Increased levels of greenhouse gases in the atmosphere, especially carbon dioxide, are leading contributors to a significant increase in the global temperature, and the consequent global climatic changes are more noticeable in recent years than in the past. A persistent increased growth of such gases might lead to an irreversible transition or tipping of the Earth’s climatic system to a new dynamical state. A change of regimes in CO buildup being correlated to one in global climate patterns, predicting this tipping point becomes crucially important. We propose here an innovative conceptual model, which does just this. Using the idea of rate-induced bifurcations, we show that a sufficiently rapid change in the system parameters beyond a critical value tips the system over to a new dynamical state. Our model when applied to real-world data detects tipping points, enables calculation of tipping rates and predicts their future values, and identifies thresholds beyond which tipping occurs. The model well captures the growth in time of the total global atmospheric fossil-fuel CO concentrations, identifying regime shift changes through measurable parameters and enabling prediction of future trends based on past data. Our model shows two distinct routes to tipping. We predict that with the present trend of variation of atmospheric greenhouse gas concentrations, the Earth’s climatic system would move over to a new stable dynamical regime in the year 2022. We determine a limit of 10.62 GtC at the start of 2022 for global CO emissions in order to avoid this tipping.
Skip Nav Destination
Article navigation
February 2023
Research Article|
February 06 2023
Predicting climatic tipping points
Eros M. Sunny
;
Eros M. Sunny
a)
(Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
School of Natural Sciences and Engineering, National Institute of Advanced Studies (NIAS), Indian Institute of Science Campus
, Bangalore 560012, India
Search for other works by this author on:
Janaki Balakrishnan
;
Janaki Balakrishnan
b)
(Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
School of Natural Sciences and Engineering, National Institute of Advanced Studies (NIAS), Indian Institute of Science Campus
, Bangalore 560012, India
b)Author to whom correspondence should be addressed: janaki05@gmail.com
Search for other works by this author on:
Jürgen Kurths
Jürgen Kurths
(Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing)
2
Potsdam Institute for Climate Impact Research
, PO Box 601203, Potsdam 14412, Germany
Search for other works by this author on:
a)
Current address: Department of Mathematics, Little Hall 358, University of Florida, Gainesville, FL 32611, USA.
b)Author to whom correspondence should be addressed: janaki05@gmail.com
Chaos 33, 021101 (2023)
Article history
Received:
November 17 2022
Accepted:
January 09 2023
Citation
Eros M. Sunny, Janaki Balakrishnan, Jürgen Kurths; Predicting climatic tipping points. Chaos 1 February 2023; 33 (2): 021101. https://doi.org/10.1063/5.0135266
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
Sex, ducks, and rock “n” roll: Mathematical model of sexual response
K. B. Blyuss, Y. N. Kyrychko
Focus on the disruption of networks and system dynamics
Peng Ji, Jan Nagler, et al.
Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology
Eugene Tan, Shannon Algar, et al.