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Emergence timescales for detection of anthropogenic climate change in US tropical cyclone loss data

Bibliographic Data

ID15545668
AuthorsRyan P Crompton (Macquarie University, corresponding author), Roger A Pielke (0000-0002-9617-8764, University of Colorado Boulder), Roger A Pielke Jr, K John McAneney (Macquarie University)
Year2011
Volume6
Issue1
Pages014003-014003
Publication date2011-01-01
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/6/1/014003
OpenAlexW2171309782
LanguageEN
Citations received10
References cited10

Recent reviews have concluded that efforts to date have yet to detect or attribute an anthropogenic climate change influence on Atlantic tropical cyclone (of at least tropical storm strength) behaviour and concomitant damage. However, the possibility of identifying such influence in the future cannot be ruled out. Using projections of future tropical cyclone activity from a recent prominent study we estimate the time that it would take for anthropogenic signals to emerge in a time series of normalized US tropical cyclone losses. Depending on the global climate model(s) underpinning the projection, emergence timescales range between 120 and 550 years, reflecting a large uncertainty. It takes 260 years for an 18-model ensemble-based signal to emerge. Consequently, under the projections examined here, the detection or attribution of an anthropogenic signal in tropical cyclone loss data is extremely unlikely to occur over periods of several decades (and even longer). This caution extends more generally to global weather-related natural disaster losses

Atlantic hurricane · Climate change · Climatology · Cyclone (programming language · Geography · Meteorology · Range (aeronautics · Storm · Tropical cyclone · Tropical cyclone rainfall forecasting · Tropical cyclone scales · Climate variability and models · Computer Science · Environmental Science · Ocean Waves and Remote Sensing · Tropical and Extratropical Cyclones Research · Geology · Oceanography

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Citations per year0.67
Citation span2011 - 2025 (15)
Highly citedNo

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