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
- Started
- 1st September 2013
- Ended
- 1st December 2013
- Research Team
- Melissa Saeland
- Investigators
- 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).
Categories
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