The National Severe Storms Laboratory Historical Weather Data Archives Data Management and Web Access System
Bibliographic record
Abstract
The NOAA/National Severe Storms Laboratory Historical Weather Data Archive (NSSL HWDA) is a new Web-based data portal that delivers surface and upper-air data to the online user through horizontal maps, vertical profiles on skew T-logp charts, time series, and ASCII data listings. The data are primarily from the United States and Canada, but some worldwide data are available, especially after 1998 for surface data and 2000 for upper-air data. The surface data come primarily from the merger of two datasets from the NOAA/National Climatic Data Center (TD-3280 and DATSAV2) and are most complete from 1973 to 2003. The upper-air data come from the North American Radiosonde Database and are most complete from 1946 to 2003. This article discusses the datasets, software, and capabilities of the NSSL HWDA. Future opportunities for improvements and additions to the NSSL HWDA are also described. ©2006 American Meteorological Society.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.058 |
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 source (direct Gemma or distilled Codex), 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".