Advection, Surface Area, and Sediment Load of the Fraser River Plume Under Variable Wind and River Forcing
Bibliographic record
Abstract
The Fraser River is the source of most particulate matter in the Strait of Georgia, and its dispersal is modulated by the Fraser’s plume. Here we examine the plume’s shape, location, and area, and the variation of these parameters with changes in wind and river forcing by examining a 13-year time series of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery for the concentration of suspended particulate matter (SPM). Plume shape and its variations are quantified by dividing the 904 images in this time series into subsets showing conditions under specified wind and river flow conditions and forming a composite image for each subset. Quantitative analysis of scalar quantities like plume area and mean plume SPM are based on calculated values for all individual images. The plume area increases linearly with river flow, changing by a factor of 10 between lowest and highest flows. Mean plume SPM also changes with flow but only by a factor of two. The surface area of the plume is almost completely unaffected by wind conditions. Plume location, however, is very sensitive to both wind speed and direction. It can reach across the Strait at highest river flows and is advected either northwest or southeast along the Strait in the same direction as winds on daily time scales. We also estimate the residence time of sediment in the plume to be only a few days, allowing the plume itself to reshape rapidly over short time scales in response to weather conditions.
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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".