Paper Info
Title
Monte Carlo Simulation of Altimeter Pulse Returns and Electromagnetic Bias
Abstract
The electromagnetic (EM) bias is an important error term in sea surface height estimation from satellite radar altimetry. Present EM bias models are empirically based and globally-averaged functions of the altimeter-measured significant wave height and wind speed alone. Recent studies have shown that a reduction in the EM bias error variance can be achieved by incorporating ancillary wave model data into the EM bias model. This motivates an improved understanding of the physical mechanisms of the EM bias, so that an optimal means for incorporating ancillary data can be developed. New altimeter systems at Ka band also requires new consideration of the EM bias. While the EM bias has been studied extensively, most studies are based on low-order hydrodynamic and electromagnetic models. Herein, an alternate approach for EM bias studies is presented. This study employs a Monte Carlo procedure using numerical nonlinear hydrodynamic simulations coupled with numerical physical optics methods for electromagnetic scattering from the sea surface to produce a deterministic set of sea surface profiles and the corresponding altimeter pulse returns. The coupled simulation allows the impact of various physical effects to be investigated without resorting to decomposition of the sea surface into long and short sea waves. 1. Generate a set of non-linear sea surfaces.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4780042
IGARSS
Keywords
Field
DocType
surface waves,altimetry,hydrodynamics,satellites,wind speed,rough surfaces,sea surface height,monte carlo simulation,significant wave height,electromagnetics,probability density function,electromagnetic modeling,computational modeling,sea level,surface roughness,physical optics,monte carlo,monte carlo methods
Altimeter,Monte Carlo method,Computational electromagnetics,Computer science,Surface wave,Electromagnetics,Remote sensing,Scattering,Numerical analysis,Probability density function
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Praphun Naenna100.68
Joel T. Johnson2926116.14