Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Quantitative Research of Cutoff Wavenumber and Wave Spectrum for Electromagnetic Scattering Computation with Two-Scale Method

Version 1 : Received: 16 December 2023 / Approved: 17 December 2023 / Online: 18 December 2023 (09:11:45 CET)

How to cite: Guo, C.; Ye, H. Quantitative Research of Cutoff Wavenumber and Wave Spectrum for Electromagnetic Scattering Computation with Two-Scale Method. Preprints 2023, 2023121250. https://doi.org/10.20944/preprints202312.1250.v1 Guo, C.; Ye, H. Quantitative Research of Cutoff Wavenumber and Wave Spectrum for Electromagnetic Scattering Computation with Two-Scale Method. Preprints 2023, 2023121250. https://doi.org/10.20944/preprints202312.1250.v1

Abstract

The two-scale method (TSM) is an effective approach to simulate electromagnetic (EM) scattering from rough sea surface, to interpret physical interaction of EM wave with rough sea surfaces. The sea surface roughness spectrum and the cutoff wavenumber are two key factors affecting the accuracy of TSM simulation. This paper takes the geophysical model functions (GMFs) of different band as reference, and quantitatively studies the two factors based on the numerical simulation of different polarization backscattering coefficients. The numerical simulation demonstrates that Apel spectrum is more suitable for the backscattering simulation in C/X/Ku-band, and the optimal cutoff wavenumbers are also derived for TSM simulation of EM scattering in C/X/Ku-band. Then an empirical model function of optimal cutoff wavenumbers with respect to frequency, incident angle and wind speed are obtained with regression method. Finally, the simulation results with the new model function of cutoff wavenumber are compared with the GMF and measured data in different bands and they are all consistent. Moreover, a physical explanation for the optimal cutoff wavenumber is also given.

Keywords

rough sea surface scattering; two-scale method (TSM); cutoff wavenumber; roughness spectrum

Subject

Environmental and Earth Sciences, Remote Sensing

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