29.11.2022

New Paper: ClimBayes

Congrats to Maybritt Schilling and Beatrice Ellerhoff to the successful publication of their new paper. Find out more on forced and unforced variability of global temperature ...

Maybritt Schilling and Beatrice Ellerhoff successfully published their new paper "Separating internal and externally forced contriutions to global temperature variability using a Bayesian stochastic energy balance framework" in Chaos: An Interdisciplinary Journal of Nonlinear Science.

The following key points summarize their work:

• They combined Bayesian inference and conceptual climate modeling to emuate global temperature variability from climate models of varying complexity.
• The approach can successfully separate forced and unforced contributions to global temperature variations across timescales.
• Stochastic energy balance models (EBM) can largely reproduce the global temperature variability of more complex climate models.

We are happy for this new contribution towards the understanding of global temperature variability.