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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.