New insights into US flood vulnerability revealed from flood insurance big data

Economic estimates of flood damages rely on depth–damage functions that are inadequately verified. Here, the authors assessed flood vulnerability in the US and found that current depth–damage functions consist of disparate relationships that match poorly with observations which better follow a bimod...

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Autores principales:	Oliver E. J. Wing, Nicholas Pinter, Paul D. Bates, Carolyn Kousky
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e2fc2d5d63f443099f0f7a9250d11f30
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spelling	oai:doaj.org-article:e2fc2d5d63f443099f0f7a9250d11f302021-12-02T17:31:23ZNew insights into US flood vulnerability revealed from flood insurance big data10.1038/s41467-020-15264-22041-1723https://doaj.org/article/e2fc2d5d63f443099f0f7a9250d11f302020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15264-2https://doaj.org/toc/2041-1723Economic estimates of flood damages rely on depth–damage functions that are inadequately verified. Here, the authors assessed flood vulnerability in the US and found that current depth–damage functions consist of disparate relationships that match poorly with observations which better follow a bimodal beta distribution.Oliver E. J. WingNicholas PinterPaul D. BatesCarolyn KouskyNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Oliver E. J. Wing Nicholas Pinter Paul D. Bates Carolyn Kousky New insights into US flood vulnerability revealed from flood insurance big data
description	Economic estimates of flood damages rely on depth–damage functions that are inadequately verified. Here, the authors assessed flood vulnerability in the US and found that current depth–damage functions consist of disparate relationships that match poorly with observations which better follow a bimodal beta distribution.
format	article
author	Oliver E. J. Wing Nicholas Pinter Paul D. Bates Carolyn Kousky
author_facet	Oliver E. J. Wing Nicholas Pinter Paul D. Bates Carolyn Kousky
author_sort	Oliver E. J. Wing
title	New insights into US flood vulnerability revealed from flood insurance big data
title_short	New insights into US flood vulnerability revealed from flood insurance big data
title_full	New insights into US flood vulnerability revealed from flood insurance big data
title_fullStr	New insights into US flood vulnerability revealed from flood insurance big data
title_full_unstemmed	New insights into US flood vulnerability revealed from flood insurance big data
title_sort	new insights into us flood vulnerability revealed from flood insurance big data
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/e2fc2d5d63f443099f0f7a9250d11f30
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New insights into US flood vulnerability revealed from flood insurance big data

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