Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback With Multimodal Ensemble Learning
Abstract Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. In Arctic and boreal Alaska, significant uncertainties characterize the spatiotemporal rate and magnitude of permafrost degradation and the permafrost c...
Saved in:
| Main Authors: | B. A. Gay, N. J. Pastick, J. D. Watts, A. H. Armstrong, K. R. Miner, C. E. Miller |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
|
| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024JH000402 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Permafrost Table Temperature (2008–2021) in Deception Island, Antarctica
by: M. A. dePablo, et al.
Published: (2025-07-01) -
Potential nitrogen mobilisation from the Yedoma permafrost domain
by: Jens Strauss, et al.
Published: (2024-01-01) -
Burial and Origin of Permafrost‐Derived Carbon in the Nearshore Zone of the Southern Canadian Beaufort Sea
by: H. Grotheer, et al.
Published: (2020-02-01) -
Thermal state of permafrost in the high mountains of Mexico
by: Kenji Yoshikawa, et al.
Published: (2024-12-01) -
Widespread pH increase and geochemical trends in fifty boreal lakes: Evidence, prediction and plausible attribution to climate and permafrost thaw impacts across northeastern Alberta
by: J.J. Gibson, et al.
Published: (2025-04-01)