Prevailing Climate Patterns for Concurrent High Temperature and Low Precipitation Days in Canada
Bibliographic record
Abstract
Abstract In this work, we evaluated the changing frequency of concurrent daily High Temperature and Low Precipitation (HTLP) and its relationship with large‐scale climate patterns across Canada. Our analysis showed a significant increase (up to 3 days/decade) in the Canadian Arctic and southern regions of British Columbia and an insignificant decrease in HTLP frequency in the Prairies of Saskatchewan and Manitoba during 1979–2018. We examined ten large‐scale climate patterns influencing precipitation and temperature in Canada. Among these, four climate indices (the East Pacific‐North Pacific Pattern, North Atlantic Oscillation, Oceanic Niño Index, and East Atlantic Pattern) were noted as significant influencers of HTLP frequency, ranked in descending order of influence. Our research holds significance in explaining the spatial dynamics of HTLP days and the role of large‐scale climate patterns therein, providing valuable insights for future research on heatwaves and droughts, mitigation efforts, and policy changes tailored to vulnerable regions.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".