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Inverse Methods for Atmospheric... (V2)

by Rodgers C D

A framework for atmospheric remote-sensing retrievals

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Hardcover New English

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AlbakiReads Editorial

A framework for atmospheric remote-sensing retrievals

C. D. Rodgers examines how atmospheric parameters can be inferred from remotely measured quantities such as thermal emission. The book develops inverse theory from an estimation-theory perspective, then connects that foundation to practical concerns: choosing observing systems, implementing retrieval algorithms for large datasets, analyzing errors, and validating results. Its scope includes remote sounding of Earth’s atmosphere and those of other planets, bringing theoretical methods and the work of applying them into one technical treatment. The emphasis on both inference and the design and assessment of retrieval systems makes the volume a reference point for the full process, from measurement choices to evaluating derived atmospheric information.

Good fit for readers who enjoy

  • Graduate students studying atmospheric remote sensing or inverse methods
  • Scientists working with atmospheric measurements and retrieval algorithms

Themes

Atmospheric remote sensingInverse theory and estimationRetrieval algorithmsError analysis and validation

Based on publisher information and book metadata.

Book overview

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.
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