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Jeff Lillycrop

Publications and source records attributed to Jeff Lillycrop.

4 recordsLinked to original sources
USGS2019

During Nearshore Event Experiment (DUNEX): A collaborative community field data collection effort

The DUring Nearshore Event eXperiment (DUNEX) is an academic, federal agency, and non-government collaborative community experiment supported by and planned under the U.S. Coastal Research Program (USCRP) to study nearshore coastal processes during storms. The motivation for DUNEX is to improve understanding, numerical representation, and prediction of storm processes and impacts; to exchange research ideas, to improve strategies for short- and long-term coastal resilience, and to develop more effective communication methods for coastal communities impacted by storms. This paper describes the DUNEX pilot study (Fall 2019) and the full experiment (Fall 2020) focused on storm measurements to be conducted along a 160-km stretch of the northern Outer Banks, North Carolina. The US Army Corps of Engineer’s Field Research Facility (FRF) will serve as the logistical base for the operation. Researchers may participate by planning and conducting an experiment, attending or leading a training session, or volunteering to assist with field work.

Conference Paper↗
USGS2019

US Costal Research Program: Fostering academic research

The US Coastal Research Program (USCRP) was founded in 2016 through a grassroots initiative of scientists, researchers, and practitioners to address nearshore coastal research priorities of greatest relevance to coastal communities and build a skilled US coastal workforce. The USCRP supports academic research to address challenges identified through thematic workshops and pair academic researchers with practitioners to ensure research findings and tools address relevant coastal management challenges. Through these partnerships, the USCRP addresses societally-relevant needs of coastal communities and nurtures the future U.S. coastal workforce. To date, the USCRP has conducted two thematic workshops and funded 13 academic research studies. Herein we provide an overview of the desired characteristics for USCRP’s academic research, summarize accomplishments from studies responding to challenges identified in the 2016 workshop on Dune Management, and provide an overview of ongoing research studies stemming from the 2018 workshop on Storm Processes and Impacts.

Conference Paper↗
USGS2006

Hurricanes 2004: An overview of their characteristics and coastal change

Four hurricanes battered the state of Florida during 2004, the most affecting any state since Texas endured four in 1884. Each of the storms changed the coast differently. Average shoreline change within the right front quadrant of hurricane force winds varied from 1 m of shoreline advance to 20 m of retreat, whereas average sand volume change varied from 11 to 66 m 3 m −1 of net loss (erosion). These changes did not scale simply with hurricane intensity as described by the Saffir-Simpson Hurricane Scale. The strongest storm of the season, category 4 Hurricane Charley, had the least shoreline retreat. This was likely because of other factors like the storm's rapid forward speed and small size that generated a lower storm surge than expected. Two of the storms, Hurricanes Frances and Jeanne, affected nearly the same area on the Florida east coast just 3 wk apart. The first storm, Frances, although weaker than the second, caused greater shoreline retreat and sand volume erosion. As a consequence, Hurricane Frances may have stripped away protective beach and exposed dunes to direct wave attack during Jeanne, although there was significant dune erosion during both storms. The maximum shoreline change for all four hurricanes occurred during Ivan on the coasts of eastern Alabama and the Florida Panhandle. The net volume change across a barrier island within the Ivan impact zone approached zero because of massive overwash that approximately balanced erosion of the beach. These data from the 2004 hurricane season will prove useful in developing new ways to scale and predict coastal-change effects during hurricanes.

Alabama, Florida, Georgia, Louisiana, Mississippi,↗