Global Warming Prediction Project: What Drives Global Warming?

a nonlinear dynamic interdependent system model of 6 variables that describes and predicts global warming till October 2017; entirely learned from observational data.

We posted a new article about "What Drives Global Warming?"

Global Warming model

This article presents a nonlinear dynamic interdependent system model of 6 variables that describes and predicts global warming till October 2017. This system model was entirely self-organized from observational data following an inductive, data-driven approach.

The article also discusses observed temperatures of the past 5 years (monthly resolved) and predicted ones by the presented system model compared to CO2-driven IPCC Global Climate Projections of the 4th Assessment Report 2007 for the period till October 2017.

Models and software can be downloaded free from the article.

This work is part of our Global Warming Prediction Project.