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Ricardo Torres edited this page May 23, 2023 · 2 revisions

PyLag

A Python Lagrangian particle tracking framework written against FVCOM outputs, with more models to follow.

  • Advects particles in 3D with and without horizontal and vertical diffusivity
  • Includes a random walk model

Todo

  • Add Lagrangian Coherent Structure routines
  • e.g. the Finite Time Lyapunov Exponents (FTLE) and Finite Size Lyapunov Exponents (FSLE).
  • Add support for other structured and unstructured grid models e.g. NEMO.

Download

The code is available from PML's GitHub.

For questions regarding FVCOM, to contribute to the wiki please subscribe to the mailing list uk-fvcom mailing list If you would like to cite FVCOM, please refer to its main publication and/or URLs.

Background

=== FVCOM Wiki ===

  1. Introduction

User guide

  1. Getting FVCOM

  2. Building and installing

  3. Grid considerations

  4. Setting up a simulation

  5. Additional information of less frequent usage in no particular order

    1. Output of subdomains
    2. Use of Probes
    3. Read the code
    4. Tips and tricks
    5. Semi-implicit considerations

How to cite
Licensing and copyright
Acknowledgements Policy

Build and test DOI

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