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

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Cited articles

Berk, R., Brown, L., Buja, A., Zhang, K., and Zhao, L.: Valid post-selection inference, Ann. Stat., 41, 802–837, 2013. a
Bouchard, M., Jousselme, A.-L., and Doré, P.-E.: A proof for the positive definiteness of the Jaccard index matrix, Int. J. Approx. Reason., 54, 615–626, 2013. a
Brasseur, G. P. and Jacob, D. J.: Modeling of atmospheric chemistry, Cambridge University Press,, 2017. a, b, c
Cha, S.-H.: Comprehensive survey on distance/similarity measures between probability density functions, City, 1, p. 1, 2007. a
Conley, S., Franco, G., Faloona, I., Blake, D. R., Peischl, J., and Ryerson, T.: Methane emissions from the 2015 Aliso Canyon blowout in Los Angeles, CA, Science, 351, 1317–1320, 2016. a
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.