Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 8
Articles | Volume 14, issue 8
https://doi.org/10.5194/amt-14-5521-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-5521-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 8
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

Viewed

Total article views: 2,474 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,871 573 30 2,474 36 33
  • HTML: 1,871
  • PDF: 573
  • XML: 30
  • Total: 2,474
  • BibTeX: 36
  • EndNote: 33
Views and downloads (calculated since 16 Nov 2020)
Cumulative views and downloads (calculated since 16 Nov 2020)

Viewed (geographical distribution)

Total article views: 2,474 (including HTML, PDF, and XML) Thereof 2,268 with geography defined and 206 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Mar 2023
Download
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.
Read more