Satellite-Based Analysis of Coastal Upwelling Variability and a Novel Index: Case Studies of the Moroccan Atlantic Coast and the Californian Coast
Bibliographic record
Abstract
This study examines the variability of upwelling along eastern boundaries, specifically focusing on two upwelling systems in the northern hemisphere: the Moroccan Atlantic coast and the Californian coast. In this study, we use a specialized archive that is both highly efficient and robust. The archive is specifically designed to tackle the challenge of detecting upwelling phenomena in satellite data. We ensure accurate and reliable results by prioritizing cloud processing in upwelling zones and questionable pixels. The description and analysis of upwelling dynamics from 2000 to 2019 include the interannual and seasonal variability, which are examined using different upwelling indices. Furthermore, this study proposes a novel index to evaluate the agreement between Sea Surface Temperature (SST) and Chlorophyll-a concentration (Chl-a) as indicators of upwelling. This index successfully captures the relationship between biological and physical components at various spatio-temporal scales, indicating its potential for use in other upwelling systems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".