Optimizing CO<sub>2</sub> observing networks in the presence of model error: results from TransCom 3
We use a genetic algorithm to construct optimal observing networks of atmospheric concentration for inverse determination of net sources. Optimal networks are those that produce a minimum in average posterior uncertainty plus a term representing the divergence among source estimates for differ...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2004-01-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | http://www.atmos-chem-phys.net/4/413/2004/acp-4-413-2004.pdf |