feat: masking-filter based on other fields in the dataset#280
Closed
mpvginde wants to merge 5 commits into
Closed
Conversation
for more information, see https://pre-commit.ci
Contributor
Author
|
This functionality is already covered in #277 |
Contributor
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Adds
apply_mask_from_field, a companion to the existingapply_mask_fieldsfilter.Where
apply_mask_fieldsloads a mask from an external file,apply_mask_from_fieldderives the mask from another field already present in the data pipeline (e.g. a land-sea mask sourced alongside the other variables).Usage:
Masked points are set to NaN. An optional rename suffix can be appended to the output param name.
The filter passes mask_param and any other non-targeted fields through unchanged.
As a contributor to the Anemoi framework, please ensure that your changes include unit tests, updates to any affected dependencies and documentation, and have been tested in a parallel setting (i.e., with multiple GPUs). As a reviewer, you are also responsible for verifying these aspects and requesting changes if they are not adequately addressed. For guidelines about those please refer to https://anemoi.readthedocs.io/en/latest/
By opening this pull request, I affirm that all authors agree to the Contributor License Agreement.