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Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5547-2022
https://doi.org/10.5194/gmd-15-5547-2022
Development and technical paper
 | 
20 Jul 2022
Development and technical paper |  | 20 Jul 2022

Computationally efficient methods for large-scale atmospheric inverse modeling

Taewon Cho, Julianne Chung, Scot M. Miller, and Arvind K. Saibaba

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Short summary
Atmospheric inverse modeling describes the process of estimating greenhouse gas fluxes or air...
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