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Record W4406125151 · doi:10.1002/ppp.2258

Nearshore Hydrodynamics and Sediment Dispersal Along Eroding Permafrost Coasts—Insights From Acoustic Doppler Current Profiler Measurements Around Herschel Island–Qikiqtaruk (Yukon, Canada)

2025· article· en· W4406125151 on OpenAlexfundaboutno aff
Justus Gimsa, Michael Fritz, Hugues Lantuit

Bibliographic record

VenuePermafrost and Periglacial Processes · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
FundersHorizon 2020European CommissionAurora Research Institute
KeywordsAcoustic Doppler current profilerPermafrostGeologyOceanographySedimentBiological dispersalCurrent (fluid)GeomorphologyPhysical geographyGeography

Abstract

fetched live from OpenAlex

ABSTRACT Permafrost coasts are eroding at an accelerating pace, delivering vast amounts of sediments, organic matter, nutrients, and pollutants into the Arctic Ocean. These fluxes play a crucial role in the coastal biogeochemical cycle, yet their magnitude, as well as the trajectory and fate of the eroded material, is largely unknown. Direct observations of hydrodynamics in the Arctic nearshore zone are needed to overcome this issue, but these are challenging and scarce. Here, we report on direct current measurements performed in the nearshore zone. We deployed two Acoustic Doppler Current Profilers (ADCP) in 7‐ and 12‐m water depth close to Herschel Island–Qikiqtaruk Yukon, Canada, to measure current velocities and directions throughout the water column. The data show that the currents change on a synoptic scale based on meteo‐oceanographic forcing. During storms, these currents exceed the threshold of bottom sediment remobilization. The mobilization potential in the nearshore zone is therefore primarily related to wind forcing but can be strongly diminished by the presence of sea ice. These observations have implications for the future state of the Arctic nearshore zone, because larger fetches and a longer open water season could enhance sediment mobilization and dispersal.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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