Replication data and code for Hino et al., 2025. Land-based sensors reveal high frequency of coastal flooding.

This repository contains the data and code to replicate the analysis reported in Hino et al., 2025. Land-based sensors reveal high frequency of coastal flooding. Nature Communications Earth and Environment. 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 25–125 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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-02
DOI
https://doi.org/10.5281/zenodo.14859905
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
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article

Replication data and code for Hino et al., 2025. Land-based sensors reveal high frequency of coastal flooding.

Zenodo (CERN European Organization for Nuclear Research)
Tropical and Extratropical Cyclones Research
article

Replication data and code for Hino et al., 2025. Land-based sensors reveal high frequency of coastal flooding.

article en

Abstract

This repository contains the data and code to replicate the analysis reported in Hino et al., 2025. Land-based sensors reveal high frequency of coastal flooding. Nature Communications Earth and Environment. 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 25–125 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.

Zenodo (CERN European Organization for Nuclear Research)
University of North Carolina at Chapel Hill (US), North Carolina State University (US)
Openalex Percentile: Top 50%
Tropical and Extratropical Cyclones Research
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