On the Remote Detection of Swell by Satellite Radar Altimeter

Parsons, C. L.

doi:10.1175/1520-0493(1979)107<1210:otrdos>2.0.co;2

Cited by 7 publications

(4 citation statements)

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“…Parson (1979) has developed a technique which utilises only significant wave height (SWH) and wind speed measurements available from radar altimeter data to locate the swell dominated regions of the Earth's oceans. The parameter defined by (Parson, 1979) l-= 13844(SW~/U$,), (8) decides the boundary of swell no-swell regions and although non-unique, it does depict the region of swell domination, for values of F > 50, which has been verified using GEOS data. We have used the above parameter to ensure minimum swell contribution in our data.…”

Section: Discussionmentioning

confidence: 99%

Wind-wave relationship from SEASAT radar altimeter data

Pandey

Gairola

Gohil

1986

Boundary-Layer Meteorol

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We present a nonlinear relationship between ocean surface wind at 10 m height (U,,) and significant wave height of wind-generated gravity waves, (H,,,)gw, over the open oceans using SEASAT radar altimeter data. The data represent a variety of fetches, durations and strength of winds. Concurrent measurement of significant wave height, (H,,& which may contain a measure of swell and U,, obtained from the processed geophysical data record (GDR) of the SEASAT radar altimeter were used in the analysis. The total wave energy, &, characterised by altimeter H,,3 measurements was compared with the energy of a fully developed sea, E',, derived from U,, measurements using the Pierson-Moskowitz model. The criteria ,!&, I E,,, was used in data selection to minimise the influence of swell. (H,,,)gw thus obtained was used in a regression in terms of U,, in a second-degree polynomial. Verification with independent radar altimeter data confirmed the validity of the proposed wind-wave model, which could be used for operational wave forecasting.

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Section: Discussionmentioning

confidence: 99%

Wind-wave relationship from SEASAT radar altimeter data

Pandey

Gairola

Gohil

1986

Boundary-Layer Meteorol

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“…Parsons (1979) and Mognard (1983) have attempted to use altimeter data to estimate the swell component of the waves. They do this by using the wind speed measurement to estimate the maximum H, that could be generated by that wind and noting that the remaining energy in the wavefield must be due to swell.…”

Section: Other Studiesmentioning

confidence: 99%

Wave studies with the radar altimeter

Challenor

Srokosz

1991

International Journal of Remote Sensing

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In this paper we review the physical understanding and the algorithms necessary to extract waveinformation from the radar altimeter return from the sea surface. This allows us to assess the progress made since the launch of Seasat, to identifyareas where further work is necessary in order to developour understanding of the basic mechanisms of radar interaction with the sea surface, and to suggest how new wave parameters might be obtained from the radar return. Followingon from this we review the wavestudiesthat have beencarried out using Seasat and Geosat altimeter data and present some new results, on the joint probability distribution of significant waveheight and wind speed, which we have obtained recentlyfrom Seasat data.

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“…To estimate the relationship between H ⁄ and U under wind-wave conditions, it is necessary to remove the swell-affected H ⁄ and retain the observations under pure wind-wave conditions as far as possible. Many different methods have been proposed to distinguish windwaves and swells [54][55][56][57]. In our study, the criterion applicable to satellite altimetry proposed by Pandey (1986) was used to distinguish wind-wave and swell from wave energy [29].…”

Section: Elimination Of Swell-affected H1⁄3mentioning

confidence: 99%

Wind-Wave Relationship Model and Analysis of Typhoon Wave Fields in the South China Sea From HY-2A Satellite Observations

Hao

Zhang

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Significant wave height is an important parameter for characterizing ocean surface waves. With the development of remote sensing technology, satellite radar altimetry has become an essential tool for obtaining significant wave height estimations. However, its measurement only covers the satellite track on the ground and cannot be applied to large regions or areas. In this study, we obtained significant wave height from the Hai Yang-2A (HY-2A) radar altimeter and sea surface wind speed at a 10-m height from the HY-2A microwave scatterometer for October 2013, and then proposed a wind-wave relationship model for the South China Sea using linear/nonlinear regression analysis at high/low wind speeds (0 to 40 m s-1). By comparison with two other windwave models and validation with HY-2A observations in November 2013, our results show that the proposed wind-wave relationship model is credible, and at low wind speed exhibited good consistency with the wind-wave model from in-situ observations. According to the proposed model, significant wave height from the HY-2A microwave scatterometer-retrieved wind speed and ocean wind wave analysis during the "1329" Typhoon Krosa were successfully obtained and determined. Data coverage of the computed significant wave height was far wider than that of the satellite radar altimeter observations and demonstrated development of typhoon wave fields over a large region. Overall, this study and proposed model provide useful information for the analysis and forecast of typhoon waves and potential storm surge disasters.

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On the Remote Detection of Swell by Satellite Radar Altimeter

Cited by 7 publications

References 0 publications

Wind-wave relationship from SEASAT radar altimeter data

Wind-wave relationship from SEASAT radar altimeter data

Wave studies with the radar altimeter

Wind-Wave Relationship Model and Analysis of Typhoon Wave Fields in the South China Sea From HY-2A Satellite Observations

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