Enhancements to NDBC's Digital Directional Wave Module

Riley, Rodney; Teng, Chung-Chu; Bouchard, Richard; Dinoso, Richard; Mettlach, Theodore

doi:10.23919/oceans.2011.6107025

Cited by 8 publications

(6 citation statements)

References 1 publication

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“…It is a controlled balance between removing noise without removing real energy. Following a better assessment of the tapering off of low frequency noise in an acceleration spectrum, NOAA/NDBC has modified their noise correction algorithms (Riley et al, 2011). This can have non-trivial consequences.…”

Section: -Buoysmentioning

confidence: 99%

Wave modelling in coastal and inner seas

Cavaleri

Abdalla

Benetazzo

et al. 2018

Progress in Oceanography

175

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In the long term development of the research on wind waves and their modelling, the present situation is framed with a short look at the past, a critical analysis of the present capabilities and a foresight of where the field is likely to go. After a short introduction, Chapter 2 deals with the basic processes at work and their modelling aspects. Chapter 3 highlights the interaction with wind and currents. Chapter 4 stresses the need for a more complete, spectral, approach in data assimilation. Chapter 5 summarizes the situation with a discussion on the present status in wave modelling and a look at what we can expect in the future.

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Section: -Buoysmentioning

confidence: 99%

Wave modelling in coastal and inner seas

Cavaleri

Abdalla

Benetazzo

et al. 2018

Progress in Oceanography

175

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“…This work uses the National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) wave data as they provide one of the longest time series of observational wave data that currently exists. Over the decades, NDBC have developed and refined new moored buoy platforms, sensors, processing protocols and modelling algorithms to improve quality in their wave measurements while responding to increasing demands for providing long-term, high-quality, continuous observational data (Earle et al, 1984(Earle et al, , 1999Steele et al, 1985Steele et al, , 1992NDBC, 2003;Riley et al, 2011;Riley and Bouchard, 2015). However, these data are known to contain discontinuities within the long time series data, which many have identified and attempted to correct (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…Multiple works have comprehensively described NDBC's collection methodology, applied calibration techniques and processing protocols for non-directional and directional wave measurements (e.g. Earle et al, 1984Earle et al, , 1999Steele et al, 1985Steele et al, , 1992NDBC, 2003;Riley et al, 2011;Riley and Bouchard, 2015). Although NDBC has predominantly used the same wave parameter definitions and equations throughout its history, shore side quality control procedures and collection platforms have advanced through the decades.…”

Section: Moored Ndbc Buoy Datamentioning

confidence: 99%

Wave power trends along the U.S. coastline: in situ measurements and model hindcast estimates

2022

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Observational data are successfully assessed to investigate wave power (wave energy flux per unit of wave-crest) trends within four coastal regions around the US, a parameter that is deemed vital to those responsible for coastal protection and community resilience. This study tests for shifting observational inter-annual wave power trends using a newly developed, unique, United States Army Corps of Engineers Quality Controlled Consistent Measurement Archive, and offers a viable methodology to remove documented observational time series data discontinuations. This study is one of the first to show spatially and temporally comparative observational and model wave power results, providing new information on the accuracy of model wave power estimates, while showcasing in situ wave power trends at 29 sites around the U.S. coastline. Overall, the majority of the eastern Pacific Ocean and Hawaii wave power trends are downward, with mixed slope wave power trends apparent within the Atlantic Ocean and the Gulf of Mexico. Observational and model results are similar with respect to timing, but not magnitude, of wave power peaks in long-term inter-annual trends, with the moored buoy data presenting smaller wave power ranges for two (eastern Pacific Ocean and Hawaii) of the four regions. Additionally, the detection of a noticeable variability in the wave power trend direction within each region suggests that site-specific wave power trends should not be generalised to represent a large region. This work demonstrates that observational data are essential in local and regional wave climate studies to accurately estimate wave power for coastal planners and engineers.

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“…These new platforms minimize the need for large vessels, and increase the number of buoys able to be transported during a scheduled cruise. Wave measurement sensors have migrated to small computer chip systems (Teng and Bouchard, 2005;Teng et al, 2009;Riley et al, 2011). With the advent of the smaller hulls, improved battery packs, less power required and new compact sensor packages, changes are being made to the super-structure configuration of NDBC buoys as shown in Figure 12.…”

Section: In Situ Observationsmentioning

confidence: 99%

Observing Sea States

et al. 2019

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Sea state information is needed for many applications, ranging from safety at sea and on the coast, for which real time data are essential, to planning and design needs for infrastructure that require long time series. The definition of the wave climate and its possible evolution requires high resolution data, and knowledge on possible drift in the observing system. Sea state is also an important climate variable that enters in air-sea fluxes parameterizations. Finally, sea state patterns can reveal the intensity of storms and associated climate patterns at large scales, and the intensity of currents at small scales. A synthesis of user requirements leads to requests for spatial resolution at kilometer scales, and estimations of trends of a few centimeters per decade. Such requirements cannot be met by observations alone in the foreseeable future, and numerical wave models can be combined with in situ and remote sensing data to achieve the required resolution. As today's models are far from perfect, observations are critical in providing forcing data, namely winds, currents and ice, and validation data, in particular for frequency and direction information, and extreme wave heights. In situ and satellite observations are particularly critical for the correction and calibration of significant wave heights to ensure the stability of model time series. A number of developments are underway for extending the capabilities of satellites and in situ observing systems. These include the generalization of directional measurements, an easier exchange of moored buoy data, the measurement of waves on drifting buoys, the evolution of satellite altimeter technology, and the measurement of directional wave spectra from satellite radar instruments. For each of these observing systems, the stability of the data is a very important issue. The combination of the different data sources, including numerical models, can help better fulfill the needs of users.

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Enhancements to NDBC's Digital Directional Wave Module

Cited by 8 publications

References 1 publication

Wave modelling in coastal and inner seas

Wave modelling in coastal and inner seas

Wave power trends along the U.S. coastline: in situ measurements and model hindcast estimates

Observing Sea States

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