MétaCan
Menu
Back to cohort
Record W7051955182

Radar Sounding Analysis of Mountain Glaciers in Alaska: Revealing Ice Thickness, Subglacial Topography, and Geologic Structure

2023· dissertation· en· W7051955182 on OpenAlexaboutno aff

Bibliographic record

VenueUA Campus Repository (The University of Arizona) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsGlacierDepth soundingSurgeRadarCryosphereIce sheetIce capsGlacier morphologyIce stream
DOInot available

Abstract

fetched live from OpenAlex

Alaskan mountain glaciers (grouped together herein with those of Yukon and British Columbia, Canada) are melting at high rates and contributing disproportionately to global sea level rise, outpacing all glaciated regions on Earth aside from the Antarctic and Greenland ice sheets. Model projections indicate that Alaska will continue to lead glacier melting through the end of the century, contributing at least one third of a millimeter per year to global sea level rise by that time. As ice thickness measurements are only available for <2% of the world’s glaciers, projections are critically based on globally derived ice thickness models which are known to have significant uncertainties. In this dissertation we present investigations aimed at better constraining the ice thickness and subglacial topography of mountain glaciers across Alaska. We employ ice penetrating radar as our primary tool in addressing these objectives. Chapter 1 introduces the decline of mountain glaciers in Alaska and the use of ice penetrating radar to fill large data gaps and reduce uncertainty in modeled future glacier evolutions. Chapter 2 presents an analysis of NASA Operation IceBridge radar sounding data acquired over Malaspina Glacier, the world’s largest piedmont type glacier. Detailed radar mapping of the glacier’s bed reveals that Malaspina is almost entirely grounded below sea level and that distinct channels cut the bed. We show that the morphology of channels mapped at the bed of Malaspina is influenced by tectonic faults which actively accommodate convergence of the Yakutat terrane to North America. Chapter 3 explores the entirety of NASA’s Operation IceBridge radar sounding data from Alaska, providing an overview of the most extensive inventory of Alaska ice thickness measurements to date. Airborne radar sounding reveals that many of Alaska’s land- and lake-terminating glaciers have overdeepened termini – providing insight on the potential growth of new and existing proglacial lakes and associated natural hazards. Gridded measurements of ice thickness and bed elevation are presented for Bering Glacier, revealing additional tectonic structure of the Saint Elias orogen. In Chapter 4, we present a surface-based ice penetrating radar survey from Ruth Glacier on the southern flank of the Alaska Range. While we map bed depths in the amphitheater of Ruth Glacier, interpretable bed returns were not observed down-glacier within the “Great Gorge.” Downstream thickness was therefore derived through mass conservation by combining radar-derived measurements of ice thickness with satellite-derived surface velocities. This study highlights techniques to constrain ice fluxes of glaciers for which direct measurements may be unfeasible due to the glacier’s geometry. Finally, in Chapter 5 we summarize our findings and discuss the implications of this research, as well as future research opportunities.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueUA Campus Repository (The University of Arizona)Same topicMagnetic confinement fusion researchFrench-language works237,207