Articles | Volume 24, issue 9
https://doi.org/10.5194/acp-24-5315-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-5315-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 May 2024
Research article |
| 07 May 2024
| 07 May 2024
Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system
Vishnu Thilakan
Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal (IISER Bhopal), Bhopal, India
Max Planck Partner Group at IISER Bhopal, Max Planck Society, Munich, Germany
Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal (IISER Bhopal), Bhopal, India
Max Planck Partner Group at IISER Bhopal, Max Planck Society, Munich, Germany
Jithin Sukumaran
Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal (IISER Bhopal), Bhopal, India
Max Planck Partner Group at IISER Bhopal, Max Planck Society, Munich, Germany
Christoph Gerbig
Max Planck Institute for Biogeochemistry, Jena, Germany
Haseeb Hakkim
Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali (IISER Mohali), Mohali, India
Vinayak Sinha
Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali (IISER Mohali), Mohali, India
Yukio Terao
Earth System Division, National Institute for Environmental Studies (NIES), Tsukuba, Japan
Manish Naja
Atmospheric Science Division, Aryabhatta Research Institute of Observational Sciences, Nainital, India
Monish Vijay Deshpande
Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal (IISER Bhopal), Bhopal, India
Max Planck Partner Group at IISER Bhopal, Max Planck Society, Munich, Germany
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Cited
10 citations as recorded by crossref.
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. https://doi.org/10.1088/2752-5295/adffa7
- Carbon dioxide (CO2) variations across India: Synthesis of observations and model simulations R. Kunchala et al. https://doi.org/10.1016/j.atmosenv.2025.121746
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al. https://doi.org/10.5194/acp-26-3541-2026
- Energy transition in India and the race for renewable energy to outpace fossil fuels in carbon reduction H. Noor et al. https://doi.org/10.1007/s43621-026-04129-1
- Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al. https://doi.org/10.3390/rs17030450
- Measurement report: Insights into the high temporal variability of atmospheric carbon dioxide (CO2) at a suburban station in the Indo-Gangetic Plain V. Vazhathara et al. https://doi.org/10.5194/acp-26-6929-2026
- Long-term satellite-based spatiotemporal assessment of atmospheric CO2 variability over the Delhi-NCR region R. Tiwari et al. https://doi.org/10.1016/j.asr.2026.10.013
- First online observations of greenhouse gases over the Central Himalayas: insights in fluxes, vegetation links, and meteorological controls P. Srivastava & M. Naja https://doi.org/10.1007/s11356-025-36428-x
- Gross primary production variations dominate the response of Indian terrestrial carbon fluxes to global climatic phenomena E. Singha Roy et al. https://doi.org/10.1038/s43247-025-03013-6
- Quantification of long-term spatio-temporal CO2 dynamics in Indian terrestrial ecosystems R. Tiwari et al. https://doi.org/10.1016/j.pce.2025.104259
10 citations as recorded by crossref.
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. https://doi.org/10.1088/2752-5295/adffa7
- Carbon dioxide (CO2) variations across India: Synthesis of observations and model simulations R. Kunchala et al. https://doi.org/10.1016/j.atmosenv.2025.121746
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al. https://doi.org/10.5194/acp-26-3541-2026
- Energy transition in India and the race for renewable energy to outpace fossil fuels in carbon reduction H. Noor et al. https://doi.org/10.1007/s43621-026-04129-1
- Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al. https://doi.org/10.3390/rs17030450
- Measurement report: Insights into the high temporal variability of atmospheric carbon dioxide (CO2) at a suburban station in the Indo-Gangetic Plain V. Vazhathara et al. https://doi.org/10.5194/acp-26-6929-2026
- Long-term satellite-based spatiotemporal assessment of atmospheric CO2 variability over the Delhi-NCR region R. Tiwari et al. https://doi.org/10.1016/j.asr.2026.10.013
- First online observations of greenhouse gases over the Central Himalayas: insights in fluxes, vegetation links, and meteorological controls P. Srivastava & M. Naja https://doi.org/10.1007/s11356-025-36428-x
- Gross primary production variations dominate the response of Indian terrestrial carbon fluxes to global climatic phenomena E. Singha Roy et al. https://doi.org/10.1038/s43247-025-03013-6
- Quantification of long-term spatio-temporal CO2 dynamics in Indian terrestrial ecosystems R. Tiwari et al. https://doi.org/10.1016/j.pce.2025.104259
Saved (final revised paper)
Latest update: 27 Oct 2026
Short summary
This study investigates the usability of CO2 mixing ratio observations over India to infer regional carbon sources and sinks. We demonstrate that a high-resolution modelling system can represent the observed CO2 variations reasonably well by improving the transport and flux variations at a fine scale. Future carbon data assimilation systems can thus benefit from these recently available CO2 observations when fine-scale variations are adequately represented in the models.
This study investigates the usability of CO2 mixing ratio observations over India to infer...
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