Effect of condensation and evaporation on the viscous-convective subrange
Bibliographic record
Abstract
The effect of condensation and evaporation on the viscous-convective subrange is investigated using a general mean-field approximation that is consistent with the nonhomogeneous vertical structure of the condensate’s first and second moments and experimental observations of mean vertical flux in a condensation cloud. Expressions for the scalar density in the Batchelor limit are derived and used to reproduce the spectral behavior of new atmospheric measurements that exhibit anomalous scaling of cloud liquid water in the near inertial-convective regime. Good agreement between the model and data are obtained when axisymmetric Kraichnan transfer of scalar variance is balanced by axisymmetric production by condensation/evaporation resulting in an isotropic contribution to the real (homogeneous) part of the spectrum. The model also assumes a significant imaginary (nonhomogeneous) component to the spectrum that is indicative of a strong vertical coherence in condensation clouds. A “production subrange” is predicted in which the scalar dissipation rate increases with increasing wave number and the usual −1 viscous-convective scaling evolves into an anomalous −3 regime. The strongly nonhomogeneous (anisotropic) character of the predicted scalar spectrum is in stark contrast with atmospheric models of inertial-convective regime cloud inhomogeneity that are used in radiative transfer calculations and are typically isotropic.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".