2023
DOI: 10.1029/2022wr032392
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Data From the Drain: A Sensor Framework That Captures Multiple Drivers of Chronic Coastal Floods

Abstract: Tide gauge water levels are commonly used as a proxy for flood incidence on land. These proxies are useful for projecting how sea‐level rise (SLR) will increase the frequency of coastal flooding. However, tide gauges do not account for land‐based sources of coastal flooding and therefore flood thresholds and the proxies derived from them likely underestimate the current and future frequency of coastal flooding. Here we present a new sensor framework for measuring the incidence of coastal floods that captures b… Show more

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Cited by 18 publications
(45 citation statements)
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“…This has subsequently been found to apply for Pacific Islands more generally (Dusek et al., 2022). The derived thresholds were also found to be too high to capture many observed flood events occuring via storm‐drain backflow mechanisms in Beaufort, North Carolina, even though storm drain water levels were well‐correlated to tide gauge observations (Gold et al., 2023).…”
Section: Discussionmentioning
confidence: 99%
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“…This has subsequently been found to apply for Pacific Islands more generally (Dusek et al., 2022). The derived thresholds were also found to be too high to capture many observed flood events occuring via storm‐drain backflow mechanisms in Beaufort, North Carolina, even though storm drain water levels were well‐correlated to tide gauge observations (Gold et al., 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, several locations on the US Southeast Atlantic, and eastern Australia (Bureau of Meteorology, 2022) have offsets of just 0.15 m between one or more flood levels. This highlights the need for the development of global flood impact databases such as those that already exist for Europe (Ciavola et al., 2018; Haigh et al., 2017) and systematic collection of impact‐based thresholds defined in national and local coastal flood studies (e.g., Ezer, 2022; Gold et al., 2023; Hague et al., 2022; Smith & Juria, 2019; Thompson et al., 2019). Further investment in LiDAR surveys will also improve the coverage of DEMs with small enough vertical errors to distinguish between floods of different severities.…”
Section: Discussionmentioning
confidence: 99%
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