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  High-income does not protect against hurricane losses

Geiger, T., Frieler, K., Levermann, A. (2016): High-income does not protect against hurricane losses. - Environmental Research Letters, 11, 8, 084012.
https://doi.org/10.1088/1748-9326/11/8/084012

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 Urheber:
Geiger, Tobias1, Autor              
Frieler, Katja1, Autor              
Levermann, Anders1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Damage due to tropical cyclones accounts for more than 50% of all meteorologically-induced economic losses worldwide. Their nominal impact is projected to increase substantially as the exposed population grows, per capita income increases, and anthropogenic climate change manifests. So far, historical losses due to tropical cyclones have been found to increase less than linearly with a nation's affected gross domestic product (GDP). Here we show that for the United States this scaling is caused by a sub-linear increase with affected population while relative losses scale super-linearly with per capita income. The finding is robust across a multitude of empirically derived damage models that link the storm's wind speed, exposed population, and per capita GDP to reported losses. The separation of both socio-economic predictors strongly affects the projection of potential future hurricane losses. Separating the effects of growth in population and per-capita income, per hurricane losses with respect to national GDP are projected to triple by the end of the century under unmitigated climate change, while they are estimated to decrease slightly without the separation.

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 Datum: 2016
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1088/1748-9326/11/8/084012
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
PIKDOMAIN: Sustainable Solutions - Research Domain III
eDoc: 7263
Research topic keyword: Climate impacts
Research topic keyword: Economics
Research topic keyword: Extremes
Research topic keyword: Atmosphere
Research topic keyword: Weather
Model / method: Nonlinear Data Analysis
Regional keyword: North America
Organisational keyword: RD2 - Climate Resilience
Organisational keyword: RD3 - Transformation Pathways
Working Group: Event-based modeling of economic impacts of climate change
Working Group: Impacts of Climate Change on Human Population Dynamics
 Art des Abschluß: -

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Titel: Environmental Research Letters
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 11 (8) Artikelnummer: 084012 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150326