Outlet glacier flow response to surface melt: based on analysis of a high-resolution satellite data set

被引:2
|
作者
Larsen, Signe H. [1 ]
Ahlstrom, Andreas P. [1 ]
Karlsson, Nanna B. [1 ]
Kusk, Anders [2 ]
Langen, Peter L. [3 ]
Hvidberg, Christine S. [4 ]
机构
[1] Geol Survey Denmark & Greenland GEUS, Dept Glaciol & Climate, Copenhagen, Denmark
[2] Tech Univ Denmark, Natl Space Inst, Kongens Lyngby, Denmark
[3] Aarhus Univ, Dept Environm Sci, IClimate, Roskilde, Denmark
[4] Univ Copenhagen, Niels Bohr Inst, Copenhagen, Denmark
关键词
Ice dynamics; ice streams; subglacial processes; GREENLAND ICE-SHEET; SUBGLACIAL DRAINAGE; VELOCITY; CLASSIFICATION; ACCELERATION; PROGRAM;
D O I
10.1017/jog.2022.124
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The dynamics of the Greenland Ice Sheet are affected by surface meltwater reaching the base of the ice, altering ice contact with the bedrock. Lack of understanding of this evolution hampers the ability to predict the effects of increasing temperatures on the Greenland Ice Sheet mass balance. Here we present a unique high-resolution study of ice velocity response to surface melting based on data from a COSMO-SkyMed satellite campaign over Upernavik Isstrom (Northwest Greenland) for two months around the end of the 2014 melt season. We show that the velocity variations, due to both short-term (days) and seasonal variations in surface melt rates, are increasing in relative strength farther from the glacier terminus. Furthermore, we observe how ice dynamic response to frontal retreat, reaching several kilometres inland, can obscure the meltwater-induced velocity change close to the terminus. Future studies should consider the flow velocity dependence on the distance to the terminus, and local geometry, to distinguish subglacial hydrologic system changes from frontal processes and local basal conditions.
引用
收藏
页码:1047 / 1055
页数:9
相关论文
共 50 条
  • [31] Spatial Heterogeneity and Temporal Variation in Urban Surface Albedo Detected by High-Resolution Satellite Data
    Wu, Hantian
    Huang, Bo
    Zheng, Zhaoju
    Ma, Zonghan
    Zeng, Yuan
    REMOTE SENSING, 2022, 14 (23)
  • [32] The use of satellite derived wind data in high-resolution regional ocean surface wind fields
    Gemmill, WH
    Peters, CA
    CONFERENCE ON COASTAL OCEANIC AND ATMOSPHERIC PREDICTION, 1996, : 397 - 400
  • [33] Transparency inversion algorithm for surface drinking water sources based on high-resolution satellite (GF-2) data
    Zhang, Kai
    Zhang, Xiaoyu
    Jiang, Binbin
    Wang, Mengqi
    Zhu, Yuchen
    2024 12TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS, AGRO-GEOINFORMATICS 2024, 2024, : 79 - 84
  • [34] High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data
    Shahrokhishahraki, Nasimeh
    Rayner, Peter Julian
    Silver, Jeremy David
    Thomas, Steven
    Schofield, Robyn
    ATMOSPHERIC ENVIRONMENT, 2022, 270
  • [35] A Global High-Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling
    Dai, Yongjiu
    Xin, Qinchuan
    Wei, Nan
    Zhang, Yonggen
    Wei Shangguan
    Yuan, Hua
    Zhang, Shupeng
    Liu, Shaofeng
    Lu, Xingjie
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2019, 11 (09) : 2996 - 3023
  • [36] Potential of high-resolution satellite data in the context of vulnerability of buildings
    Mueller, M
    Segl, K
    Heiden, U
    Kaufmann, H
    NATURAL HAZARDS, 2006, 38 (1-2) : 247 - 258
  • [37] EVALUATION OF HIGH-RESOLUTION SATELLITE RAINFALL DATA OVER SINGAPORE
    Hur, Jina
    Raghavan, Srivatsan V.
    Ngoc Son Nguyen
    Liong, Shie-Yui
    12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 : 158 - 167
  • [38] A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data
    Kussul, Nataliia
    Lavreniuk, Mykola
    Kolotii, Andrii
    Skakun, Sergii
    Rakoid, Olena
    Shumilo, Leonid
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2020, 13 (02) : 309 - 321
  • [39] Synthesizing high-resolution satellite salinity data based on multi-fractal fusion
    Yan, Hengqian
    Shi, Jian
    Zhang, Ren
    Hu, Wangjiang
    Zhang, Yongchui
    Hong, Mei
    ACTA OCEANOLOGICA SINICA, 2024, 43 (07) : 112 - 124
  • [40] Potential of High-Resolution Satellite Data in the Context of Vulnerability of Buildings
    Marina Mueller
    Karl Segl
    Uta Heiden
    Hermann Kaufmann
    Natural Hazards, 2006, 38 : 247 - 258