Optimization of a composite surface model for the radar backscattering cross section of the ocean surface as measured by wind scatterometers

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

A calibrated composite surface model for the calculation of absolute normalized radar backscattering cross sections (NRCS) of the ocean surface is presented. The model is based on a Taylor expansion of the NRCS, as given by Bragg scattering theory, up to second order in the surface slope. Measured NRCS values for a variety of radar frequencies, polarizations, incidence angles, azimuthal radar look directions, and wind speeds can be well reproduced after some reasonable tuning of the input ocean wave spectrum. The model can thus be considered as an advanced wind scatterometer model based on physical principles. Due to this fact it is also well suited for general applications like the calculation of NRCS variations associated with distortions of the wave spectrum in the presence of surface current gradients.

Original languageEnglish (US)
Pages597-599
Number of pages3
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Other

OtherProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
CityLincoln, NE, USA
Period5/28/965/31/96

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Optimization of a composite surface model for the radar backscattering cross section of the ocean surface as measured by wind scatterometers'. Together they form a unique fingerprint.

  • Cite this

    Romeiser, R. (1996). Optimization of a composite surface model for the radar backscattering cross section of the ocean surface as measured by wind scatterometers. 597-599. Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA, .