Trajectory plot

Post processing and visualization of trajectory data.

This Repository is about the processing and visualisation of a huge set of trajectory data.

Method

The trajectories are read from multiple NetCDF files and gather into a NumPy array. Unnecessary information is cropped, e.g. dead ends. Further details are explained in the Notebook.

Then 4x1 Panel plot is drawn.

1. a horizontal map of the trajectories
2. a deposition map
3. vertical dispersion of the trajectories as a time series
4. a colour bar

To plot the huge amount of data I use a fast-trajectory-plot method, which allows to draw >100k trajectories in a reasonable time.

Sample data

You can find a sample data set to run this code here.

Application

I use trajectory data from the Lagrangian particle dispersion model Itpas for this project.

This software is part of the Itpas post-processing. However, the used methods can be adapted to projects with similar problems.

Requirements

The code is written in python3 as Jupyter Notebook. A copy of the code as python script (traj-plot.py) is included but will be updated only for the release-versions.

Following packages are used:

• numpy
• matplotlib
• basemap
• NetCDF4
• time
• datetime
• os
• sys

Citation

Please cite this software as suggested by Zenodo on the right.