Evidence map›Paper›PMID 41688678›Full record

ArticleScientific reports2026

Future projections of glacier mass change in High Mountain Asia using GRACE and climatemodel data.

Jaydeo K Dharpure, Ian M Howat, Akansha Patel

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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.

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0citing papers in PubMed
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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

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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.

Jaydeo K DharpureByrd Polar and Climate Research Center, The Ohio State University, Columbus, 43210, USA. jaydharpure2007@gmail.com.
Ian M HowatByrd Polar and Climate Research Center, The Ohio State University, Columbus, 43210, USA.
Akansha PatelTexas A&M AgriLife, Blackland Research and Extension Center, Temple, TX, 76502, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High Mountain Asia (HMA) is a critical region for global water resources, where glacier monitoring, modeling, and prediction are essential to understanding the impacts of climate change on water availability and related hazards. This study examined glacier mass change in HMA using terrestrial water storage anomaly data from gravity recovery and climate experiment (GRACE) and GRACE Follow-On. Our results reveal significant glacier mass loss of - 13.9 ± 3.6 Gt/yr between 2002/03 and 2022/23, with pronounced spatial variability across subregions. Eastern Kunlun shows the highest mass gain (1.1 ± 0.2 Gt/yr), while the West Tien Shan experiences the most rapid mass loss (-1.9 ± 0.4 Gt/yr). For future projections, we employed a generalized additive model driven by climate and radiative flux variables from the Inter-Sectoral Impact Model Intercomparison Project under low- (SSP126) and high-emission (SSP585) scenarios. The results indicate continued glacier mass decline, with the steepest reductions under SSP585 (- 19.5 ± 11.3 Gt/yr) compared to SSP126 (- 2.3 ± 0.3 Gt/yr). These changes occurred due to variation in climatic and radiative fluxes in both past and future projections. Overall, our study enhances understanding of cryospheric change in HMA, providing critical insights for future research, climate adaptation, and water resource management.

Indexed as

Climate changeGlacier mass changeGRACE satellitesPredictions

Identifiers

PMID41688678
PMCPMC12982487

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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.