Some mechanisms of abnormal surface air temperature formation in the area of the Spitsbergen archipelago in summer
Bibliographic record
Abstract
The temperature in the Arctic is increasing faster than the global average. A question that challenges scientific community is whether the intensity and frequency of dangerous meteorological phenomena in the Arctic are increasing as rapidly. The article presents the results of examining abnormal summer seasons in the area of the Spitsbergen archipelago. The study used data on surface air temperature in Barentsburg obtained from 1912 to 2023. The regional average results showed a statistically significant linear summer trend. The mean summer temperature in Barentsburg is increasing at a rate of 0.2 °C/10 years. Positive and negative extremes of seasonal mean temperature in the summer from June to September were determined as higher than or equal to 1,5 standard deviation. The atmospheric circulation at the sea level pressure and at the height of the geopotential surface of 500 hPa is analyzed, and the localization of surface temperatures anomalies for highlighted abnormal temperature in summer season events is discussed. The results of the analysis of atmospheric circulation revealed significant differences between abnormal warm and cold summer seasons. During abnormally cold summers the circumpolar vortex is located in the polar region and causes the advection of cold air masses from the north of Greenland. In the case of abnormally warm summers the cyclonic vortex is shifted to the Canadian Arctic archipelago and the Baffin Sea, while warm air masses from the Atlantic Ocean enter the area of the Spitsbergen archipelago. The assessment of the statistical significance of the correlation between the time series of surface air temperature anomalies and the atmospheric circulation indices Arctic Oscillation, Arctic dipole, Pacific North American oscillation showed significant results in September with the Arctic Oscillation index, in August and September with the Arctic dipole index, in July with the Pacific North American oscillation index. The greatest statistically significant association of surface air temperature anomalies was found with the Arctic dipole index, the closeness of the connection in September was –0.49. Spectral analysis was carried out and the main periods of atmospheric indices fluctuations from 2–3 years to 25 years were determined.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".