Evidence map›Paper›PMID 33273899›Full record

ArticleAtmospheric chemistry and physics2020

On the relationship between cloud water composition and cloud droplet number concentration.

Alexander B MacDonald, Ali Hossein Mardi, Hossein Dadashazar, Mojtaba Azadi Aghdam, Ewan Crosbie, Haflidi H Jonsson, Richard C Flagan, John H Seinfeld, Armin Sorooshian

Abstract read
In one paragraph

Article in Atmospheric chemistry and physics, 2020. 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. Competition response of cloud supersaturation explains diminished Twomey effect for smoky aerosol in the tropical Atlantic.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. 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

9 authors.

Alexander B MacDonaldDepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.
Ali Hossein MardiDepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.
Hossein DadashazarDepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.
Mojtaba Azadi AghdamDepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.
Ewan CrosbieScience Systems and Applications, Inc., Hampton, VA, USA.
Haflidi H JonssonNaval Postgraduate School, Monterey, CA, USA.
Richard C FlaganDepartment of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
John H SeinfeldDepartment of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
Armin SorooshianDepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.

Funding

Shared Services Center NASA 80NSSC19K0442
6 · The paper itself

Abstract

Aerosol-cloud interactions are the largest source of uncertainty in quantifying anthropogenic radiative forcing. The large uncertainty is, in part, due to the difficulty of predicting cloud microphysical parameters, such as the cloud droplet number concentration (

Identifiers

PMID33273899
PMCPMC7709908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.