Computational Modelling Group

Sensitivity of the critical depth to the choice of particle movement rules in Lagrangian models and the consequences for the predicted timing of the spring bloom

1st September 2013
1st December 2013
Research Team
Melissa Saeland
Tom Anderson

Individual-based (Lagrangian) models lend themselves to the study of the controls of the spring bloom in the ocean, due to their ability to represent both the turbulence and the phytoplankton motion. Here, we use a Lagrangian phytoplankton model to test some of the most prevalent hypotheses (e.g. critical depth and critical turbulence).


Life sciences simulation: Bioinformatics, Ecology

Physical Systems and Engineering simulation: Oceanography, Turbulence

Algorithms and computational methods: Agents

Programming languages and libraries: Fortran, Python

Computational platforms: Mac OS X

Transdisciplinary tags: Complex Systems, Computer Science, Quantitative Biology, Scientific Computing