Predictability of surface currents and fronts off the Mississippi Delta
Bibliographic record
Abstract
Mississippi delta and adjacent coastal areas are at constant risk from oil spills. Oil spill modelers have traditionally based predictions of oil movement on the surface wind field and limited knowledge of surface events, Frontal zones can control the oil movement of oil, in opposition to the prevailing winds and can provide efficient natural traps for spilled oil. National Oceanic Atmospheric Administration AVHRR surface temperatures and reflectance information was used to reveal important aspects of surface circulation, frontal locations, and temperature structure of the waters surrounding the Mississippi River delta. River discharge was found to control the amount of water surrounding the delta and the locations of fronts. Higher river discharge moved the fronts seaward. Strongest current velocities in the gyre occurred on the southwest flank, where offshore water masses were also entrained into the Louisiana Bight. The northwestward flow toward the coast made the coastal area between Barataria Bay and Terrebonne Bay highly susceptible to coastal damage due to spilled oil and other contaminants. In contrast, west winds force the Southwest Pass plume towards the south and east and effectively reversed surface flow south of the delta. The clockwise gyre was disrupted by this wind field and by the lack of source waters. Most regions were least susceptible to oiling with northwest winds that tranport material seaward. This is an abstract of a paper presented at the 24th Arctic and Marine Oilspill Program Technical Seminar (Edmonton, Alberta, 6/12-14/2001).
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".