Evidence map›Paper›PMID 41851288›Full record

ArticleScientific reports2026

The snow meteorology and phenology classification (SnowMAP): global snow cover observations enhance snow's representation.

Jeremy Johnston, Jennifer M Jacobs, Megan Vardaman, Eunsang Cho

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

4 authors.

Jeremy JohnstonEarth Systems Research Center, University of New Hampshire, Durham, NH, USA. Jeremy.johnston@unh.edu.
Jennifer M JacobsEarth Systems Research Center, University of New Hampshire, Durham, NH, USA.
Megan VardamanDepartment of Civil and Environmental Engineering, University of New Hampshire, Durham, NH, USA.
Eunsang ChoIngram School of Engineering, Texas State University, San Marcos, TX, USA.

Funding

Cold Regions Research and Engineering Laboratory W913E523C0004
6 · The paper itself

Abstract

Snow is a vital water resource that regulates climate, supports ecosystems, and influences economies and transportation systems, making it essential to understand its physical properties and the seasonal timing of its presence (phenology). However, current snow classifications separate snow's meteorological controls from its phenology, limiting its decision-relevance. This study introduces SnowMAP, a global snow classification system that combines snow meteorological and phenology classes. By integrating meteorological factors such as snowfall, temperature, and wind with seasonal dynamics like snow presence and melt timing, SnowMAP provides a more complete view of global snow conditions. The resulting 18 snow classes reflect notable variations in snow depth, geography, land cover, and infrastructure. SnowMAP provides a unified framework for describing how a snowpack forms and evolves, enabling scientists, planners, and communities to better understand snow conditions and their impact on the natural and built environments.

Identifiers

PMID41851288
PMCPMC13136412

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.