Articles | Volume 11, issue 8
https://doi.org/10.5194/amt-11-4909-2018
https://doi.org/10.5194/amt-11-4909-2018
Research article
 | 
27 Aug 2018
Research article |  | 27 Aug 2018

A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements

Anand K. Ramanathan, Hai M. Nguyen, Xiaoli Sun, Jianping Mao, James B. Abshire, Jonathan M. Hobbs, and Amy J. Braverman

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Latest update: 14 Dec 2024
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Short summary
Remote sensing of greenhouse gases (GHG) such as CO2 and CH4 in the atmosphere from space is important for studying emissions and the carbon cycle. Present-day techniques measure the absorption of light passing through the atmosphere and determine the column-averaged gas concentration in the atmosphere. Here, we draw from a well-known singular value decomposition (SVD) framework to develop a technique of extracting information about the GHG concentration profile from the column absorption.