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Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency
Nine in ten major outages in the US have been caused by hurricanes. Long-term outage risk is a function of climate change-triggered shifts in hurricane frequency and intensity; yet projections of both remain highly uncertain. However, outage risk models do not account for the epistemic uncertainties...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499252/ https://www.ncbi.nlm.nih.gov/pubmed/32943685 http://dx.doi.org/10.1038/s41598-020-72207-z |
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author | Alemazkoor, Negin Rachunok, Benjamin Chavas, Daniel R Staid, Andrea Louhghalam, Arghavan Nateghi, Roshanak Tootkaboni, Mazdak |
author_facet | Alemazkoor, Negin Rachunok, Benjamin Chavas, Daniel R Staid, Andrea Louhghalam, Arghavan Nateghi, Roshanak Tootkaboni, Mazdak |
author_sort | Alemazkoor, Negin |
collection | PubMed |
description | Nine in ten major outages in the US have been caused by hurricanes. Long-term outage risk is a function of climate change-triggered shifts in hurricane frequency and intensity; yet projections of both remain highly uncertain. However, outage risk models do not account for the epistemic uncertainties in physics-based hurricane projections under climate change, largely due to the extreme computational complexity. Instead they use simple probabilistic assumptions to model such uncertainties. Here, we propose a transparent and efficient framework to, for the first time, bridge the physics-based hurricane projections and intricate outage risk models. We find that uncertainty in projections of the frequency of weaker storms explains over 95% of the uncertainty in outage projections; thus, reducing this uncertainty will greatly improve outage risk management. We also show that the expected annual fraction of affected customers exhibits large variances, warranting the adoption of robust resilience investment strategies and climate-informed regulatory frameworks. |
format | Online Article Text |
id | pubmed-7499252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74992522020-09-22 Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency Alemazkoor, Negin Rachunok, Benjamin Chavas, Daniel R Staid, Andrea Louhghalam, Arghavan Nateghi, Roshanak Tootkaboni, Mazdak Sci Rep Article Nine in ten major outages in the US have been caused by hurricanes. Long-term outage risk is a function of climate change-triggered shifts in hurricane frequency and intensity; yet projections of both remain highly uncertain. However, outage risk models do not account for the epistemic uncertainties in physics-based hurricane projections under climate change, largely due to the extreme computational complexity. Instead they use simple probabilistic assumptions to model such uncertainties. Here, we propose a transparent and efficient framework to, for the first time, bridge the physics-based hurricane projections and intricate outage risk models. We find that uncertainty in projections of the frequency of weaker storms explains over 95% of the uncertainty in outage projections; thus, reducing this uncertainty will greatly improve outage risk management. We also show that the expected annual fraction of affected customers exhibits large variances, warranting the adoption of robust resilience investment strategies and climate-informed regulatory frameworks. Nature Publishing Group UK 2020-09-17 /pmc/articles/PMC7499252/ /pubmed/32943685 http://dx.doi.org/10.1038/s41598-020-72207-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Alemazkoor, Negin Rachunok, Benjamin Chavas, Daniel R Staid, Andrea Louhghalam, Arghavan Nateghi, Roshanak Tootkaboni, Mazdak Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
title | Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
title_full | Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
title_fullStr | Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
title_full_unstemmed | Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
title_short | Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
title_sort | hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499252/ https://www.ncbi.nlm.nih.gov/pubmed/32943685 http://dx.doi.org/10.1038/s41598-020-72207-z |
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