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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

Category: Sustainable Development
Sub Category: Education

Last synced: about 23 hours ago
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A tutorial for getting started with machine learning for climate modeling

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}
}

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Dependencies

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

Score: 3.58351893845611