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Record W4406800053 · doi:10.1080/15230430.2024.2441541

The long multiphase trunk–tributary surge history of the high-Arctic Chapman Glacier, 1959–2023

2025· article· en· W4406800053 on OpenAlexaffabout
Wesley Van Wychen, Hester Jiskoot, Carolyn Gorwill

Bibliographic record

VenueArctic Antarctic and Alpine Research · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsQueen's UniversityUniversity of LethbridgeUniversity of Waterloo
Fundersnot available
KeywordsGlacierTributarySurgeArcticGeologyClimate changePhysical geographyEnvironmental scienceOceanographyGeomorphologyGeography

Abstract

fetched live from OpenAlex

Surge-type glaciers have been identified throughout the Canadian Arctic, but detailed surge behavior has been sparsely studied. Recent high spatiotemporal resolution satellite products enable such studies, allowing for better process-based understanding of surging in this region. Here, we present a multidecadal record (1999–2023) of flow velocities, strain rates, and elevation changes for Chapman Glacier, a 40-km-long land-terminating glacier on Umingmak Nuna (Ellesmere Island), using ITS_LIVE (Inter-mission Time Series of Land Ice Velocity and Elevation), Sentinel-1, and elevation time series data products. We further use historical remote sensing data to analyze surface morphology and displacement from 1959 to 2023. After an inferred century-long or longer quiescent phase, Chapman Glacier surged for at least twenty-two years in two successive phases. Phase 1 occurred from 2001 to 2012 and was spatially limited to the trunk, and Phase 2 started around 2012 and continues to 2024, impacting the main tributary and the lower part of the trunk. In each surge phase flow speeds increased from ~25 to >200 m a−1 over approximately ten years, propagated from up-glacier to down-glacier, and involved notable mass displacements. Our record of this high-Arctic surge and first account of a tributary–trunk surge in the Canadian Arctic contributes to the characterization of the spectrum of dynamic ice flow instabilities worldwide.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.284
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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