2021
DOI: 10.1029/2020jc016265
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Ocean Swell Comparisons Between Sentinel‐1 and WAVEWATCH III Around Australia

Abstract: Australia is an island-continent, with one of the longest coastlines and marine exclusive economic zones in the world. It sits at the intersection of the Pacific, Indian, and Southern Oceans (SO), and is heavily influenced by the prevalent sea-state and regional climatology. Monitoring of sea-state is important for a number of reasons: (i) waves influence the coupled climate system by exchanges of heat, momentum, and gases with the atmosphere, production of foam (whitecaps, which also affect the albedo and the… Show more

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Cited by 16 publications
(7 citation statements)
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“…Observations around the Southern Ocean indicate that very broad directional distributions are common in the region, with energy spreading across a range up to ±80 • around the mean wave direction (Young et al, 2020;Derkani et al, 2021). On occasions, this is the signature of chaotic sea states, where multiple (independent) wave systems, such as wind seas plus swells coexist (Aouf et al, 2020;Khan et al, 2021;Derkani et al, 2021;Alberello et al, 2022). Theory, numerical simulations and experiments have demonstrated that these multi-system seas accelerate development of nonlinear dynamics, further contributing to the occurrence of large amplitude waves (Onorato et al, 2006;Toffoli et al, 2011).…”
Section: Surface Wavesmentioning
confidence: 99%
“…Observations around the Southern Ocean indicate that very broad directional distributions are common in the region, with energy spreading across a range up to ±80 • around the mean wave direction (Young et al, 2020;Derkani et al, 2021). On occasions, this is the signature of chaotic sea states, where multiple (independent) wave systems, such as wind seas plus swells coexist (Aouf et al, 2020;Khan et al, 2021;Derkani et al, 2021;Alberello et al, 2022). Theory, numerical simulations and experiments have demonstrated that these multi-system seas accelerate development of nonlinear dynamics, further contributing to the occurrence of large amplitude waves (Onorato et al, 2006;Toffoli et al, 2011).…”
Section: Surface Wavesmentioning
confidence: 99%
“…Our results also compare well with those produced by studies comparing Sentinel-1 data with WW3. Kahn et al [61] reported mean significant wave height errors of 0.15-0.32 m (RMSE 0.64-0.76 m) and Wang et al [62] had mean wave height errors of 0.21-0.32 m (RMSE 0.5-0.64). The sources of error in significant wave height are likely to be the result of incorrectly classified surface points affecting the standard deviation of the elevation calculation.…”
Section: Basic Wave Metricsmentioning
confidence: 99%
“…Because of the broad spatial coverage provided by radar and imaging satellite sensors like Sentinel-1, directionality is more straightforward. Khan et al [61] were able to calculate wave direction with mean errors of ~3• (RMSE ~30 • ).…”
Section: Directionalitymentioning
confidence: 99%
“…In addition, the accuracy evaluation of Sentinel-1 wave mode data has also been implemented by some researchers. Khan [14] evaluated the wave height, average wave direction and average wave period of Sentinel-1A wave spectra from July 2015 to May 2020 and Sentinel-1B wave spectra from October 2016 to May 2020. The results show that the wave height and average wave period of Sentinel-1 are in good agreement with WW3 while the accuracy of wave direction is not good.…”
Section: Introductionmentioning
confidence: 99%