Data quality enhancement for field experiments in atmospheric chemistry via 
sequential Monte Carlo filters

Röder, Lenard L.; Dewald, Patrick; Nussbaumer, Clara M.; Schuladen, Jan; Crowley, John N.; Lelieveld, Jos; Fischer, Horst

doi:10.5194/amt-16-1167-2023

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Data quality enhancement for field experiments in atmospheric chemistry via sequential Monte Carlo filters

Röder, L. L., Dewald, P., Nussbaumer, C. M., Schuladen, J., Crowley, J. N., Lelieveld, J., et al. (2022). Data quality enhancement for field experiments in atmospheric chemistry via sequential Monte Carlo filters. doi:10.5194/amt-16-1167-2023.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-3D49-E Version Permalink: https://hdl.handle.net/21.11116/0000-000D-3D4A-D

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https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1080/egusphere-2022-1080.pdf (Preprint) Open Access Gold

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Creators:
Röder, Lenard L.¹, Author
Dewald, Patrick¹, Author
Nussbaumer, Clara M.¹, Author
Schuladen, Jan¹, Author
Crowley, John N.¹, Author
Lelieveld, Jos¹, Author
Fischer, Horst¹, Author

Affiliations:
1Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285

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Abstract: Data Quality Enhancement for Atmospheric Chemistry Field Experiments via Sequential Monte Carlo Filters

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Language(s): eng - English

Dates: Published Online: 2022-11-14

Publication Status: Published online

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Identifiers: DOI: 10.5194/amt-16-1167-2023

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