Programming in Meteorology

This webpage is designed to serve the students enrolled for ATM4110, Programming in Meteorology.

This course will provide the programming foundation to perform the analysis and diagnostics of the big dataset in the atmospheric sciences. Upon the completion of this course, the students will be capable of analyzing the atmospheric data and extracting meaningful information from it.

This webpage is not in the final version but keeps evolving. I encourage students to visit this page frequently and be up to date.

Objective of this course

Introduce the programming environment for meteorology
Handle the atmospheric data using programming language such as python
Learn temporal/spatial/spectral analysis skills
Solve problems using acquired skills in programming and produce meaningful results

A few examples that you can do after this course

Draw figures using atmospheric data on the map (source):
Post-process the data and plot the results (source):
Deal with global data for the climate-related research (Figure from the 5th IPCC report)

Instructor

Hajoon Song
Office : Science Hall 544
Email : hajsong@yonsei.ac.kr
Telephone : 02-2123-2579

Class

Tuesday 12-2 in Science Hall 523
Thursday 12-2 in Science Hall 603

Office hour

Tuesday 2-3 in Science Hall 544

Grading

Homework : 30%
Midterm : 20%
Final project : 40%
Attendance and participation : 10%

Textbook

When we go through python, I will follow the book, A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences (online version)

If you have an issue with Python, you may find this online material be helpful.

The repository for the Jupyter Notebook files.

I will upload the Jupyter Notebook files at Azure Notebooks