Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
Article
Article Title | Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models |
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ERA Journal ID | 211335 |
Article Category | Article |
Authors | Lavender, Sally L. (Author), Walsh, Kevin J. E. (Author), Caron, Louis-Philippe (Author), King, Malcolm (Author), Monkiewicz, Sam (Author), Guishard, Mark (Author), Zhang, Qiong (Author) and Hunt, barrie (Author) |
Journal Title | Science Advances |
Journal Citation | 4 (8), pp. 1-8 |
Article Number | 6509 |
Number of Pages | 8 |
Year | 2018 |
Publisher | American Association for the Advancement of Science (AAAS) |
Place of Publication | United States |
ISSN | 2375-2548 |
Digital Object Identifier (DOI) | https://doi.org/10.1126/sciadv.aat6509 |
Web Address (URL) | https://advances.sciencemag.org/content/4/8/eaat6509 |
Abstract | Using millennia-long climate model simulations, favorable environments for tropical cyclone formation are examined to determine whether the record number of tropical cyclones in the 2005 Atlantic season is close to the maximum possible number for the present climate of that basin. By estimating both the mean number of tropical cyclones and their possible year-to-year random variability, we find that the likelihood that the maximum number of storms in the Atlantic could be greater than the number of events observed during the 2005 season is less than 3.5%. Using a less restrictive comparison between simulated and observed climate with the internal variability accounted for, this probability increases to 9%; however, the estimated maximum possible number of tropical cyclones does not greatly exceed the 2005 total. Hence, the 2005 season can be used as a risk management benchmark for the maximum possible number of tropical cyclones in the Atlantic. |
Keywords | hurricanes; maximum likelihood estimation; risk management; storms; tropics; climate model simulations; internal variability; North Atlantic; random variability; tropical cyclone; climate models |
ANZSRC Field of Research 2020 | 370108. Meteorology |
370202. Climatology | |
Byline Affiliations | Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia |
University of Melbourne | |
Barcelona Supercomputing Centre, Spain | |
Bermuda Institute of Ocean Sciences, Bermuda | |
Stockholm University, Sweden | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q51y3/estimation-of-the-maximum-annual-number-of-north-atlantic-tropical-cyclones-using-climate-models
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