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

Oliver E. J. Wing; Nicholas Pinter; Paul D. Bates; Carolyn Kousky

Nature Communications · 2020-03-19
Research article · Version of record retained in Europe PMC · CC BY 4.0 · 6,255 words

Original source: Volume 11 · 1444

Read article Ask paper agent

Ask this paper

Full manuscript text
Source-linked passage retrieval

Paper Agent

Agent platform credit

Dr. Freedom Cheteni · Editor in Chief

Research University Journal · JournalOS conception and editorial stewardship

https://orcid.org/0009-0006-3507-0094

This ORCID identifies the human contributor to the agent platform. Source-paper authors retain their own authorship and identifiers.

Manuscript & source record

Title: New insights into US flood vulnerability revealed from flood insurance big data
Authors / creators: Oliver E. J. Wing; Nicholas Pinter; Paul D. Bates; Carolyn Kousky
Source: Complete manuscript edition 2026-11-05
Editorial record: Attributed Creative Commons source edition. Original publication and authorship remain with the source. Hosting is not a new peer-review decision.

Searches this article’s preserved text and returns exact passages. This agent searches this article’s preserved text; it does not create investment advice.

Attribution, rights & verification

Original authors / creators: Oliver E. J. Wing; Nicholas Pinter; Paul D. Bates; Carolyn Kousky
Original publication: Nature Communications · Nature Publishing Group · 2020-03-19
Source & version: Authoritative source ↗ · Version of record retained in Europe PMC
doi:10.1038/s41467-020-15264-2
License & retained notices: CC BY 4.0
© The Author(s) 2020
Article-specific license evidence ↗
Exact license notice
https://creativecommons.org/licenses/by/4.0/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/. Article-specific XML license URL: http://creativecommons.org/licenses/by/4.0/
Edition changes: Narrative text edition with normalized whitespace. Figures, tables, display equations and separately licensed material are omitted; consult the preserved XML and original publisher for definitive content.
Evidence limits: Adjacent research, not a directly sampled family-office study. Applicability to a family office requires separate assessment. Applicability is limited to the source study setting, sample and design; it does not directly study family offices. Proposed family-office applications require separate evaluation.
Retraction / correction check: No linked notice identified in retrieved XML or Crossref relation/update-to fields. Article-specific repository XML related-article links, Crossref DOI relation/update-to fields, and a bounded publisher-page notice search where accessible; unavailable pages and unregistered/unlinked notices remain coverage limits. Verified 2026-11-05. Automated/source checks are not human peer review.
Preserved record: Rights and full text checked 2026-11-05. Included in this volume on 2026-11-05. Original source dates remain unchanged.
Download the preserved source
SHA-256 (retrieved artifact): 88c7f02d1906ecdb4fecb4c818005f2d67631acbdb84bc999700bea568081b7e
SHA-256 (preserved text edition): fefc78aff9bd628c393a4e6844210e54991db49193b48777f4bd0724b4687252