DocumentCode
339455
Title
A comparative study of several composite surface models used to produce a wind estimation algorithm using NSCAT scatterometer data
Author
Jelenak, Zorana ; Steyn-Ross, Moira L.
Author_Institution
Dept. of Phys., Waikato Univ., Hamilton, New Zealand
Volume
3
fYear
1999
fDate
1999
Firstpage
1640
Abstract
A theoretical model function for the normalized radar backscattering cross section (NRCS) of the ocean surface used in a wind retrieval algorithm using NSCAT data is presented. The model is based on the two scale roughness model proposed by G.R. Valenzuela [1978]. The NRCS varies with both wind speed and direction when measured at moderate incidence angles. Dependence of the NRCS and wind field is incorporated into the model via an ocean wavenumber spectrum. The present authors have tested the performance of the model using four ocean wave spectra proposed in the literature: M. A. Donelan et al. [1987], T. Elfouhaily et al. [1997], J. R. Apel [1994] and R. Romeiser et al. [1997]. They have found that the overall performance of all four spectra is within rms experimental error for VV polarization. The mathematical complexity of the models proved to be of great importance in the computational calculation
Keywords
atmospheric techniques; backscatter; meteorological radar; radar cross-sections; radar theory; remote sensing by radar; spaceborne radar; wind; NSCAT scatterometer; composite surface model; computational calculation; direction; marine atmosphere; mathematical complexity; measurement technique; normalized radar backscattering cross section; ocean wave spectra; radar remote sensing; radar scattering; radar scatterometry; surface layer; theoretical model function; two scale roughness model; wind; wind estimation algorithm; wind retrieval algorithm; wind speed; Backscatter; Information retrieval; Oceans; Radar cross section; Radar theory; Rough surfaces; Sea measurements; Sea surface; Surface roughness; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location
Hamburg
Print_ISBN
0-7803-5207-6
Type
conf
DOI
10.1109/IGARSS.1999.772045
Filename
772045
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