Stephan Rasp

Well that's great. The workshop could be a perfect opportunity then to teach plebs like myself, who are scared of the cloud, how to scale up!

I will try to organize the CRM data. With regards to the overlap between train/valid, my intuition would be to ignore this for starters. But should this ever end up...

Great, thanks. I moved the to do list up to the top, so that it shows up in the project.

Some thoughts on the train/valid/test split now that we have 3 years of data (2018-2020). At first, I thought, we can just do 2018/19 for training and 2020 for validation....

I got the first working end-to-end version going. Training a categorical net, then sampling from it with a 2D correlated random field. So far, I have not actually trained it...

Early results from notebooks 01 and 02. 01 with bn, 02 without. Basically no difference, two epochs seem to be enough.   Very zero heavy and a little noisy...

Adding orography and the LSM (3 + 4) on their own doesn't really change the skill yet at all. Maybe without additional information in terms of variables this isn't enough...

Also, try the better loss!!!

Adding temperature seems to help a little (05). 

First hint: Not using the log transform makes the GAN not work. This suggests that data preprocessing is super important.