Quantifying the relevance of atmospheric blocking for co‐located temperature extremes in the Northern Hemisphere on (sub‐)daily time scales
Bibliographic record
Abstract
Atmospheric blocking can influence near‐surface temperature via circulation and radiative forcing. This study investigates the relevance of blocking for co‐located (sub‐)daily temperature extremes and the spatial variability of this relationship in the Northern Hemisphere. It is shown that over large parts of the high‐latitude continents warm temperature extremes often occur simultaneously with atmospheric blocking at the same location. Taking also weak blocks into account, more than 80% of the six‐hourly warm extremes are associated with blocking, e.g., in eastern Canada, Scandinavia and parts of Siberia. On the contrary, cold extremes typically are not related to co‐located atmospheric blocking. This difference between warm and cold extremes points to differences also in the physical driving mechanisms of the extremes. The strong linkage of warm temperature extremes and blocking should be considered when investigating changes of temperature extremes with global warming.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".