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Parameter Estimation in Atmospheric Data SetsIn this study the structure tensor technique is used to estimate dynamical parameters in atmospheric data sets. The structure tensor is a common tool for estimating motion in image sequences. This technique can be extended to estimate other dynamical parameters such as diffusion constants or exponential decay rates. A general mathematical framework was developed for the direct estimation of the physical parameters that govern the underlying processes from image sequences. This estimation technique can be adapted to the specific physical problem under investigation, so it can be used in a variety of applications in trace gas, aerosol, and cloud remote sensing. As a test scenario this technique will be applied to modeled dust data. In this case vertically integrated dust concentrations were used to derive wind information. Those results can be compared to the wind vector fields which served as input to the model. Based on this analysis, a method to compute atmospheric data parameter fields will be presented. .
Document ID
20040081056
Acquisition Source
Headquarters
Document Type
Conference Paper
Authors
Wenig, Mark
Colarco, Peter
Date Acquired
August 21, 2013
Publication Date
January 1, 2004
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: International Quadrennial Ozone Symposium
Location: Kos
Country: Greece
Start Date: June 1, 2004
End Date: June 8, 2004
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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