Local and Regional Trends in Monthly Maximum Flows in Southern British Columbia
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Bibliographic record
Abstract
The potential impact of climate change on the hydrologic regime is an important topic in contemporary hydrology.A number of studies have been conducted to identify climate change signals in annual maximum flood records.However less attention has been paid to changes in the regime of flood events of smaller return periods.The overall trend observed in annual maximum flood records gives limited information about intra-annual changes in the hydrological regime of extreme flows.The trends in monthly maximum flows at local and regional scales in a hydro-climatologically homogeneous region from a 1A-year common observation period are explored in this study.tends are identified using the Mann-Kendall non-pafametric test with a modification for auto-correlated data.The regional significance of trends identified at the 1ocal scale is evaluated by means of a regional bootstrap algorithm that preserves the regional cross-correlation structure.Regional average magnitudes of the trend in monthly maximum flows from a comrrlon observation period are estimated over the selected region by means of the ordinary block kriging technique and are compared with results obtained from annual maximum flood records.The results show significant changes in the intraannual monthly maximum flow regime in southern British Columbia.RESUME Les r6percussions dventuelles du changement climatique sur le rdgime hydrologique constituent un thdme important de l'hydrologie contemporaine.Un certain nombre d'6tudes ont 6t6 men6es pour cerner les indices de changement climatique dans les enregistrements de crues maximales annuelles.Cependant, une attention moins grande a 6t6 port6e aux changements touchant le rdgime des inondations des p6riodes de retour plus courtes.La tendance globale observ6e pour les enregistrements de crues maximales annuelles fournit des donn6es limit6es iL propos des changements intra-annuels du
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it