Unveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data‐Driven Hydro‐Thermo Coupled Simulation

DOI number:10.1029/2024gl111188

Affiliation of Author(s):中国科学技术大学地球和空间科学学院

Journal:Geophysical Research Letters

Place of Publication:美国

Abstract:As global warming continues, the Earth's cryosphere is experiencing severe degradation. This study leverages a novel combination of distributed acoustic sensing (DAS) and artificial intelligence to monitor and decipher cryospheric dynamics. We have developed an advanced time‐lapse surface wave analysis workflow to capture shear wave velocity changes during a 2‐month controlled permafrost thaw experiment in Fairbanks, Alaska. To understand the underlying physical mechanisms of , multimodal rock‐physics simulations were conducted to associate the observed to hydrological and thermal processes li

First Author:Haoyuan Sun

Co-author:Feng Cheng, Jianghai Xia, Jianbo Guan,Zefeng Li, Jonathan B. Ajo‐Franklin

Indexed by:Journal paper

Correspondence Author:Feng Cheng

Document Code:38

Discipline:Natural Science

First-Level Discipline:Geophysics

Document Type:SCI

Volume:52

Issue:2

Page Number:e2024GL111188

ISSN No.:0094-8276

Translation or Not:no

Date of Publication:2025-01-27

Links to published journals:https://doi.org/10.1029/2024gl111188