Articles | Volume 14, issue 8
https://doi.org/10.5194/amt-14-5521-2021
https://doi.org/10.5194/amt-14-5521-2021
Research article
 | 
12 Aug 2021
Research article |  | 12 Aug 2021

Reduced-cost construction of Jacobian matrices for high-resolution inversions of satellite observations of atmospheric composition

Hannah Nesser, Daniel J. Jacob, Joannes D. Maasakkers, Tia R. Scarpelli, Melissa P. Sulprizio, Yuzhong Zhang, and Chris H. Rycroft

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Latest update: 25 Feb 2024
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Short summary
Analytical inversions of satellite observations of atmospheric composition can improve emissions estimates and quantify errors but are computationally expensive at high resolutions. We propose two methods to decrease this cost. The methods reproduce a high-resolution inversion at a quarter of the cost. The reduced-dimension method creates a multiscale grid. The reduced-rank method solves the inversion where information content is highest.