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@mchantry mchantry commented Nov 19, 2025

Planned medium-term feature branch to enable the development of observation dataset training.

Key components:

  • Call structure/inference.
  • First sources.
  • Dataset creation from sources.
  • Dataset loading.
Screenshot 2025-11-19 at 13 23 56 Screenshot 2025-11-19 at 13 34 46

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@github-project-automation github-project-automation bot moved this to To be triaged in Anemoi-dev Nov 19, 2025
@github-actions github-actions bot added the tests label Nov 19, 2025
@mchantry mchantry changed the title Feat/observations main Observations feature branch Nov 19, 2025
@HCookie HCookie moved this from To be triaged to Now In Progress in Anemoi-dev Nov 20, 2025
@radiradev
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Hi @b8raoult, as I mentioned during the MLPP meeting I was wondering if tensordict would be a good alternative to dicts of torch.Tensor. afaik tensordict is a dict of tensors but with support for tensor operations, so it might make downstream applications easier to implement.

@mchantry mchantry mentioned this pull request Jan 12, 2026
"grid_definition": {
"icon": {
"path": gridfile,
"refinement_level_c": input_refinement_level_c,
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Suggested change
"refinement_level_c": input_refinement_level_c,
"refinement_level_c": None,

From @MeraX


Thanks for fixing this inconsistency. I think in general there is no need to set refinement_level_c for the icon grid_definition as the grid must always correspond to the grib data. Thus I would make the following suggestion:

If I understood the earthkit team correctly, they are working on supporting ICON grids. I.e. it will be possible to ask EKD for the grid definition, making the icon grid_definition in anemoi-datatests unnecessary.

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10 participants