Bibliographic record
Abstract
Abstract Properties of the Fraser River plume in the Strait of Georgia, BC, are significantly influenced by the tide. However, the dynamics and magnitude of this tidal influence on the plume area are not known. Here, we use 17 years of daily satellite observations of suspended particulate matter to understand the tidal variability of the plume area. A consistent inverse relationship between the Fraser River plume area and the tidal elevation with a phase lag of 1–2 hr is revealed from two independent analyses: one by correcting for temporal aliasing and extracting tidal signal from the whole image set and the other using only same‐day image pairs. The plume area increases/decreases by about 20% after ebb/flood tides, and a lower river discharge typically leads to a more dramatic tidal variation in the plume area. A simple analytical model based on the volume conservation and salinity balance equations is developed to analyze the mechanism of the tidal variability in the plume size. The observed tidal patterns of the plume area are largely reproduced using tidally modulated plume salinity (observed from instrumented ferries) and river discharge (from numerical model outputs). Tidal flux in both river discharge and entrainment rate is found to be important in explaining plume area variability.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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".