Sea Surface Roughness Observed by High Resolution Radar
Changes in sea surface roughness are usually associated with a change in the sea surface wind field. This interaction has been exploited to measure sea surface wind speed by scatterometry. A number of features on the sea surface associated with changes in roughness can be observed by synthetic apert...
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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (202 p.) |
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| 100 | 1 | |a Li, Xiaofeng |4 auth | |
| 245 | 1 | 0 | |a Sea Surface Roughness Observed by High Resolution Radar |
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| 300 | |a 1 electronic resource (202 p.) | ||
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| 520 | |a Changes in sea surface roughness are usually associated with a change in the sea surface wind field. This interaction has been exploited to measure sea surface wind speed by scatterometry. A number of features on the sea surface associated with changes in roughness can be observed by synthetic aperture radar (SAR) because of the change in Bragg backscatter of the radar signal by damping of the resonant ocean capillary waves. With various radar frequencies, resolutions, and modes of polarization, sea surface features have been analyzed in numerous campaigns, bringing various datasets together, thus allowing for new insights into small-scale processes at a larger areal coverage. This Special Issue aims at investigating sea surface features detected by high spatial resolution radar systems, such as SAR. | ||
| 546 | |a English | ||
| 653 | |a dispersion curve filtering | ||
| 653 | |a Synthetic Aperture Radar | ||
| 653 | |a RADARSAT Constellation Mission (RCM) | ||
| 653 | |a marine X-band radar | ||
| 653 | |a compact polarization (CP) | ||
| 653 | |a cross-polarization | ||
| 653 | |a proper orthogonal decomposition | ||
| 653 | |a rain | ||
| 653 | |a right circular horizontal polarization model | ||
| 653 | |a support vector machines | ||
| 653 | |a Sentinel-1 | ||
| 653 | |a wind speed | ||
| 653 | |a wave height | ||
| 653 | |a hurricane | ||
| 653 | |a ocean surface waves | ||
| 653 | |a SMAP | ||
| 653 | |a Copernicus | ||
| 653 | |a synthetic aperture radar | ||
| 653 | |a co-polarized phase difference | ||
| 653 | |a synthetic aperture radar (SAR) | ||
| 653 | |a oceans | ||
| 653 | |a fetch- and duration-limited wave growth relationships | ||
| 653 | |a Wake detection | ||
| 653 | |a air-sea interaction | ||
| 653 | |a phase-resolved wave fields | ||
| 653 | |a wind | ||
| 653 | |a SAR | ||
| 653 | |a CoVe-Pol and CoHo-Pol models | ||
| 653 | |a Baltic Sea | ||
| 653 | |a wind retrieval | ||
| 653 | |a ocean surface wind speed retrieval | ||
| 653 | |a CMEMS | ||
| 653 | |a detectability model | ||
| 653 | |a right circular vertical polarization model | ||
| 653 | |a hurricane internal dynamical process | ||
| 653 | |a ocean winds | ||
| 653 | |a polarimetry | ||
| 653 | |a sea surface roughness | ||
| 653 | |a eyewall replacement cycles | ||
| 653 | |a GF-3 | ||
| 653 | |a dual-polarization | ||
| 653 | |a quad-polarized SAR | ||
| 653 | |a typhoon/hurricane-generated wind waves | ||
| 653 | |a coast and ocean observation | ||
| 653 | |a radar | ||
| 653 | |a geophysical model function (GMF) | ||
| 653 | |a Doppler radar | ||
| 776 | |z 3-03921-746-1 | ||
| 700 | 1 | |a Fujimura, Atsushi |4 auth | |
| 700 | 1 | |a Soloviev, Alex |4 auth | |
| 700 | 1 | |a Lehner, Susanne |4 auth | |
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:53:39 Europe/Vienna |f system |c marc21 |a 2020-02-01 22:26:53 Europe/Vienna |g false | ||
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