Evidence map›Paper›PMID 35600238›Full record

ArticleJournal of geophysical research. Atmospheres : JGR2022

Effective Radiative Forcings Due To Anthropogenic Emission Changes Under Covid-19 and Post-Pandemic Recovery Scenarios.

Xiaochao Yu, Hua Zhang, Bing Xie, Zhili Wang, Shuyun Zhao, Defeng Zhao

Open access · hybridAbstract read
In one paragraph

Article in Journal of geophysical research. Atmospheres : JGR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 5 institutions in 1 country.

Xiaochao YuDepartment of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences Fudan University Shanghai China.
Hua ZhangState Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing China.ORCID https://orcid.org/0000-0003-0365-1784
Bing XieCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China.
Zhili WangState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological Sciences Beijing China.
Shuyun ZhaoDepartment of Atmospheric Science School of Environment Studies China University of Geosciences Wuhan China.ORCID https://orcid.org/0000-0001-9095-2045
Defeng ZhaoDepartment of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences Fudan University Shanghai China.
Fudan University · CNChina Meteorological Administration · CNChina University of Geosciences · CNChinese Academy of Meteorological Sciences · CNNanjing University of Information Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuation of the Coronavirus Disease 2019 (Covid-19) pandemic, the impacts of this catastrophe on anthropogenic emissions are no longer limited to its early stage. This study quantitatively estimates effective radiative forcings (ERFs) due to anthropogenic well-mixed greenhouse gases (WMGHGs) and aerosols for the period 2020-2050 under the three latest Covid-19 economic-recovery scenarios using an aerosol-climate model. The results indicate that reductions in both WMGHG and aerosol emissions under the Covid-19 green recoveries lead to increases ranging from 0 to 0.3 W m

Identifiers

PMID35600238
PMCPMC9111337
OpenAlexW4224310668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.