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Record W7161947608 · doi:10.82308/28509

Multi-century impacts of ice retreat on sea level and tides in Hudson Bay

2019· dissertation· en· W7161947608 on OpenAlexaboutno aff
Anna-Mireilla Hayden

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsIce sheetSea levelBayFuture sea levelClimate changeSea icePost-glacial reboundGreenland ice sheetBathymetryCryosphere

Abstract

fetched live from OpenAlex

Sea level change associated with ongoing and future melting of the Greenland and Antarctic Ice Sheets is one of the most threatening consequences of anthropogenic climate change and will greatly impact low-lying coastal communities. Regional sea level changes associated with changes in grounded ice mass can differ significantly from the globally averaged value due to gravitational, rotational, and Earth deformational effects. In addition to contemporary changes in the current polar ice sheets, past changes in ice sheet configurations over the last glacial cycle also contribute significantly to regional trends in sea level. This is especially true in the case of Hudson Bay, a shallow inland sea in northern Canada that was ice covered at the Last Glacial Maximum leading to ongoing crustal uplift and sea level fall of up to 1cm/year in the modern. It remains to be seen whether this trend will continue in the coming centuries as the polar ice sheets retreat because it is unclear what the dominant contributor to sea level change in the Hudson Bay will be, or even what the sign will be. Sea level changes in turn affect tidal dynamics due to the sensitivity of tides to water depth, and recent work has suggested that future sea level changes as a consequence of ice sheet collapse will impact tides globally. However, previous studies on both modern and future tides have been unable to accurately model tides in Hudson Bay due to large uncertainties in bathymetry in the bay. This thesis addresses the aforementioned knowledge gaps and quantifies the impact of past and future ice sheet retreat on sea level and tides in the Hudson Bay region. In Chapter 1, I outline the background theory on sea level and tides. In Chapter 2, I present a paper, submitted to Journal of Geophysical Research: Oceans, in which coauthors and I model sea level changes over the next 500 years associated with the combined effects of ongoing glacial isostatic adjustment and future ice loss from the Greenland and Antarctic Ice Sheets and the resulting changes in ocean tides in Hudson Bay. To establish an initial condition for the simulations, we investigate the accuracy of current bathymetry datasets in reproducing modern ocean tides measured from satellite observations. We produce a new, improved bathymetry dataset in the bay constrained, for the first time, using tide observations. It is shown that the Antarctic ice loss scenario considered determines the sign and magnitude of sea level and tide changes in the Hudson Bay region, with the largest changes projected in the adjacent Hudson Strait. Furthermore, it is demonstrated that future sea level rise would greatly affect tidal energy dissipation in the region, which could have significant and widespread impacts on the global tidal energy balance. Chapter 3 concludes this thesis with a discussion and recommendations for future directions of research and the consequences of our results on navigation, ecosystems, and societies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.805

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.038
GPT teacher head0.254
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2019
Admission routes1
Has abstractyes

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