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Week 1 overview

Learning Objectives:

  1. Course overview
  2. Reproducible science as a goal

Learning and Participation Activities with Due Dates (Tuesday, Sep. 2, end of day Eastern time):

  1. (if necessary) Register for a free GitHub account

  2. (if necessary) Register for a free ORCID

  3. Respond to the ATM 433/533 Week 1 Class Survey

  4. Accept the invitation to join the ATM433/533 GitHub organization

  5. Explore an interactive, reproducible class project

  6. Reading material: Irving, 2016

  7. Clone the week1 directory in /spare11/atm533/ktyle:

    a. Access the class Jupyterhub server on Turing

    b. In the Launcher, open up a Terminal session

    c. Change into your atm533 folder: type cd atm533

    d. Type git config --global --add safe.directory /spare11/atm533/ktyle/week1/.git

    e. Type git clone /spare11/atm533/ktyle/week1

    f. You should then have a week1 folder visible in your atm533 directory, which contains one Jupyter notebook

  8. Run the example Jupyter notebook within the week1 folder

    a. In the Jupyterlab directory browser, navigate to your atm533/week1 folder

    b. In that directory, run the NYSM_Hourly_Map.ipynb notebook to completion

  9. Take a look at Pythia Foundations and Pythia Cookbooks

  10. Post any questions or comments in the Brightspace Week 1 Discussion Forum

References
  1. Irving, D. (2016). A Minimum Standard for Publishing Computational Results in the Weather and Climate Sciences. Bulletin of the American Meteorological Society, 97(7), 1149–1158. 10.1175/bams-d-15-00010.1