Reconciliation of Trends in Global and Regional Economic Losses from Weather Events: 1980–2008
Publication: Natural Hazards Review
Volume 15, Issue 4
Abstract
In recent years, claims have been made in venues including the authoritative reports of the Intergovernmental Panel on Climate Change (IPCC) and in testimony before the U.S. Congress that economic losses from weather events have been increasing beyond that which can be explained by societal change, based on loss data from the reinsurance industry and aggregated since 1980 at the global level. Such claims imply a contradiction with a large set of peer-reviewed studies focused on regional losses, typically over a much longer time period, which concludes that loss trends are explained entirely by societal change. To address this implied mismatch, this study disaggregates global losses from a widely utilized reinsurance data set into regional components and compares this disaggregation directly to the findings from the literature at the regional scale, most of which reach back much further in time. The study finds that global losses increased at a rate of (2008 USD) from 1980–2008 and losses from North American, Asian, European, and Australian storms and floods account for 97% of the increase. In particular, North American storms, of which U.S. hurricane losses compose the bulk, account for 57% of global economic losses. Longer-term loss trends in these regions can be explained entirely by socioeconomic factors in each region such as increasing wealth, population growth, and increasing development in vulnerable areas. The remaining 3% of the global increase 1980 to 2008 is the result of losses for which regionally based studies have not yet been completed. On climate timescales, societal change is sufficient to explain the increasing costs of disasters at the global level and claims to the contrary are not supported by aggregate loss data from the reinsurance industry.
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Acknowledgments
We would like to thank Munich Re for making available their loss data set. We would especially like to acknowledge Peter Höppe and Angelika Wirtz. This work was partially funded by the U.S. National Science Foundation, under a project on decision making under uncertainty. We would also like to thank Ami Nacu-Schmidt for her contributions as well as two anonymous reviewers.
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© 2014 American Society of Civil Engineers.
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Received: May 14, 2013
Accepted: Feb 20, 2014
Published online: Feb 22, 2014
Published in print: Nov 1, 2014
Discussion open until: Nov 18, 2014
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