The Characteristics of Near‐Equatorial North Pacific Low PV Water and Its Possible Influences on the Equatorial Subsurface Ocean
Bibliographic record
Abstract
Abstract Using SODA oceanic reanalysis data, the subduction rate and low potential vorticity (PV) water masses in the North Pacific are investigated from January 1870 to December 2008. A new low PV water mass with a large subduction rate is found near‐equatorial North Pacific, which is named as the near‐equatorial North Pacific low PV water mass (NELPVW), and it is the only one low PV water mass in North Pacific that appears an increasing trend under global warming. Among all the low PV water masses in North Pacific, only Eastern Subtropical Mode Water (EMW) and NELPVW can migrate to the equatorial Pacific and effect subsurface oceanic temperature (SOT) there. Further research shows that the subducted low PV water mass in EMW generation region can migrate to equatorial Pacific through two transport paths, which are called the Western‐EMW path and the Central‐EMW path. The analysis of Lagrange tracking shows that EMW can migrate and bring SOT anomaly to equatorial Pacific along these paths in 7 years and lead to the almost precisely opposite distributions of equatorial Pacific SOT anomaly between the strong and weak EMW subduction years, while it takes the newly discovered NELPVW less than 3 years to reach the equatorial Pacific along the Western‐NELPVW path or the Eastern‐NELPVW path after subduction. The distributions of equatorial Pacific SOT anomaly in the strong and weak NELPVW subduction years are approximately reverse too. The actual distribution of the equatorial Pacific SOT is affected by these two low PV water masses at the same time.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".