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Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA

Coastal planners and decision makers design risk management strategies based on hazard projections. However, projections can differ drastically. What causes this divergence and which projection(s) should a decision maker adopt to create plans and adaptation efforts for improving coastal resiliency?...

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Autores principales: Ruckert, Kelsey L., Srikrishnan, Vivek, Keller, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684642/
https://www.ncbi.nlm.nih.gov/pubmed/31388022
http://dx.doi.org/10.1038/s41598-019-47587-6
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author Ruckert, Kelsey L.
Srikrishnan, Vivek
Keller, Klaus
author_facet Ruckert, Kelsey L.
Srikrishnan, Vivek
Keller, Klaus
author_sort Ruckert, Kelsey L.
collection PubMed
description Coastal planners and decision makers design risk management strategies based on hazard projections. However, projections can differ drastically. What causes this divergence and which projection(s) should a decision maker adopt to create plans and adaptation efforts for improving coastal resiliency? Using Norfolk, Virginia, as a case study, we start to address these questions by characterizing and quantifying the drivers of differences between published sea-level rise and storm surge projections, and how these differences can impact efforts to improve coastal resilience. We find that assumptions about the complex behavior of ice sheets are the primary drivers of flood hazard diversity. Adopting a single hazard projection neglects key uncertainties and can lead to overconfident projections and downwards biased hazard estimates. These results highlight key avenues to improve the usefulness of hazard projections to inform decision-making such as (i) representing complex ice sheet behavior, (ii) covering decision-relevant timescales beyond this century, (iii) resolving storm surges with a low chance of occurring (e.g., a 0.2% chance per year), (iv) considering that storm surge projections may deviate from the historical record, and (v) communicating the considerable deep uncertainty.
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spelling pubmed-66846422019-08-11 Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA Ruckert, Kelsey L. Srikrishnan, Vivek Keller, Klaus Sci Rep Article Coastal planners and decision makers design risk management strategies based on hazard projections. However, projections can differ drastically. What causes this divergence and which projection(s) should a decision maker adopt to create plans and adaptation efforts for improving coastal resiliency? Using Norfolk, Virginia, as a case study, we start to address these questions by characterizing and quantifying the drivers of differences between published sea-level rise and storm surge projections, and how these differences can impact efforts to improve coastal resilience. We find that assumptions about the complex behavior of ice sheets are the primary drivers of flood hazard diversity. Adopting a single hazard projection neglects key uncertainties and can lead to overconfident projections and downwards biased hazard estimates. These results highlight key avenues to improve the usefulness of hazard projections to inform decision-making such as (i) representing complex ice sheet behavior, (ii) covering decision-relevant timescales beyond this century, (iii) resolving storm surges with a low chance of occurring (e.g., a 0.2% chance per year), (iv) considering that storm surge projections may deviate from the historical record, and (v) communicating the considerable deep uncertainty. Nature Publishing Group UK 2019-08-06 /pmc/articles/PMC6684642/ /pubmed/31388022 http://dx.doi.org/10.1038/s41598-019-47587-6 Text en © The Author(s) 2019 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
Ruckert, Kelsey L.
Srikrishnan, Vivek
Keller, Klaus
Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA
title Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA
title_full Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA
title_fullStr Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA
title_full_unstemmed Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA
title_short Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA
title_sort characterizing the deep uncertainties surrounding coastal flood hazard projections: a case study for norfolk, va
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684642/
https://www.ncbi.nlm.nih.gov/pubmed/31388022
http://dx.doi.org/10.1038/s41598-019-47587-6
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