Lorenz ‘96 is too easy! Machine learning research needs a more realistic toy model.
Clicking on the Binder button will open an interactive notebook, in which you can reproduce all visualizations and results in this post.
I am a Staff Research Scientist at Google DeepMind. My main research interest is how to build the next generation of data-driven weather models.
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Deep Learning (for Atmospheric Scientists): How to get started
Updated version of an earlier post after version 3 of fast.ai has been released.
A simple hack to make figures reproducible
In my previous posts I explained why reproducibility is an important topic that is probably underappreciated in the weather and climate sciences at the momen...
Reproducibility, Part 2 - My experiences
In my previous blog post I explained what reproducibility is, why it is important and how it could work in a practical sense. In this post, I will outline my...
Reproducibility, Part 1 - What is it and how to start?
Before I start let me thank and give credit to Sebastian Lerch of the Heidelberg Institute for Theoretical Studies (HITS), whose slides on the topics served ...