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Challenges to Understanding Extreme Weather Changes in Lower Income Countries.

Authors :
Otto, Friederike E. L.
Harrington, Luke
Schmitt, Katharina
Philip, Sjoukje
Kew, Sarah
van Oldenborgh, Geert Jan
Singh, Roop
Kimutai, Joyce
Wolski, Piotr
Source :
Bulletin of the American Meteorological Society; Oct2020, Vol. 101 Issue 10, pE1851-E1860, 10p
Publication Year :
2020

Abstract

The science of event attribution has emerged to routinely answer the question whether and to what extent human-induced climate change altered the likelihood and intensity of recently observed extreme weather events. In Europe a pilot program to operationalize the method started in November 2019, highlighting the demand for timely information on the role of climate change when it is needed most: in the direct aftermath of an extreme event. Independent of whether studies are provided operationally or as academic studies, the necessity of good observational data and well-verified climate models imply most attributions are currently made for highly developed countries only. Current attribution assessments therefore provide very little information about those events and regions where the largest damages and socio-economic losses are incurred. Arguably, these larger damages signify a much greater need for information on how the likelihood and intensity of such high-impact events have been changing and are likely to change in a warmer world. In short, why do we not focus event attribution research efforts on the whole world, and particularly events in the developing world? The reasons are not just societal and political but also scientific. We simply cannot attribute these events in the same probabilistic framework employed in most studies today. We outline six focus areas to lessen these barriers, but we will not overcome them in the near future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00030007
Volume :
101
Issue :
10
Database :
Complementary Index
Journal :
Bulletin of the American Meteorological Society
Publication Type :
Academic Journal
Accession number :
147184982
Full Text :
https://doi.org/10.1175/BAMS-D-19-0317.1