WUR-AI / WUR-AI/diffWOFOST

[Backlog item]: Create a notebook showing variational DA using wofost_72_WLP_CWB

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Backlog item Epic 2
Dominant language
Python
Stars
25
Forks
6
Avg merge
2d 23h
Merged PRs (30d)
1

Description

First the model should be fully differentiable, then variational DA should be implemented.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by determining what is required to make the wofost_72_WLP_CWB model fully differentiable, then identify the project entry points needed for variational data assimilation. The notebook should demonstrate variational DA with that model, but the issue names no files, tests, or validation criteria.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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