Inter-annual variability of shelf water volume on the northeastern Canadian and United States continental shelf, 1973-2013
Bibliographic record
Abstract
Understanding the waters confined to the northeastern United States and Canadian continental shelf region is essential to understanding factors which influence hydrographic patterns and structure, biota in terms of various fisheries stocks and planktonic assemblages, and how the impact of increased Arctic warming may affect the northeastern U.S. and Canadian continental shelf regions. Shelf waters (SHW) located on the continental shelf between Newfoundland and Cape Hatteras, are characterized by lower salinity (<34 PSU) and lower temperatures than slope waters bordering it farther offshore. Multiple factors impact the volume of SHW, including local and remote river runoff and precipitation, release and equator-ward transport of fresh water from the arctic and sub-polar gyre, ice melt from Greenland, along with cross-shelf removal and both vertical and horizontal mixing processes. In this work, we estimated the inter-anual variability of SHW volume between the Newfoundland shelf and Cape Hatteras from 1973 through 2013. Objectively-analyzed (OA) annual mean SHW thickness along with its mean error as a percent of the data variance were computed for each of eleven sub-regions spanning our study domain for the 41-year period. Annual SHW volume was computed for each sub-region by multiplying the grid points contained within each sub-region by their respective OA annual mean SHW thicknesses. Results show significant decreasing trends in SHW volume within 5 of the 11 sub-regions (The Grand Banks through the Eastern Scotian Shelf sub-regions) in agreement with previous work which has shown a decreasing trend of Labrador Current transport. OA annual SHW volume anomalies were cross-correlated with annual mean shelf slope front (SSF) position anomalies for corresponding sub-regions, displaying a highly significant relationship for the Georges Bank, the Mid-Atlantic Bight, and the DelMarVa Hatteras shelf with higher volumes corresponding to more offshore SSF positions. Annual mean near-surface salinities cross-correlated with OA annual SHW volume displayed significant positive correlations from the Gulf of Saint Lawrence northeast to the Newfoundland Shelf and displayed primarily negative correlations from the Gulf of Maine to the DelMarVa Hatteras sub-region. The North Atlantic Oscillation annual indices displayed only two significant cross-correlations with the OA SHW volume (Tail of the Grand Banks and Georges Bank), and there was no significant correlation computed between the OA annual SHW volume and the NAO winter index..
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".