Jacob Prince-Bieker

The 12 spectral bands from SEVRI are not all the same resolution, with the non-HRV being 3km resolution, and HRV being 1km, so need to figure out best way to...

Yeah, I've been looking at that code and messing around with it currently, just working out the best way to integrate all the data together

After the chat today, seems like a good one to try first would be UNET, MetNet, then something like DVD-GAN. Ideally, UNET should get fairly decent results. Also, try out...

According to https://www.climatechange.ai/papers/icml2021/54 GANs show promise for predicting future frames from current ones, the code isn't available, but they seem to use a Recurrent Unet + cGAN in their slide.

Pix2Pix does okay trying to predict the 12 satellite channels for the next half hour from the past 20min of data. I tried just half an hour in the future...

Another one is https://github.com/FrontierDevelopmentLab/PyRain which does global rain forecasting, mostly seems to be just ConvLSTM, but could have some good stuff on data preparation, etc. Or this one, which the...

https://github.com/CNALeon007/TrajGRU/blob/master/TrajGRU.py Trajectory GRU is also interesting, built specifically for precipitation forecasting, it could improve the tracking of clouds through time.

Perciever IO now is also available for predicting dense predictions: https://github.com/deepmind/deepmind-research/tree/master/perceiver

The perceiver IO is now also implemented in PyTorch here: https://github.com/lucidrains/perceiver-pytorch, https://github.com/openclimatefix/perceiver-pytorch/issues/1

[PyTorch Video](https://pytorchvideo.readthedocs.io/en/latest/models.html) has some neat built in ones, and it might also be helpful to try out https://github.com/facebookresearch/AVT and https://github.com/facebookresearch/SlowFast