Evidence map›Paper›PMID 38039365›Full record

ArticleScience advances2023

Threefold reduction of modeled uncertainty in direct radiative effects over biomass burning regions by constraining absorbing aerosols.

Qirui Zhong, Nick Schutgens, Guido R van der Werf, Toshihiko Takemura, Twan van Noije, Tero Mielonen, Ramiro Checa-Garcia, Ulrike Lohmann, Alf Kirkevåg, Dirk J L Olivié and 11 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Qirui ZhongDepartment of Earth Sciences, Vrije Universiteit, Amsterdam, Netherlands.ORCID 0000-0002-1397-6024
Nick SchutgensDepartment of Earth Sciences, Vrije Universiteit, Amsterdam, Netherlands.ORCID 0000-0001-9805-6384
Guido R van der WerfDepartment of Earth Sciences, Vrije Universiteit, Amsterdam, Netherlands.ORCID 0000-0001-9042-8630
Toshihiko TakemuraResearch Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-2859-6067
Twan van NoijeRoyal Netherlands Meteorological Institute, De Bilt, Netherlands.ORCID 0000-0002-5148-5867
Tero MielonenFinnish Meteorological Institute, Kuopio, Finland.ORCID 0000-0003-1496-097X
Ramiro Checa-GarciaLaboratoire des Sciences du Climat et de l'Environnement, IPSL, Gif-sur-Yvette, France.ORCID 0000-0001-7653-3653
Ulrike LohmannInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-8885-3785
Alf KirkevågNorwegian Meteorological Institute, Oslo, Norway.
Dirk J L OliviéNorwegian Meteorological Institute, Oslo, Norway.
Harri KokkolaFinnish Meteorological Institute, Kuopio, Finland.ORCID 0000-0002-1404-6670
Hitoshi MatsuiGraduate School of Environmental Studies, Nagoya University, Nagoya, Japan.ORCID 0000-0002-0376-0879
Zak KiplingEuropean Centre for Medium-Range Weather Forecasts, Reading, UK.ORCID 0000-0003-4039-000X
Paul GinouxNOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA.ORCID 0000-0003-3642-2988
Philippe Le SagerRoyal Netherlands Meteorological Institute, De Bilt, Netherlands.ORCID 0000-0002-2855-668X
Samuel RémyHYGEOS, Lille, France.ORCID 0000-0002-4584-4157
Huisheng BianGoddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland at Baltimore County, Baltimore, MD, USA.ORCID 0000-0001-5266-2127
Mian ChinNASA Goddard Space Flight Center, Greenbelt, MD, USA.ORCID 0000-0003-3384-8115
Kai ZhangPacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0003-0457-6368
Susanne E BauerNASA Goddard Institute for Space Studies, New York City, NY, USA.
Kostas TsigaridisNASA Goddard Institute for Space Studies, New York City, NY, USA.ORCID 0000-0001-5328-819X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Absorbing aerosols emitted from biomass burning (BB) greatly affect the radiation balance, cloudiness, and circulation over tropical regions. Assessments of these impacts rely heavily on the modeled aerosol absorption from poorly constrained global models and thus exhibit large uncertainties. By combining the AeroCom model ensemble with satellite and in situ observations, we provide constraints on the aerosol absorption optical depth (AAOD) over the Amazon and Africa. Our approach enables identification of error contributions from emission, lifetime, and MAC (mass absorption coefficient) per model, with MAC and emission dominating the AAOD errors over Amazon and Africa, respectively. In addition to primary emissions, our analysis suggests substantial formation of secondary organic aerosols over the Amazon but not over Africa. Furthermore, we find that differences in direct aerosol radiative effects between models decrease by threefold over the BB source and outflow regions after correcting the identified errors. This highlights the potential to greatly reduce the uncertainty in the most uncertain radiative forcing agent.

Identifiers

PMID38039365
PMCPMC10691779

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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.