Evidence map›Paper›PMID 33204243›Full record

ArticleAtmospheric chemistry and physics2020

Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003-2017.

Hongbin Yu, Yang Yang, Hailong Wang, Qian Tan, Mian Chin, Robert C Levy, Lorraine A Remer, Steven J Smith, Tianle Yuan, Yingxi Shi

Open access · goldAbstract read
In one paragraph

Article in Atmospheric chemistry and physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.7field-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

7 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  3. North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

10 authors at 4 institutions in 1 country.

Hongbin YuEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Yang YangPacific Northwest National Laboratory, Richland, WA, USA.
Hailong WangPacific Northwest National Laboratory, Richland, WA, USA.
Qian TanBay Area Environmental Research Institute, Petaluma, CA, USA.
Mian ChinEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Robert C LevyEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Lorraine A RemerJoint Center for Earth Science & Technology, University of Maryland at Baltimore County, Baltimore, MD, USA.
Steven J SmithPacific Northwest National Laboratory, Richland, WA, USA.
Tianle YuanEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Yingxi ShiEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Goddard Space Flight Center · USPacific Northwest National Laboratory · USAmes Research Center · USUniversity of Maryland, Baltimore County · US

Funding

Shared Services Center NASA 80NSSC19K0442
6 · The paper itself

Abstract

Emissions and long-range transport of mineral dust and combustion-related aerosol from burning fossil fuels and biomass vary from year to year, driven by the evolution of the economy and changes in meteorological conditions and environmental regulations. This study offers both satellite and model perspectives on the interannual variability and possible trends of combustion aerosol and dust in major continental outflow regions over the past 15 years (2003-2017). The decade-long record of aerosol optical depth (AOD, denoted as

Identifiers

PMID33204243
PMCPMC7668156
OpenAlexW2972191923

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.