FN Archimer Export Format PT J TI On radar imaging of current features: 2. Mesoscale eddy and current front detection - art. no. C07017 BT AF JOHANNESSEN, J KUDRYAVTSEV, V AKIMOV, D ELDEVIK, T WINTHER, N CHAPRON, Bertrand AS 1:1,2;2:3,4;3:4;4:1,5;5:1;6:6; FF 1:;2:;3:;4:;5:;6:PDG-DOP-DCB-OPS-LOS; C1 Nansen Environm & Remote Sensing Ctr, N-5006 Bergen, Norway. Nansen Environm & Remote Sensing Ctr, St Petersburg, Russia. Univ Bergen, Inst Geophys, Bergen, Norway. Inst Marine Hydrophys, Sevastopol, Ukraine. Bjerknes Ctr Climate Res, Bergen, Norway. Inst Francais Rech Exploitat Mer, Plouzane, France. C2 NERSC, NORWAY NERSC, RUSSIA UNIV BERGEN, NORWAY INST MARINE HYDROPHYS, UKRAINE BCCR, NORWAY IFREMER, FRANCE SI BREST SE PDG-DOP-DCB-OPS-LOS IN WOS Ifremer jusqu'en 2018 copubli-europe copubli-int-hors-europe copubli-sud IF 2.784 TC 61 UR https://archimer.ifremer.fr/doc/2005/publication-1352.pdf LA English DT Article DE ;Mesoscale feature detection;Imaging radar model AB [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. PY 2005 PD JUN SO JGR - Oceans SN 0148-0227 PU American Geophysical Union VL 110 IS C7 UT 000230919100003 DI 10.1029/2004JC002802 ID 1352 ER EF