Evidence map›Paper›PMID 38688918›Full record

ArticleNature communications2024

Improved biomass burning emissions from 1750 to 2010 using ice core records and inverse modeling.

Bingqing Zhang, Nathan J Chellman, Jed O Kaplan, Loretta J Mickley, Takamitsu Ito, Xuan Wang, Sophia M Wensman, Drake McCrimmon, Jørgen Peder Steffensen, Joseph R McConnell and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. 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
3.0field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Atmospheric HNature · 2026
    Article
  2. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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 at 6 institutions in 4 countries.

Bingqing ZhangSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-8478-2016
Nathan J ChellmanDivision of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.
Jed O KaplanDepartment of Earth, Energy, and Environment, University of Calgary, Calgary, AB, Canada.
Loretta J MickleyJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7859-3470
Takamitsu ItoSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-9873-099X
Xuan WangSchool of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0002-8532-5773
Sophia M WensmanDivision of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.
Drake McCrimmonDivision of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.ORCID http://orcid.org/0000-0003-2620-1874
Jørgen Peder SteffensenPhysics of Ice, Climate, and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-5516-1093
Joseph R McConnellDivision of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.ORCID http://orcid.org/0000-0001-9051-5240
Pengfei LiuSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA. pengfei.liu@eas.gatech.edu.
Desert Research Institute · USGeorgia Institute of Technology · USCity University of Hong Kong · HKHarvard University · USUniversity of Calgary · CAUniversity of Copenhagen · DK

Funding

Georgia Institute of Technology (Georgia Tech) start-up fundingNSF | GEO | Division of Atmospheric and Geospace Sciences (AGS) 1702814NSF | GEO | Division of Atmospheric and Geospace Sciences (AGS) 2102917NSF | GEO | Division of Atmospheric and Geospace Sciences (AGS) 2102918NSF | GEO | Division of Atmospheric and Geospace Sciences (AGS) 2117844
6 · The paper itself

Abstract

Estimating fire emissions prior to the satellite era is challenging because observations are limited, leading to large uncertainties in the calculated aerosol climate forcing following the preindustrial era. This challenge further limits the ability of climate models to accurately project future climate change. Here, we reconstruct a gridded dataset of global biomass burning emissions from 1750 to 2010 using inverse analysis that leveraged a global array of 31 ice core records of black carbon deposition fluxes, two different historical emission inventories as a priori estimates, and emission-deposition sensitivities simulated by the atmospheric chemical transport model GEOS-Chem. The reconstructed emissions exhibit greater temporal variabilities which are more consistent with paleoclimate proxies. Our ice core constrained emissions reduced the uncertainties in simulated cloud condensation nuclei and aerosol radiative forcing associated with the discrepancy in preindustrial biomass burning emissions. The derived emissions can also be used in studies of ocean and terrestrial biogeochemistry.

Identifiers

PMID38688918
PMCPMC11061293
OpenAlexW4396519607

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.