Title :
Non-parametric representation of the electromagnetic bias in radar altimetry
Author :
Smith, Justin D. ; Arnold, David V.
Author_Institution :
Brigham Young Univ., Provo, UT, USA
Abstract :
Most previous analyses of the electromagnetic bias have modeled the bias as parametric function of the wave height and wind speed. Recent studies using indirect electromagnetic bias estimates from the TOPEX/Poseidon altimeter support that the bias is modeled better with a non-parametric (NP) representation. This method essentially consists of estimating the bias for each wave height and wind speed point on a two-dimensional grid and using statistical smoothing methods to generate a bias estimate contour. The authors have applied different nonparametric analysis methods to the six months of direct electromagnetic bias measurements collected from an oil platform in the Gulf of Mexico during 1990 [Arnold et al. 1995]. The differences and similarities between the oil platform measurements and the satellite estimates are shown. This study is in support of the upcoming mission of the NASA/CNES Jason-1 altimeter
Keywords :
atmospheric techniques; meteorological radar; ocean waves; oceanographic techniques; remote sensing by radar; spaceborne radar; wind; AD 1990; EM bias; Gulf of Mexico; electromagnetic bias; marine atmosphere; measurement technique; meteorological radar; nonparametric analysis method; nonparametric representation; ocean wave; radar altimetry method; radar remote sensing; sea state; spaceborne radar; surface layer; wave height; wind; wind speed; Electromagnetic analysis; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic scattering; Mesh generation; Offshore installations; Satellites; Smoothing methods; Spaceborne radar; Wind speed;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.772004