FN Archimer Export Format
PT J
TI On the Use of Dual Co-polarized Radar Data to Derive a Sea Surface Doppler Model—Part 1: Approach
BT 
AF Kudryavtsev, Vladimir
   Fan, Shengren
   Zhang, Biao
   Chapron, Bertrand
   Johannessen, Johnny A.
   Moiseev, Artem
AS 1:1;2:2;3:2;4:3;5:4;6:4;
FF 1:;2:;3:;4:PDG-ODE-LOPS-SIAM;5:;6:;
C1 Russian State Hydrometeorological University, St. Petersburg, Russia
   School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China
   Laboratoire d’Océanographie Physique et Spatiale, IFREMER, 29280 Plouzané, France
   Nansen Environmental and Remote Sensing Center, Bergen, Norway
C2 UNIV RUSSIAN STATE HYDROMETEOROL, RUSSIA
   UNIV NANJING, CHINA
   IFREMER, FRANCE
   NERSC, NORWAY
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-europe
   copubli-int-hors-europe
   copubli-sud
IF 8.2
TC 4
UR https://archimer.ifremer.fr/doc/00816/92777/106237.pdf
LA English
DT Article
DE ;Sea surface;Radar;Surface waves;Scattering;Modulation;Doppler radar;Radar scattering;Dual co-polarized decomposition;radar Doppler velocity (DV);radar geophysical model functions (GMFs);tilt and hydrodynamic modulations
AB This paper proposes a Doppler velocity (DV) model based on dual co-polarized (co-pol) decomposition of a normalized radar cross-section of an ocean surface on polarized Bragg scattering and nonpolarized (NP) radar returns from breaking wave components. The dual co-pol decomposition provides a quantitative description of resonant and NP scattering, as well as their dependence on the incident angle, azimuth, and wind speed. Subsequently, the contributions of the facet (resonant Bragg waves and breakers) velocities, tilt, and hydrodynamic modulations due to long waves to the resulting DV can be quantified. The tilt modulation contributions to DV are estimated using the measured/empirical tilt modulation transfer function (MTF). The hydrodynamic modulations are mostly dominated by wave breaking and are estimated using a semiempirical model based on in situ measurements. In addition to the VV and HH radar data, which are required for dual co-pol decomposition and tilt MTF estimates, the surface wave spectrum is required in the DV determination for a given radar observation geometry. In this paper, qualitative and quantitative consistencies are presented between the model simulations and the empirical CDOP model. In a companion paper, DV analysis is presented to analyze the Sentinel-1 synthetic aperture radar measurements and collocated in situ measurements of surface wind and wave spectra. 
PY 2023
SO Ieee Transactions On Geoscience And Remote Sensing
SN 0196-2892
PU Institute of Electrical and Electronics Engineers (IEEE)
VL 61
IS 4201013
UT 000992306700014
BP 1
EP 13
DI 10.1109/TGRS.2023.3235829
ID 92777
ER

EF