Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
Fuente:
arXiv
Guardado en:
| Autores principales: | Morr, Andreas, Ben-Yami, Maya, Groenke, Brian, Schötz, Christof, Cotronei, Alessandro, Myrvoll-Nilsen, Eirik, Bathiany, Sebastian, Rypdal, Martin, Boers, Niklas |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Uncertainties too large to predict tipping times of major Earth system components from historical data
por: Ben-Yami, Maya, et al.
Publicado: (2023)
por: Ben-Yami, Maya, et al.
Publicado: (2023)
Estimating the Resilience of Non-Stationary Systems
por: Smith, Taylor, et al.
Publicado: (2026)
por: Smith, Taylor, et al.
Publicado: (2026)
Reconstructing Historical Climate Fields With Deep Learning
por: Bochow, Nils, et al.
Publicado: (2023)
por: Bochow, Nils, et al.
Publicado: (2023)
Generative deep learning improves reconstruction of global historical climate records
por: Qian, Zhen, et al.
Publicado: (2026)
por: Qian, Zhen, et al.
Publicado: (2026)
Detection of Approaching Critical Transitions in Natural Systems Driven by Red Noise
por: Morr, Andreas, et al.
Publicado: (2023)
por: Morr, Andreas, et al.
Publicado: (2023)
Predicting Instabilities in Transient Landforms and Interconnected Ecosystems
por: Smith, Taylor, et al.
Publicado: (2025)
por: Smith, Taylor, et al.
Publicado: (2025)
Anticipating AMOC transitions via deep learning
por: Zhang, Wenjie, et al.
Publicado: (2025)
por: Zhang, Wenjie, et al.
Publicado: (2025)
A Generative Machine Learning Approach for Improving Precipitation from Earth System Models
por: Hess, Philipp, et al.
Publicado: (2024)
por: Hess, Philipp, et al.
Publicado: (2024)
Decadal sink-source shifts of forest aboveground carbon since 1988
por: Qian, Zhen, et al.
Publicado: (2025)
por: Qian, Zhen, et al.
Publicado: (2025)
The influence of data gaps and outliers on resilience indicators
por: Liu, Teng, et al.
Publicado: (2025)
por: Liu, Teng, et al.
Publicado: (2025)
Conditional diffusion models for downscaling and bias correction of Earth system model precipitation
por: Aich, Michael, et al.
Publicado: (2024)
por: Aich, Michael, et al.
Publicado: (2024)
Discontinuous stochastic forcing in Greenland ice core data
por: Riechers, Keno, et al.
Publicado: (2025)
por: Riechers, Keno, et al.
Publicado: (2025)
Quantifying risk of a noise-induced AMOC collapse from northern and tropical Atlantic Ocean variability
por: Chapman, R., et al.
Publicado: (2024)
por: Chapman, R., et al.
Publicado: (2024)
The Role of Sea-ice Processes on the Probability of AMOC Transitions
por: van Westen, René M., et al.
Publicado: (2024)
por: van Westen, René M., et al.
Publicado: (2024)
Machine-Precision Prediction of Low-Dimensional Chaotic Systems
por: Schötz, Christof, et al.
Publicado: (2025)
por: Schötz, Christof, et al.
Publicado: (2025)
Summary of Bayesian onset detection algorithm for abrupt warming transitions in the NGRIP record: age
por: Myrvoll-Nilsen, Eirik
Publicado: (2023)
por: Myrvoll-Nilsen, Eirik
Publicado: (2023)
Summary of Bayesian onset detection algorithm for abrupt warming transitions in the NGRIP record
por: Myrvoll-Nilsen, Eirik
Publicado: (2023)
por: Myrvoll-Nilsen, Eirik
Publicado: (2023)
Summary of Bayesian onset detection algorithm for abrupt warming transitions in the NGRIP record: depth
por: Myrvoll-Nilsen, Eirik
Publicado: (2023)
por: Myrvoll-Nilsen, Eirik
Publicado: (2023)
West Antarctic Meltwater can Prevent an AMOC Collapse
por: Sinet, Sacha, et al.
Publicado: (2025)
por: Sinet, Sacha, et al.
Publicado: (2025)
Transformer For Low-frequency Extrapolating of Seismic Data
por: Cong, Zheng, et al.
Publicado: (2024)
por: Cong, Zheng, et al.
Publicado: (2024)
Failure to track a stable AMOC state under rapid climate change
por: van Westen, René M., et al.
Publicado: (2026)
por: van Westen, René M., et al.
