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Journal Article

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

MPS-Authors
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Gerbig,  Christoph
Airborne 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;

/persons/resource/persons242402

Galkowski,  Michal
Airborne 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;

External Resource

https://doi.org/10.5194/acp-22-15287-2022
(Publisher version)

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Fulltext (public)

BGC4145.pdf
(Publisher version), 7MB

Supplementary Material (public)

BGC4145s1.pdf
(Supplementary material), 2MB

Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-000B-A797-E
Abstract
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