Data for Temperature variability implies greater economic damages from climate change

A central feature of these assessments is their accounting of the economic cost of epistemic uncertainty—that part of our uncertainty stemming from our inability to precisely estimate key model parameters, such as the Equilibrium Climate Sensitivity. However, these models fail to account for the cost of aleatory uncertainty—the irreducible uncertainty that remains even when the true parameter values are known.

We show how to account for this second source of uncertainty in a physically well-founded and tractable way, and we demonstrate that even modest variability implies trillions of dollars of previously unaccounted for economic damages.<br><br>Data record consists of 22 files, including raw Matlab data in .R and .m format, as well as an accompanying readme file. Further information on specific data files can be found in the accompanying readme file.