Doesn't help that Trump is cutting data collection, services and staff

“Government agencies and researchers use data from tide gauges to measure water levels in coastal areas, then use that data to estimate flood frequency in the region,” says Miyuki Hino, corresponding author of a paper on the study and assistant professor of city and regional planning at UNC.
“Those estimates are used both to assess how often flooding has taken
place and to predict how often flooding may take place in the future. However,
our study shows that this approach does not accurately capture how often
flooding takes place or how long those floods last.”
“Due to sea-level rise, we’re now seeing flooding in coastal
areas outside of extreme storms like hurricanes,” says Katherine Anarde,
co-author of the paper and an assistant professor of coastal engineering at
NC State. “There can be flooding during everyday rain showers or at high
tide on sunny days. It’s important that the methodology we use to monitor and
predict flooding reflects this reality, since sea-level rise means these
flooding events are going to become even more common.
“Our research shows you need land-based measures of flooding
to capture the burden on coastal residents, which can inform policy and
planning decisions moving forward,” Anarde says.
Anarde and Hino are part of the Sunny Day Flooding Project,
a research initiative focused on improving flood monitoring, broadening our
understanding of coastal flooding, and identifying the most effective flood
mitigation strategies.
At present, there are two widely accepted “thresholds” used to infer flooding on land based on tide gauge data: the National Oceanic and Atmospheric Administration (NOAA) High Tide Flooding threshold (HTF) and the National Weather Service’s minor flood threshold (NWS). EDITOR'S NOTE: Both are being gutted in the GOP budget and by Musk-Trump DOGE cuts.
For this study, the researchers made use of data from a network of land-based sensors that their team designed to identify flooded roadways and deployed across eastern North Carolina. The researchers focused on a year of data from sensors in three communities: Beaufort, Carolina Beach and Sea Level.
During the study period, the sensors detected flooding on 26
days in Beaufort, 65 days in Carolina Beach and 128 days in Sea Level.
“These numbers were very different from what the HTF and NWS
thresholds tell us based on water levels at tide gauges,” Anarde says. “In
general, the thresholds drastically underestimated the number of floods. For
example, when you subtract floods associated with extreme storms, we recorded
flooding on 122 days in Sea Level. But if you looked at the data from the
closest tidal gauge, the NWS threshold inferred that there were 31 days of
flooding. And the HTF threshold inferred only nine days of flooding.
“However, the NWS threshold sometimes overestimates the
number of flood days,” Anarde says. “For example, Carolina Beach had 65 days of
flooding, but if you applied the NWS threshold using data from the closest
tidal gauge, it inferred that there were 120 days of flooding.”
“In addition to being inaccurate in terms of how often it is
flooding, our findings also show that the actual duration of the floods is
longer than is captured by the HTF and NWF thresholds,” Hino says.
“Essentially, the thresholds don’t adequately account for how long it takes
water to drain off of land.”
“More accurate information on coastal flooding can inform
where and how we invest resources in building more resilient communities,” says
Anarde. “It’s hard to design an efficient solution when you don’t know the
scope of the problem.”
Anarde and Hino are now working with partner communities to
identify and evaluate response strategies that can mitigate the impacts of
chronic flooding.
“Every community is unique, so there’s no one-size-fits-all
solution,” says Hino. “But with more accurate data, we can help communities
assess what response strategy is best for them, now and in the future.”
The paper, “Land-based
Sensors Reveal High Frequency of Coastal Flooding,” is published in the
open-access journal Nature Communications Earth & Environment.
The paper was co-authored by Ryan McCune and Thomas Thelen, Ph.D. students at
NC State; Elizabeth Farquhar, a research associate at NC State; Perri
Woodard, an undergraduate student at NC State; Tessa Fridell, a former
undergraduate student at UNC; and Anthony Whipple, a research technician at
UNC.
This work was done with support from the U.S. Department of
Homeland Security under grant number 2015-ST-061-ND0001-01. The views and
conclusions contained herein are those of the researchers and should not be
interpreted as necessarily representing the official policies, either expressed
or implied, of the U.S Department of Homeland Security. The work was also done
with support from North Carolina Sea Grant under institution grant
NA22OAR4170109; the National Science Foundation’s Human-Environment and Geographical
Systems Program under grant BCS-2215195; NOAA’s Climate Adaptation Partnerships
program and the Bipartisan Infrastructure Law, under grant NA23OAR4310474;
NASA, under grant 80NSSC24K0504; the North Carolina Department of
Transportation, under grant RP2024-56; the Gulf Research Program Early-Career
Research Fellowship, under award 2000013691-2022; and the Eunice Kennedy
Shriver National Institute of Child Health and Human Development, under award
5-K01-HD112604-02. The researchers also thank their community partners in the
Town of Beaufort, the Town of Carolina Beach, and the Core Sound Waterfowl
Museum and Heritage Center for their support.