Coastal Processes, Environments & Systems - Ocean Data Query¶

Available notebooks¶

In-class exercises¶

1. Gold Coast Wave Buoy / BuoyGoldCoast.ipynb¶

We plot different variables available from wave parameters collected by a wave monitoring buoy anchored in the Gold Coast.

2. IMOS data / OceanData1.ipynb¶

This notebook intends to present how to load IMOS NetCDF data into a Jupyter environment, and offers some suggestions about how to use the data once loaded.

3. ACORN data / OceanData2.ipynb¶

In this example, we first export the ACORN dataset (NetCDF) for a given region and then we plot the velocity field at a given time on a 2D grid.

Practical notebooks¶

The goals of this lab are:

• To help you get comfortable with Jupyter notebooks. (We will use it throughout our modelling lectures and practicals).
• To show you some examples of dataset coming from different systems: buoys & models.
• To familiarize you with the different open data services and the most common data formats.

1. Waverider / Waverider.ipynb¶

The NSW Wave Climate Program utilises a network of seven Waverider stations along the NSW coast. The buoys are located off Byron Bay, Coffs Harbour, Crowdy Head, Sydney, Port Kembla, Batemans Bay and Eden.

To provide deepwater wave data, the buoys are typically moored in water depths between 60 and 100 metres, between 6 and 12 kilometres from the shoreline. In this notebook, you will first load the historical records for the buoy located Offshore Sydney.

2. Ocean Forecast Model / Oceanforecast.ipynb¶

We have seen how to use real observations to assess wave conditions. Now we will work with a forecast model called FVCOM (Finite-Volume, primitive equation Community Ocean Model) and analyse the future conditions in Gulf of Maine area.