Hydrometeorological and Topographic Controls on Rock Glacier Kinematics: A Case Study From Southeastern Alaska

IF 3.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Qingyu Sui, Zhong Lu, Tyler M. Meng, Jinwoo Kim, Bretwood Higman, Chunli Dai, Emmanuel Junior Budukumah, Sam McColl, Ian Howat, Chad Hults, Vamshi Karanam, Kang Liang
{"title":"Hydrometeorological and Topographic Controls on Rock Glacier Kinematics: A Case Study From Southeastern Alaska","authors":"Qingyu Sui,&nbsp;Zhong Lu,&nbsp;Tyler M. Meng,&nbsp;Jinwoo Kim,&nbsp;Bretwood Higman,&nbsp;Chunli Dai,&nbsp;Emmanuel Junior Budukumah,&nbsp;Sam McColl,&nbsp;Ian Howat,&nbsp;Chad Hults,&nbsp;Vamshi Karanam,&nbsp;Kang Liang","doi":"10.1029/2025JF008895","DOIUrl":null,"url":null,"abstract":"<p>Rock glacier kinematics are indicators of alpine climate change, yet the relative influence of thermal and hydrological processes on their motion remains poorly constrained. This uncertainty limits our ability to predict how these permafrost landforms will respond to ongoing climate change. Here, we present a mechanistic case study of seven active rock glaciers in Wrangell–St. Elias National Park, Alaska (USA) was selected to span contrasting aspects, snow insulation, and kinematic behavior. Using multi-temporal Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2018 to 2022, we derived high-resolution (∼30 m) velocity maps and deformation time series by combining ascending and descending observations and assuming predominantly downslope motion. Independent Component Analysis (ICA) was applied to separate long-term trends from seasonal signals, enabling the characterization of deformation components associated with environmental forcing. We then quantified the water infiltration effects by estimating hydraulic conductivity from the observed lag times between snowmelt and seasonal deformation peaks. Subsurface thermal regimes were simulated using the CryoGrid land surface and permafrost model. Results reveal that rock glaciers with greater solar radiation and warmer subsurface conditions exhibit enhanced meltwater infiltration and stronger seasonal deformation, while colder, shaded sites remain relatively stable. This combined InSAR, ICA, hydraulic, and thermal analysis highlights how hydrological and thermal controls govern spatial variability in rock glacier kinematics, offering insights into the sensitivity of permafrost landforms to ongoing climate change.</p>","PeriodicalId":15887,"journal":{"name":"Journal of Geophysical Research: Earth Surface","volume":"131 4","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025JF008895","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Earth Surface","FirstCategoryId":"89","ListUrlMain":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JF008895","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Rock glacier kinematics are indicators of alpine climate change, yet the relative influence of thermal and hydrological processes on their motion remains poorly constrained. This uncertainty limits our ability to predict how these permafrost landforms will respond to ongoing climate change. Here, we present a mechanistic case study of seven active rock glaciers in Wrangell–St. Elias National Park, Alaska (USA) was selected to span contrasting aspects, snow insulation, and kinematic behavior. Using multi-temporal Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2018 to 2022, we derived high-resolution (∼30 m) velocity maps and deformation time series by combining ascending and descending observations and assuming predominantly downslope motion. Independent Component Analysis (ICA) was applied to separate long-term trends from seasonal signals, enabling the characterization of deformation components associated with environmental forcing. We then quantified the water infiltration effects by estimating hydraulic conductivity from the observed lag times between snowmelt and seasonal deformation peaks. Subsurface thermal regimes were simulated using the CryoGrid land surface and permafrost model. Results reveal that rock glaciers with greater solar radiation and warmer subsurface conditions exhibit enhanced meltwater infiltration and stronger seasonal deformation, while colder, shaded sites remain relatively stable. This combined InSAR, ICA, hydraulic, and thermal analysis highlights how hydrological and thermal controls govern spatial variability in rock glacier kinematics, offering insights into the sensitivity of permafrost landforms to ongoing climate change.

Abstract Image

岩石冰川运动学的水文气象和地形控制:以阿拉斯加东南部为例
岩石冰川运动是高山气候变化的指标,但热过程和水文过程对其运动的相对影响仍然缺乏约束。这种不确定性限制了我们预测这些永久冻土地貌如何应对持续的气候变化的能力。在此,我们提出了在Wrangell-St的7个活动岩石冰川的机械案例研究。Elias国家公园,阿拉斯加(美国)被选中跨越对比方面,雪绝缘,和运动行为。利用2018年至2022年的多时段Sentinel-1干涉合成孔径雷达(InSAR)数据,通过结合上升和下降观测并假设主要是下坡运动,我们获得了高分辨率(~ 30 m)速度图和变形时间序列。应用独立分量分析(ICA)将长期趋势与季节信号分离,从而能够表征与环境强迫相关的变形分量。然后,我们通过观测到的融雪和季节变形峰值之间的滞后时间来估计水力传导率,从而量化水渗透效应。利用CryoGrid地表和永久冻土模型模拟了地下热状态。结果表明,在太阳辐射较大、地下温度较高的条件下,岩石冰川的融水入渗增强,季节性变形更强,而在较冷的阴影区则保持相对稳定。结合InSAR、ICA、水力和热分析,突出了水文和热控制如何控制岩石冰川运动学的空间变动性,从而深入了解永久冻土地貌对持续气候变化的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书