Emergent Climate Stability from Deep Earth–Ocean–Atmosphere Coupling: A Physics-Only Global Simulation

This study investigates the deep coupling between planetary climate systems and underlying geophysical processes using a high-resolution global simulation framework. By jointly modeling atmosphere–ocean dynamics, ice feedbacks, mantle heat flux, and long-range nonlinear interactions, the work explores how climate stability, variability, and emergent structural patterns arise from multi-layer physical coupling.The simulation reveals a reproducible 55-node organizational structure, a global stability signature of 6.27, and a coherent system topology that persists despite atmospheric turbulence and high-dimensional perturbations. These results suggest that climate may be partially governed by deeper structural invariants rather than surface-level forcings alone.The findings have implications for long-term climate forecasting, planetary evolution, energy-transport modeling, and the search for universal physical attractors across complex Earth-like systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17834610
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emergent Climate Stability from Deep Earth–Ocean–Atmosphere Coupling: A Physics-Only Global Simulation

Zenodo (CERN European Organization for Nuclear Research)
Oceanographic and Atmospheric Processes
article

Emergent Climate Stability from Deep Earth–Ocean–Atmosphere Coupling: A Physics-Only Global Simulation

article en

Abstract

This study investigates the deep coupling between planetary climate systems and underlying geophysical processes using a high-resolution global simulation framework. By jointly modeling atmosphere–ocean dynamics, ice feedbacks, mantle heat flux, and long-range nonlinear interactions, the work explores how climate stability, variability, and emergent structural patterns arise from multi-layer physical coupling.The simulation reveals a reproducible 55-node organizational structure, a global stability signature of 6.27, and a coherent system topology that persists despite atmospheric turbulence and high-dimensional perturbations. These results suggest that climate may be partially governed by deeper structural invariants rather than surface-level forcings alone.The findings have implications for long-term climate forecasting, planetary evolution, energy-transport modeling, and the search for universal physical attractors across complex Earth-like systems.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 33%
Oceanographic and Atmospheric Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.