Validation of Operational WAVEWATCH III Wave Model Against Satellite Altimetry Data Over South West Indian Ocean Off-Coast of Tanzania

Sangalugeme, Chuki; Luhunga, Philbert; Kijazi, Agness; Kabelwa, Hamza

doi:10.5539/apr.v10n4p55

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…The statistical metrics obtained are comparable to those found in other works using the WW3 model (e.g. (Sangalugeme et al, 2018;Sun et al, 2020)). However, the variation in the correlation coefficients for T p reflects the failure of the model to represent local extreme events and long period swells accurately.…”

Section: Validationsupporting

confidence: 85%

Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

2022

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The wave power in the Gulf of Mexico was analyzed, using 42 years (1979–2020) of simulated data, with ERA-5 winds to force the WAVEWATCH III wave model. The model was successfully validated with three NDBC buoys, 42,055, 42,001 and 42,002. Comparison of significant wave heights obtained from the Jason-2, Cryosat-2, and Saral satellites showed good mean correlation coefficients and root mean squares. The spatial distribution of wave power was studied, as well as its seasonal variability. The region studied has moderate availability of wave power with marked seasonality. A multi-criteria MCA approach, including both sea state and wave energy converters (WECs), was then applied. Nine virtual sites were selected for the study and the AAHPA device gave best results in 7 virtual sites and the Wavestar device in the remaining two. The technology of these two devices, a system of oscillating buoys, is the most viable technology for the Gulf of Mexico.

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Section: Validationsupporting

confidence: 85%

Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

2022

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“…However, agreement between different models does not ensure that these are reasonably accurate, since these could be affected by performance issues in dynamically difficult regions. Examples of these difficulties can be found in Shanas and Kumar, and examples of how discrepancies can be overcome by means of validation through instrumentation in Sangalugeme et al Therefore, in the absence of suitable instrumentation data, in order to obtain a basic validation of the retrieved data, as well as preliminary indications of the phenomena characterizing the area, the results derived from these data set have been compared against information available in literature. Specifically, the wind and waves distributions have been compared against the results published in Contestabile et al, and similarity between results added confidence to the accuracy of the WWIII data.…”

Section: Methodsmentioning

confidence: 99%

Assessment of extreme and metocean conditions in the Maldives for OTEC applications

et al. 2019

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Summary The Maldives is a group of tropical atolls, considered globally to be one of the most desirable holiday destinations. There is an urgent requirement to decrease their dependency on fossil fuels that are currently the main source of energy, and a number of renewable energy alternatives are being evaluated. Among these, due to the favorable oceanographic and bathymetric conditions, ocean thermal energy conversion (OTEC) systems represent a viable opportunity for clean and reliable power. However, the stresses the OTEC platform will need to endure during adverse environmental conditions are not well defined. The magnitude of these stresses will then have a direct influence on the design of the OTEC device. In order to overcome this uncertainty, this paper uses hindcast data sets from global weather and ocean models to assess the metocean conditions of the Maldives, with particular reference to extreme conditions. After selecting a suitable location for the deployment of the devices, return values calculated using the peaks‐over‐threshold (POT) methodology are estimated for wind, waves, and currents. The 100‐year return value for the significant wave height is found to be 4.5 m, with a joint occurrence of energy periods between 7.5 and 8.5 seconds, whereas the 100‐year return wind has a velocity of 17.8 m/s and the 100‐year return current of 1.9 m/s. The directionality of these extreme events is also considered, showing the southern and western sub‐quadrants as the prevailing sources, which provides essential information for positioning of the platform. Additional evaluations of tropical revolving storms (TRS) and variations in temperature and salinity patterns are also provided over a 1500‐m water column; temperature varies by approximately 24°C, and salinity by around 2 ppt, showing the suitability of OTEC platforms in the Maldives. This work is therefore of interest to offshore renewable energy stakeholders interested in developing a project in the Maldives or those conducting an analogous analysis in other locations.

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“…Satellite altimetry-derived wave heights are used more frequently in numerical wave modeling and ocean science. These observations have been used in climatological wave studies (Young & Donelan, 2018), model validation (Myslenkov & Chernyshova, 2016;Sangalugeme et al, 2018), and for assimilation into spectral wave models (Young & Glowacki, 1996). Satellite altimetry (Jason-2 and AMSR-2) has also been used to study wave-current interactions (Ardhuin et al, 2017;Quilfen et al, 2018).…”

Section: Altimetry-derived Significant Wave Heightsmentioning

confidence: 99%

Toward Operational Wave‐Current Interactions Over the Agulhas Current System

Barnes

Rautenbach

2020

JGR Oceans

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A computationally inexpensive operational wave forecasting system taking wave‐current interactions over the fast‐flowing Agulhas Current into account is explored. Spectral wave model hindcasts at 1/16 of a geographical degree are employed using the Simulating Waves in the Nearshore (SWAN) wave model. Unidirectional wave‐current coupling, with currents affecting waves, is performed using both Operational Mercator 1/12 degree (ORCA12) and GLOBCURRENT 1/4 degree currents. Comparisons between the coupled and uncoupled simulations indicate that wave amplification or lowering is highly dependent on the current magnitude and wave incident angle. In opposing current scenarios, the significant wave height can increase by 20–40% and by 60% in extreme cases. Model validation is performed using Jason‐3 satellite altimetry measurements and in situ directional wave buoy measurements. The nearshore wave directional dispersion is found to be significantly influenced by the core of the Agulhas Current. This is especially prominent in current‐following cases with wave‐current direction differences of up to 20°. The findings are all corroborated by simplistic, idealized models.

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Validation of Operational WAVEWATCH III Wave Model Against Satellite Altimetry Data Over South West Indian Ocean Off-Coast of Tanzania

Cited by 8 publications

References 8 publications

Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

Assessing wave energy converters in the gulf of Mexico using a multi-criteria approach

Assessment of extreme and metocean conditions in the Maldives for OTEC applications

Toward Operational Wave‐Current Interactions Over the Agulhas Current System

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