Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6635-2024
https://doi.org/10.5194/acp-24-6635-2024
Research article
 | 
06 Jun 2024
Research article |  | 06 Jun 2024

Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study

Chandrakala Bharali, Mary Barth, Rajesh Kumar, Sachin D. Ghude, Vinayak Sinha, and Baerbel Sinha

Related authors

A long-term high-resolution air quality reanalysis with public facing air quality dashboard over the Contiguous United States (CONUS)
Rajesh Kumar, Piyush Bhardwaj, Cenlin He, Jennifer Boehnert, Forrest Lacey, Stefano Alessandrini, Kevin Sampson, Matthew Casali, Scott Swerdlin, Olga Wilhelmi, Gabriele G. Pfister, Benjamin Gaubert, and Helen Worden
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-180,https://doi.org/10.5194/essd-2024-180, 2024
Preprint under review for ESSD
Short summary
Investigating ground-level ozone pollution in semi-arid and arid regions of Arizona using WRF-Chem v4.4 modeling
Yafang Guo, Chayan Roychoudhury, Mohammad Amin Mirrezaei, Rajesh Kumar, Armin Sorooshian, and Avelino F. Arellano
Geosci. Model Dev., 17, 4331–4353, https://doi.org/10.5194/gmd-17-4331-2024,https://doi.org/10.5194/gmd-17-4331-2024, 2024
Short summary
Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system
Vishnu Thilakan, Dhanyalekshmi Pillai, Jithin Sukumaran, Christoph Gerbig, Haseeb Hakkim, Vinayak Sinha, Yukio Terao, Manish Naja, and Monish Vijay Deshpande
Atmos. Chem. Phys., 24, 5315–5335, https://doi.org/10.5194/acp-24-5315-2024,https://doi.org/10.5194/acp-24-5315-2024, 2024
Short summary
Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India
Gaurav Govardhan, Sachin D. Ghude, Rajesh Kumar, Sumit Sharma, Preeti Gunwani, Chinmay Jena, Prafull Yadav, Shubhangi Ingle, Sreyashi Debnath, Pooja Pawar, Prodip Acharja, Rajmal Jat, Gayatry Kalita, Rupal Ambulkar, Santosh Kulkarni, Akshara Kaginalkar, Vijay K. Soni, Ravi S. Nanjundiah, and Madhavan Rajeevan
Geosci. Model Dev., 17, 2617–2640, https://doi.org/10.5194/gmd-17-2617-2024,https://doi.org/10.5194/gmd-17-2617-2024, 2024
Short summary
Process Analysis of Elevated Concentrations of Organic Acids at Whiteface Mountain, New York
Christopher Lawrence, Mary Barth, John Orlando, Paul Casson, Richard Brandt, Daniel Kelting, Elizabeth Yerger, and Sara Lance
EGUsphere, https://doi.org/10.5194/egusphere-2024-715,https://doi.org/10.5194/egusphere-2024-715, 2024
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models
Alkiviadis Kalisoras, Aristeidis K. Georgoulias, Dimitris Akritidis, Robert J. Allen, Vaishali Naik, Chaincy Kuo, Sophie Szopa, Pierre Nabat, Dirk Olivié, Twan van Noije, Philippe Le Sager, David Neubauer, Naga Oshima, Jane Mulcahy, Larry W. Horowitz, and Prodromos Zanis
Atmos. Chem. Phys., 24, 7837–7872, https://doi.org/10.5194/acp-24-7837-2024,https://doi.org/10.5194/acp-24-7837-2024, 2024
Short summary
Modeling impacts of dust mineralogy on fast climate response
Qianqian Song, Paul Ginoux, María Gonçalves Ageitos, Ron L. Miller, Vincenzo Obiso, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 24, 7421–7446, https://doi.org/10.5194/acp-24-7421-2024,https://doi.org/10.5194/acp-24-7421-2024, 2024
Short summary
Uncertainties in laboratory-measured shortwave refractive indices of mineral dust aerosols and derived optical properties: a theoretical assessment
Senyi Kong, Zheng Wang, and Lei Bi
Atmos. Chem. Phys., 24, 6911–6935, https://doi.org/10.5194/acp-24-6911-2024,https://doi.org/10.5194/acp-24-6911-2024, 2024
Short summary
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
Wenxuan Hua, Sijia Lou, Xin Huang, Lian Xue, Ke Ding, Zilin Wang, and Aijun Ding
Atmos. Chem. Phys., 24, 6787–6807, https://doi.org/10.5194/acp-24-6787-2024,https://doi.org/10.5194/acp-24-6787-2024, 2024
Short summary
Long-term variability in black carbon emissions constrained by gap-filled absorption aerosol optical depth and associated premature mortality in China
Wenxin Zhao, Yu Zhao, Yu Zheng, Dong Chen, Jinyuan Xin, Kaitao Li, Huizheng Che, Zhengqiang Li, Mingrui Ma, and Yun Hang
Atmos. Chem. Phys., 24, 6593–6612, https://doi.org/10.5194/acp-24-6593-2024,https://doi.org/10.5194/acp-24-6593-2024, 2024
Short summary

Cited articles

Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 3. Sectional representation, J. Geophys. Res.-Atmos., 107, AAC 1-1–AAC 1-6, https://doi.org/10.1029/2001JD000483, 2002. 
Acharja, P., Ali, K., Ghude, S. D., Sinha, V., Sinha, B., Kulkarni, R., Gultepe, I., and Rajeevan, M. N.: Enhanced secondary aerosol formation driven by excess ammonia during fog episodes in Delhi, India, Chemosphere, 289, 133155, https://doi.org/10.1016/j.chemosphere.2021.133155, 2022. 
Anu Rani Sharma, Shailesh Kumar Kharol, Badarinath, K. V. S., and Darshan Singh: Impact of agriculture crop residue burning on atmospheric aerosol loading – a study over Punjab State, India, Ann. Geophys., 28, 367–379, https://doi.org/10.5194/angeo-28-367-2010, 2010. 
Arun, S. H., Sharma, S. K., Chaurasia, S., Vaishnav, R., and Kumar, R.: Fog/low clouds detection over the delhi earth station using the ceilometer and the insat-3d/3dr satellite data, Int. J. Remote Sens., 39, 4130–4144, https://doi.org/10.1080/01431161.2018.1454624, 2018. 
Badarinath, K. V. S., Kumar Kharol, S., and Rani Sharma, A.: Long-range transport of aerosols from agriculture crop residue burning in Indo-Gangetic Plains—A study using LIDAR, ground measurements and satellite data, J. Atmos. Sol.-Terr. Phy., 71, 112–120, https://doi.org/10.1016/j.jastp.2008.09.035, 2009. 
Download
Short summary
This study examines the role of atmospheric aerosols in winter fog over the Indo-Gangetic Plains of India using WRF-Chem.  The increase in RH with aerosol–radiation feedback (ARF) is found to be important for fog formation as it promotes the growth of aerosols in the polluted environment. Aqueous-phase chemistry in the fog increases PM2.5 concentration, further affecting ARF. ARF and aqueous-phase chemistry affect the fog intensity and the timing of fog formation by ~1–2 h.
Altmetrics
Final-revised paper
Preprint