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Hurricane annual cycle controlled by both seeds and genesis probability

Understanding tropical cyclone (TC) climatology is a problem of profound societal significance and deep scientific interest. The annual cycle is the biggest radiatively forced signal in TC variability, presenting a key test of our understanding and modeling of TC activity. TCs over the North Atlanti...

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Autores principales: Yang, Wenchang, Hsieh, Tsung-Lin, Vecchi, Gabriel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522279/
https://www.ncbi.nlm.nih.gov/pubmed/34611020
http://dx.doi.org/10.1073/pnas.2108397118
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author Yang, Wenchang
Hsieh, Tsung-Lin
Vecchi, Gabriel A.
author_facet Yang, Wenchang
Hsieh, Tsung-Lin
Vecchi, Gabriel A.
author_sort Yang, Wenchang
collection PubMed
description Understanding tropical cyclone (TC) climatology is a problem of profound societal significance and deep scientific interest. The annual cycle is the biggest radiatively forced signal in TC variability, presenting a key test of our understanding and modeling of TC activity. TCs over the North Atlantic (NA) basin, which are usually called hurricanes, have a sharp peak in the annual cycle, with more than half concentrated in only 3 mo (August to October), yet existing theories of TC genesis often predict a much smoother cycle. Here we apply a framework originally developed to study TC response to climate change in which TC genesis is determined by both the number of pre-TC synoptic disturbances (TC “seeds”) and the probability of TC genesis from the seeds. The combination of seeds and probability predicts a more consistent hurricane annual cycle, reproducing the compact season, as well as the abrupt increase from July to August in the NA across observations and climate models. The seeds-probability TC genesis framework also successfully captures TC annual cycles in different basins. The concise representation of the climate sensitivity of TCs from the annual cycle to climate change indicates that the framework captures the essential elements of the TC climate connection.
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spelling pubmed-85222792021-10-27 Hurricane annual cycle controlled by both seeds and genesis probability Yang, Wenchang Hsieh, Tsung-Lin Vecchi, Gabriel A. Proc Natl Acad Sci U S A Physical Sciences Understanding tropical cyclone (TC) climatology is a problem of profound societal significance and deep scientific interest. The annual cycle is the biggest radiatively forced signal in TC variability, presenting a key test of our understanding and modeling of TC activity. TCs over the North Atlantic (NA) basin, which are usually called hurricanes, have a sharp peak in the annual cycle, with more than half concentrated in only 3 mo (August to October), yet existing theories of TC genesis often predict a much smoother cycle. Here we apply a framework originally developed to study TC response to climate change in which TC genesis is determined by both the number of pre-TC synoptic disturbances (TC “seeds”) and the probability of TC genesis from the seeds. The combination of seeds and probability predicts a more consistent hurricane annual cycle, reproducing the compact season, as well as the abrupt increase from July to August in the NA across observations and climate models. The seeds-probability TC genesis framework also successfully captures TC annual cycles in different basins. The concise representation of the climate sensitivity of TCs from the annual cycle to climate change indicates that the framework captures the essential elements of the TC climate connection. National Academy of Sciences 2021-10-12 2021-10-05 /pmc/articles/PMC8522279/ /pubmed/34611020 http://dx.doi.org/10.1073/pnas.2108397118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Yang, Wenchang
Hsieh, Tsung-Lin
Vecchi, Gabriel A.
Hurricane annual cycle controlled by both seeds and genesis probability
title Hurricane annual cycle controlled by both seeds and genesis probability
title_full Hurricane annual cycle controlled by both seeds and genesis probability
title_fullStr Hurricane annual cycle controlled by both seeds and genesis probability
title_full_unstemmed Hurricane annual cycle controlled by both seeds and genesis probability
title_short Hurricane annual cycle controlled by both seeds and genesis probability
title_sort hurricane annual cycle controlled by both seeds and genesis probability
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522279/
https://www.ncbi.nlm.nih.gov/pubmed/34611020
http://dx.doi.org/10.1073/pnas.2108397118
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