Analysis of forward models using the singular value decomposition algorithm

Christopher Jarchow; Paul Hartogh

doi:10.1117/12.301156

1 January 1997 Analysis of forward models using the singular value decomposition algorithm

Christopher Jarchow, Paul Hartogh

Proceedings Volume 3220, Satellite Remote Sensing of Clouds and the Atmosphere II; (1997) https://doi.org/10.1117/12.301156
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

For microwave remote sensing of atmospheric composition or temperature an inversion of the measured primary data is in general necessary to obtain the desired profiles. In addition to the atmospheric quantities some unknown instrumental parameters might also need to be estimated from the data. Especially when designing a new instrument the question arises, whether the suggested data set contains enough information to retrieve the profiles and parameters with the desired accuracy. The singular value decomposition algorithm is shown to be a universal and powerful tool to analyze any linear or moderately nonlinear forward model and quantify the amount of retrievable parameters. In addition the method can be used as a simple and robust inversion technique, thus giving in one step not only an analysis of the relationship between measurement and parameter space, but also a solution of the inverse problem. The application of this method is illustrated using data obtained by ground-based measurements of ozone at 142 GHz.

Citation Download Citation

Christopher Jarchow and Paul Hartogh "Analysis of forward models using the singular value decomposition algorithm", Proc. SPIE 3220, Satellite Remote Sensing of Clouds and the Atmosphere II, (1 January 1997); https://doi.org/10.1117/12.301156

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available