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Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time.
Yixiao Zhang1, Jonah Bloch-Johnson2, David M Romps3,4
1Department of the Atmospheric and Oceanic Sciences Peking University Beijing China.
Journal of Advances in Modeling Earth Systems
|November 25, 2021
Summary
Inverse climate modeling (InvCM) significantly speeds up Global Climate Model (GCM) simulations. This method allows faster climate equilibrium calculations and exploration of climate sensitivity, aiding climate change research.
Area of Science:
- Climate Science
- Computational Modeling
Background:
- Global Climate Models (GCMs) are computationally expensive, limiting their application.
- An inverse climate modeling (InvCM) approach has been developed to accelerate climate equilibration.
Purpose of the Study:
- To apply and evaluate the InvCM method in ExoCAM GCM aquaplanet simulations.
- To assess the speed and accuracy of InvCM compared to traditional methods.
- To investigate climate sensitivity across a range of sea surface temperatures (SSTs).
Main Methods:
- Applied InvCM to ExoCAM GCM aquaplanet simulations with evolving SST patterns and fixed global-mean SST.
- Compared InvCM results to standard slab-ocean simulations.
- Calculated equilibrium CO2 mixing ratios for SSTs from 290 K to 340 K at 1 K intervals.
Main Results:
- InvCM achieved climate equilibrium an order of magnitude faster than normal slab-ocean simulations.
- InvCM reproduced similar climate states as traditional methods.
- Identified a significant increase in climate sensitivity around 315 K SST at higher resolution.
Conclusions:
- InvCM offers a substantial speedup for GCM simulations.
- The method enables higher resolution GCMs and broader parameter space exploration.
- InvCM can reveal unstable climate states and bifurcations, including runaway greenhouse transitions.
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