Evidence map›Paper›PMID 39323981›Full record

ArticlePNAS nexus2024

Repurposing weather modification for cloud research showcased by ice crystal growth.

Fabiola Ramelli, Jan Henneberger, Christopher Fuchs, Anna J Miller, Nadja Omanovic, Robert Spirig, Huiying Zhang, Robert O David, Kevin Ohneiser, Patric Seifert and 1 more

Abstract read
In one paragraph

Article in PNAS nexus, 2024. 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. 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.

Fabiola RamelliDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0003-2051-4263
Jan HennebergerDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0001-6979-3174
Christopher FuchsDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0009-0004-5669-4301
Anna J MillerDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0002-9921-8477
Nadja OmanovicDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0002-6252-5131
Robert SpirigDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0002-0868-2806
Huiying ZhangDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0002-5336-3724
Robert O DavidDepartment of Geosciences, Section for Meteorology and Oceanography, University of Oslo, Oslo 0316, Norway.ORCID https://orcid.org/0000-0002-8509-0513
Kevin OhneiserDepartment Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research (TROPOS), Leipzig 04318, Germany.ORCID https://orcid.org/0000-0002-4690-1870
Patric SeifertDepartment Remote Sensing of Atmospheric Processes, Leibniz Institute for Tropospheric Research (TROPOS), Leipzig 04318, Germany.ORCID https://orcid.org/0000-0002-5626-3761
Ulrike LohmannDepartment of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID https://orcid.org/0000-0001-8885-3785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The representation of cloud processes in models is one of the largest sources of uncertainty in weather forecast and climate projections. While laboratory settings offer controlled conditions for studying cloud processes, they cannot reproduce the full range of conditions and interactions present in natural cloud systems. To bridge this gap, here we leverage weather modification, specifically glaciogenic cloud seeding, to investigate ice growth rates within natural clouds. Seeding experiments were conducted in supercooled stratus clouds (at

Indexed as

airborne observationscloudscloud seedingice crystalsradar observations

Identifiers

PMID39323981
PMCPMC11423147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.