Code supporting: "Bayesian diagnosis of climate feedback evolution and forced temperature response"

This code supports the paper: Calafat, F. M., & Cael, B. B. (2023). Bayesian diagnosis of climate feedback evolution and forced temperature response, Geophysical Research Letters, submitted. Please cite this paper when using this code. Overview: The code implements a Bayesian energy balance model that extracts the forced temperature response and climate feedback evolution from historical time-series of radiative forcing, ocean heat content, and global mean surface temperature. Inference in the model is performed using Hamiltonian Monte Carlo as implemented by the Stan probabilistic programming language.

Related Organizations

National Oceanography Centre
United Kingdom

Keywords

Energy balance model, climate feedback, Bayesian hierarchical modeling

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