Forecasting Climate Change Using a Multivariate Cointegrated System
Abstract
ABSTRACT A cointegrated vector equilibrium correction model of key climate variables including sea surface temperature, ocean heat content, Arctic sea‐ice extent and sea‐level change is built, driven by radiative forcing in which a stochastic trend arises due to anthropogenic emissions of greenhouse gases. A valid and congruent statistical model requires saturation estimation to model breaks in trends, while also conditioning on natural radiative forcings and El Niño–Southern Oscillation. The model is stable over 150 years, reflecting the slow adjustment of the deep oceans to increased greenhouse gas concentrations, and predicts an equilibrium climate sensitivity of 2.6°C. Projections out to 2100 highlight the many uncertainties over the coming decades.
Fields of Study & Subjects
Climate variability and models
Climate Change and Environmental Impact
Ecosystem dynamics and resilience
Publication details
- Journal / source
- Oxford Bulletin of Economics and Statistics
- Publisher
- Wiley
- Volume
- 88
- Issue
- 4
- Pages
- 783–802
- Publication date
- 14 February 2026
- Language
- EN