Annual and interannual patterns of physical oceanographic properties in the San Juan Channel: effects of external drivers
Bibliographic record
Abstract
The San Juan Channel (SJC) lies within the Salish Sea between Washington state, USA and British Columbia, Canada. As an estuary, the physical oceanographic conditions of the SJC change constantly over small and large periods of time. It is important to understand how and why these changes occur in order to understand what influences the biota of the SJC. The purpose of this study was to determine the physical oceanographic conditions of 2013, compare them to the 10 previous years of PEF research, and to evaluate the effect of external drivers. The external drivers evaluated were the discharge of the Fraser River, the fall transition from upwelling to downwelling, El Niño Pacific Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and the North Pacific Gyre Oscillation (NPGO). Weekly cruises were conducted during the fall of 2013, during which a CTD was used to measure temperature and salinity and to collect water samples for the determination of dissolved oxygen. Results revealed that the Fraser River influence on salinity was heavily affected by wind direction and strength, though the fall transition did not occur within our study period. Additionally, both ENSO and the PDO contribute to seawater temperature and the NPGO was loosely correlated with surface dissolved oxygen. The fall of 2013 was a year that clearly showed multiple sources influencing one physical oceanographic characteristic.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 teacher head, 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".