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Unveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data‐Driven Hydro‐Thermo Coupled Simulation
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Unveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data‐Driven Hydro‐Thermo Coupled Simulation
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Journal Article
Unveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data‐Driven Hydro‐Thermo Coupled Simulation
2025
Overview
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 (Δv)$({\\Delta }v)$during a 2‐month controlled permafrost thaw experiment in Fairbanks, Alaska. To understand the underlying physical mechanisms of Δv${\\Delta }v$ , multimodal rock‐physics simulations were conducted to associate the observed Δv${\\Delta }v$to hydrological and thermal processes like heating and rainfall events. Furthermore, we employ a physics‐guided deep learning algorithm alongside interpretable techniques to evaluate the impact of various physical factors and shed light on the cryospheric hydro‐thermo coupling mechanisms. This study highlights the potential of using DAS and data‐driven rock‐physics simulation for complex cryosphere monitoring and offers a comprehensive view of the permafrost's thawing dynamics. Plain Language Summary Our study delves into the changes in the cryosphere due to global warming, utilizing an instrumented field site in Fairbanks, Alaska. We used Distributed Acoustic Sensing (DAS), which involves sending light pulses through fiber‐optic cables to detect ground vibrations, to provide insights into the condition of the permafrost. Using data previously collected over a 2 months period, we analyzed the permafrost's response to artificial warming, akin to the effects of climate change. This process involved tracking shear wave velocity changes in the ground, which helped identify the shifts in ice, water, and soil composition within the permafrost. Our findings indicate that permafrost thawing significantly alters shear wave velocity, signaling changes in the structure and water content of the cryosphere. By integrating field observations with computer simulations and deep learning, we unraveled the complex hydro‐thermo interactions within the thawing cryosphere. This research is helpful for understanding how the transformation of the cryosphere affects global climate and local ecosystems, enhancing our capability to predict and manage the ramifications of climate change in Earth's frozen regions. Key Points DAS observes seismic responses related to hydrological and thermal processes within the cryosphere Time‐lapse surface wave analysis delivers high‐resolution shear wave velocity changes within the permafrost Data‐driven rock‐physics simulations predict seismic velocity perturbations and reveal complex hydro‐thermo coupling mechanisms
