Relative sea-level projections for Canada based on the IPCC Fifth Assessment Report and the NAD83v70VG national crustal velocity model
Bibliographic record
Abstract
This report provides national and regional maps and national geospatial data files (geoTIFFs) of projected relative sea-level change across Canada for 2006 and every decade from 2010 to 2100. It updates and augments previous reports which included plots and tables of projected relative sea-level change at specified locations where a measurement of vertical land motion had been made by Global Positioning System (GPS). Here, gridded projections are provided at a resolution of 0.1º in latitude and longitude encompassing all coastal regions of Canada. The relative sea-level projections are based on the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5) and on the NAD83v70VG national crustal velocity model. Projections are relative to 1986-2005, and are given for the median value and 5th and 95th percentiles for Representative Concentration Pathway (RCP) scenarios RCP2.6, RCP4.5, and RCP8.5. As well, the projected sea level at 2100 is given for an enhanced scenario where Antarctica is assumed to provide an additional 65 cm of global sea-level rise to the median projection of RCP8.5. For many purposes, the upper (95th percentile) of the high-emission RCP8.5 scenario may comprise the appropriate planning level, but if tolerance to the risk of sea-level rise is low, it may be appropriate to consider a larger amount of projected sea-level rise.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".