Modelling Climate Impacts on Hydrologic Processes in the Lake Winnipeg Watershed
Bibliographic record
Abstract
This paper presents results of spatial and temporal analyses of hydro-climatic regimes and simulation of climate-induced hydrologic changes in the Lake Winnipeg watershed. The hydrologic and agricultural chemical yield model, Soil and Water Assessment Tool (SWAT), was employed for the simulation of hydrologic scenarios in the Upper Assiniboine catchment of the Lake Winnipeg watershed, Canada. Analyses of future climate projections from three regional climate models (RCMs) corresponding to the SRES's A2 emission scenario, indicate that the total annual precipitation will increase by 5.5-7.5 % in 2041-2070 compared to 1971-2000, while temperature will increase by 2.0- 2.9° C during the same period. Hydrologic scenarios simulated with the SWAT model project consistent changes in future snowmelt driven runoff, with an earlier onset of spring snowmelt and discharge peaks. Some of the results also show increases in discharge peaks. These changes can be expected to have implications on water availability and nutrient transport regime in the Lake Winnipeg watershed.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".