Wave Measurements From Radar Tide Gauges

Fiorentino, Laura; Heitsenrether, Robert; Krug, Warren

doi:10.3389/fmars.2019.00586

Cited by 5 publications

(15 citation statements)

References 6 publications

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“…Acoustic Doppler Current Profilers with pressure sensors can be deployed either on the sea bed, and/or within the intertidal zone to measure waves by combining information on water velocity and pressure data to derive wave information, but they are expensive (~USD 20,000-30,000). Radar reflection [11] and terrestrial LiDAR [12] can also be used to derive wave data, although they need to be mounted on suitable vertical structures at the shoreline or to existing infrastructure, e.g., piers.…”

Section: Measuring Wavesmentioning

confidence: 99%

“…The power spectral density of GNSS buoy tidal elevations (Figure 12) show that for tidal cycle A, the resultant peak frequency corresponds to a wave period of 5.3 s, whereas tidal cycle B has a peak frequency corresponding to a wave period of 5.1 s. 4). The significant wave heights were estimated by calculating four times the square root of the area from under the peak of spectral density [11] between the frequency bands 0.5 and 0.125 Hz. 4).…”

Section: Wave Characteristicsmentioning

confidence: 99%

“…4). The significant wave heights were estimated by calculating four times the square root of the area from under the peak of spectral density [11] between the frequency bands 0.5 and 0.125 Hz.…”

Section: Wave Characteristicsmentioning

confidence: 99%

mentioning

confidence: 99%

“…Figure13a-dshows the power spectral density results from the Cleveleys wave buoy over two-hour periods before and after high water for comparison with the GNSS buoy (see Table4). The significant wave heights were estimated by calculating four times the square root of the area from under the peak of spectral density[11] between the frequency bands 0.5 and 0.125 Hz.The GNSS buoy results compare well with the Cleveleys wave buoy data, giving similar significant wave heights and spectral peak periods. Significant wave height differences vary between 0.0 and 0.3 m; however, in general they are a very close match and indicate that the GNSS buoy is capable of measuring waves as well as a commercial wave buoy.…”

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confidence: 99%

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Beach Deployment of a Low-Cost GNSS Buoy for Determining Sea-Level and Wave Characteristics

et al. 2021

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Spatially explicit data on tidal and waves are required as part of coastal monitoring applications (e.g., radar monitoring of coastal change) for the design of interventions to mitigate the impacts of climate change. A deployment over two tidal cycles of a low-cost Global Navigation Satellite System (GNSS) buoy at Rossall (near Fleetwood), UK demonstrated the potential to record good quality sea level and wave data within the intertidal zone. During each slack water and the following ebb tide, the sea level data were of good quality and comparable with data from nearby tide gauges on the national tide gauge network. Moreover, the GNSS receiver was able to capture wave information and these compared well with data from a commercial wave buoy situated 9.5 km offshore. Discontinuities were observed in the elevation data during flood tide, coincident with high accelerations and losing satellite signal lock. These were probably due to strong tidal currents, which, combined with spilling waves, would put the mooring line under tension and allow white water to spill over the antenna resulting in the periodic loss of GNSS signals, hence degrading the vertical solutions.

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Section: Measuring Wavesmentioning

confidence: 99%

Section: Wave Characteristicsmentioning

confidence: 99%

Section: Wave Characteristicsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Beach Deployment of a Low-Cost GNSS Buoy for Determining Sea-Level and Wave Characteristics

et al. 2021

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A Split-Type FMICW-Based Guided Wave Radar With Multisegmental Probe for Liquid Level Measurement

Zhao

Zhang

et al. 2022

IEEE Sensors J.

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An Approach to Approximate Wave Height from Acoustic Tide Gauges

Kirk

Dusek

Tissot

et al. 2022

Journal of Atmospheric and Oceanic Technology

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The demand for nearshore wave observations is increasing due to spatial gaps and the importance of observations for accurate models and better understanding of inundation processes. Here, we show how water level (WL) standard deviation (sigma, σ) measurements at three acoustic NOAA tide gauges that utilize an Aquatrak sensor (Duck, NC, Bob Hall Pier (BHP) in Corpus Christi, TX, and Lake Worth, FL) can be used as a proxy for significant wave height (Hm0). Sigma derived Hm0 is calibrated to best fit nearby wave observations and error is quantified through RMSE, normalized RMSE (NRMSE), bias, and a scatter index. At Duck and Lake Worth, a quadratic fit of sigma to nearby wave observations results in a R2 of 0.97 and 0.83, RMSE of 0.11 m and 0.11 m, and NRMSE of 0.09 and 0.22, respectively. A linear fit between BHP sigma and Hm0 is best resulting in R2 0.62, RMSE of 0.22, and NRMSE of 0.26. Regression fits deviate across NOAA stations and from the classic relationship of Hm0 = 4σ, indicating Hm0 cannot be accurately estimated with this approach at these Aquatrak sites. The dynamic water level (DWL = still WL ± 2σ) is calculated over the historic time series showing climatological and seasonal trends in the stations’ daily maximums. The historical DWL and sigma wave proxy could be calculated for many NOAA tide gauges dating back to 1996. These historical wave observations can be used to fill observational spatial gaps, validate models, and improve understanding of wave climates.

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Wave Measurements From Radar Tide Gauges

Cited by 5 publications

References 6 publications

Beach Deployment of a Low-Cost GNSS Buoy for Determining Sea-Level and Wave Characteristics

Beach Deployment of a Low-Cost GNSS Buoy for Determining Sea-Level and Wave Characteristics

A Split-Type FMICW-Based Guided Wave Radar With Multisegmental Probe for Liquid Level Measurement

An Approach to Approximate Wave Height from Acoustic Tide Gauges

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