climate-emulator-tutorial
A tutorial for getting started with machine learning for climate modeling.
https://github.com/blutjens/climate-emulator-tutorial
Category: Sustainable Development
Sub Category: Education
Last synced: about 23 hours ago
JSON representation
Repository metadata
A tutorial for getting started with machine learning for climate modeling
- Host: GitHub
- URL: https://github.com/blutjens/climate-emulator-tutorial
- Owner: blutjens
- License: mit
- Created: 2022-09-30T19:18:09.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-06T18:50:24.000Z (about 1 year ago)
- Last Synced: 2025-04-17T20:38:09.104Z (10 days ago)
- Language: Jupyter Notebook
- Size: 37.4 MB
- Stars: 12
- Watchers: 3
- Forks: 3
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
climate-emulator-tutorial
A tutorial for getting started with machine learning for climate modeling. To read the tutorial go to:
climate_emulator_tutorial.ipynb
Installation
git clone [email protected]:blutjens/climate-emulator-tutorial.git
cd climate-emulator-tutorial
conda create --name emcli
conda activate emcli
conda install pip
pip install -r requirements.txt
pip install -e .
ipython kernel install --user --name=emcli # Link conda environment to jupyter notebook
Start the notebook
jupyter notebook climate_emulator_tutorial.ipynb
Explore the demo
# Explore demo online at
https://climate-emulator-tutorial.streamlit.app/
# Develop demo locally with
conda activate emcli
streamlit run run_climate_pocket_webapp.py
Reference
You can read the abstract as pdf here.
@misc{lutjens23climatetutorial,
author = {Lütjens, Björn and Hadzic, Lea M. and Newman, Dava and Veillette, Mark},
publisher = {AGU23 Fall Meeting},
title={The Climate Pocket: Tutorial on Building Fast Emulators in Climate Modeling},
year={2023},
url={https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1304372}
}
Owner metadata
- Name: Björn Lütjens (he/him)
- Login: blutjens
- Email:
- Kind: user
- Description: Postdoctoral Associate in tackling climate change with AI @ MIT. Project overview at https://blutjens.github.io/
- Website: https://blutjens.github.io/
- Location:
- Twitter: bjornlutjens
- Company: MIT
- Icon url: https://avatars.githubusercontent.com/u/29470205?u=833fd5c99dba0ae08ddd8184bafbcd7a3359af64&v=4
- Repositories: 31
- Last ynced at: 2024-06-11T15:40:49.715Z
- Profile URL: https://github.com/blutjens
GitHub Events
Total
- Watch event: 3
Last Year
- Watch event: 3
Committers metadata
Last synced: 6 days ago
Total Commits: 73
Total Committers: 3
Avg Commits per committer: 24.333
Development Distribution Score (DDS): 0.055
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
ygaxolotl | b****s@g****m | 69 |
Mark Veillette | M****3@g****m | 3 |
Mark Veillette | m****e@l****u | 1 |
Committer domains:
- ll.mit.edu: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 0
Total pull requests: 4
Average time to close issues: N/A
Average time to close pull requests: less than a minute
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull request: 4
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
- blutjens (4)
Top Issue Labels
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Dependencies
- cartopy *
- xarray *
Score: 3.58351893845611