Mini Course: Particle Tracking Simulation using Ocean Parcels
Date
Location
Description
Mini Course: Particle Tracking Simulation using Ocean Parcels
Marine Biophysics Unit (Mitarai Unit) is proud to present our short-course for particle tracking modelling using The OceanParcels project's Parcels (Probably A Really Computationally Efficient Lagrangian Simulator), a collection of Python classes and methods for building customizable particle tracking simulations using output from Ocean Circulation models. Due to its Lagrangian simulation approach, Parcels is a computationally intensive application. Parcels can be used to track both passive and active particulates such as water, plankton, plastic, and fish. The course is divided into three sessions, each of which includes guided step-by-step coding exercises from computer setup and installation to output analysis. The model's output can vary depending on one's interests for different goals.
Target audience
This short course is designed for scientists who want to create particle tracking simulations using Ocean Circulation models. Prior Python experience is not required, but it will be advantageous if you have any.
Instructor
Otis Brunner & Michelia Wibowo
Schedule
Date |
Topic |
---|---|
Tuesday, Feb 7th |
Setup and installation, oceanographic data download, and plotting |
Wednesday, Feb 8th |
Customising behaviour to model simulation |
Thursday, Feb 9th |
Data analysis simulation output interpretation and plotting |
More information
The OceanParcels project's code is available under an open source MIT license and can be downloaded from http://github.com/OceanParcels/parcels or installed via http://anaconda.org/conda-forge/parcels Visit https://oceanparcels.org/ for more details
- Location: B715 in Lab 3
- Dates: February 7th, 8th, 9th.
- Time: 10:00-12:00
- Zoom link: In person
If you are interested in the course but cannot participate to this particular event, let us know and we will contact you for any later occurrence of the course.
Thank you very much for your interest.
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