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Ocean Climate Sciences

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Ocean Climate Sciences

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Research Frontiers in Phytoplankton Bloom Prediction Models

Develops machine learning algorithms to forecast harmful algal bloom occurrences using satellite and oceanographic data.

Neural Networks Decoding Coastal Bloom Triggers
Micronutrient Limitation Cascades in Oligotrophic Systems
Zooplankton Grazing Feedback Loops in Forecast Models
Light-Temperature Synergies Driving Spring Phenology
Viral Lysis Dynamics in Bloom Collapse Prediction
Subsurface Chlorophyll Maxima Detection and Modelling
Turbulence-Nutrient Upwelling Coupling Mechanisms
Phenotypic Plasticity in Phytoplankton Population Models
Dissolved Organic Matter Feedback in Bloom Succession
Atmospheric Deposition Events as Bloom Ignition Triggers

All Ocean-Climate Sciences PhD categories