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  Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction

Thilakan, V., Pillai, D., Gerbig, C., Galkowski, M., Ravi, A., & Mathew, T. A. (2022). Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction. Atmospheric Chemistry and Physics, 22(23), 15287-15312. doi:10.5194/acp-22-15287-2022.

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https://doi.org/10.5194/acp-22-15287-2022 (Publisher version)
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 Creators:
Thilakan, Vishnu, Author
Pillai, Dhanyalekshmi, Author
Gerbig, Christoph1, Author           
Galkowski, Michal1, Author           
Ravi, Aparnna, Author
Mathew, Thara Anna, Author
Affiliations:
1Airborne Trace Gas Measurements and Mesoscale Modelling, Dr. habil. C. Gerbig, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3279721              

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 Dates: 2022-11-152022-12-01
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC4145
DOI: 10.5194/acp-22-15287-2022
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Title: Atmospheric Chemistry and Physics
  Abbreviation : ACP
Source Genre: Journal
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Publ. Info: Göttingen : Copernicus Publications
Pages: - Volume / Issue: 22 (23) Sequence Number: - Start / End Page: 15287 - 15312 Identifier: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016