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LOCAL UNIFIED MODELS OF BACKSCATTERING FROM OCEAN-LIKE SURFACES AT MODERATE INCIDENCE ANGLES

DERIVATION:. q. Down- wind. Up- wind. f. VV, n=0. VV, n=0. VV, n=0. VV, n=0. HH, n=0. HH, n=0. HH, n=0. HH, n=0. VV, n=2. VV, n=2. VV, n=2. VV, n=2. HH, n=2. HH, n=2. HH, n=2. HH, n=2. LOCAL UNIFIED MODELS OF BACKSCATTERING

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LOCAL UNIFIED MODELS OF BACKSCATTERING FROM OCEAN-LIKE SURFACES AT MODERATE INCIDENCE ANGLES

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  1. DERIVATION: q Down- wind Up- wind f VV, n=0 VV, n=0 VV, n=0 VV, n=0 HH, n=0 HH, n=0 HH, n=0 HH, n=0 VV, n=2 VV, n=2 VV, n=2 VV, n=2 HH, n=2 HH, n=2 HH, n=2 HH, n=2 LOCAL UNIFIED MODELS OF BACKSCATTERING FROM OCEAN-LIKE SURFACES AT MODERATE INCIDENCE ANGLES N. Pinel and C. Bourlier IREENA Laboratory, Fédération CNRS Atlanstic Polytech'Nantes, Rue Christian Pauc, BP 50609, 44306 Nantes Cedex 3, France christophe.bourlier@univ-nantes.fr • AIM: To rapidly derive the backscattering NRCS of ocean-like Gaussian surfaces from local unified models (SSA-2, LCA, …) • Unified models require the computation of 4 (2 spatial and 2 frequency) numerical integrations • From backscattering measurements, we have: • Use of the azimuthal property over f to efficiently compute the series coefficients sn(q,u) First-order kernel (SSA-1, LCA-1, …) Second-order kernel (SSA-2, LCA-2, …) with with • Only 1 numerical integration over r • N1(q) depends only on the kernel • Sea height autocorrelation function: • Qz = 2Kcosq • A = 1/(pQ2z) • {Jn, In}: Bessel functions and with • More complex than the first-order kernel • Only 2 numerical integrations over {r, x} • Gs expressed from a Fourier series of G: • Sea height spectrum: Bourlier et al., WRCM, 2009 Voronovich et al., WRCM, 2001 Wentz et al., JGR, 1984 Quilfen et al., JGR, 1998 NUMERICAL RESULTS: BNRCS versus the observation angle f f = 14 GHz, u10 = 5 m/s f = 14 GHz, u10 = 10 m/s f = 5.3 GHz, u10 = 10 m/s • For VV, SSA11 ≈ SSA11 + SSA12  The second-order SSA12 is negligible • For HH, SSA11 < SSA11 + SSA12  The second-order SSA12 contributes • For VV, LCA11 < LCA11 + LCA1  The second-order LCA12 contributes • For HH, LCA11 << LCA11 + LCA12  The second-order LCA12 strongly contributes • For HH and n=0, LCA and SSA under-predict the data  steep waves contribution • For n=2 and 0q 20°, overestimation of the BNRCS  sea spectrum OPTMIZATION OF THE INTEGRATION COMPUTATION OVER x: s12/s11 versus q LCA: MP2 provides All the contributing wavenumbers MP1: x=1.66kp MP2: x[0.5;1.5]kB MP3: MP1 + MP2 Computing time: • 1s without optimization • 0.1s with optimization SSA: MP3 provides all the contributing wavenumbers RADAR’09 – International Radar Conference “Surveillance for a safer world”October 12-16, 2009 | Bordeaux, France

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