Marked upwelling and SST drop after the arrival of cyclone Dorian to the Atlantic Canadian coast
Bibliographic record
Abstract
In intertidal environments, temperature fluctuations at hourly temporal scales are ecologically relevant because of the physiological stress that organisms must endure as a result. Tides constitute the main source of such changes, as low tides periodically expose intertidal habitats to aerial conditions, which can exhibit unusually high and low temperatures in summer and winter, respectively. The present study identifies another source of strong hourly thermal variation, one that acts only upon seawater (not air) temperature. Shortly after the arrival of cyclone Dorian to the Atlantic Canadian coast in September 2019, in-situ loggers revealed that sea surface temperature (SST) decreased in a matter of hours by 10-12 °C in intertidal environments. Data from online environmental services indicated that neither tidal amplitude nor air temperature were likely responsible for this marked SST drop. Conversely, data on wind speed support the notion that shear-induced vertical mixing of the water column caused by this cyclone was the main reason for the pronounced intertidal cooling. This is in line with previous studies that found offshore SST drops with tropical hurricanes. It remains to be seen how the observed decrease in SST may have affected intertidal organisms, as they were acclimated to summer conditions when Dorian hit the coast. As the frequency and intensity of cyclones in temperate latitudes is predicted to increase with climate change, cyclone-related intertidal thermal ecology might deserve further attention.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".