Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-7137-2025
https://doi.org/10.5194/acp-25-7137-2025
Research article
 | 
11 Jul 2025
Research article |  | 11 Jul 2025

Impact of post-monsoon crop residue burning on PM2.5 over northern India: optimizing emissions using a high-density in situ surface observation network

Mizuo Kajino, Kentaro Ishijima, Joseph Ching, Kazuyo Yamaji, Rio Ishikawa, Tomoki Kajikawa, Tanbir Singh, Tomoki Nakayama, Yutaka Matsumi, Koyo Kojima, Taisei Machida, Takashi Maki, Prabir K. Patra, and Sachiko Hayashida

Data sets

NHM-Chem simulation data used for an air quality study in North India M. Kajino https://doi.org/10.17632/9hs9mtxhh4.1

Model code and software

Application for use of Japan Meteorological Agency's regional-scale meteorology-chemistry model Japan Meteorological Agency https://www.mri-jma.go.jp/Dep/glb/nhmchem_model/application_en.html

Dataset $|$ Aakash Project (RIHN) Research Institute for Humanity and Nature https://aakash-rihn.org/en/data-set/

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Short summary
Air pollution in Delhi during the post-monsoon period is severe, and association with intensive crop residue burning (CRB) over Punjab state has attracted attention. However, the relationship has been unclear as the CRB emissions conventionally derived from satellites were underestimated due to clouds or thick smoke/haze over the region. We evaluated the impact of CRB on PM2.5 to be about 50 %, based on a combination of numerical modeling and an observation network using low-cost sensors we installed.
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