The Ice Crystal–Graupel Collision Charging Mechanism of Thunderstorm Electrification
Bibliographic record
Abstract
The ice crystal–graupel collision charging mechanism, which is considered important in thunderstorm electrification, was studied using the newly developed Triple Interaction Facility that allows independent control of the solid, liquid, and vapor phases of a simulated cloud. The advanced experiment led to the discovery of a new, dominant effect on charge transfer: the effect of relative humidity at which the ice crystals grow. It exceeds the impact of temperature and liquid water content (LWC). Higher relative humidity (close to water saturation) always promoted stronger negative charging, while lower humidity (close to ice saturation) led to weaker negative or stronger positive charging. The effect was greatest at temperatures of around −15°C ±3°C. Newly established was also a velocity dependence on charging with a maximum at relative graupel–air speed of ∼5 m s−1. The reversal temperature, previously considered to be unique at a given LWC, was found to be also a function of the relative humidity (RH). Now, changes in RH can explain quantitatively the differences between once controversial observations of previous investigators. A parameterization of the results is presented for use in numerical thunderstorm models, and a new conceptual model of thunderstorm electrification is suggested.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".