Articles | Volume 10, issue 10
Geosci. Model Dev., 10, 3695–3713, 2017
https://doi.org/10.5194/gmd-10-3695-2017
Geosci. Model Dev., 10, 3695–3713, 2017
https://doi.org/10.5194/gmd-10-3695-2017
Methods for assessment of models
10 Oct 2017
Methods for assessment of models | 10 Oct 2017

Atmospheric inverse modeling via sparse reconstruction

Nils Hase et al.

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Latest update: 24 Jun 2022
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Short summary
Inverse modeling uses atmospheric measurements to estimate emissions of greenhouse gases, which are key to understand the climate system. However, the measurement information alone is typically insufficient to provide reasonable emission estimates. Additional information is required. This article applies modern mathematical inversion techniques to formulate such additional knowledge. It is a prime example of how such tools can improve the quality of estimates compared to commonly used methods.