Numerical Simulation of Plankton Dynamics and its Sensitivity to Seasonal Variations in Freshwater Forcing
Bibliographic record
Abstract
A coupled physical-biogeochemical model is developed for Bay of Bengal (BoB) to simulate the plankton dynamics and examine its sensitivity to seasonal variations in freshwater forcing. Satellite-derived chlorophyll-concentration data is assimilated numerically using OA-method and SOR-algorithm for the model input. Intensification of bloom is marked on the western coast of BoB during August-September due to increased nutrients supply from runoff and wind-driven upwelling whereas in eastern coast two peaks of plankton biomass are observed in March followed by September. Apart from the coast, bloom intensification in open and southern part of BoB are linked with upwelling, entrainment-detrainment events and advection processes. Sensitivity experiments are performed based on Exp1, by doubling the freshwater discharge in Exp 1- FD D, increases the bloom by 60-65 percent; halved in Exp1-FDH reduces the bloom by 25-15 percent signifies that the freshwater plays a dominant role along the coast but nonlinearly related to plankton dynamics.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".