The Lifecycle of Marine Fog in the Coastal Zone
Bibliographic record
Abstract
Fog is a collection of suspended water droplets or ice crystals in the atmospheric boundary layer that appears under favourable dynamic, thermodynamic, chemical, and surface conditions with visibility less than 1 km. Fog negatively affects society due to its ability to reduce visibility, which leads to economic losses of the same enormity of tornadoes. Notwithstanding extensive research, the ability to predict fog accurately is limited. Coastal fog is particularly difficult to predict because of the complex interactions between the lower atmosphere, upper ocean, and land surface. This dissertation presents several cases studies that aim to improve the understanding of coastal fog. The first part of the dissertation investigates a captivating fog dissipation event that was observed during the ’Fog and Turbulence Interactions in the Marine Atmosphere’ (FATIMA) project’s Grand Banks field campaign in the North Atlantic, where a fog-free region appeared immediately downstream of an islet (Sable Island) as fog advected past it. The second part concerns a mixing-fog event that appeared during the C-FOG field campaign off the coast of Newfoundland, Canada, where an oceanic cold front collided with a peninsula to produce misty/foggy conditions. In the third part of the dissertation, to aid fog prediction using numerical weather prediction models, a comprehensive set of laboratory experiments was conducted to quantify mixing as a function of the obstacle height.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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".