Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 10
Articles | Volume 10, issue 10
https://doi.org/10.5194/gmd-10-3695-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-3695-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 10
Methods for assessment of models
 | 
10 Oct 2017
Methods for assessment of models |  | 10 Oct 2017

Atmospheric inverse modeling via sparse reconstruction

Nils Hase, Scot M. Miller, Peter Maaß, Justus Notholt, Mathias Palm, and Thorsten Warneke

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Latest update: 03 Nov 2024
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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.
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