Evidence map›Paper›PMID 40470169›Full record

ArticleCommunications earth & environment2025

Land-based sensors reveal high frequency of coastal flooding.

Miyuki Hino, Katherine Anarde, Tessa Fridell, Ryan McCune, Thomas Thelen, Elizabeth Farquhar, Perri Woodard, Anthony Whipple

Abstract read
In one paragraph

Article in Communications earth & environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Coastal flooding at predictable hours.Nature communications · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Miyuki HinoUniversity of North Carolina at Chapel Hill, Chapel Hill, NC USA.ORCID 0000-0001-9369-5769
Katherine AnardeNorth Carolina State University, Raleigh, NC USA.ORCID 0000-0003-2586-0587
Tessa FridellUniversity of North Carolina at Chapel Hill, Chapel Hill, NC USA.ORCID 0009-0004-4242-655X
Ryan McCuneNorth Carolina State University, Raleigh, NC USA.ORCID 0000-0003-4774-7411
Thomas ThelenNorth Carolina State University, Raleigh, NC USA.ORCID 0000-0003-2993-6446
Elizabeth FarquharNorth Carolina State University, Raleigh, NC USA.ORCID 0009-0008-2809-0614
Perri WoodardNorth Carolina State University, Raleigh, NC USA.ORCID 0009-0005-4983-1336
Anthony WhippleUniversity of North Carolina at Chapel Hill, Chapel Hill, NC USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal flooding is occurring more frequently due to global sea-level rise, among other factors. However, current understanding of coastal flood frequency and sea-level rise impacts is predominantly based on tide gauges, which do not measure water levels on land. Here, we present data from a novel network of land-based flood sensors in the state of North Carolina, USA. We demonstrate that tide-gauge data are poor indicators of flooding: floods occur 26-128 days annually, an order of magnitude greater than what regional tide gauges suggest in some places. Improving the accuracy of coastal flood measures is critical for identifying the impacts of sea-level rise and developing effective adaptation strategies.

Indexed as

Environmental sciencesHydrologyNatural hazardsOcean sciences

Identifiers

PMID40470169
PMCPMC12129808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.