2022 ftdtupubl 2023-11-30T00:08:44Z The Arctic is currently the region most susceptible to global climate change, experiencing the highest relative temperature rise. Furthermore, the possibility of rapid melt of the Greenland Ice Sheet (GrIS) is ranked among the most serious climate threats to our societies, with its potential contribution to global sea level rise regarded especially ominous. Completely melted the GrIS would be the equivalent to ∼7.4 m of global sea level rise. If the current increase in mass loss continues, the Greenland ice sheet alone may account for as much as ∼33 cm of global sea level rise by 2100, which is a significant increase compared to the ∼2.5 cm it contributed during the last century. The increased mass loss from the Greenland ice sheet and the growing interest in predicting future mass loss makes it increasingly important to unearth past climate, monitor the present and improve model predictions. This PhD project contributes to this by showing three new applications of existing Global Navigation Satellite System (GNSS) data that derive new information about Greenland and the GrIS. In the first study we presented a novel method to estimate the dynamic ice loss of Greenland’s three largest outlet glaciers: Jakobshavn Isbræ, Kangerlussuaq and Helheim. We measured the elastic displacements of the solid Earth caused by dynamic thinning using three Greenland GNSS Network (GNET) stations located near the glacier termini. When we compared our results with discharge, we found a time lag between the onset of dynamic thinning/thickening and glacier speedup/slowdown. Our results showed that dynamic thinning on Jakobshavn Isbræ occur 0.87 ±0.07 years before speedup. This implies that the GNSS time series can be used to predict speedup/slowdown of Jakobshavn Isbræ by up to 10.4 months. For Kangerlussuaq and Helheim the thinning occur 0.37 ±0.17 years (4.4 months) and 0.03 ±0.16 years (11 days) before speed up, respectively. In the second study, we used tenyear long records of Surface Elevation Change (SEC) derived from three GNSS ... Book Arctic Climate change glacier Greenland Ice Sheet Jakobshavn Jakobshavn isbræ Kangerlussuaq Technical University of Denmark: DTU Orbit Arctic Greenland Jakobshavn Isbræ ENVELOPE(-49.917,-49.917,69.167,69.167) Kangerlussuaq ENVELOPE(-55.633,-55.633,72.633,72.633) |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
/dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
spellingShingle |
/dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action Hansen, Karina Using GNSS to derive new information about Greenland and the Greenland Ice Sheet |
topic_facet |
/dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
description |
The Arctic is currently the region most susceptible to global climate change, experiencing the highest relative temperature rise. Furthermore, the possibility of rapid melt of the Greenland Ice Sheet (GrIS) is ranked among the most serious climate threats to our societies, with its potential contribution to global sea level rise regarded especially ominous. Completely melted the GrIS would be the equivalent to ∼7.4 m of global sea level rise. If the current increase in mass loss continues, the Greenland ice sheet alone may account for as much as ∼33 cm of global sea level rise by 2100, which is a significant increase compared to the ∼2.5 cm it contributed during the last century. The increased mass loss from the Greenland ice sheet and the growing interest in predicting future mass loss makes it increasingly important to unearth past climate, monitor the present and improve model predictions. This PhD project contributes to this by showing three new applications of existing Global Navigation Satellite System (GNSS) data that derive new information about Greenland and the GrIS. In the first study we presented a novel method to estimate the dynamic ice loss of Greenland’s three largest outlet glaciers: Jakobshavn Isbræ, Kangerlussuaq and Helheim. We measured the elastic displacements of the solid Earth caused by dynamic thinning using three Greenland GNSS Network (GNET) stations located near the glacier termini. When we compared our results with discharge, we found a time lag between the onset of dynamic thinning/thickening and glacier speedup/slowdown. Our results showed that dynamic thinning on Jakobshavn Isbræ occur 0.87 ±0.07 years before speedup. This implies that the GNSS time series can be used to predict speedup/slowdown of Jakobshavn Isbræ by up to 10.4 months. For Kangerlussuaq and Helheim the thinning occur 0.37 ±0.17 years (4.4 months) and 0.03 ±0.16 years (11 days) before speed up, respectively. In the second study, we used tenyear long records of Surface Elevation Change (SEC) derived from three GNSS ... |
format |
Book |
author |
Hansen, Karina |
author_facet |
Hansen, Karina |
author_sort |
Hansen, Karina |
title |
Using GNSS to derive new information about Greenland and the Greenland Ice Sheet |
title_short |
Using GNSS to derive new information about Greenland and the Greenland Ice Sheet |
title_full |
Using GNSS to derive new information about Greenland and the Greenland Ice Sheet |
title_fullStr |
Using GNSS to derive new information about Greenland and the Greenland Ice Sheet |
title_full_unstemmed |
Using GNSS to derive new information about Greenland and the Greenland Ice Sheet |
title_sort |
using gnss to derive new information about greenland and the greenland ice sheet |
publisher |
Technical University of Denmark |
publishDate |
2022 |
url |
https://orbit.dtu.dk/en/publications/02159bdd-b927-4340-ab9c-a659b0361a1c https://backend.orbit.dtu.dk/ws/files/310376060/DTU_Thesis_KarinaHansen_compressed.pdf |
long_lat |
ENVELOPE(-49.917,-49.917,69.167,69.167) ENVELOPE(-55.633,-55.633,72.633,72.633) |
geographic |
Arctic Greenland Jakobshavn Isbræ Kangerlussuaq |
geographic_facet |
Arctic Greenland Jakobshavn Isbræ Kangerlussuaq |
genre |
Arctic Climate change glacier Greenland Ice Sheet Jakobshavn Jakobshavn isbræ Kangerlussuaq |
genre_facet |
Arctic Climate change glacier Greenland Ice Sheet Jakobshavn Jakobshavn isbræ Kangerlussuaq |
op_source |
Hansen , K 2022 , Using GNSS to derive new information about Greenland and the Greenland Ice Sheet . Technical University of Denmark , Kgs. Lyngby . |
op_relation |
https://orbit.dtu.dk/en/publications/02159bdd-b927-4340-ab9c-a659b0361a1c |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1786197408580894720 |