Computer Science and Engineering, Department of
Estimating the maximum rise in temperature according to climate models using abstract interpretation
Current climate models are complex computer programs that are typically iterated time-step by time-step to predict the next set of values of the climate-related variables. Since these iterative methods are necessarily computed only for a fixed number of iterations, they are unable to answer the natural question whether there is a limit to the rise of global temperature. In order to answer that question we propose to combine climate models with software verification techniques that can find invariant conditions for the set of program variables. In particular, we apply the constraint database approach to software verification to find that the rise in global temperature is bounded according to the common Java Climate Model that implements the Wigely/Raper Upwelling-Diffusion Energy Balance Model climate model.
Acta Univ. Sapientiae, Informatica 11, 1 (2019) 5-23 DOI: 10.2478/ausi-2019-0001