Evidence map›Paper›PMID 34221783›Full record

ArticleJournal of geophysical research. Atmospheres : JGR2021

Sources, Occurrence and Characteristics of Fluorescent Biological Aerosol Particles Measured Over the Pristine Southern Ocean.

Alireza Moallemi, Sebastian Landwehr, Charlotte Robinson, Rafel Simó, Marina Zamanillo, Gang Chen, Andrea Baccarini, Martin Schnaiter, Silvia Henning, Robin L Modini and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of geophysical research. Atmospheres : JGR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Impact of humidity on aerosol growth from methanesulfonic acid.Environmental science: atmospheres · 2026
    Article
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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

12 authors at 5 institutions in 4 countries.

Alireza MoallemiLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.
Sebastian LandwehrLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.ORCID https://orcid.org/0000-0003-2622-577X
Charlotte RobinsonRemote Sensing and Satellite Research Group Curtin University Bentley WA Australia.ORCID https://orcid.org/0000-0001-8519-5641
Rafel SimóInstitut de Ciències del Mar (CSIC) Barcelona Spain.
Marina ZamanilloInstitut de Ciències del Mar (CSIC) Barcelona Spain.
Gang ChenLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.ORCID https://orcid.org/0000-0002-1507-4622
Andrea BaccariniLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.ORCID https://orcid.org/0000-0003-4614-247X
Martin SchnaiterInstitut für Meteorologie und Klimaforschung Karlsruher Institut für Technologie Karlsruhe Germany.
Silvia HenningLeibniz Institute for Tropospheric Research, Experimental Aerosol and Cloud Microphysics Leipzig Germany.ORCID https://orcid.org/0000-0001-9267-7825
Robin L ModiniLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.ORCID https://orcid.org/0000-0002-2982-1369
Martin Gysel-BeerLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.ORCID https://orcid.org/0000-0002-7453-1264
Julia SchmaleLaboratory of Atmospheric Chemistry Paul Scherrer Institute Villigen Switzerland.ORCID https://orcid.org/0000-0002-1048-7962
Paul Scherrer Institute · CHInstitut Català de Ciències del Clima · ESCurtin University · AUKarlsruhe Institute of Technology · DELeibniz Institute for Tropospheric Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigate the occurrence of primary biological aerosol particles (PBAP) over all sectors of the Southern Ocean (SO) based on a 90-day data set collected during the Antarctic Circumnavigation Expedition (ACE) in austral summer 2016-2017. Super-micrometer PBAP (1-16 µm diameter) were measured by a wide band integrated bioaerosol sensor (WIBS-4). Low (3σ) and high (9σ) fluorescence thresholds are used to obtain statistics on fluorescent and hyper-fluorescent PBAP, respectively. Our focus is on data obtained over the pristine ocean, that is, more than 200 km away from land. The results indicate that (hyper-)fluorescent PBAP are correlated to atmospheric variables associated with sea spray aerosol (SSA) particles (wind speed, total super-micrometer aerosol number concentration, chloride and sodium concentrations). This suggests that a main source of PBAP over the SO is SSA. The median percentage contribution of fluorescent and hyper-fluorescent PBAP to super-micrometer SSA was 1.6% and 0.13%, respectively. We demonstrate that the fraction of (hyper-)fluorescent PBAP to total super-micrometer particles positively correlates with concentrations of bacteria and several taxa of pythoplankton measured in seawater, indicating that marine biota concentrations modulate the PBAP source flux. We investigate the fluorescent properties of (hyper-)fluorescent PBAP for several events that occurred near land masses. We find that the fluorescence signal characteristics of particles near land is much more variable than over the pristine ocean. We conclude that the source and concentration of fluorescent PBAP over the open ocean is similar across all sampled sectors of the SO.

Indexed as

Atmospheric aerosolsbioaerosolsfluorescent aerosolsmarine aerosolssea spray aerosolsSouthern Ocean

Identifiers

PMID34221783
PMCPMC8244095
OpenAlexW3160954744

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.