Higher prevalence of rising climate-driven snowmelt potential of rain-on-snow events in the Eastern Continental US

Rain-on-snow (ROS) events have significant hydro-geomorphological consequences.

By Salvi, Ghosh, Kumar +3Environmental Research LettersOct 30, 2026

Score████░░░░░░4.3

Key numbers

63% of the sites with
54.4% in the Western region
64.6% in the Central region

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Abstract

Abstract Rain-on-snow (ROS) events have significant hydro-geomorphological consequences. While these events have been widely studied, their meteorological capacity to thermodynamically alter or melt snow when unconstrained by snow amount, hereafter referred to as snowmelt potential (SMP), remains poorly understood, particularly with respect to its long-term trends. Here, we evaluate climate-driven trends in SMP, estimated as the snowmelt-inducing total surface energy flux transferred during ROS events assuming unlimited snow availability, across 8,991 sites in snow-affected regions of the continental United States over a 39-year period (1981-2019). Overall, SMP exhibits an increasing trend at ~63% of the sites with the proportion of sites showing positive trends rising from 54.4% in the Western region, to 64.6% in the Central region, and 78.4% in the Northeastern United States. The spatial pattern of SMP trends remains robust to uncertainties arising from omitted radiative fluxes and dampened wind-speed trends. High-energy ROS events are found increasing at majority of stations, with the positive trends becoming more widespread as the energy threshold rises. SMP trends are primarily governed by changes in net radiation and sensible heat flux, modulated in large part by trends of event air temperature and wind speed. Findings suggest growing meteorological hazard potential from ROS events, especially at high-SMP sites, highlighting increased risk with continued climate warming.

Kaustubh Anil Salvi, Mousumi Ghosh, Mukesh Kumar, Dalei Hao, Gautam Bisht, A.C. Lute

The editor's rubric

Heuristic review

Leverage3 / 5: A method or resource many groups across the field will adopt within a year.; 16% of this desk’s rubric
Magnitude3 / 5: Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.; 20% of this desk’s rubric
Evidence3 / 5: Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.; 20% of this desk’s rubric
Novelty2 / 5: A new combination of known ideas.; 10% of this desk’s rubric
Trajectory2 / 5: Some room to improve with obvious engineering.; 14% of this desk’s rubric
Stakes3 / 5: Meaningful benefit to many people within a few years.; 20% of this desk’s rubric

Dimension	Level	Weight	What that level means
Leverage	███░░3/5	16%	A method or resource many groups across the field will adopt within a year.
Magnitude	███░░3/5	20%	Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
Evidence	███░░3/5	20%	Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty	██░░░2/5	10%	A new combination of known ideas.
Trajectory	██░░░2/5	14%	Some room to improve with obvious engineering.
Stakes	███░░3/5	20%	Meaningful benefit to many people within a few years.

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: breadth (many tasks); gains (relative gain); design (multicenter); verification (error bars); stakes (energy, climate).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.3

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit: 5.5 / 10; Weighted rubric, evidence-gated.
Adjusted merit: 4.6 / 10; Shrunk toward the desk prior by editor confidence (42%).
Attention: 0%; Citations, upvotes, points, mentions.
Freshness: 85%; Half-life decay since publication.

Citations0 (reference 15, via openalex, Nov 1, 2026, 07:30 UTC)

The record

Reviewed by heuristic-v10 on Nov 1, 2026, 07:29 UTC. Paper type: empirical.
Categories: Cryospheric studies and observations, Climate variability and models, Precipitation Measurement and Analysis, Atmospheric Science, Earth and Planetary Sciences
BRIEF, No.2 in the Climate & Energy edition of November 1, 2026.