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Record W2068760783 · doi:10.3137/ao.420104

Data assimilation and horizontal structure of the barotropic diurnal tides on the Newfoundland and southern Labrador shelves

2004· article· en· W2068760783 on OpenAlexaffvenueabout
Zhigang Xu, John W. Loder

Bibliographic record

VenueATMOSPHERE-OCEAN · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
Fundersnot available
KeywordsBarotropic fluidGeologyData assimilationBoundary currentClimatologyContinental shelfOceanographyElevation (ballistics)Ocean currentMeteorologyGeometryGeography

Abstract

fetched live from OpenAlex

Abstract A large set of in situ currents and elevation data, and a direct inverse data assimilation model are used in conjunction ‐with global inverse tidal solutions to obtain high‐resolution regional assimilative model solutions for the barotropic K1 and 01 tides on the southern Labrador and Newfoundland Shelves. The regional model assimilates the in situ data and a first estimate of the boundary conditions provided by the global model, so that the regional solutions draw on both regional and larger‐scale observations and dynamics. The regional assimilative solutions have r.m.s. observational misfit values of the order of 2 cm for elevation and 2 cm s−1 for currents, which are reduced (compared with non‐assimilative regional solutions) by 21% and 61% for K1 and O1 elevations respectively, and by 61% and 54% for K1 and O1 currents. A striking feature of the regional model solutions is a series of small‐scale (radius of approximately 100 km) eddy‐like features along the shelf edge. Singular value decomposition (SVD) of the assimilative elevation fields reveals the existence of topographically‐trapped waves at the shelf edge. There are amplified diurnal currents over the outer shelf and slope associated with the topographic waves, pointing to the potential for topographic amplification of other subinertial currents in the region.

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 score0.010
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.197
Teacher spread0.186 · 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

Citations5
Published2004
Admission routes3
Has abstractyes

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