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The radiative feedback continuum from Snowball Earth to an ice-free hothouse
1Scripps Institution of Oceanography, University of California San Diego, La Jolla, USA. eisenman@ucsd.edu.
Nature Communications
|August 3, 2024
Summary
The pre-industrial climate is optimally stable. Warming or significant cooling reduces climate stability, impacting climate sensitivity estimates from paleoclimate records.
Area of Science:
- Earth System Science
- Paleoclimatology
- Climate Modeling
Background:
- Paleoclimate records are crucial for estimating modern equilibrium climate sensitivity.
- Understanding climate feedback variations across different climate states is essential for accurate sensitivity estimates.
Purpose of the Study:
- To investigate how climate feedbacks change across a wide range of global temperatures.
- To determine the stability of the pre-industrial climate state relative to warmer and colder climates.
- To refine the interpretation of paleoclimate data for climate sensitivity calculations.
Main Methods:
- Utilized a state-of-the-art climate model to simulate climates from Snowball Earth to hothouse conditions.
- Warmed and cooled the model to create a continuum of climate states.
- Analyzed the roles of albedo, lapse-rate, and cloud feedbacks in climate stability.
Main Results:
- The pre-industrial climate represents a stability optimum.
- Warming the climate decreases its stability, increasing climate sensitivity.
- Cooling the climate by more than 2K also decreases stability.
- Albedo and lapse-rate feedbacks dominate stability loss in colder climates; cloud feedback dominates in warmer climates.
Conclusions:
- Paleoclimate records offer a more robust constraint on climate sensitivity than previously thought.
- The study suggests a reduced uncertainty range for climate sensitivity.
- Climate stability is highly dependent on the specific feedback mechanisms active at different global temperatures.
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