PATASWOT: Comprehending the physical processes impacting the PATAgonian southwestern continental shelf and adjacent open ocean using SWOT data
Bibliographic record
Abstract
The main objective of PATASWOT is to enhance our understanding of the physical processes affecting the Patagonian continental shelf and adjacent open ocean using SWOT data, traditional satellite altimetry, in situ observations and model outputs. This objective is guided by the following key research questions: (Q1) What are the main physical drivers underlying the high biological activity observed over the Patagonian shelf and slope? (Q2) Does the Malvinas Current (MC) act more as a blender or as a barrier between open ocean and shelf waters? (Q3) How are the lower levels of the trophic web, –nutrients and phytoplankton- structured within the water column and how are these distributions associated with the physical characteristic of water masses on the Patagonian shelf, slope, and beyond the MC into the open ocean? To address these questions, we propose the following specific objectives: i) Validate SWOT data and geophysical correction against in situ data in the Patagonian continental shelf and open ocean; ii) Identify the physical processes measured by SWOT during the initial 1-day repeat orbit; Iii) Characterize the water exchange between the Patagonian shelf and open ocean; iv) Discern submesoscale dynamics that modulate the distribution of surface chlorophyll, heat and carbon fluxes; v) Assess the short-term evolution of the phytoplankton community composition and biomass. The required data will be obtained through Eulerian and Lagrangian experiments. These experiments will be conducted during an oceanographic cruise on R/V Falkor (too) scheduled for September-October 2025 on the upper slope of the shelf-break. The Eulerian experiment will include physical observations (temperature, pressure, salinity, currents) using three fixed moorings. The Lagrangian experiment will involve deploying a dense array of drifters (N = 54) drogued at depths of 50 cm and 15 m. The research vessel will track the drifters, and multiple water column samples will be collected at various depths. Additionally, time series of in situ current velocities and sea level measurements are already available to validate SWOT observations during the Cal/Val period over the Patagonian shelf, as well as 23 Lagrangian trajectories collected in the Brazil Current.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".