2008
DOI: 10.1080/01431160802175397
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Estimating amplitudes of internal waves using satellite ocean colour imagery of the South China Sea

Abstract: A method is presented for estimating the amplitudes of internal waves (IWs) in ocean colour imagery. The method is tested in the northern South China Sea (SCS) because the environmental conditions there are such that IWs are generated frequently and can therefore be observed easily. A relationship between satellite-derived chlorophyll concentration (chl) and the amplitudes of IWs is obtained. Using a deep chlorophyll maximum (DCM) model, the amplitude at the light penetration depth can be estimated. From theor… Show more

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Cited by 15 publications
(5 citation statements)
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References 13 publications
(13 reference statements)
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“…In fact, since 1970s, satellite imagery has provided an effective tool for detecting the ISWs in the northern SCS (Fett and Rabe 1977). Recently, European Remote Sensing (ERS) satellite 1/2 SAR, RADARSAT ScanSAR, SPOT, Landsat, IRS and NOAA AVHRR, Satellite Pour l'Observation de la Terre (SPOT) 1-5, and Envisat images from both optical and microwave sensors, including satellite ocean color products from SeaWiFS (Sea-viewing Wide Field-of-view Sensor) and MODIS (Moderate Resolution Imaging Spectroradiometer), etc., were employed widely to the study of ISWs in the SCS (e.g., Liu et al 1998;Zheng et al 2001;Liu et al 2004;Zhao et al 2004a, b;Zheng et al 2007;Chao et al 2008;Li et al 2008;Du et al 2008;Su et al 2008;Zhao et al 2008;Ho et al 2009). Based on the in situ or historical observational data concurrent with the satellite observations, the ISW parameters, such as the wave length, half width, and phase speed of the ISW could be retrieved based on the KdV equation model or a two-layer model.…”
Section: Characteristics Of the Isws From Remote Sensing In The Scsmentioning
confidence: 99%
“…In fact, since 1970s, satellite imagery has provided an effective tool for detecting the ISWs in the northern SCS (Fett and Rabe 1977). Recently, European Remote Sensing (ERS) satellite 1/2 SAR, RADARSAT ScanSAR, SPOT, Landsat, IRS and NOAA AVHRR, Satellite Pour l'Observation de la Terre (SPOT) 1-5, and Envisat images from both optical and microwave sensors, including satellite ocean color products from SeaWiFS (Sea-viewing Wide Field-of-view Sensor) and MODIS (Moderate Resolution Imaging Spectroradiometer), etc., were employed widely to the study of ISWs in the SCS (e.g., Liu et al 1998;Zheng et al 2001;Liu et al 2004;Zhao et al 2004a, b;Zheng et al 2007;Chao et al 2008;Li et al 2008;Du et al 2008;Su et al 2008;Zhao et al 2008;Ho et al 2009). Based on the in situ or historical observational data concurrent with the satellite observations, the ISW parameters, such as the wave length, half width, and phase speed of the ISW could be retrieved based on the KdV equation model or a two-layer model.…”
Section: Characteristics Of the Isws From Remote Sensing In The Scsmentioning
confidence: 99%
“…Theories are required to relate the observed quantities such as the sea surface roughness [Zheng et al, 2001] or ocean color [Su et al, 2008] to the amplitude of ISWs. The larger the ISW, the more significant the sea surface features will be.…”
Section: Special Isw Features Observed By Satellite In the Scsmentioning
confidence: 99%
“…[10] In the open sea, the surface zone can be inspected using a satellite; even though the ISW cannot be observed directly, this is still the most economical way to see an ISW. Theories are required to relate the observed quantities such as the sea surface roughness [Zheng et al, 2001] or ocean color [Su et al, 2008] to the amplitude of ISWs. The larger the ISW, the more significant the sea surface features will be.…”
Section: Special Isw Features Observed By Satellite In the Scsmentioning
confidence: 99%
“…Fortunately, we can observe the variation of chlorophyll concentration from the change of ocean color when internal waves pass by. The deep chlorophyll maximum (DCM) model has been used to demonstrate the internal tides in Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean color imagery [9], [10]. The passing of internal tides may cause the change of surface chlorophyll concentration.…”
Section: B Chlorophyll Imagerymentioning
confidence: 99%