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This repository has been archived by the owner on Nov 29, 2023. It is now read-only.
https://www.iarai.ac.at/weather4cast/ (on GitHub here: https://github.com/iarai/weather4cast) has some nice weather data from around the world, including cloud masks, all at 4km resolution, so similar to what EUMETSAT gives. This could be useful for pretraining any of the models before finetuning more on our specific data.
Context
Pretraining has been proven to help quite a bit in large models, so this might help there.
Interestingly, they use MSE as their loss function for it all, even though its a video prediction task, and they want the next 8 hours of data predicted. So maybe MSE isn't the worst?
Possible Implementation
Download the data, and run some models on it.
The text was updated successfully, but these errors were encountered:
Actually, this is EUMETSAT data! Including some of the optimum cloud masks, and I am assuming the 15 minute full disk images. So for transfer learning this would actually probably be quite useful?
Detailed Description
https://www.iarai.ac.at/weather4cast/ (on GitHub here: https://github.com/iarai/weather4cast) has some nice weather data from around the world, including cloud masks, all at 4km resolution, so similar to what EUMETSAT gives. This could be useful for pretraining any of the models before finetuning more on our specific data.
Context
Pretraining has been proven to help quite a bit in large models, so this might help there.
Interestingly, they use MSE as their loss function for it all, even though its a video prediction task, and they want the next 8 hours of data predicted. So maybe MSE isn't the worst?
Possible Implementation
Download the data, and run some models on it.
The text was updated successfully, but these errors were encountered: