Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling

Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling

Abstract Ground heat flux (G0) is a key component of the land‐surface energy balance of high‐latitude regions. Despite its crucial role in controlling permafrost degradation due to global warming, G0 is sparsely measured and not well represented in the outputs of global scale model simulation. In th...

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Bibliographic Details
Main Authors: Wenbo Zhou, Liujing Zhang, Aleksey Sheshukov, Jingfeng Wang, Modi Zhu, Khachik Sargsyan, Donghui Xu, Desheng Liu, Tianqi Zhang, Valeriy Mazepa, Alexandr Sokolov, Victor Valdayskikh, Valeriy Ivanov
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-03-01
Series:Earth and Space Science
Subjects:
ground heat flux
soil temperature
parameter inference
permafrost
surrogate modeling
Online Access:https://doi.org/10.1029/2023EA003435

Internet

https://doi.org/10.1029/2023EA003435

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