Modeling seasonal to interannual ocean variability of coastal British Columbia
Bibliographic record
Abstract
A regional circulation model is used to examine the ocean variability along the Pacific coast of Canada. The model domain extends from the Columbia River to the Alaska Panhandle and is applied to hindcast the period 1995–2008. An extensive model validation indicates that the modeled ocean varies realistically at the seasonal to interannual time scale, including the marked regional response to the 1997–1998 El Niño. The model is used to better understand the ocean response to direct forcing of wind and rivers over the model domain relative to variability outside of the study area. To do so, additional runs are conducted with and without river discharge and seasonal variability in wind stress as well as with and without interannual variability in lateral boundary conditions. It is shown that the seasonal variability of the coastal circulation, such as the reversal of the shelf‐break current and summer intensification of the California undercurrent, is of mixed origin, with both remote and local forcing contributing importantly. On the other hand, the modeled strong oceanic anomalies associated with the 1997–1998 El Niño originate from anomalous conditions on the lateral boundaries, except for the locally forced surface warm anomalies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".