LAMTA (LAgrangian Manifolds Tracking Algorithm) is a Python code designed to compute numerical particle trajectories within ocean current 2-D fields and to derive a range of Lagrangian diagnostics for detecting and tracking (sub)mesoscale ocean features.
Full documentation for LAMTA, including installation instructions and general usage, is available here
Hands-on tutorials and example workflows are provided as Jupyter notebooks and are documented separately.
- The LAMTA Examples documentation is available here
- The corresponding GitHub repository can be found here
The examples cover topics such as:
- Initialising and advecting particles in analytical flows
- Working with
ParticleSet - Configuring advection schemes and parameters
- Handling periodic boundary conditions
- Applying LAMTA to realistic ocean current fields
A dedicated manuscript is currently under development to describe the theoretical background, numerical methods, and applications of LAMTA in detail.
The development of LAMTA has been supported by the following organisations:
- LOCEAN — Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques, Sorbonne University
- CNES — Centre National d’Études Spatiales
The development of LAMTA has benefited from the remarkable coding efforts and scientific contributions of:
- Louise Rousselet
- Francesco d’Ovidio
- Gina Fifani