This page contains links to various resources for modelling and analysing oceanographic observations to understand internal waves.

Internal Wave Climatology

We have created an internal tide climatological atlas for northern Australia using output from a 3D hydrostatic ocean model - SUNTANS. Ocean state variables (currently only density) were decomposed into tidal harmonic consituents and vertical normal modes to provide succinct maps of the internal tide amplitude for different time periods.

Code and Documentation

Code with binder examples is available on github

Currently, there is a presentation describing the methodology that I gave at the Australian Coastal Ocean Modelling and Observation workshop in Canberra, October 2018.

Download

  • Links to download the climatology data can be viewed in the github iwatlas repository.

Weakly nonlinear internal wave (KdV) solver

Code for calculating numerical solutions to the Korteweg - de Vries (KdV) equation for internal gravity waves in a continuously stratified fluid is available on github.

KdV

Code

Ocean Modelling

I have developed several tools for the pre/post-processing of numerical model and oceanographic measurment data. The majority of these are written in python and are hosted on either github or bitbucket. This includes:

  • Python oceanographic data analysis toolbox SFODA
  • SUNTANS ocean model github page
    • There is some documentation for setting up SUNTANS with python here