A collection of interactive lecture notes and assignments for a graduate-level climate modeling course. ATM 623 Climate Modeling is an advanced graduate course on climate dynamics and climate modeling. The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations and figures. This repository contains a collection of linked Jupyter notebooks with lecture notes, examples and assignments. All notebooks are self-describing.

Features

  • The notes and code are freely available under the MIT license
  • Documentation available
  • Interactive lecture notes and assignments for a graduate level climate modeling course
  • Just click on the Binder badge above to run these notebooks interactively in the cloud
  • Examples available

Project Samples

Climate Modeling Courseware Screenshot 1

Project Activity

See All Activity >

Categories

Libraries

License

MIT License

Follow Climate Modeling Courseware

Climate Modeling Courseware Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Climate Modeling Courseware!

Additional Project Details

Registered

2023-12-22
Report inappropriate content