Articles | Volume 11, issue 8
Atmos. Meas. Tech., 11, 4909–4928, 2018
https://doi.org/10.5194/amt-11-4909-2018
Atmos. Meas. Tech., 11, 4909–4928, 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 et al.

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Latest update: 17 Sep 2021
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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.