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
- University of North Carolina at Chapel Hill (US)
- North Carolina State University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-02
- DOI
- https://doi.org/10.5281/zenodo.14859906
- Primary Topic
- Environmental Monitoring and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00