Evidence map›Paper›PMID 41142118›Full record

ArticleiScience2025

Field study for the impact of rain-on-snow events on snow cover during snow accumulation period.

Zhiwei Yang, Rensheng Chen, Zhangwen Liu, Xiongshi Wang, Guohua Liu, Shiqiang Bian, Xiangqian Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zhiwei YangInstitute of Geological Natural Disaster Prevention and Control, Gansu Academy of Sciences, Lanzhou 730000, China.
Rensheng ChenState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
Zhangwen LiuState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
Xiongshi WangInstitute of Geological Natural Disaster Prevention and Control, Gansu Academy of Sciences, Lanzhou 730000, China.
Guohua LiuCollege of Geography and Tourism, Hengyang Normal University, Hengyang 421000, China.
Shiqiang BianInstitute of Geological Natural Disaster Prevention and Control, Gansu Academy of Sciences, Lanzhou 730000, China.
Xiangqian LiGansu Academy of Sciences, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of rain-on-snow (ROS) events on snow cover is a key to uncovering disaster mechanisms of ROS events, but related research is currently lacking. Therefore, we conducted a field study to investigate the effects of ROS events on snow cover during snow accumulation period. The results showed that ROS events accelerated the decrease rate of snow albedo and altered the metamorphic processes of snow layer. Additionally, ROS events were more likely to form ice layers on snow surface during snow accumulation period, and once formed, these ice layers did not melt for several days, affecting the survival of foragers and hoofed animals. Changes in snow surface also altered heat transfer processes within snow cover, affecting the energy balance of permafrost. More interestingly, ROS events reduced the decrease rate of snow depth during snow accumulation period. These findings provided scientific basis for further understanding of ROS events and their disaster mechanisms.

Indexed as

Earth sciencesEnvironmental scienceNatural sciences

Identifiers

PMID41142118
PMCPMC12546960

What OpenQuestion holds

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LicenceCC BY-NC
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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.