Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling

Miinalainen, Tuuli; Kokkola, Harri; Lipponen, Antti; Hyvärinen, Antti-Pekka; Soni, Vijay Kumar; Lehtinen, Kari E. J.; Kühn, Thomas

doi:https://doi.org/10.5194/acp-23-3471-2023

Articles | Volume 23, issue 6

https://doi.org/10.5194/acp-23-3471-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-3471-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 6

Research article

|

20 Mar 2023

Research article |

| 20 Mar 2023

Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling

Tuuli Miinalainen, Harri Kokkola, Antti Lipponen, Antti-Pekka Hyvärinen, Vijay Kumar Soni, Kari E. J. Lehtinen, and Thomas Kühn

Supplement

https://doi.org/10.5194/acp-23-3471-2023-supplement

Data sets

Data for "Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling" T. Miinalainen https://doi.org/10.23729/9724a768-9e3f-4116-8b1d-a4010817eead

Central Control Room for Air Quality Management CPBC https://app.cpcbccr.com/ccr/#/caaqm-dashboard/caaqm-landing

ECLIPSE V6b IIASA https://previous.iiasa.ac.at/web/home/research/researchPrograms/air/ECLIPSEv6b.html

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Short summary

We simulated the effects of aerosol emission mitigation on both global and regional radiative forcing and city-level air quality with a global-scale climate model. We used a machine learning downscaling approach to bias-correct the PM_2.5 values obtained from the global model for the Indian megacity New Delhi. Our results indicate that aerosol mitigation could result in both improved air quality and less radiative heating for India.