Long-term trend of satellite-observed significant wave height and impact on ecosystem in the East/Japan Sea

Woo, Hye-Jin; Park, Kyung-Ae

doi:10.1016/j.dsr2.2016.09.003

Cited by 17 publications

(6 citation statements)

References 54 publications

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“…The 2D ocean surface was simulated by using the 2D PM wave spectrum as the spectral model, as shown in Figure 3a,b. These results are based on Equations (5) and (6). The ocean surface area size is 1024 m × 1024 m, which can be adjusted according to the actual needs, but it is recommended to set the area size to the power of two to facilitate the subsequent FFT.…”

Section: Analysis Of the Single-sar Imaging Simulation Resultsmentioning

confidence: 99%

“…Altimeters and scatterometers are highly susceptible to the underwater terrain when observing waves. Although altimeters provide uniform, repetitive measurements of the significant wave height (SWH), other wave parameters, such as the mean wave period, cannot be observed by altimeters [5,6]. Scatterometers are most prominent for the observation of surface winds over global oceans instead of ocean waves [7].…”

Section: Introductionmentioning

confidence: 99%

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Research on a Method for Simulating Multiview Ocean Wave Synchronization Data by Networked SAR Satellites

Wan

Zhang

Dai

et al. 2019

JMSE

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It is expected that the problem of the azimuth cutoff wavelength in single-satellite synthetic aperture radar (SAR) observations can be solved by means of the cooperative observation of networked SAR satellites. Multiview SAR wave synchronization data are required in the process. However, most of the current orbiting satellites are geosynchronous orbit satellites; the simultaneous observation by multiple SARs in the same sea area cannot be achieved, and multiview synchronization data cannot be obtained. Therefore, this paper studies the simulation of the multiview SAR wave synchronization data. Ocean wave spectra were simulated by using the Pierson Moskowitz (PM) spectrum. The Monte Carlo method was used to simulate two-dimensional (2D) ocean surfaces at different wind speeds. The two-scale electromagnetic scattering model was used to calculate the ocean surface backscattering coefficient, and the time-domain echo algorithm was used to generate echo signals. The echo signals were processed by the Range-Doppler (RD) imaging algorithm to obtain ocean SAR data. Based on the obtained single-SAR wave data, networked satellites consisting of three SARs were simulated, and the SAR wave data were synchronized. The results show that when SARs are used to observe the same sea area from different observation directions, the clarity of the wave fringes in the SAR images are different. For different azimuth angles, the degrees of azimuth cutoff are different. These results reflect the influences of different degrees of azimuth cutoff on SAR images. The simulated wave synchronization data can be used as the basic data source for subsequent azimuth cutoff wavelength compensation.

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Section: Analysis Of the Single-sar Imaging Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on a Method for Simulating Multiview Ocean Wave Synchronization Data by Networked SAR Satellites

Wan

Zhang

Dai

et al. 2019

JMSE

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“…In the present study, it was noted that the hindcast data displayed linear trends in H s that were relatively small, which provides some justification for using a stationary approach. A possible line of future research might be to perform a more formal analysis of the degree of nonstationarity using, e.g., the nonparametric Mann-Kendall test and also considering additional wave parameters such as the wave period or high monthly percentiles of H s (see, e.g., in [65,66]).…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Environmental Contour Approaches to Estimating Extreme Waves for Offshore Installations for the Baltic Sea and the North Sea

Wrang

Katsidoniotaki

Nilsson

et al. 2021

JMSE

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At the stage of design load analysis for offshore installations such as wave energy systems, a critical step is the determination of environmental cases to be evaluated for the definition of the characteristic design load. A commonly used methodology for load case selection, applied in multiple studies and recommended by technical specifications and guidelines, is the environmental contour approach. Here, 50-year environmental contours were generated for four study sites located in the North Sea, Skagerrak and the Baltic Sea by considering both observations and hindcast (model) data. For the construction of the contours, the well-established inverse first-order method (I-FORM) and a modified version using principal component analysis (PCA) were both examined. Furthermore, a 2-dimensional peaks-over-threshold (2D POT) method was evaluated. It was found that a version of the regular I-FORM was able to produce satisfactory contours which properly accounted for the highest waves. When using PCA, the dependency in the data was not properly captured by the probability functions under consideration. The 2D POT method, where applicable, was found to underestimate the extreme sea states. Comparisons between contours obtained from observations and hindcast data showed that the contours may differ substantially depending on the site and method, and thus care must be exercised when using hindcast data for such purposes.

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“…The Northwest Pacific has a variety of ocean and atmospheric phenomena that cause the spatial and temporal variability of SWH, as shown in the long-term mean of satellite SWH data from 1992 to 2016 (Figure 1a,b). Previous studies have reported an increasing trend for SHW as well as extreme SWH values corresponding to the upper 1% in the Northwest Pacific (e.g., [36]). In addition, as shown in Figure 1c,d, the Northwest Pacific is a region with one of the highest frequencies of high-intensity tropical cyclones [37].…”

Section: Introductionmentioning

confidence: 93%

“…In addition, to improve accuracy and consistency, corrections of each altimeter SWH data were also performed by Queffeulou and Croizé-Fillon [42] by the comparison of satellite data with in situ measurements or an intercomparison between altimeter data. In the Northwest Pacific, these altimeter SWH data were validated to be about 0.1 m in terms of bias and 0.3 m in terms of the root-mean-square error (RMSE) [36]. Table 1.…”

Section: Satellite Datamentioning

confidence: 99%

Estimation of Extreme Significant Wave Height in the Northwest Pacific Using Satellite Altimeter Data Focused on Typhoons (1992–2016)

Woo

Park

2021

Remote Sensing

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The estimation of extreme ocean wave heights is important for understanding the ocean’s response to long-term changes in the ocean environment and for the effective coastal management of potential disasters in coastal areas. In order to estimate extreme wave height values in the Northwest Pacific Ocean, a 100-year return period were calculated by applying a Peak over Threshold (PoT) method to satellite altimeter SWH data from 1992 to 2016. Satellite altimeter SWH data were validated using in situ measurements from the Ieodo Ocean Research Station (IORS) south of Korea and the Donghae buoy of the Korea Meteorological Administration (KMA) off the eastern coast of Korea. The spatial distribution and seasonal variations of the estimated 100-year return period SWHs in the Northwest Pacific Ocean were presented. To quantitatively analyze the suitability of the PoT method in the Northwest Pacific, where typhoons frequently occur, the estimated 100-year return period SWHs were compared by classifying the regions as containing negligible or significant typhoon effects. Seasonal variations of extreme SWHs within the upper limit of 0.1% and the PoT-based extreme SWHs indicated the effect of typhoons on the high SWHs in the East China Sea and the southern part of the Northwest Pacific during summer and fall. In addition, this study discusses the limitations of satellite altimeter SWH data in the estimation of 100-year extreme SWHs.

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Long-term trend of satellite-observed significant wave height and impact on ecosystem in the East/Japan Sea

Cited by 17 publications

References 54 publications

Research on a Method for Simulating Multiview Ocean Wave Synchronization Data by Networked SAR Satellites

Research on a Method for Simulating Multiview Ocean Wave Synchronization Data by Networked SAR Satellites

Comparative Analysis of Environmental Contour Approaches to Estimating Extreme Waves for Offshore Installations for the Baltic Sea and the North Sea

Estimation of Extreme Significant Wave Height in the Northwest Pacific Using Satellite Altimeter Data Focused on Typhoons (1992–2016)

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