Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother
<p>Atmospheric inverse modeling is the process of estimating emissions from atmospheric observations by minimizing a cost function, which includes a term describing the difference between simulated and observed concentrations. The minimization of this difference is typically limited by uncerta...
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| Main Authors: | M. Steiner, L. Cantarello, S. Henne, D. Brunner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-11-01
|
| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/24/12447/2024/acp-24-12447-2024.pdf |
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