A lidar method for determining internal wave characteristics
An analytical model of lidar imaging of pycnoclinic internal waves (IWs) is developed. The IW image is shown to represent a superposition of two images: reflective and shadow. The former reflects perturbations in the profile of the light backscattering coefficient in the IW field, and the latter ref...
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| Veröffentlicht in: | Izvestiya. Atmospheric and oceanic physics Jg. 48; H. 4; S. 444 - 453 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Dordrecht
SP MAIK Nauka/Interperiodica
01.07.2012
Springer Nature B.V |
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| ISSN: | 0001-4338, 1555-628X |
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| Abstract | An analytical model of lidar imaging of pycnoclinic internal waves (IWs) is developed. The IW image is shown to represent a superposition of two images: reflective and shadow. The former reflects perturbations in the profile of the light backscattering coefficient in the IW field, and the latter reflects perturbations in the optical thickness of the water layer, in which the IW disturbed the horizontal uniformity of optical characteristics. Algorithms for reconstructing the IW field from these images are proposed. It is shown that the shadow image, unlike the reflective one, is insensitive to fine details of the profiles of hydrooptical characteristics and can be used for determining IW parameters on the basis of very rough data on optical properties of water. The possibility of determining the mode composition as well as the lengths and amplitudes of IW modes is demonstrated by using the Barents Sea as an example and invoking actual and simultaneously measured profiles of the water density and light attenuation coefficient. |
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| AbstractList | An analytical model of lidar imaging of pycnoclinic internal waves (IWs) is developed. The IW image is shown to represent a superposition of two images: reflective and shadow. The former reflects perturbations in the profile of the light backscattering coefficient in the IW field, and the latter reflects perturbations in the optical thickness of the water layer, in which the IW disturbed the horizontal uniformity of optical characteristics. Algorithms for reconstructing the IW field from these images are proposed. It is shown that the shadow image, unlike the reflective one, is insensitive to fine details of the profiles of hydrooptical characteristics and can be used for determining IW parameters on the basis of very rough data on optical properties of water. The possibility of determining the mode composition as well as the lengths and amplitudes of IW modes is demonstrated by using the Barents Sea as an example and invoking actual and simultaneously measured profiles of the water density and light attenuation coefficient. An analytical model of lidar imaging of pycnoclinic internal waves (IWs) is developed. The IW image is shown to represent a superposition of two images: reflective and shadow. The former reflects perturbations in the profile of the light backscattering coefficient in the IW field, and the latter reflects perturbations in the optical thickness of the water layer, in which the IW disturbed the horizontal uniformity of optical characteristics. Algorithms for reconstructing the IW field from these images are proposed. It is shown that the shadow image, unlike the reflective one, is insensitive to fine details of the profiles of hydrooptical characteristics and can be used for determining IW parameters on the basis of very rough data on optical properties of water. The possibility of determining the mode composition as well as the lengths and amplitudes of IW modes is demonstrated by using the Barents Sea as an example and invoking actual and simultaneously measured profiles of the water density and light attenuation coefficient.[PUBLICATION ABSTRACT] |
| Author | Dolin, L. S. Savel’ev, V. A. Dolina, I. S. |
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| DOI | 10.1134/S0001433812040068 |
