Evidence map›Paper›PMID 39270018›Full record

ArticleScience advances2024

Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau.

Jingchuan Chen, Jianzhong Xu, Zhijun Wu, Xiangxinyue Meng, Yan Yu, Paul Ginoux, Paul J DeMott, Rui Xu, Lixiang Zhai, Yafei Yan and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Jingchuan ChenState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-5200-982X
Jianzhong XuSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China.
Zhijun WuState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-7705-2373
Xiangxinyue MengState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0009-0005-9655-5119
Yan YuDepartment of Atmospheric and Oceanic Sciences, School of Physics, Institute of Carbon Neutrality, Peking University, Beijing 100871, China.ORCID 0000-0003-2233-344X
Paul GinouxGeophysical Fluid Dynamics Laboratory, NOAA/OAR, Princeton, NJ, USA.ORCID 0000-0003-3642-2988
Paul J DeMottDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USA.ORCID 0000-0002-3719-1889
Rui XuDepartment of Atmospheric and Oceanic Sciences, School of Physics, Institute of Carbon Neutrality, Peking University, Beijing 100871, China.
Lixiang ZhaiState Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
Yafei YanSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China.
Chuanfeng ZhaoDepartment of Atmospheric and Oceanic Sciences, School of Physics, Institute of Carbon Neutrality, Peking University, Beijing 100871, China.ORCID 0000-0002-5196-3996
Shao-Meng LiState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-7628-6581
Tong ZhuState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-2752-7924
Min HuState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0003-4816-9123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ice-nucleating particles (INPs) can initiate cloud ice formation, influencing cloud radiative effects (CRE) and climate. However, the knowledge of INP sources, concentrations, and their impact on CRE over the Tibetan Plateau (TP)-a highly climate-sensitive region-remains largely hypothetical. Here, we integrated data from multisource satellite observations and snowpack samples collected from five glaciers to demonstrate that dust particles constitute primary INP sources over the TP. The springtime dust influxes lead to seasonally elevated ice concentrations in mixed-phase clouds. Furthermore, the decadal reduction in dustiness from 2007 to 2019 results in decreased springtime dust INPs, thereby amplifying the cooling effect of clouds over the TP, with a 1.98 ± 0.39-watt per square meter reduction in surface net CRE corresponding to a 0.01 decrease in dust optical depth. Our findings elucidate previously unidentified pathways of climate feedback from an atmospheric INP perspective, especially highlighting the crucial role of dust in aerosol-cloud interactions.

Identifiers

PMID39270018
PMCPMC11397500

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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.