Interested to learn hybrid modeling

I am interested to learn about hybrid modeling (machine learning incorporated to conventional physics-based models) but unsure how to start. I have some background in numerical modeling, as in I have experience in preparing and running numerical model simulations. I would appreciate what would be a way to start getting into hybrid modeling. I have no experience in ML yet.

Thanks! :slight_smile:

Hey, you can check out the following colab notebook: Google Colab

This notebook is meant to serve as a code walkthrough for the following research paper: https://doi.org/10.1029/2022WR032404 and is for hybrid modeling for streamflow models. Not sure if you need something more specific to your goals, but this is a good start to understand the idea of integrating a Neural Net into your process-based model.