Climate change in the semiarid prairie of southwestern Saskatchewan: Temperature, precipitation, wind, and incoming solar energy
Bibliographic record
Abstract
Long-term weather data were analyzed to study annual as well as seasonal climate change within an approximately 15 000-km 2 area in the semiarid prairie near Swift Current, SK. The climate of the study region has changed over the past 50 yr. Annually, average maximum (T mx ) and minimum (T mn ) air temperatures have increased – rainfall amounts and the number of rainfall events (≥0.5 mm) have increased since the late 1960s-early 1970s; incoming solar energy has decreased, and wind speed has decreased since the early 1970s. Seasonally, for January through April (JFMA), both T mx and T mn have increased, the number of rainfall events has increased since the early 1970s, snowfall amounts and the number of snowfall events (≥0.5 cm) have decreased; the number of precipitation events (≥0.5 mm) has decreased, incoming solar energy has decreased, and wind speed has decreased since the early 1970s. For May through August (MJJA), T mn has increased, incoming solar energy has decreased, and wind speed has decreased since the mid-1970s. For September through December (SOND), the number of rainfall events has increased since the early 1970s and wind speed has decreased. Since 1950, JFMA has become drier and, relative to JFMA, SOND has become wetter. Generally, JFMA has experienced the largest change in climate, whereas SOND has experienced the least climate change. Precipitation amounts and events were negatively correlated with increasing T mx , suggesting a future decrease in precipitation amounts for southwestern Saskatchewan if global warming continues. Key words: Climate change, semiarid prairie, temperature, precipitation, wind, solar energy
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".