Evidence map›Paper›PMID 37749077›Full record

ArticleScientific reports2023

Remote sensing and model analysis of biomass burning smoke transported across the Atlantic during the 2020 Western US wildfire season.

Xavier Ceamanos, Quentin Coopman, Maya George, Jérôme Riedi, Mark Parrington, Cathy Clerbaux

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Genetic susceptibility to respiratory health effects from outdoor air pollution: a structured narrative review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Review
  4. Article
  5. 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

6 authors at 6 institutions in 4 countries.

Xavier CeamanosCNRM, Météo-France, CNRS, Université de Toulouse, Toulouse, France. xavier.ceamanos@meteo.fr.
Quentin CoopmanDepartment of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada.
Maya GeorgeLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France.
Jérôme RiediCNRS, CNES, UAR 2877 - ICARE Data and Services Center, Univ. Lille, 59000, Lille, France.
Mark ParringtonEuropean Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK.
Cathy ClerbauxLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France.
Centre National de la Recherche Scientifique · FREuropean Centre for Medium-Range Weather Forecasts · GBLaboratoire atmosphères, milieux, observations spatiales · FRMcGill University · CAUniversité de Lille · FRUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomass burning is the main source of air pollution in several regions worldwide nowadays. This predominance is expected to increase in the upcoming years as a result of the rising number of devastating wildfires due to climate change. Harmful pollutants contained in the smoke emitted by fires can alter downwind air quality both locally and remotely as a consequence of the recurrent transport of biomass burning plumes across thousands of kilometers. Here, we demonstrate how observations of carbon monoxide and aerosol optical depth retrieved from polar orbiting and geostationary meteorological satellites can be used to study the long-range transport and evolution of smoke plumes. This is illustrated through the megafire events that occurred during summer 2020 in the Western United States and the transport of the emitted smoke across the Atlantic Ocean to Europe. Analyses from the Copernicus Atmosphere Monitoring Service, which combine satellite observations with an atmospheric model, are used for comparison across the region of study and along simulated air parcel trajectories. Lidar observation from spaceborne and ground-based instruments are used to verify consistency of passive observations. Results show the potential of joint satellite-model analysis to understand the emission, transport, and processing of smoke across the world.

Identifiers

PMID37749077
PMCPMC10519943
OpenAlexW4387024957

What OpenQuestion holds

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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.