A Preliminary Investigation into the Annual Rainfall Trend and Patterns for Selected Towns in Parts of South-Eastern Nigeria
Bibliographic record
Abstract
Thirty – five (35) years (1971-2006) annual rainfall figures from three towns in Humid South-eastern Nigeria have been analysed for climatological baseline pattern and trend. Rainfall is choosen based on its importance while Calabar, Uyo and Umuiahia have synoptic stations with standard instruments and trained personnel hence reliable data. Rainfall is characteristically Humid with very high annual totals and ranges etc. There is statistically significant association of the baseline descriptive parameters and the region (x2c > x2t = 3759.96 > 16.8) at 99% confidence. No particularly clear fluctuating patterns or periodicities but trend analysis with the least square regression model suggest significantly declining trends for Uyo and Umuiahia. And have been statistically modeled for predictive and scientific management purposes as; Y = 3191.23 – 36.16x + e and; Y = 2955.20 – 31.50x + e respectively. Annual rainfall projections up to year 2015 have been carried out while further studies with urbanization and transportation as well as potential impacts in the area are suggested.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".