Assessment of Diurnal Variability and Region-Specific Connection across Intensity, Depth & Duration of Rainfall
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rainfall remain foremost input entity for regulating any kind of dynamics of water resource systems on the earth. Its correct study and understanding of rainfall are highly crucial in hydrology or any kind of water resource system, to evolve and judge effective management and development of prevailing terrestrial and aquatic ecosystems. This study is focussed towards analysing the diurnal variability of rains with region-specific connectiveness across intensity, depth and duration of Rainfall for central region of Gujarat; having semi-arid climate. It investigates spatio-temporal dynamics of rains at multiple situations, for the situations where a majority of rainfall occurred during a single quarter of the day (i.e., a 6-hour period). An in-depth elaboration on quarter wise distribution of such daily rainy event ( covering 20 years time span) is offered, which revealed that the maximum number of storms occurred in second quarter Q2 (06:00 to 12:00 hours) while the least in first quarter Q1 (24:00 to 06:00 hours). Three sets of time series of maximum rain intensities (one each for 20, 10 and 5 years, recurrence interval i.e. RI) are also attempted to demonstrate an inclusive scenario in regards to intensity-duration characterizations of rain, cutting across various locations and years of observations. Location specific relationships among depth & durations and intensity & duration are generated with exhaustive comparisons, under 3 specific recurring interval period (5, 10, 20 years) for all the 6 rain stations as adopted herein.
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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 | 0.000 | 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 it