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Inverse Methods for Atmospheric Sounding cover

Remote sounding of the atmosphere has proved to be a fruitful method of obtaining global information about the atmospheres of the earth and other planets. This book treats comprehensively the inverse problem of remote sounding, and discusses a wide range of retrieval methods for extracting atmospheric parameters of interest from the quantities (thermal emission, for example) that can be measured remotely. Inverse theory is treated in depth from an estimation-theory point of view, but practical questions are also emphasized, such as designing observing systems to obtain the maximum quantity of information, efficient numerical implementation of algorithms for processing large quantities of data, error analysis and approaches to the validation of the resulting retrievals. The book is targeted at graduate students as well as scientists.


Contents:
  • Information Aspects
  • Error Analysis and Characterisation
  • Optimal Linear Inverse Methods
  • Optimal Methods for Nonlinear Inverse Problems
  • Approximations, Short Cuts and Ad-hoc Methods
  • The Kalman Filter
  • Global Data Assimilation
  • Numerical Methods for Forward Models and Jacobians
  • Construction and Use of Prior Constraints
  • Designing an Observing System
  • Testing and Validating an Observing System

Readership: Physicists, applied mathematicians and interdisciplinary scientists.

Free Access
FRONT MATTER
  • Pages:i–xvi

https://doi.org/10.1142/9789812813718_fmatter

No Access
Introduction
  • Pages:1–11

https://doi.org/10.1142/9789812813718_0001

No Access
Information Aspects
  • Pages:13–41

https://doi.org/10.1142/9789812813718_0002

No Access
Error Analysis and Characterisation
  • Pages:43–63

https://doi.org/10.1142/9789812813718_0003

No Access
Optimal Linear Inverse Methods
  • Pages:65–79

https://doi.org/10.1142/9789812813718_0004

No Access
Optimal Methods for Non-linear Inverse Problems
  • Pages:81–100

https://doi.org/10.1142/9789812813718_0005

No Access
Approximations, Short Cuts and Ad-hoc Methods
  • Pages:101–120

https://doi.org/10.1142/9789812813718_0006

No Access
The Kalman Filter
  • Pages:121–128

https://doi.org/10.1142/9789812813718_0007

No Access
Global Data Assimilation
  • Pages:129–140

https://doi.org/10.1142/9789812813718_0008

No Access
Numerical Methods for Forward Models and Jacobians
  • Pages:141–158

https://doi.org/10.1142/9789812813718_0009

No Access
Construction and Use of Prior Constraints
  • Pages:159–173

https://doi.org/10.1142/9789812813718_0010

No Access
Designing an Observing System
  • Pages:175–184

https://doi.org/10.1142/9789812813718_0011

No Access
Testing and Validating an Observing System
  • Pages:185–196

https://doi.org/10.1142/9789812813718_0012

Free Access
BACK MATTER
  • Pages:197–238

https://doi.org/10.1142/9789812813718_bmatter

“In this book, the author provides a well-founded background and solution of the inverse problem.”
Zentralblatt MATH