Solar heating by the near‐IR CO<sub>2</sub> bands in the mesosphere
Bibliographic record
Abstract
Absorption of solar energy by the near‐infrared (NIR) CO2 bands provides an important source of heating in the mesosphere. At 60–85 km, this source exceeds 1 K day−1 and contributes up to 30% of the total solar heating. Calculation of the solar heating in the NIR CO2 bands requires consideration of complex non‐local thermodynamic equilibrium (non‐LTE) processes. The small energy effect, narrow region of importance, and the necessity to consider non‐LTE effects, have accounted for the absence of an adequate parameterization for the NIR CO2 bands. Recently a parameterization has been developed and implemented into the Canadian Middle Atmosphere Model. Numerical experiments with this model have shown that inclusion of the NIR CO2 heating results in a significant warming of up to 8 K in the mesosphere for the current CO2 amount but does not significantly change the model thermal response induced by the doubling of CO2.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".