Application of a coupled atmospheric-hydrological modeling system to real-time flood forecast
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
A coupled atmospheric-hydrological modeling system is established over the Huaihe River Basin for predicting severe precipitation and real-time flood forecast.This system is the high-resolution regional atmospheric MC2 (Canadian Mesoscale Compressible Community) model that is one-way coupled to the Xinanjiang hydrological model.The system was tested for the July 4 to 15,2005 severe flood event in real-time over the basin.The MC2 precipitation is first evaluated using observations from rain gauges over the Wangjiaba sub-region.The Xinanjiang model flood forecast is then validated with the observed hydrograph at the Wangjiaba Station.MC2 performs reasonably well in predicting severe precipitation with the forecast lead time up to 96-h.The flood forecast using MC2 precipitation shows a good result of flood timing and peak discharges at the Wangjiaba Station.The encouraging result obtained in this study demonstrates the potential of using mesoscale model precipitation for real-time flood forecast,which provides a longer flood lead time compared to many traditional methods.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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