Verification of model wave heights with long-term moored buoy data: Application to wave field over the Indian Ocean

Volvaiker, Samiksha; Polnikov, V. G.; Vethamony, P.; Rashmi, R.; Погарский, Ф. А.; Sudheesh, K.

doi:10.1016/j.oceaneng.2015.05.020

Cited by 23 publications

(17 citation statements)

References 50 publications

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“…Here the main interest is to clarify the issue of unity for a set of distinguished discrete harmonics, valid in the whole IO as a single system. In this paper, all these points were considered and solved based on the wind field from the ERA‐Interim reanalysis for 1979–2015 years and the wavefield calculated earlier with the modified wind‐wave model WAM [ Samiksha et al ., ].…”

Section: Resultsmentioning

confidence: 99%

“…Since the issue of data preparation and quality verification has been discussed in the literature [see Pogarskii et al ., , and references therein], we do not dwell on this point. Note only that the both types of data correlate well with the buoy observations, and RMS errors are 10% and 15% for wind speed and wave height, respectively [ Polnikov , ; Samiksha et al ., ]. As shown in Polnikov and Pogarskii [], this provides a good correspondence between spectral shapes for S U ( ω ) and

S_{H_{S}} ((), ω)

, obtained from both the field and model data.…”

Section: Input Data Methods Of Processing and Accuracymentioning

confidence: 99%

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Spectra of long‐term series for wind speed and wave height in the Indian Ocean area

Polnikov

Pogarskiy

2017

JGR Atmospheres

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The spectra of long‐term series of wind velocity and significant wave height were built in two domains of variability scales: from 1 day to 1 year (D1) and from 1 year to 15 years (D2). Surface wind data from the ERA‐Interim reanalysis in the Indian Ocean area for the period of 1979–2015 years, and wave heights simulated with the improved WAM model, were used for this purpose. In order to study the spatial variability of the spectral shapes, spectra of wind speed and wave height were calculated at two sections located along the meridians and three sections located along latitudes with a step of 3°. For the D1 domain, the existence of three ranges of variability scales (R1, R2, and R3) are shown in which both types of spectra have the well‐defined and visibly different power‐like slopes varying in dependence on the offset from the equator. The Navier‐Stokes equations were analyzed in order to design a theoretical interpretation of the spectral shapes features found in the D1 domain. For the D2 domain, no unified system of isolated frequencies has been revealed, which is expected for the entire Indian Ocean. Among the set of selected periods, the most stable one is the variability period of around 5.5 years. Results presented in this work are discussed.

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Section: Resultsmentioning

confidence: 99%

S_{H_{S}} ((), ω)

, obtained from both the field and model data.…”

Section: Input Data Methods Of Processing and Accuracymentioning

confidence: 99%

Spectra of long‐term series for wind speed and wave height in the Indian Ocean area

Polnikov

Pogarskiy

2017

JGR Atmospheres

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“…The quality of wave prediction and analysis is also being continuously improved mainly due to the availability of high quality input wind fields for sea-state prediction with the advancement of satellite measurements/oceanography. In the Indian context, there are many reported important research contributions on wave prediction/ hindcasting using third generation wave models [2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Wave Hindcasting Using WAM and WAVEWATCH III: A Comparison Study Utilizing Oceansat-2 (OSCAT) Winds

Swain¹,

Pa²,

Balch³

et al. 2017

J Oceanogr Mar Res

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“…The numerical models have become a tool to get long-term wave information in high-resolution (spatial and temporal) in areas devoid of measurements (Appendini et al, 2014). The numerical models such as Wave Action Model (WAM) (WAMDI Group, 1988), WAVEWATCH III (WW3) (Tolman, 1991;, Simulating WAves Nearshore (SWAN) (Booij et al, 1999), MIKE21 Spectral Waves (DHI, 2011) are 20 commonly used (Chawla et al, 2007) and several wave hindcast studies were carried out in the Arabian Sea in the past (Remya et al, 2012;Sandhya et al, 2014;Samiksha et al, 2015;Amrutha et al, 2016). Recently, ocean state forecast has gained significance and has become a challenging task, considering the range of wide user community and varied demands (Amrutha et al, 2016).…”

mentioning

confidence: 99%

“…Recently, ocean state forecast has gained significance and has become a challenging task, considering the range of wide user community and varied demands (Amrutha et al, 2016). The numerical modelling studies in the Arabian Sea indicates that during the high sea states (H s > 4 m), WAM underestimates the H s by 0.5 to 1 m (12 to 25%) (Samiksha et al, 2015). After the JONSWAP field experiment 25 (Hasselmann et al, 1973) in the North Sea, many studies are conducted on the wave growth and decay in varying wind fields (e.g.…”

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confidence: 99%

Characteristics of high monsoon wind-waves observed at multiple stations in the eastern Arabian Sea

Amrutha

Kumar

2017

Preprint

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Abstract. The growth and decay of surface wind-waves during one-month period in a typical Indian summer monsoon is investigated based on the data collected at 9 to 15 m water depth at 4 locations in the nearshore waters of the eastern Arabian Sea covering a spatial distance of ~350 km. The significant wave height varied from 0.7 to 5.5 m during the data collection considered in the analysis. The heights of waves during the measurement period often exceed 3 m. The most extreme wave 10 height is 1.50 to 1.62 times the significant wave height and the most extreme crest height of the wave is 1.23 to 1.35 times the significant wave height of the same 30-minutes record. The average ratio of crest height of the wave to the height of the same wave is 0.58 to 0.67. The height of waves having maximum crest height is smaller than the maximum wave height during 30 minutes period. Measured waves are predominantly swell, but since the majority of wave generation during the monsoon is adjacent to the study area and the wind-wave coupling is strong, wave periods are rarely above 15 s. The 15 numerical wave model could estimate the wave height reasonably well during the wave growth compared to the wave decay period. Hovmöller diagrams show a considerable spatial variability in the wave and wind pattern in the Indian Ocean during the high wave event at the eastern Arabian Sea.

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Verification of model wave heights with long-term moored buoy data: Application to wave field over the Indian Ocean

Cited by 23 publications

References 50 publications

Spectra of long‐term series for wind speed and wave height in the Indian Ocean area

Spectra of long‐term series for wind speed and wave height in the Indian Ocean area

Wave Hindcasting Using WAM and WAVEWATCH III: A Comparison Study Utilizing Oceansat-2 (OSCAT) Winds

Characteristics of high monsoon wind-waves observed at multiple stations in the eastern Arabian Sea

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