Development

Suggested improvements and additions

• Include Momentary Coastline Calculation and BKL

• Include Depth of Closure - both cross-shore and elevation - check with Nicha’s work

• Include 2nd derivative method python version - based on current matlab-based method

• Include example of nourishment filter use - should work with .nc file on opendap

• Add active profile calculation based on landward variance boundary and DoC

• Add extraction of lon and lat - currently only cross-shore values are available after extraction

• Add … many other extraction methods that are available

Adding new extraction methods

The JAT currently provides a large range of extraction methods, but many more could be introduced. Below you find the most important steps for adding a new method to the JAT:

• Add the extraction method in the Jarkus_analysis_toolbox.py in class Extraction as def get_parameter (fill in appropriate name for parameter). It is best to use the other available extraction methods as inspiration so the method is comparable. For the assigment of the output into the dimensions dataframe use an appropriate variable name.

• Add an if statement for the extraction of the parameter in get_all_dimensions of Extraction class in Jarkus_analysis_toolbox.py

• Add the parameter name in the configuration file so the if statement (reference above) will work. This means the parameter name should be added in both dimensions→setting→variablename with a True/False statement, and in dimensions→variables→ variablename with the variable names as assigned in the get_parameter function, in the jarkus.yml file.

• Add these assigned variable names to the plot_tiles.yml file, so the distribution figures can be generated automatically. Note, that for cross-shore variables it is crucial to add an ‘x’ in the variable name, so it is picked up in the automatic normalization (Extraction → normalize_dimensions). Then, add a suitable title and label name for in the figure.

• Make sure to update the documentation!