Lab 12.7 – Developing Python skills with the wildfires-and-blooms lab data
Fundamental Concept:
Estimated time to complete:
Data skills preparation:
Materials needed: None
The data you have been using in this lab was collected by two moorings of the Coastal Endurance array:
- The Oregon shelf mooring (activity 12.3)
- The Oregon offshore mooring (activities 12.4-12.6)
12.1.7 Location of the Coastal Endurance Array
Before you work on this activity, you are strongly encouraged to visit:
- The Python Quick Intro activity “Pioneer MAB Storm Example Activity / Python Quickstart” on the OOI Data Python Notebooks page,
- The activities of the wildfires lab, especially the ones mentioned above.
By the end of this activity, you will be able to:
- Navigate the ERDDAP (the Environmental Research Division’s Data Access Program) server and use it to load data into a programming environment, like Google’s Colab. A more interactive way to engage with the data can be found on this page.
- Produce time-series graphs like the ones you used in activities 1-3, including atmospheric and surface-ocean parameters, using Python
- Adjust graph parameters, including colors, chemical formulas, units, axis scales, etc.
- Overlay multiple data sets on the same plot or stack graphs to generate multipanel figures
- Use your graphs to answer questions on the path of the fire plume and its impact on the water column
Connect to this optional activity which is currently only available as a Google Colab notebook.
