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Oceans
Environmental Data Science Book

Learning the underlying physics of a simulation model of the ocean’s temperature (CIRC23)

Authors
Affiliations
University of Colorado Boulder
University of California, Berkeley
Claremont McKenna College
https://doi.org/10.5281/zenodo.8296922

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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/3286b92f-4fae-4cc6-a29e-e408bc844542.git

  4. Move into the cloned repository

    cd 3286b92f-4fae-4cc6-a29e-e408bc844542

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

    conda env create -f .binder/environment.yml
conda activate 3286b92f-4fae-4cc6-a29e-e408bc844542

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

References
  1. Malhotra, G., Pinto Veizaga, D., Peña Velasco, J. E., & This EDS book notebook contributors. (2024). Learning the Underlying Physics of a Simulation Model of the Ocean’s Temperature (Jupyter Notebook) published in the Environmental Data Science book. Zenodo. 10.5281/ZENODO.8296922
Underlying physics of the ocean's temperature (CIRC23)
Learning the underlying physics of a simulation model of the ocean’s temperature (CIRC23)