Evidence map›Paper›PMID 40064909›Full record

ArticleScientific reports2025

Radiative impact of record-breaking wildfires from integrated ground-based data.

Evgueni Kassianov, Connor J Flynn, James C Barnard, Larry K Berg, Sherman J Beus, Xingyuan Chen, Swarup China, Jennifer M Comstock, Brian D Ermold, Abdulamid A Fakoya and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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. Review
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

22 authors.

Evgueni KassianovPacific Northwest National Laboratory, Richland, WA, USA. Evgueni.Kassianov@pnnl.gov.
Connor J FlynnSchool of Meteorology, University of Oklahoma, Norman, OK, USA.
James C BarnardUniversity of Nevada, Reno, NV, USA.
Larry K BergPacific Northwest National Laboratory, Richland, WA, USA.
Sherman J BeusPacific Northwest National Laboratory, Richland, WA, USA.
Xingyuan ChenPacific Northwest National Laboratory, Richland, WA, USA.
Swarup ChinaPacific Northwest National Laboratory, Richland, WA, USA.
Jennifer M ComstockPacific Northwest National Laboratory, Richland, WA, USA.
Brian D ErmoldPacific Northwest National Laboratory, Richland, WA, USA.
Abdulamid A FakoyaSchool of Meteorology, University of Oklahoma, Norman, OK, USA.
Gourihar KulkarniPacific Northwest National Laboratory, Richland, WA, USA.
Nurun Nahar LataPacific Northwest National Laboratory, Richland, WA, USA.
Nate G McdowellPacific Northwest National Laboratory, Richland, WA, USA.
Victor R MorrisPacific Northwest National Laboratory, Richland, WA, USA.
Mikhail S PekourPacific Northwest National Laboratory, Richland, WA, USA.
Hans J RasmussenPacific Northwest National Laboratory, Richland, WA, USA.
Laura D RiihimakiCooperative Institute for Research in the Environmental Sciences, Boulder, CO, USA.
Mingjie ShiPacific Northwest National Laboratory, Richland, WA, USA.
Manish ShrivastavaPacific Northwest National Laboratory, Richland, WA, USA.
Hagen TelgCooperative Institute for Research in the Environmental Sciences, Boulder, CO, USA.
Alla ZelenyukPacific Northwest National Laboratory, Richland, WA, USA.
Damao ZhangPacific Northwest National Laboratory, Richland, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The radiative effects of wildfires have been traditionally estimated by models using radiative transfer calculations. Assessment of model-predicted radiative effects commonly involves information on observation-based aerosol optical properties. However, lack or incompleteness of this information for dense plumes generated by intense wildfires reduces substantially the applicability of this assessment. Here we introduce a novel method that provides additional observational constraints for such assessments using widely available ground-based measurements of shortwave and spectrally resolved irradiances and aerosol optical depth (AOD) in the visible and near-infrared spectral ranges. We apply our method to quantify the radiative impact of the record-breaking wildfires that occurred in the Western US in September 2020. For our quantification we use integrated ground-based data collected at the Atmospheric Measurements Laboratory in Richland, Washington, USA with a location frequently downwind of wildfires in the Western US. We demonstrate that remarkably dense plumes generated by these wildfires strongly reduced the solar surface irradiance (up to 70% or 450 Wm

Identifiers

PMID40064909
PMCPMC11894053

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Registered trials

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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.