Evidence map›Paper›PMID 42056165›Full record

ArticleScientific reports2026

Impact of the 2022 heatwave and 2023 extreme summer snowfall on the mass balance of the Chhota Shigri Glacier, western Himalaya.

Himanshu Kaushik, Mohd Farooq Azam, Md Arif Hussain

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

3 authors.

Himanshu KaushikDepartment of Civil Engineering, Indian Institute of Technology Indore, Indore, 453552, India.
Mohd Farooq AzamDepartment of Civil Engineering, Indian Institute of Technology Indore, Indore, 453552, India. farooqaman@yahoo.co.in.
Md Arif HussainDepartment of Civil Engineering, Indian Institute of Technology Indore, Indore, 453552, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In summer 2022, extreme heatwaves affected many mountain ranges across the Northern Hemisphere-including the Himalaya, Alps, Rockies, and Tibetan Plateau-causing exceptional glacier mass loss. Chhota Shigri Glacier, a benchmark site for long-term monitoring in the western Himalaya, has recorded an average mass balance of - 0.47 ± 0.19 m w.e. a⁻¹ over 2002-2023. The 2021-22 hydrological year was characterized by pronounced spring and summer warming, resulting in the most negative annual mass balance in the observational record (-1.71 ± 0.24 m w.e. a⁻¹). In contrast, the following year (2022-23) exhibited a slightly positive mass balance (0.22 ± 0.27 m w.e. a⁻¹), despite 2023 registering the highest global mean temperature on record. This anomalous outcome was associated with cooler spring conditions (-1.16 °C anomaly) and exceptionally high summer precipitation. A major snowfall event in July 2023 delivered > 300 mm of precipitation over three days during the peak ablation season, increasing surface reflectivity and coinciding with a marked reduction in modeled melt. Although not derived from a full surface energy balance analysis, multiple independent indicators consistently support the interpretation of snowfall-induced melt suppression. Contrasting years such as 2021-22 and 2022-23 underscore the growing dominance of extreme weather events under continued warming. While positive mass balance years, such as 2022-23, represent a blip in the long-term glacier wastage trend, they should not be misinterpreted as a sign against ongoing climate change.

Indexed as

Climate changeExtreme eventGlacier mass balanceHeatwaveSummer snowfall

Identifiers

PMID42056165
PMCPMC13319472

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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.