Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019)
peer reviewed The spatiotemporal distribution and variability of surface water remained poorly known at the pan-Greenland scale, and its dominant features (supraglacial rivers, lakes, and water-filled crevasses) were rarely studied collectively. We present pan-GrIS surface water extent and volume fo...
Published in: | Remote Sensing of Environment |
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Language: | English |
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Online Access: | https://orbi.uliege.be/handle/2268/306392 https://doi.org/10.1016/j.rse.2023.113781 |
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ftorbi:oai:orbi.ulg.ac.be:2268/306392 2024-04-21T08:03:19+00:00 Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) Zhang, Wensong Yang, Kang Smith, Laurence C. Wang, Yuhan van As, Dirk Noël, Brice Lu, Yao Liu, Jinyu 2023-11 https://orbi.uliege.be/handle/2268/306392 https://doi.org/10.1016/j.rse.2023.113781 en eng Elsevier BV https://api.elsevier.com/content/article/PII:S0034425723003322?httpAccept=text/xml urn:issn:0034-4257 urn:issn:1879-0704 https://orbi.uliege.be/handle/2268/306392 info:hdl:2268/306392 doi:10.1016/j.rse.2023.113781 scopus-id:2-s2.0-85171524334 restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess Remote Sensing of Environment, 297, 113781 (2023-11) Computers in Earth Sciences Geology Soil Science Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2023 ftorbi https://doi.org/10.1016/j.rse.2023.113781 2024-03-27T14:58:52Z peer reviewed The spatiotemporal distribution and variability of surface water remained poorly known at the pan-Greenland scale, and its dominant features (supraglacial rivers, lakes, and water-filled crevasses) were rarely studied collectively. We present pan-GrIS surface water extent and volume for a relatively cool (2018) and a relatively warm (2019) summer, using 10 m resolution Sentinel-2 imagery, a semi-automated multi-scale water extraction algorithm, and the Regional Atmospheric Climate Model (RACMO). While the 10 m resolution of Sentinel-2 imagery prevents inclusion of all water-filled crevasses and narrow rivers, our findings include: (1) strong interannual differences are observed in total surface water area (4903km2 vs. 9988 km2), volume (3.5 km3 vs. 6.8 km3), and mean elevation limit (1407 m a.s.l. vs. 1545 m a.s.l.) in response to a low (cool) (265 Gt/yr) and high (warm) (510 Gt/yr) runoff year; (2) large spatial contrasts in surface water extent, volume, elevation limit, and drainage pattern among the eight major GrIS basins; (3) supraglacial rivers dominate GrIS surface water appearance, accounting for 57%/48% of total surface water area/volume, respectively, over the two years (in contrast, water-filled crevasses and supraglacial lakes account for 33%/32% and 10%/20%, respectively); (4) ratio of remotely sensed water volume to RACMO-simulated cumulative surface runoff declines during the cool (2.6%) vs. the warm (1.8%) year; and from north (4.5%) to south (1.1%) Greenland. In summary, this study reveals strong temporal and spatial differences in GrIS surface water extent, volume, and drainage pattern and raises prospects for improved understanding of pan-Greenland Ice Sheet surface hydrology. Article in Journal/Newspaper Greenland Ice Sheet University of Liège: ORBi (Open Repository and Bibliography) Remote Sensing of Environment 297 113781 |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
op_collection_id |
ftorbi |
language |
English |
topic |
Computers in Earth Sciences Geology Soil Science Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
spellingShingle |
Computers in Earth Sciences Geology Soil Science Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Zhang, Wensong Yang, Kang Smith, Laurence C. Wang, Yuhan van As, Dirk Noël, Brice Lu, Yao Liu, Jinyu Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
topic_facet |
Computers in Earth Sciences Geology Soil Science Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
description |
peer reviewed The spatiotemporal distribution and variability of surface water remained poorly known at the pan-Greenland scale, and its dominant features (supraglacial rivers, lakes, and water-filled crevasses) were rarely studied collectively. We present pan-GrIS surface water extent and volume for a relatively cool (2018) and a relatively warm (2019) summer, using 10 m resolution Sentinel-2 imagery, a semi-automated multi-scale water extraction algorithm, and the Regional Atmospheric Climate Model (RACMO). While the 10 m resolution of Sentinel-2 imagery prevents inclusion of all water-filled crevasses and narrow rivers, our findings include: (1) strong interannual differences are observed in total surface water area (4903km2 vs. 9988 km2), volume (3.5 km3 vs. 6.8 km3), and mean elevation limit (1407 m a.s.l. vs. 1545 m a.s.l.) in response to a low (cool) (265 Gt/yr) and high (warm) (510 Gt/yr) runoff year; (2) large spatial contrasts in surface water extent, volume, elevation limit, and drainage pattern among the eight major GrIS basins; (3) supraglacial rivers dominate GrIS surface water appearance, accounting for 57%/48% of total surface water area/volume, respectively, over the two years (in contrast, water-filled crevasses and supraglacial lakes account for 33%/32% and 10%/20%, respectively); (4) ratio of remotely sensed water volume to RACMO-simulated cumulative surface runoff declines during the cool (2.6%) vs. the warm (1.8%) year; and from north (4.5%) to south (1.1%) Greenland. In summary, this study reveals strong temporal and spatial differences in GrIS surface water extent, volume, and drainage pattern and raises prospects for improved understanding of pan-Greenland Ice Sheet surface hydrology. |
format |
Article in Journal/Newspaper |
author |
Zhang, Wensong Yang, Kang Smith, Laurence C. Wang, Yuhan van As, Dirk Noël, Brice Lu, Yao Liu, Jinyu |
author_facet |
Zhang, Wensong Yang, Kang Smith, Laurence C. Wang, Yuhan van As, Dirk Noël, Brice Lu, Yao Liu, Jinyu |
author_sort |
Zhang, Wensong |
title |
Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
title_short |
Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
title_full |
Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
title_fullStr |
Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
title_full_unstemmed |
Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
title_sort |
pan-greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) |
publisher |
Elsevier BV |
publishDate |
2023 |
url |
https://orbi.uliege.be/handle/2268/306392 https://doi.org/10.1016/j.rse.2023.113781 |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
Remote Sensing of Environment, 297, 113781 (2023-11) |
op_relation |
https://api.elsevier.com/content/article/PII:S0034425723003322?httpAccept=text/xml urn:issn:0034-4257 urn:issn:1879-0704 https://orbi.uliege.be/handle/2268/306392 info:hdl:2268/306392 doi:10.1016/j.rse.2023.113781 scopus-id:2-s2.0-85171524334 |
op_rights |
restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1016/j.rse.2023.113781 |
container_title |
Remote Sensing of Environment |
container_volume |
297 |
container_start_page |
113781 |
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