# Assessing the relationship between atmospheric aerosols and maximum surface air temperature over the Indian region

**Authors:** T. S. Sarin, V. Vinoj

PMC · DOI: 10.1038/s41598-026-40641-0 · Scientific Reports · 2026-02-18

## TL;DR

The study explores how atmospheric aerosols affect maximum surface air temperature in India, revealing seasonal cooling and warming effects linked to aerosol and cloud interactions.

## Contribution

This study provides new insights into aerosol effects on surface temperature in India using satellite data, reanalysis, and climate models.

## Key findings

- Aerosols cool the surface by −0.25°C in winter and −0.04°C in post-monsoon, but warm it by 0.15°C in pre-monsoon.
- Aerosol-induced changes in clouds are linked to observed temperature variations.
- Reanalysis and model simulations confirm the aerosol effect patterns observed in satellite data.

## Abstract

Atmospheric aerosols significantly influence Earth’s climate through direct, indirect, and semi-direct effects on solar radiation. While their global cooling impact at the surface is well-documented, regional-scale studies using observations remain limited. This study quantifies aerosol impact on maximum surface air temperature over India, a region characterised by substantial diversity in aerosol types and seasonality, using long-term satellite observations, reanalysis datasets analysed with a multiple linear regression framework that accounts for cloud cover and atmospheric moisture, and complementary regional climate model simulations to validate the underlying physical mechanisms. Results reveal strong spatial variability in the aerosol effect (AER_EFFOBS) with the aerosols appearing to cool the surface by −0.25 °C in winter (DJF) and −0.04 °C in the post-monsoon (SON) while warming it by 0.15 °C in the pre-monsoon (MAM). This warming/cooling appears to be linked to aerosols and aerosol-induced changes in clouds. Analysis using reanalysis data (MERRA2) yields an aerosol effect (AER_EFFRA) of −0.45 °C in DJF, 0.18 °C in MAM, and −0.12 °C in SON matching the spatial patterns in AER_EFFOBS. Model simulations using the Regional Climate Model (RegCM 4.7.1) further corroborate the effect of aerosol-induced changes in low cloud cover affecting the temperature. These results underscore the intricate relationship between aerosol and surface temperature over India, a region with high aerosol loading, emphasizing the need for improved understanding of aerosol-cloud-climate interaction.

The online version contains supplementary material available at 10.1038/s41598-026-40641-0.

## Full-text entities

- **Genes:** SGCG (sarcoglycan gamma) [NCBI Gene 6445] {aka 35DAG, A4, DAGA4, DMDA, DMDA1, LGMD2C}, SON (SON DNA and RNA binding protein) [NCBI Gene 6651] {aka BASS1, C21orf50, DBP-5, NREBP, SON3, TOKIMS}
- **Diseases:** SAT (MESH:D000377), Tmax anomaly (MESH:D000013), COVID-19 (MESH:D000086382), AOD (MESH:D007222)
- **Chemicals:** SO2 (MESH:D013458), salt (MESH:D012492), water (MESH:D014867), sulfate (MESH:D013431), CTP (-), carbon (MESH:D002244)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13004928/full.md

## References

5 references — full list in the complete paper: https://tomesphere.com/paper/PMC13004928/full.md

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Source: https://tomesphere.com/paper/PMC13004928