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...

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Published in:Remote Sensing of Environment
Main Authors: Zhang, Wensong, Yang, Kang, Smith, Laurence C., Wang, Yuhan, van As, Dirk, Noël, Brice, Lu, Yao, Liu, Jinyu
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2023
Subjects:
Online Access:https://orbi.uliege.be/handle/2268/306392
https://doi.org/10.1016/j.rse.2023.113781
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spelling 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
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info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.1016/j.rse.2023.113781
container_title Remote Sensing of Environment
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