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| References | Dolin, Savel’ev (CR10) 1979; 22 CR6 CR8 Lisitsyn, Vinogradov, Romankevich (CR12) 2001 Hoge, Wright, Krabill (CR1) 1988; 27 Levin, Kopelevich (CR11) 2007; 47 Bravo-Zhivotovskii, Dolin, Savel’ev (CR5) 1987 Vasilkov, Goldin, Gureev (CR2) 2001; 40 Gossard, Hooke (CR13) 1975 Churnside, Donaghay (CR3) 2009; 66 Dolin, Dolina, Savel’ev (CR7) 2007 Churnside, Ostrovsky (CR4) 2005; 26 Dolin, Levin (CR9) 1991 E. E. Gossard (6321_CR13) 1975 L. S. Dolin (6321_CR10) 1979; 22 J. H. Churnside (6321_CR3) 2009; 66 6321_CR8 I. M. Levin (6321_CR11) 2007; 47 6321_CR6 L. S. Dolin (6321_CR9) 1991 J. H. Churnside (6321_CR4) 2005; 26 P. A. Vasilkov (6321_CR2) 2001; 40 L. S. Dolin (6321_CR7) 2007 F. E. Hoge (6321_CR1) 1988; 27 D. M. Bravo-Zhivotovskii (6321_CR5) 1987 (6321_CR12) 2001 |
| References_xml | – start-page: 84 year: 1987 end-page: 125 ident: CR5 article-title: Optical Methods for Ocean Diagnostics. Laser Remote Sensing publication-title: Remote Methods for Ocean Studies – year: 1991 ident: CR9 publication-title: Handbook on the Theory of Underwater Vision – volume: 22 start-page: 1310 issue: 11 year: 1979 end-page: 1317 ident: CR10 article-title: On the Theory of Propagation of a Thin Light Beam in a Stratified Scattering Medium publication-title: Izv. Vyssh. Uchebn. Zaved., Radiofiz. – volume: 47 start-page: 344 issue: 3 year: 2007 end-page: 348 ident: CR11 article-title: Correlations between Primary Hydrooptical Characteristics in the 550 nm Range publication-title: Okeanologiya – year: 2001 ident: CR12 publication-title: Experiments on Integral Oceanologic Investigations in the Arctic – volume: 27 start-page: 3969 issue: 19 year: 1988 end-page: 3977 ident: CR1 article-title: Airborne Lidar Detection of Subsurface Oceanic Scattering Layers publication-title: Appl. Opt. doi: 10.1364/AO.27.003969 – start-page: 124 year: 2007 end-page: 128 ident: CR7 article-title: The Model of Lidar Images of Internal Waves publication-title: Proceedings of the 4th International Conference “Current Problems in Optics of Natural Waters” (ONW’2007), Nizhny Novgorod, Russia, September 11–15, 2007 – volume: 66 start-page: 778 issue: 4 year: 2009 end-page: 789 ident: CR3 article-title: Thin Scattering Layers Observed by Airborne Lidar publication-title: ICES J. Mar. Sci. doi: 10.1093/icesjms/fsp029 – volume: 40 start-page: 4353 issue: 24 year: 2001 end-page: 4364 ident: CR2 article-title: Airborne Polarized Lidar Detection of Scattering Layers in the Ocean publication-title: Appl. Opt. doi: 10.1364/AO.40.004353 – ident: CR6 – ident: CR8 – year: 1975 ident: CR13 publication-title: Waves in the Atmosphere – volume: 26 start-page: 167 issue: 1 year: 2005 end-page: 177 ident: CR4 article-title: Lidar Observation of a Strongly Nonlinear Wave Train in the Gulf of Alaska publication-title: Int. J. Remote Sens. doi: 10.1080/01431160410001735076 – ident: 6321_CR8 – volume-title: Experiments on Integral Oceanologic Investigations in the Arctic year: 2001 ident: 6321_CR12 – volume: 47 start-page: 344 issue: 3 year: 2007 ident: 6321_CR11 publication-title: Okeanologiya – ident: 6321_CR6 doi: 10.1109/OCEANS.1982.1151940 – volume: 66 start-page: 778 issue: 4 year: 2009 ident: 6321_CR3 publication-title: ICES J. Mar. Sci. doi: 10.1093/icesjms/fsp029 – volume: 26 start-page: 167 issue: 1 year: 2005 ident: 6321_CR4 publication-title: Int. J. Remote Sens. doi: 10.1080/01431160410001735076 – start-page: 124 volume-title: Proceedings of the 4th International Conference “Current Problems in Optics of Natural Waters” (ONW’2007), Nizhny Novgorod, Russia, September 11–15, 2007 year: 2007 ident: 6321_CR7 – volume: 27 start-page: 3969 issue: 19 year: 1988 ident: 6321_CR1 publication-title: Appl. Opt. doi: 10.1364/AO.27.003969 – start-page: 84 volume-title: Remote Methods for Ocean Studies year: 1987 ident: 6321_CR5 – volume-title: Waves in the Atmosphere year: 1975 ident: 6321_CR13 – volume: 40 start-page: 4353 issue: 24 year: 2001 ident: 6321_CR2 publication-title: Appl. Opt. doi: 10.1364/AO.40.004353 – volume: 22 start-page: 1310 issue: 11 year: 1979 ident: 6321_CR10 publication-title: Izv. Vyssh. Uchebn. Zaved., Radiofiz. – volume-title: Handbook on the Theory of Underwater Vision year: 1991 ident: 6321_CR9 |
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| SubjectTerms | Algorithms Climatology Earth and Environmental Science Earth Sciences Geophysics/Geodesy Internal waves Lidar Marine Oceanic analysis Oceans Optical properties |
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| Title | A lidar method for determining internal wave characteristics |
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