Articles | Volume 26, issue 6
https://doi.org/10.5194/acp-26-4453-2026
© Author(s) 2026. 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-26-4453-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Apr 2026
Research article |
| 01 Apr 2026
| 01 Apr 2026
Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India
Thara Anna Mathew
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
Jithin Sukumaran
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
Monish Vijay Deshpande
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
now at: University of Michigan, Ann Harbor, Michigan, USA
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Oliver Schneising
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Vishnu Thilakan
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
now at: Lund University, Lund, Sweden
Aparnna Ravi
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
now at: Ludwig Maximilians University, Munich, Germany
Sanjid Backer Kanakkassery
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Max Planck Partner Group (IISERB), Max Planck Society, Munich, Germany
now at: Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany
Advaith J. Vinod
Indian Institute of Science Education and Research Bhopal (IISERB), Bhopal, India
Sivarajan Sijikumar
Space Physics Laboratory (SPL), Vikram Sarabhai Space Centre, Thiruvananthapuram, India
Imran A. Girach
Space Applications Centre (SAC), Indian Space Research Organization, Ahmedabad, India
S. Suresh Babu
Space Physics Laboratory (SPL), Vikram Sarabhai Space Centre, Thiruvananthapuram, India
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Preprint archived
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Atmos. Meas. Tech., 15, 2199–2229, https://doi.org/10.5194/amt-15-2199-2022, https://doi.org/10.5194/amt-15-2199-2022, 2022
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Satellite and ground-based observations at high latitudes are much sparser than at low or mid latitudes, which makes direct coincident comparisons between remote-sensing observations more difficult. Therefore, a method of scaling continuous CAMS model data to the ground-based observations is developed and used for creating virtual COCCON observations. These adjusted CAMS data are then used for satellite inter-comparison, showing good agreement in both Peterhof and Yekaterinburg cities.
Mathew Sebastian, Sobhan Kumar Kompalli, Vasudevan Anil Kumar, Sandhya Jose, S. Suresh Babu, Govindan Pandithurai, Sachchidanand Singh, Rakesh K. Hooda, Vijay K. Soni, Jeffrey R. Pierce, Ville Vakkari, Eija Asmi, Daniel M. Westervelt, Antti-Pekka Hyvärinen, and Vijay P. Kanawade
Atmos. Chem. Phys., 22, 4491–4508, https://doi.org/10.5194/acp-22-4491-2022, https://doi.org/10.5194/acp-22-4491-2022, 2022
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Characteristics of particle number size distributions and new particle formation in six locations in India were analyzed. New particle formation occurred frequently during the pre-monsoon (spring) season and it significantly modulates the shape of the particle number size distributions. The contribution of newly formed particles to cloud condensation nuclei concentrations was ~3 times higher in urban locations than in mountain background locations.
Zixia Liu, Martin Osborne, Karen Anderson, Jamie D. Shutler, Andy Wilson, Justin Langridge, Steve H. L. Yim, Hugh Coe, Suresh Babu, Sreedharan K. Satheesh, Paquita Zuidema, Tao Huang, Jack C. H. Cheng, and James Haywood
Atmos. Meas. Tech., 14, 6101–6118, https://doi.org/10.5194/amt-14-6101-2021, https://doi.org/10.5194/amt-14-6101-2021, 2021
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This paper first validates the performance of an advanced aerosol observation instrument POPS against a reference instrument and examines any biases introduced by operating it on a quadcopter drone. The results show the POPS performs relatively well on the ground. The impact of the UAV rotors on the POPS is small at low wind speeds, but when operating under higher wind speeds, larger discrepancies occur. It appears that the POPS measures sub-micron aerosol particles more accurately on the UAV.
Sobhan Kumar Kompalli, Surendran Nair Suresh Babu, Krishnaswamy Krishna Moorthy, Sreedharan Krishnakumari Satheesh, Mukunda Madhab Gogoi, Vijayakumar S. Nair, Venugopalan Nair Jayachandran, Dantong Liu, Michael J. Flynn, and Hugh Coe
Atmos. Chem. Phys., 21, 9173–9199, https://doi.org/10.5194/acp-21-9173-2021, https://doi.org/10.5194/acp-21-9173-2021, 2021
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The first observations of refractory black carbon aerosol size distributions and mixing state in South Asian outflow to the northern Indian Ocean were carried out as a part of the ICARB-2018 experiment during winter. Size distributions indicated mixed sources of BC particles in the outflow, which are thickly coated. The coating thickness of BC is controlled mainly by the availability of condensable species in the outflow.
Vishnu Thilakan, Dhanyalekshmi Pillai, Christoph Gerbig, Michal Galkowski, Aparnna Ravi, and Thara Anna Mathew
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-392, https://doi.org/10.5194/acp-2021-392, 2021
Revised manuscript not accepted
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This paper demonstrates how we can make use of atmospheric observations to improve the CO2 flux estimates of India. This is achieved by improving the representation of terrain, mesoscale transport and flux variations. We quantify the impact of unresolved variations in the current models on optimally estimated fluxes via inverse modelling and quantify the associated flux uncertainty. We illustrate how a parameterization scheme captures this variability in the coarse models.
Stefan Noël, Maximilian Reuter, Michael Buchwitz, Jakob Borchardt, Michael Hilker, Heinrich Bovensmann, John P. Burrows, Antonio Di Noia, Hiroshi Suto, Yukio Yoshida, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Hirofumi Ohyama, Christof Petri, James R. Podolske, David F. Pollard, Mahesh Kumar Sha, Kei Shiomi, Ralf Sussmann, Yao Té, Voltaire A. Velazco, and Thorsten Warneke
Atmos. Meas. Tech., 14, 3837–3869, https://doi.org/10.5194/amt-14-3837-2021, https://doi.org/10.5194/amt-14-3837-2021, 2021
Short summary
Short summary
We present the first GOSAT and GOSAT-2 XCO2 data derived with the FOCAL retrieval algorithm. Comparisons of the GOSAT-FOCAL product with other data reveal long-term agreement within about 1 ppm over 1 decade, differences in seasonal variations of about 0.5 ppm, and a mean regional bias to ground-based TCCON data of 0.56 ppm with a mean scatter of 1.89 ppm. GOSAT-2-FOCAL data are preliminary only, but first comparisons show that they compare well with the GOSAT-FOCAL results and TCCON.
Ashique Vellalassery, Dhanyalekshmi Pillai, Julia Marshall, Christoph Gerbig, Michael Buchwitz, Oliver Schneising, and Aparnna Ravi
Atmos. Chem. Phys., 21, 5393–5414, https://doi.org/10.5194/acp-21-5393-2021, https://doi.org/10.5194/acp-21-5393-2021, 2021
Short summary
Short summary
We investigate factors contributing to the severe and persistent air quality degradation in northern India that has worsened during every winter over the last decade. This is achieved by implementing atmospheric modelling and using recently available Sentinel-5 P satellite data for carbon monoxide. We see a minimal role of biomass burning, except for the state of Punjab. The aim is to focus on residential and industrial emission reduction strategies to tackle air pollution over northern India.
Cited articles
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Short summary
India poses a significant methane emission burden, but limited observations challenge accurate national estimations. This study combines satellite retrievals, ground measurements, and models to improve India’s 2018–2019 methane budget. Derived emissions are higher than national reports but lower than global inventories. The findings highlight the potential of satellite instruments to report emissions accurately. Expanded methane monitoring is vital for meeting climate change mitigation targets.
India poses a significant methane emission burden, but limited observations challenge accurate...
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