Python for marine modelers using MIKE IO and ModelSkill#
Would you like to use Python to become more efficient as a marine modeler?
Who should attend?#
This course has been designed for MIKE 21/3 modelers with some Python experience, e.g. from the course Getting started with dfs files in Python using MIKE IO or similar, that would like to use Python for more pre- and post-processing.
Note
This course assumes that you are familiar with Python!
Content#
The course comprises typical data processing tasks in connection with MIKE 21/3 modelling, preparing input data, converting forcing data from other formats, creating roughness maps, concatenating files, extracting data from output files (e.g. vertical profiles), visualization, assessing the skill of MIKE 21/3 by comparing to station and satellite track observation data. We will use Jupyter notebooks with Python packages such as NumPy, pandas and xarray as well DHI’s own MIKE IO and ModelSkill packages.
Benefits#
After the course, you will have improved your skills and knowledge on
Mesh and dfsu file formats
How to conduct typical MIKE 21/3 modeling workflows using MIKE IO
How to prepare inputs for MIKE 21/3 models (convert, extract etc)
How to analyse and visualise model outputs
How to extract and export data to other formats
How to do MIKE 21/3 model skill assessment with ModelSkill
Simple 1-1 comparisons
Many-to-many comparisons
Flexible aggregated statistics with a variety of metrics
Course materials#
Apart from this online book, the following material will be useful during the course: