You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Using a high-resolution subset within a global model is quite interesting to get the higher resolution required. Anemoi datasets works to do that as well, making the cutouts.
Possible Implementation
Import the package and use that? Copy over the cutout functionality? As otherwise, its a light wrapper around Zarr stores, which we already support.
The text was updated successfully, but these errors were encountered:
Hi, we just want to make it so we can train with the anemoi datasets package. It has some nice functionality, so would want to add it to the different ways of loading weather datasets. Probably as another option in the data/ module here, somewhat like the IFS dataloader.
The easiest would probably be either WeatherBench, or get it working with the ICON archive that we've made on Hugging Face.
With the ICON EU and ICON Global datasets on HF, we could get the loading of a low resolution global model + high resolution regional model working together, but would take more work to get up and running with this.
First step would probably try WeatherBench, and just get it to output training examples
ECMWF has now started doing an idea similar to the one in #3
Blog post: https://www.ecmwf.int/en/about/media-centre/aifs-blog/2024/data-driven-regional-modelling
Detailed Description
https://anemoi-datasets.readthedocs.io/en/latest/using/combining.html
Context
Using a high-resolution subset within a global model is quite interesting to get the higher resolution required. Anemoi datasets works to do that as well, making the cutouts.
Possible Implementation
Import the package and use that? Copy over the cutout functionality? As otherwise, its a light wrapper around Zarr stores, which we already support.
The text was updated successfully, but these errors were encountered: