logo
ResearchBunny Logo
Temperature variability implies greater economic damages from climate change

Economics

Temperature variability implies greater economic damages from climate change

R. Calel, S. C. Chapman, et al.

This groundbreaking research by Raphael Calel, Sandra C. Chapman, David A. Stainforth, and Nicholas W. Watkins reveals how incorporating aleatory uncertainty into climate change cost assessments uncovers trillions of dollars in damages previously overlooked. Discover the importance of accounting for the unpredictable in economic models of climate change.

00:00
00:00
~3 min • Beginner • English
Abstract
A number of influential assessments of the economic cost of climate change rely on just a small number of coupled climate-economy models. 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.
Publisher
Nature Communications
Published On
Oct 06, 2020
Authors
Raphael Calel, Sandra C. Chapman, David A. Stainforth, Nicholas W. Watkins
Tags
climate change
economic assessment
uncertainty
aleatory uncertainty
damages
epistemic uncertainty
cost analysis
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny