Towards monitoring the CO<sub>2</sub> source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO<sub>2</sub> mole fraction
Abstract 2 sources and sinks over India through inverse methods calls for a comprehensive atmospheric monitoring system involving atmospheric transport models that make a realistic accounting of atmospheric CO2 variability along with a good coverage of ground-based monitoring stations. This study investigates the importance of representing fine-scale variability in atmospheric CO2 in models for the optimal use of observations through inverse modelling. The unresolved variability in atmospheric CO2 in coarse models is quantified by using WRF-Chem (Weather Research and Forecasting model coupled with Chemistry) simulations at a spatial resolution of 10 km × ∘ (∼ 2, respectively) compared to the measurement errors. The monthly averaged surface representation error reaches up to ∼ 2 variability in models over the Indian subcontinent to better understand processes regulating CO2 sources and sinks. The efficacy of a simple parameterization scheme is further demonstrated to capture these unresolved variations in coarse models.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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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 ; volume:22 ; number:23 ; year:2022 ; pages:15287-15312 ; extent:26
Atmospheric chemistry and physics ; 22, Heft 23 (2022), 15287-15312 (gesamt 26)
- Creator
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Thilakan, Vishnu
Pillai, Dhanyalekshmi
Gerbig, Christoph
Gałkowski, Michał
Ravi, Aparnna
Anna Mathew, Thara
- DOI
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10.5194/acp-22-15287-2022
- URN
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urn:nbn:de:101:1-2022120804412428059461
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Thilakan, Vishnu
- Pillai, Dhanyalekshmi
- Gerbig, Christoph
- Gałkowski, Michał
- Ravi, Aparnna
- Anna Mathew, Thara