Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 8, issue 4
Articles | Volume 8, issue 4
https://doi.org/10.5194/gmd-8-1259-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1259-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 8, issue 4
Development and technical paper
 | 
29 Apr 2015
Development and technical paper |  | 29 Apr 2015

A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion

J. Ray, J. Lee, V. Yadav, S. Lefantzi, A. M. Michalak, and B. van Bloemen Waanders

Viewed

Total article views: 4,991 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,180 1,502 309 4,991 304 368
  • HTML: 3,180
  • PDF: 1,502
  • XML: 309
  • Total: 4,991
  • BibTeX: 304
  • EndNote: 368
Views and downloads (calculated since 20 Aug 2014)
Cumulative views and downloads (calculated since 20 Aug 2014)

Cited

Saved (final revised paper)

Latest update: 27 Oct 2026
Download
Short summary
The paper presents a statistical method (shrinkage) that can be used to estimate rough emission fields, e.g., fossil fuel CO2 emissions, from measurements of concentrations. This method is demonstrated in a test case where the emissions are modeled using wavelets. We find that the method can eliminate unnecessary complexity from the wavelet model, ensures non-negativity of the emissions, is computationally efficient and is, by construction, insensitive to prior guesses of the total emission.
Read more
Share