Quality of reanalysis data during stratospheric vortex weakening and intensification events
Bibliographic record
Abstract
The quality of five reanalysis data (ERA, JRA‐25, NASA‐MERRA, NCEP/DOE and NCEP/NCAR) is evaluated for stratospheric vortex weakening (SVW) and intensification (SVI) events in the Northern Hemisphere winter. A case study is carried out for a record‐breaking SVW event in 2009 whose spatio‐temporal structure is well observed by the COSMIC GPS RO measurements. It is found that most reanalysis data captured this event reasonably well despite non‐negligible biases are observed at 10 hPa especially in the JRA‐25. Composite analysis further shows that the temporal structure of the SVW and SVI events, as measured by the Northern Annular Mode (NAM) index, is almost identical among the data sets. Remarkably good agreement is found not only in the onset but also in their downward propagation with time. These results indicate that reanalysis data are reliable for examining stratospheric extreme events and their impact on the troposphere in an intraseasonal time scale.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".