Evidence map›Paper›PMID 41708800›Full record

ArticleScientific reports2026

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

T S Sarin, V Vinoj

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

T S SarinSchool of Earth Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar (IIT BBS), Argul, Odisha, 752050, India.
V VinojSchool of Earth Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar (IIT BBS), Argul, Odisha, 752050, India. vinoj@iitbbs.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Atmospheric aerosolIndiaMERRA2MODISSurface temperature

Identifiers

PMID41708800
PMCPMC13004928

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.