Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 17
Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5219-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5219-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 17
Methods for assessment of models
 | 
08 Sep 2023
Methods for assessment of models |  | 08 Sep 2023

Metrics for evaluating the quality in linear atmospheric inverse problems: a case study of a trace gas inversion

Vineet Yadav, Subhomoy Ghosh, and Charles E. Miller

Viewed

Total article views: 1,465 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,160 274 31 1,465 56 7 12
  • HTML: 1,160
  • PDF: 274
  • XML: 31
  • Total: 1,465
  • Supplement: 56
  • BibTeX: 7
  • EndNote: 12
Views and downloads (calculated since 23 May 2022)
Cumulative views and downloads (calculated since 23 May 2022)

Viewed (geographical distribution)

Total article views: 1,465 (including HTML, PDF, and XML) Thereof 1,376 with geography defined and 89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Nov 2023
Download
Short summary
Measuring the performance of inversions in linear Bayesian problems is crucial in real-life applications. In this work, we provide analytical forms of the local and global sensitivities of the estimated fluxes with respect to various inputs. We provide methods to uniquely map the observational signal to spatiotemporal domains. Utilizing this, we also show techniques to assess correlations between the Jacobians that naturally translate to nonstationary covariance matrix components.
Read more