A high‐resolution assimilating tidal model for the northeast Pacific Ocean
Bibliographic record
Abstract
A high‐resolution, nonlinear, barotropic, finite element tidal model is developed for removing tidal elevations from satellite altimeter observations in the northeast Pacific Ocean. Surface elevations and currents for the constitutents M2, S2, N2, K2, K1, O1, P1, and Q1 are computed using boundary forcing from the Oregon State University global tidal model, TPXO.3, and the effects of the tidal potential, Earth tide, and ocean self‐attraction and loading. Amplitudes and phases computed from the harmonic analyses of altimeter time series at crossover locations along the tracks of the TOPEX/Poseidon satellite are assimilated into the model, and the corrected harmonics are compared with pelagic and coastal tide and pressure gauge measurements, and with the TPXO.3 and FES95.2.1 global models. Diurnal tidal currents along the British Columbia and Alaska continental shelves are shown to be strongly influenced by the presence of continental shelf waves. The surface manifestation of these waves is clearly evident in K1 coamplitude plots. K1 and M2 energy fluxes are calculated along these shelves and the potential generation of internal tides is discussed. Barotropic tidal dissipation is estimated in several key subregions, and the M2 total for the Gulf of Alaska is found to be approximately half that of previous estimates.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".