Long-term Archive of the DUCK94 Nearshore Field Experiment Data

Birkemeier, William A.; Hathaway, Kent K.; Sinha, Ravi; Edoh, Kossi; Amin, Awatif; Kulkarni, Krishna

doi:10.21236/ada630859

Cited by 5 publications

(9 citation statements)

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“…The US Army Engineer Research and Development Center's Field Research Facility (FRF), part of the Coastal and Hydraulic Laboratory (CHL), is a coastal observatory with a 560 m research pier located near the town of Duck, NC, on the Atlantic coast of the United States. The facility was established in 1977 to support field investigations in the coastal sciences and has since been the site of a large number of coastal field studies (e.g., [2,[35][36][37]. The FRF maintains a number of permanentlydeployed in situ instruments and remote sensors that provide continuous hydrodynamic and morphodynamic data to the coastal community.…”

Section: Field Sitementioning

confidence: 99%

“…Traditional in situ measurement and survey techniques generally provide spatially sparse datasets, which often fail to capture the spatial variability in wave and current fields, bathymetry, and beach morphology necessary to understand and properly characterize many of these processes [1]. These data collection methods are also primarily deployed over relatively short time periods (days to months, in the case of fixed instruments) (e.g., [2]) or at a low temporal resolution (monthly to yearly, in the case of surveying) (e.g., [3]) because of financial or logistical constraints. These approaches limit the utility of these datasets to assess longer-term change (months to decades) at the time scales needed (seconds to days) to improve our physics-based understanding of coastline evolution.…”

Section: Introductionmentioning

confidence: 99%

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Continuous Coastal Monitoring with an Automated Terrestrial Lidar Scanner

O’Dea

Brodie

Hartzell

2019

JMSE

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This paper details the collection, geo-referencing, and data processing algorithms for a fully-automated, permanently deployed terrestrial lidar system for coastal monitoring. The lidar is fixed on a 4-m structure located on a shore-backing dune in Duck, North Carolina. Each hour, the lidar collects a three-dimensional framescan of the nearshore region along with a 30-min two-dimensional linescan time series oriented directly offshore, with a linescan repetition rate of approximately 7 Hz. The data are geo-referenced each hour using a rigorous co-registration process that fits 11 fixed planes to a baseline scan to account for small platform movements, and the residual errors from the fit are used to assess the accuracy of the rectification. This process decreased the mean error (defined as the magnitude of the offset in three planes) over a two-year period by 24.41 cm relative to using a fixed rectification matrix. The automated data processing algorithm then filters and grids the data to generate a dry-beach digital elevation model (DEM) from the framescan along with hourly wave runup, hydrodynamic, and morphologic statistics from the linescan time series. The lidar has collected data semi-continuously since January 2015 (with gaps occurring while the lidar was malfunctioning or being serviced), resulting in an hourly data set spanning four years as of January 2019. Examples of data products and potential applications spanning a range of spatial and temporal scales relevant to coastal processes are discussed.

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Section: Field Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Continuous Coastal Monitoring with an Automated Terrestrial Lidar Scanner

O’Dea

Brodie

Hartzell

2019

JMSE

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“…In addition to compare the models with experimental dataset, the model is verified using field data from the Duck 94 experiment which was conducted at the U.S. Army Field Research Facility at Duck, North Carolina, USA in the fall of 1994 (Birkemeier and Thornton 1994). Figure 7 shows the schematic view of the Duck 94 experimental field.…”

Section: Comparison Of the Model With Field Dataset In Terms Of Spectramentioning

confidence: 99%

A Model in Frequency Domain for Transformation of Fully Dispersive Nonlinear Waves

Ardani¹,

Kaihatu²

2018

Int. Conf. Coastal. Eng.

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In this study, mathematical derivation and numerical verification of a wave transformation model in frequency domain is discussed. This wave model is fully dispersive and nonlinear; and is derived based on the WKB assumptions. Transforming the problem into the frequency domain and using multiple scale analysis in space and perturbation theory, the model is expanded up to second order in wave steepness. This fully dispersive nonlinear wave model is a set of evolution equations which explicitly contains quadratic near-resonant interactions. The comparison between the presented model, the existing fully dispersive model and a nearshore model with different set of laboratory and field data shows that the presented model provides significant improvements particularly at higher frequencies.

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“…The simulated time series concern positions prior to, over and past a breaker-bar (Fig. 12) for two experimental conditions, one in a large-scale experiment (Sancho et al, 2001) and another in the field (DUCK94 campaign, Birkemeier and Thornton, 1994).…”

Section: Simulation Of Measured Velocity Time Seriesmentioning

confidence: 99%

“…The second data set corresponds to the DUCK94 nearshore field experiment (Birkemeier and Thornton, 1994), performed by the Coastal and Hydraulics Laboratory of the U.S. Army Corps of Engineers at its Field Research Facility located in Duck, North Carolina (U.S.A.). This experiment provided high quality real data, aimed at understanding the complex phenomena associated with sand transport under waves and currents, and beach morphological evolution.…”

Section: Simulation Of Measured Velocity Time Seriesmentioning

confidence: 99%