How are Atlantic basin-wide hurricane activity and economic losses related?
Abstract The authors investigate the statistical relationships between interannual variations in economic losses from Tropical Cyclones (TCs), basin-wide metrics of TC activity, and indicators of large-scale climate variability in the North Atlantic basin. The results show substantial and statistica...
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crioppubl:10.1088/2752-5295/aca118 2024-06-02T08:11:19+00:00 How are Atlantic basin-wide hurricane activity and economic losses related? Hemmati, Mona Camargo, Suzana J Sobel, Adam H Swiss Re Foundation 2022 http://dx.doi.org/10.1088/2752-5295/aca118 https://iopscience.iop.org/article/10.1088/2752-5295/aca118 https://iopscience.iop.org/article/10.1088/2752-5295/aca118/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research: Climate volume 1, issue 2, page 021002 ISSN 2752-5295 journal-article 2022 crioppubl https://doi.org/10.1088/2752-5295/aca118 2024-05-07T13:56:16Z Abstract The authors investigate the statistical relationships between interannual variations in economic losses from Tropical Cyclones (TCs), basin-wide metrics of TC activity, and indicators of large-scale climate variability in the North Atlantic basin. The results show substantial and statistically significant correlations between the economic losses and some seasonal TC activity metrics, namely the accumulated cyclone energy and power dissipation index. These results suggest that accurate seasonal forecasts of these metrics can be taken as relevant to potential TC losses, even though the metrics in question do not take into account whether storms make landfall, let alone where they do so. The authors suggest that the degree of correlation obtained might be considered a baseline against which to measure some aspects of the performance of catastrophe models. Article in Journal/Newspaper North Atlantic IOP Publishing Environmental Research: Climate 1 2 021002 |
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Abstract The authors investigate the statistical relationships between interannual variations in economic losses from Tropical Cyclones (TCs), basin-wide metrics of TC activity, and indicators of large-scale climate variability in the North Atlantic basin. The results show substantial and statistically significant correlations between the economic losses and some seasonal TC activity metrics, namely the accumulated cyclone energy and power dissipation index. These results suggest that accurate seasonal forecasts of these metrics can be taken as relevant to potential TC losses, even though the metrics in question do not take into account whether storms make landfall, let alone where they do so. The authors suggest that the degree of correlation obtained might be considered a baseline against which to measure some aspects of the performance of catastrophe models. |
author2 |
Swiss Re Foundation |
format |
Article in Journal/Newspaper |
author |
Hemmati, Mona Camargo, Suzana J Sobel, Adam H |
spellingShingle |
Hemmati, Mona Camargo, Suzana J Sobel, Adam H How are Atlantic basin-wide hurricane activity and economic losses related? |
author_facet |
Hemmati, Mona Camargo, Suzana J Sobel, Adam H |
author_sort |
Hemmati, Mona |
title |
How are Atlantic basin-wide hurricane activity and economic losses related? |
title_short |
How are Atlantic basin-wide hurricane activity and economic losses related? |
title_full |
How are Atlantic basin-wide hurricane activity and economic losses related? |
title_fullStr |
How are Atlantic basin-wide hurricane activity and economic losses related? |
title_full_unstemmed |
How are Atlantic basin-wide hurricane activity and economic losses related? |
title_sort |
how are atlantic basin-wide hurricane activity and economic losses related? |
publisher |
IOP Publishing |
publishDate |
2022 |
url |
http://dx.doi.org/10.1088/2752-5295/aca118 https://iopscience.iop.org/article/10.1088/2752-5295/aca118 https://iopscience.iop.org/article/10.1088/2752-5295/aca118/pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Environmental Research: Climate volume 1, issue 2, page 021002 ISSN 2752-5295 |
op_rights |
http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/2752-5295/aca118 |
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Environmental Research: Climate |
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1 |
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2 |
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021002 |
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1800757418849730560 |