The strongly damped baroclinic response to wind in a multibasin reservoir
Bibliographic record
Abstract
Field data and a forced, modal‐based, two‐layer, variable‐cross‐section model (TLVC) were used to examine the baroclinic response to wind in a large multibasin reservoir, Nechako Reservoir (British Columbia, Canada). The TLVC showed that most of the thermocline deflections at the dam could be accounted for by considering the first two basins upstream of the dam, Knewstubb and Natalkuz Lakes, and that the thermocline deflections were dominated by the first (H1) and second (H2) horizontal baroclinic modes of the combined basins. Calibration of the TLVC against the field data showed that the H1 and H2 modes were strongly damped, with effectively no free thermocline oscillations. This strong damping had two effects: high coherence between the wind and thermocline deflections and phase lags between thermocline deflections at different locations. The damping in Nechako Reservoir is stronger than in many lakes, and results from both high velocities within the geometric constriction between Knewstubb and Natalkuz Lakes and drag due to submerged trees, which cover 30% of the bed. Our study provides a picture of overdamped baroclinic response and shows how useful information about the baroclinic response in complex bathymetries can be obtained using relatively simple tools such as the TLVC.
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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".