The CSIRO team behind the eReefs Data Explorer and emsarray have joined forces to create a suite of Jupyter notebooks with working examples of how to use emsarray to access, manipulate and visualise eReefs model results datasets in Python.
Code Repository Location
You can find the notebooks at https://github.com/eReefs/ereefs-data-access-notebooks
Usage Instructions
For instructions about how to launch and run these notebooks, please refer to the README.md file in the code repository
Featured Examples
- Discovering eReefs dataset dimensions in real-world coordinates (rather than grid-indices)
- Extracting a timeseries at a point from eReefs model results
- Plotting data variables from eReefs model results on a map with bokeh
- Plotting data variables from eReefs model results on a map with matplotlib
- Plotting vector field variables from eReefs model results on a map with matplotlib
- Clipping (subsetting) eReefs data to a region of your choice
- Extracting eReefs transect data, as either a line or as a vertical cross-section
- Animating eReefs model results
- Generating a simulated true colour plot from eReefs BGC reflectance variables