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climate-emulator-tutorial

A tutorial for getting started with machine learning for climate modeling

https://github.com/blutjens/climate-emulator-tutorial

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

A tutorial for getting started with machine learning for climate modeling

Basic Info
  • Host: GitHub
  • Owner: blutjens
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 37.4 MB
Statistics
  • Stars: 13
  • Watchers: 3
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

climate-emulator-tutorial

A tutorial for getting started with machine learning for climate modeling. To read the tutorial go to:

climateemulatortutorial.ipynb

Installation

git clone git@github.com: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 runclimatepocket_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

  • Name: Björn Lütjens (he/him)
  • Login: blutjens
  • Kind: user
  • Company: MIT

Postdoctoral Associate in tackling climate change with AI @ MIT. Project overview at https://blutjens.github.io/

GitHub Events

Total
  • Watch event: 4
Last Year
  • Watch event: 4

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 73
  • Total Committers: 3
  • Avg Commits per committer: 24.333
  • Development Distribution Score (DDS): 0.055
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
ygaxolotl b****s@g****m 69
Mark Veillette M****3@g****m 3
Mark Veillette m****e@l****u 1
Committer Domains (Top 20 + Academic)
ll.mit.edu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • 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 requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
Pull Request Authors
  • blutjens (5)
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Dependencies

requirements.txt pypi
  • cartopy *
  • xarray *
setup.py pypi