Linkages between the cold summer mesopause and thermospheric zonal mean circulation
Bibliographic record
Abstract
We present the first results from the NCAR thermosphere/ionosphere/electrodynamics general circulation model (TIE‐GCM) coupled to a weather forecast/assimilation system of the lower and middle atmosphere. Our results emphasize the importance of a proper representation of the latitudinal temperature variation at the base of the thermosphere for calculating zonal mean zonal winds in the thermosphere. The inclusion of a realistic cold summer mesopause yields significantly improved agreement with climatology in the calculated thermospheric winds in the summer hemisphere. Having established this link between the temperature structure of the mesosphere and the thermospheric circulation, we next present observational evidence that the year‐to‐year variability of thermospheric winds can be linked to analogous variations in the onset of the cold summer mesopause season. Since these mesopause variations have previously been ascribed to stratospheric weather variability, by extension, our results suggest a new mode of coupling between the stratosphere and thermosphere.
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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 | 0.000 | 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 | 0.001 |
| 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".