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Record W2635389085 · doi:10.14943/doctoral.k12691

Dynamics of surge-type glaciers in Yukon, Canada, revealed by multi-satellite images

2017· article· en· W2635389085 on OpenAlexaboutno aff
隆博 阿部

Bibliographic record

VenueHokkaido University Collection of Scholarly and Academic Papers (Hokkaido University) · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsSurgeSatelliteGlacierGeologyDynamics (music)Remote sensingClimatologyMeteorologyPhysical geographyGeodesyGeographyGeomorphologyAstronomyPhysics

Abstract

fetched live from OpenAlex

Surge-type glaciers repeatedly oscillate between a short active phase characterized by order-of-magnitude speed-up and a long quiescent phase. During the active phase, a significantlylarge volume of ice is transporteddownstream, causing surface elevation changes and terminus advance, as well as forming heavily-damaged crevasses and looped moraines. On the other hands, in the quiescent phase, they flows lowly or become stagnant in the downstream area, leading to ice thickeningin the reservoir area. The imbalanced flow results in retreat and thinning in the receiving area. Surge-type glaciers are distributed in specific areas, and one of highly concentrated zones is near the border of Alaska and Yukon, Canada. In this area, glacier surge often initiates in winter, but the triggering mechanism remains unclear. An extensive ground-based observation on the 1982-83 Variegated Glacier’s surge has brought a fundamental idea of surge generation mechanism. However, there remainsa question as to how basal water pressure increase and subsequent speed-up can be maintained without further input of meltwater from the surface. Moreover, it remains uncertain what controls the surge cycle, and generates the pre-condition before surging. To answer these questions, we used multi-satellite images to reveal dynamics of surge-type glaciers in Yukon, Canada. The detailed spatial and temporal changes in ice speed cantell us new insight into behaviors of surge-type glaciers during both quiescent and active phases. Surface elevation change data can show the place where surge initiates and how the surge front propagates downstream. Spatial patterns of looped moraines can reveal how the tributaries affects the trunk before and during surge.This thesis includes the following four topics; 1) Winter speed-up of quiescent surge-type glaciers in Yukon, Canada;2) Basal condition in winter using numerical glacier hydrological model;3) Twelve-year cyclic surging episodes at Donjek Glacier in Yukon, Canada;4) Surge dynamics ofSteele Glacier in Yukon, Canada, revealed by multi-satellite images. All these results have significant implications for better understanding the dynamics of not only surge-type glaciers but also glaciers and ice sheets in general.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.171
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.193
Teacher spread0.177 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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