Simple Stochastic Modeling of Snowball Probability Throughout Earth History
Mark Baum, Minmin Fu

TL;DR
This paper introduces simple stochastic models of Earth's long-term carbon cycle to understand the probability of snowball events throughout Earth's history, highlighting the importance of variability in outgassing processes.
Contribution
It compares two stochastic models of Earth's carbon cycle, revealing how different representations of variability influence snowball probability estimates.
Findings
Direct CO2 stochastic process is incompatible with absence of snowballs in the Phanerozoic.
Model separating source and sink aligns better with snowball record.
Long-term outgassing fluctuations modestly increase snowball event probability.
Abstract
Over its multibillion-year history, Earth has exhibited a wide range of climates. Its history ranges from snowball episodes where the surface was mostly or entirely covered by ice to periods much warmer than today, where the cryosphere was virtually absent. Our understanding of greenhouse gas evolution over this long history, specifically carbon dioxide, is mainly informed by deterministic models. However, the complexity of the carbon cycle and its uncertainty over time motivates the study of non-deterministic models, where key elements of the cycle are represented by inherently stochastic processes. By doing so, we can learn what models of variability are compatible with Earth's climate record instead of how exactly this variability is produced. In this study, we address why there were snowballs in the Proterozoic, but not the Phanerozoic by discussing two simple stochastic models of…
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Taxonomy
TopicsAtmospheric and Environmental Gas Dynamics · Hydrocarbon exploration and reservoir analysis · Global Energy and Sustainability Research
