Regional differences of relative sea level changes in the Northwest Atlantic: Historical trends and future projections
Bibliographic record
Abstract
Mean sea level is one of the most important indicators for climate variability and change. Here, we use tide‐gauge data and satellite measurements to examine recent trends in the mean relative sea level (RSL) in the Northwest Atlantic. We then combine model output and satellite observations to provide sea level projections in the 21st century. The mean RSL trend based on historical tide‐gauge data shows large regional variations, from 2 to 4 mm/yr (above the global mean RSL rise rate) in the southeast to −2 mm/yr in the northwest along East Canada. This spatial difference can to a large degree be attributed to that in the vertical land motion measured by the Global Positioning System (GPS). The combination of altimeter‐measured sea level change with the GPS data can approximately account for tide‐gauge measurements at most stations over 1993–2011. When the GPS data are used, the projected mean RSL rise between 1980–1999 and 2090–2099 ranges from 38 to 63 cm along the Scotia‐Fundy and Newfoundland coasts and smaller along Labrador, the northern Gulf of St. Lawrence, and the St. Lawrence Estuary. In spite of considerable uncertainties the ocean steric and dynamical effect is the dominant contributor (35–70 cm) to the RSL rise along the Canadian east coast. The land‐ice (glaciers and ice sheets) melt contributes to the RSL rise by 10–15 cm except at Nain where it is negligible. The effect of the vertical land uplift is large (40–50 cm) at Nain, Sept‐iles and Rimouski, significantly reducing the magnitude of the RSL rise.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".