Lagrangian Filtering

lagrangian-filtering is a library for performing temporal filtering of data in a Lagrangian frame of reference. The library is written in Python, leveraging the flexible OceanParcels library for efficient Lagrangian transformation offloaded to a just-in-time compiled C kernel. The source code of this library can be found on GitHub.

Documentation

• Installation
• Algorithm
• Specifying Input Data
• The Filter Object
• Exploring Lagrangian Data
• Examples
• Common issues
• Contributing
• API

Citing

The description and analysis of the Lagrangian filtering method has been published in JAMES, and can be cited as:

Shakespeare, C. J., Gibson, A. H., Hogg, A. M., Bachman, S. D., Keating, S. R., & Velzeboer, N. (2021). A new open source implementation of Lagrangian filtering: A method to identify internal waves in high-resolution simulations. Journal of Advances in Modeling Earth Systems, 13, e2021MS002616. https://doi.org/10.1029/2021MS002616

Indices and tables

• Index
• Module Index
• Search Page