Evidence map›Paper›PMID 37713488›Full record

ArticleScience advances2023

Bioaerosols are the dominant source of warm-temperature immersion-mode INPs and drive uncertainties in INP predictability.

Gavin C Cornwell, Christina S McCluskey, Thomas C J Hill, Ezra T Levin, Nicholas E Rothfuss, Sheng-Lun Tai, Markus D Petters, Paul J DeMott, Sonia Kreidenweis, Kimberly A Prather and 1 more

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

11 authors.

Gavin C CornwellAtmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-4774-1282
Christina S McCluskeyDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0003-3778-4112
Thomas C J HillDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-5293-3959
Ezra T LevinDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA.
Nicholas E RothfussDepartment of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27605, USA.ORCID 0000-0002-1495-1902
Sheng-Lun TaiAtmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-9492-7979
Markus D PettersDepartment of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27605, USA.ORCID 0000-0002-4082-1693
Paul J DeMottDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-3719-1889
Sonia KreidenweisDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-2561-2914
Kimberly A PratherDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-3048-9890
Susannah M BurrowsAtmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-0745-7252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ice-nucleating particles (INPs) are rare atmospheric aerosols that initiate primary ice formation, but accurately simulating their concentrations and variability in large-scale climate models remains a challenge. Doing so requires both simulating major particle sources and parameterizing their ice nucleation (IN) efficiency. Validating and improving model predictions of INP concentrations requires measuring their concentrations delineated by particle type. We present a method to speciate INP concentrations into contributions from dust, sea spray aerosol (SSA), and bioaerosol. Field campaign data from Bodega Bay, California, showed that bioaerosols were the primary source of INPs between -12° and -20°C, while dust was a minor source and SSA had little impact. We found that recent parameterizations for dust and SSA accurately predicted ambient INP concentrations. However, the model did not skillfully simulate bioaerosol INPs, suggesting a need for further research to identify major factors controlling their emissions and INP efficiency for improved representation in models.

Identifiers

PMID37713488
PMCPMC10881078

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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.