On radar imaging of current features: 2. Mesoscale eddy and current front detection
| Autor: | Vladimir Kudryavtsev, Tor Eldevik, Johnny A. Johannessen, B. Chapron, D. Akimov, Nina Gjerde Winther |
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| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
Synthetic aperture radar
Atmospheric Science 010504 meteorology & atmospheric sciences Planetary boundary layer Mesoscale meteorology Soil Science Aquatic Science Oceanography 01 natural sciences Geochemistry and Petrology Radar imaging Wind wave Earth and Planetary Sciences (miscellaneous) 14. Life underwater Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Earth-Surface Processes Water Science and Technology Remote sensing Ecology 010505 oceanography Ocean current Front (oceanography) Paleontology Breaking wave Forestry Geophysics 13. Climate action Space and Planetary Science Geology |
| Popis: | [1] The surface signatures of meandering fronts and eddies have been regularly observed and documented in synthetic aperture radar (SAR) images. Wave-current interactions, the suppression of short wind waves by natural film, and the varying wind field resulting from atmospheric boundary layer changes across an oceanic temperature front all contribute to the radar image manifestation of such mesoscale features. The corresponding imaging mechanisms are quantitatively explored using a new radar imaging model (Kudryavtsev et al., 2005) that solves the energy balance equation where wind forcing, viscous and wave breaking dissipation, wave-wave interactions, and generation of short waves by breaking waves are taken into account. High-quality and synoptic in situ observations of the surface conditions should ideally be used in this model. However, such data are rarely available. Instead, the fields of temperature and ocean current are herein derived from two distinct numerical ocean models. SAR image expressions of current fronts and eddies are then simulated based on these fields. The comparison of simulated images with European Remote Sensing (ERS) SAR and Envisat advanced SAR (ASAR) images is favorable. We consequently believe that the new radar imaging model provides promising capabilities for advancing the quantitative interpretation of current features manifested in SAR images. |
| Databáze: | OpenAIRE |
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