Publicado: (2026)
A simulation study of the impact of fracture networks on the co-production of geothermal energy and lithium
por: Banshoya, Shin Irgens, et al.
Publicado: (2025)
por: Banshoya, Shin Irgens, et al.
Publicado: (2025)
Extending the Width of Short Aperture Data by Data-Driven Extrapolation
por: Schuster, Gerard, et al.
Publicado: (2025)
por: Schuster, Gerard, et al.
Publicado: (2025)
Reconciled warning signals in observations and models imply approaching AMOC tipping point
por: Shin, Yechul, et al.
Publicado: (2025)
por: Shin, Yechul, et al.
Publicado: (2025)
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System
por: Zhang, Hao, et al.
Publicado: (2023)
por: Zhang, Hao, et al.
Publicado: (2023)
Modeling Transient Electromagnetic Logging Using Sine Transform and Levin-Sidi Extrapolation
por: Li, Feng-Feng
Publicado: (2025)
por: Li, Feng-Feng
Publicado: (2025)
The influence of grain crushing and pore collapse on the formation of faults
por: Collins-Craft, N. A., et al.
Publicado: (2025)
por: Collins-Craft, N. A., et al.
Publicado: (2025)
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
por: Hess, Philipp, et al.
Publicado: (2024)
por: Hess, Philipp, et al.
Publicado: (2024)
Statistical warning indicators for abrupt transitions in dynamical systems with slow periodic forcing
por: Suerhoff, Florian, et al.
Publicado: (2026)
por: Suerhoff, Florian, et al.
Publicado: (2026)
Application of a dispersive wave hydro-sediment-morphodynamic model in the Ria Formosa lagoon
por: Kazhyken, Kazbek, et al.
Publicado: (2022)
por: Kazhyken, Kazbek, et al.
Publicado: (2022)
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks
por: Shi, Haiyang
Publicado: (2024)
por: Shi, Haiyang
Publicado: (2024)
Enhanced Ionospheric Ray-Tracing: Advanced Electron Collision and Horizontal Gradient Modeling in the IONORT-ISP-WC System
por: Settimi, Alessandro
Publicado: (2025)
por: Settimi, Alessandro
Publicado: (2025)
Machine learning potential for serpentines
por: Wang, Hongjin, et al.
Publicado: (2024)
por: Wang, Hongjin, et al.
Publicado: (2024)
Algorithms for extraction of reliable density ratios from pre‐stack seismic data—Part 1: Theory
por: Ivan Lehocki, et al.
Publicado: (2025)
por: Ivan Lehocki, et al.
Publicado: (2025)
Haicheng and Tangshan Earthquakes as potential Dragon-Kings
por: Li, Jiawei, et al.
Publicado: (2025)
por: Li, Jiawei, et al.
Publicado: (2025)
Machine Learning for Predicting Chaotic Systems
por: Schötz, Christof, et al.
Publicado: (2024)
por: Schötz, Christof, et al.
Publicado: (2024)
Low‐Frequency Extrapolation by Deep‐Learning for Cross‐Well Full‐Waveform Inversion – Case Study From the Aquistore CO2$\rm CO_{2}$ Storage Site
por: Amir Mardan, et al.
Publicado: (2025)
por: Amir Mardan, et al.
Publicado: (2025)
Exploration of the deep geothermal potential of Petite-Terre Island in Mayotte
por: Dezayes, Chrystel
Publicado: (2024)
por: Dezayes, Chrystel
Publicado: (2024)
Identifying potentially induced seismicity and assessing statistical significance in Oklahoma and California
por: McClure, Mark, et al.
Publicado: (2016)
por: McClure, Mark, et al.
Publicado: (2016)
Planetesimal gravitational collapse in a gaseous environment: Thermal and dynamic evolution
por: Segretain, P., et al.
Publicado: (2024)
por: Segretain, P., et al.
Publicado: (2024)
Ejemplares similares
-
Uncertainties too large to predict tipping times of major Earth system components from historical data
por: Ben-Yami, Maya, et al.
Publicado: (2023) -
Estimating the Resilience of Non-Stationary Systems
por: Smith, Taylor, et al.
Publicado: (2026) -
Reconstructing Historical Climate Fields With Deep Learning
por: Bochow, Nils, et al.
Publicado: (2023) -
Generative deep learning improves reconstruction of global historical climate records
por: Qian, Zhen, et al.
Publicado: (2026) -
Detection of Approaching Critical Transitions in Natural Systems Driven by Red Noise
por: Morr, Andreas, et al.
Publicado: (2023)