Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5219-2023
https://doi.org/10.5194/gmd-16-5219-2023
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

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Latest update: 19 May 2024
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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.