eds-book-gallery / 93463cac-471a-469d-ad52-0514fd9b67f2

Detection and attribution of climate change using deep learning

Environmental Data Science Book

Deep learning and variational inversion to quantify and attribute climate change (CIRC23)

How to run

Running locally

You may also download the notebook from GitHub to run it locally:

1. Open your terminal

2. Check your conda install with conda --version. If you don't have conda, install it by following these instructions (see here)

3. Clone the repository

   git clone https://github.com/eds-book-gallery/93463cac-471a-469d-ad52-0514fd9b67f2.git

4. Move into the cloned repository

   cd 93463cac-471a-469d-ad52-0514fd9b67f2

5. Create and activate your environment from the .binder/environment.yml file

   conda env create -f .binder/environment.yml
   conda activate 93463cac-471a-469d-ad52-0514fd9b67f2

6. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

Credits

The How to run section was adapted from the Project Pythia Cookbook project.