Week 1 overview
Learning Objectives:¶
- Course overview
- Reproducible science as a goal
Learning and Participation Activities with Due Dates (Tuesday, Sep. 2, end of day Eastern time):¶
(if necessary) Register for a free GitHub account
(if necessary) Register for a free ORCID
Respond to the ATM 433/533 Week 1 Class Survey
Accept the invitation to join the ATM433/533 GitHub organization
Explore an interactive, reproducible class project
Reading material: Irving, 2016
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: typecd 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 youratm533
directory, which contains one Jupyter notebookRun the example Jupyter notebook within the
week1
foldera. In the Jupyterlab directory browser, navigate to your
atm533/week1
folderb. In that directory, run the NYSM_Hourly_Map.ipynb notebook to completion
Take a look at Pythia Foundations and Pythia Cookbooks
Post any questions or comments in the Brightspace Week 1 Discussion Forum
- 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