Evidence map›Paper›PMID 36780523›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Black carbon aerosols over Indian Ocean have unique source fingerprint and optical characteristics during monsoon season.

Krishnakant Budhavant, August Andersson, H Holmstrand, S K Satheesh, Örjan Gustafsson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Substantial reductions in black carbon from both fossil fuels and biomass burning during China's Clean Air Action.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

5 authors.

Krishnakant BudhavantMaldives Climate Observatory at Hanimaadhoo, Maldives Meteorological Services, H. Dh. Hanimaadhoo 02020, Republic of Maldives.ORCID 0000-0003-2753-3192
August AnderssonDepartment of Environmental Science, Bolin Centre for Climate Research, Stockholm University, Stockholm 10691, Sweden.
H HolmstrandDepartment of Environmental Science, Bolin Centre for Climate Research, Stockholm University, Stockholm 10691, Sweden.
S K SatheeshDivecha Centre for Climate Change, Indian Institute of Science, Bangalore 560012, India.
Örjan GustafssonDepartment of Environmental Science, Bolin Centre for Climate Research, Stockholm University, Stockholm 10691, Sweden.ORCID 0000-0002-1922-0527

Funding

Swedish Research Council 2015-03279; 2017-01601; 2020-05384Swedish Research Council for Sustainable Development 942-2015-1061; 2020-01917
6 · The paper itself

Abstract

Effects of aerosols such as black carbon (BC) on climate and buildup of the monsoon over the Indian Ocean are insufficiently quantified. Uncertain contributions from various natural and anthropogenic sources impede our understanding. Here, we use observations over 5 y of BC and its isotopes at a remote island observatory in northern Indian Ocean to constrain loadings and sources during little-studied monsoon season. Carbon-14 data show a highly variable yet largely fossil (65 ± 15%) source mixture. Combining carbon-14 with carbon-13 reveals the impact of African savanna burning, which occasionally approach 50% (48 ± 9%) of the total BC loadings. The BC mass-absorption cross-section for this regime is 7.6 ± 2.6 m

Indexed as

air pollutionAsian aerosolblack carbonlong-range transport

Identifiers

PMID36780523
PMCPMC9974478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.