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MIKE IO – An introduction to manipulating MIKE modelling data files with Python
MIKE IO is a free, open-source Python library for reading, writing, manipulating, and analysing MIKE modelling data files supporting scripting and automation for water modelling workflows. It provides innovative solutions through interactive notebooks, scripts in cloud processing workflows, embedded in web applications, and combination with machine learning.

This modern and efficient way of working with MIKE data files in Python ensures time-saving results for any MIKE user. Join this webinar to discover how you can benefit from MIKE IO!

We’ll cover topics such as:

- Getting started with reading, writing, manipulating and analysing MIKE data files in Python
- How to access MIKE IO’s free and open-source Python library without a MIKE license
- Facilitating scripting and automation of water modelling workflows
- Flexible data processing and visualization using the Python Data Science ecosystem
- Ensuring re-producibility
- Utilising automated workflows
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Speakers

Henrik Andersson
Utrecht University, PhD, Geosciences; University of Gothenburg, MSc, Marine chemistry @DHI
Henrik is a Senior Innovation Engineer with experience in biogeochemical modeling, statistical analysis, scientific programming, web development, and biogeochemical sampling. He has been involved in several international research projects as well as commercial projects related to data assimilation and marine forecasting.
Jesper Sandvig Mariegaard
Technical University of Denmark, PhD, Applied Mathematics; Technical University of Denmark, MSc, Civil Engineering and Applied M @DHI
Jesper is a data & modelling specialist at DHI with a PhD background in applied mathematics, hydrodynamics and scientific computing. He has been with DHI since 2009 and has worked with data assimilation, data science, machine learning, scientific software development, marine forecasting, metocean data and wave model development.