Assessment of Ocean Swell Height Observations from Sentinel-1A/B Wave Mode against Buoy In Situ and Modeling Hindcasts

Wang, He; Mouche, Alexis; Husson, Romain; Grouazel, Antoine; Chapron, Bertrand; Yang, Jingsong

doi:10.3390/rs14040862

Cited by 14 publications

(4 citation statements)

References 39 publications

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“…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%

Monitoring Coastal Waves with ICESat-2

Dietrich,

Magruder,

Holwill

2023

JMSE

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The coastal zone faces an ever-growing risk associated with climate-driven change, including sea level rise and increased frequency of extreme natural hazards. Often the location and dynamism of coastal regions makes them a formidable environment to adequately study with in-situ methods. In this study we use Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) to make measurements of basic wave parameters and wave directionality in the coastal zones of the Hawaiian Islands and North Carolina, USA. Our goal was to leverage as much of the full resolution data available in the ATL03 data product to generate wave metrics out from shore up to ~25 km. Using a combination of statistical and signal processing methods, including cross-correlation and wavelets, we can use ICESat-2 to generate basic wave metrics, including significant wave heights with an accuracy of ±0.5 m. In some profiles we can identify wave shoaling, which could be useful to infer bathymetry and coastal dynamics. In areas with complex wave dynamics, the nature of how ICESat-2 measures elevations (parallel laser altimetry beams) can make extracting some wave parameters, especially wavelength and directionality, more challenging. These wave metrics can provide important data in support of validating wave and tidal models and may also prove useful in extended ICESat-2 applications like bathymetric corrections and satellite-derived bathymetry.

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Section: Basic Wave Metricsmentioning

confidence: 99%

Monitoring Coastal Waves with ICESat-2

Dietrich,

Magruder,

Holwill

2023

JMSE

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“…Wang et al [15] evaluated the accuracy of Sentinel-1A swell data from April 2016 to February 2017 based on WW3. The results show that the overall observation error of Sentinel-1A is low, and the significant wave height (SWH) observed at WV2 angle is higher than that at WV1 with a systematic deviation of 0.22 m. Wang et al [16] evaluated the accuracy of Sentinel-1 swell segmentation spectra wave height from June 2016 to June 2020 based on the WW3 and NDBC buoy wave spectra data. The results show that the swell wave height error of the Sentinel-1 wave mode is about 0.2 m. However, most of the developed evaluations of the Sentinel-1 wave mode data is based on the wave segmentation spectra and it cannot reflect the actual wave conditions represented by the total wave spectra.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Evaluation of Ocean Wave Spectra from Sentinel-1 SAR Based on Buoy Observations and ERA5 Data

Sun,

Yang,

Cui

2024

Remote Sensing

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Doppler mis-registrations in azimuth can lead to ocean waves shorter than a specific wavelength being undetectable by SAR. In order to evaluate the actual ocean wave observation ability, the accuracy of Sentinel-1 SAR ocean wave spectra from January 2016 to December 2021 is evaluated by comparisons to NDBC buoys, ERA5 wave height, and CMEMS buoys. The results compared with NDBC show that the spectral shape of Sentinel-1 SAR ocean wave spectra is accurate, while the spectral values need to be improved. The wave spectra of Sentinel-1 have the best observations in season autumn. The comparison results of total wave height show the RMSE and bias are 0.91 m and −0.52 m for the comparisons to NDBC buoy wave spectra data, 0.93 m and −0.68 m for the comparison to ERA5 wave height data, and 0.9 m and −0.35 m for the comparisons to CMEMS buoy data. The comparison results of wave height in different wind speeds and areas shows that the accuracy of Sentinel-1 wave mode data is relatively good in the open ocean located in middle and low latitude area under the medium wind speed, while those are relatively poor in high latitude areas or the areas with excessively high or low wind speed.

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“…This technique has been widely investigated in previous studies [2][3][4], and it can provide swell height data at global coverage and climate scales; however, the spatial resolution of the existing satellite altimeter is limited. Synthetic aperture radar (SAR) altimetry data have become a new source for swell monitoring [5,6], as well as for swell heigh measurement [7][8][9]. However, this kind of observation is sparse in both time and space.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Swell Height Using Spaceborne GNSS-R Data from Eight CYGNSS Satellites

Park

et al. 2022

Remote Sensing

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Global Navigation Satellite System (GNSS)-Reflectometry (GNSS-R) technology has opened a new window for ocean remote sensing because of its unique advantages, including short revisit period, low observation cost, and high spatial-temporal resolution. In this article, we investigated the potential of estimating swell height from delay-Doppler maps (DDMs) data generated by spaceborne GNSS-R. Three observables extracted from the DDM are introduced for swell height estimation, including delay-Doppler map average (DDMA), the leading edge slope (LES) of the integrated delay waveform (IDW), and trailing edge slope (TES) of the IDW. We propose one modeling scheme for each observable. To improve the swell height estimation performance of a single observable-based method, we present a data fusion approach based on particle swarm optimization (PSO). Furthermore, a simulated annealing aided PSO (SA-PSO) algorithm is proposed to handle the problem of local optimal solution for the PSO algorithm. Extensive testing has been performed and the results show that the swell height estimated by the proposed methods is highly consistent with reference data, i.e., the ERA5 swell height. The correlation coefficient (CC) is 0.86 and the root mean square error (RMSE) is 0.56 m. Particularly, the SA-PSO method achieved the best performance, with RMSE, CC, and mean absolute percentage error (MAPE) being 0.39 m, 0.92, and 18.98%, respectively. Compared with the DDMA, LES, TES, and PSO methods, the RMSE of the SA-PSO method is improved by 23.53%, 26.42%, 30.36%, and 7.14%, respectively.

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Assessment of Ocean Swell Height Observations from Sentinel-1A/B Wave Mode against Buoy In Situ and Modeling Hindcasts

Cited by 14 publications

References 39 publications

Monitoring Coastal Waves with ICESat-2

Monitoring Coastal Waves with ICESat-2

Accuracy Evaluation of Ocean Wave Spectra from Sentinel-1 SAR Based on Buoy Observations and ERA5 Data

Estimation of Swell Height Using Spaceborne GNSS-R Data from Eight CYGNSS Satellites

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