AN IMPROVED COMPOSITE SURFACE MODEL FOR THE RADAR BACKSCATTERING CROSS-SECTION OF THE OCEAN SURFACE .1. THEORY OF THE MODEL AND OPTIMIZATION VALIDATION BY SCATTEROMETER DATA/

Citation
R. Romeiser et al., AN IMPROVED COMPOSITE SURFACE MODEL FOR THE RADAR BACKSCATTERING CROSS-SECTION OF THE OCEAN SURFACE .1. THEORY OF THE MODEL AND OPTIMIZATION VALIDATION BY SCATTEROMETER DATA/, J GEO RES-O, 102(C11), 1997, pp. 25237-25250
Citations number
41
Categorie Soggetti
Oceanografhy
Journal title
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
ISSN journal
21699275 → ACNP
Volume
102
Issue
C11
Year of publication
1997
Pages
25237 - 25250
Database
ISI
SICI code
2169-9275(1997)102:C11<25237:AICSMF>2.0.ZU;2-N
Abstract
An improved composite surface model for the calculation of the normali zed radar backscattering cross section (NRCS) of the ocean surface at moderate incidence angles is presented. The model is based on Bragg sc attering theory. A Taylor expansion of the NRCS in the two-dimensional surface slope yields nonzero second-order terms which represent a fir st approximation for the effect of the geometric and hydrodynamic modu lation of the Bragg scattering facets by all waves that are long compa red to these facets. The corresponding expectation value of the NRCS v aries with the wave, height spectral density of all these waves, and i t depends in a well-defined way on frequency, polarization, incidence angle, and azimuthal look direction of the radar. We show that measure d NRCS values at frequencies ranging from 1 GHz (L band) through 34 GH z (K-a band) and wind speeds between 2 and 20 m/s can be well reproduc ed by the proposed model after some reasonable tuning of the input oce an wave spectrum. Also, polarization effects and upwind/downwind diffe rences of the NRCS appear to be relatively well represented. The model can thus be considered as an advanced wind scatterometer model which is based on physical principles rather than on empirical relationships . The most promising field of application, however, will be the calcul ation of NRCS variations associated with local distortions of the wave spectrum by surface current gradients or wind effects.