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Low cloud tracking tobathon #486
base: Tobathon2025
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## Tobathon2025 #486 +/- ##
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Coverage 60.75% 60.75%
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Files 23 23
Lines 3544 3544
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Hits 2153 2153
Misses 1391 1391
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Linting results by Pylint:Your code has been rated at 8.24/10 (previous run: 8.24/10, +0.00) |
@w-k-jones I have cleaned up the notebook and added some text. Please have a look and modify further if you want to change anything before we merge this. And do you know Milind's github username? |
Great, thanks, I really like the visualisations you've added! I'll have a look through any final changes on Monday And Milind's github is @gewitterblitz |
@JuliaKukulies I agree, the cleaned-up notebook looks ready to be added as an example for tracking shallow clouds. Thank you so much to you and @w-k-jones for leading this effort! |
Great, thanks for your feedback @gewitterblitz ! |
Sounds good @w-k-jones and thanks for your feedback! I will also need to check why the notebook checks fail here before we merge this |
@w-k-jones do you have any more changes that you wanted to add to this notebook? Also, the checks fail because of the missing library |
Yep, I think both |
Our work from Tobathon2025, solves issue #483
This PR adds a new example jupyter notebook that demonstrate how tobac can be used to track shallow cumulus clouds using LES data from the Cloud Botany project.
This notebook follows the typical tracking steps feature detection, tracking and segmentation and includes an exmaple for a simple lifecycle analysis with the output data.
Thanks to Will Jones (@w-k-jones) and Milind Sharma