LEAP offers a few bootcamps on Climate Data Science each year using LEAP Pangeo Jupyter Hub. Please refer to the LEAP-Pangeo Technical Documentation for more information on LEAP-Pangeo
Please, use this link to join our Slack group, allowing you to be able to communicate during and after bootcamp. BootcampSlack
Check out the LEAP-Pangeo FAQs if you run into problems
Instructor: Qingyuan Yang, Ph.D., Department of Earth and Environment Engineering Columbia University
Learning Goals:
- Learn to process, analyze and visualize climate data in the cloud with scientific Python using the LEAP-Pangeo Jupyter Hub;
- Gain a understanding of fundamental climate concepts, alongside common diagnostic statistics and techniques.
The workplan for Day-1 is on the following page. We mainly follow the workshop 2023 Train- the-Trainer Bootcamp Day 1: Climate and Geospatial Data Analysis by Prof. Ryan Abernathey. The day is divided into lecture sessions and interactive studios, offering participants the chance to solidify their learning through hands-on practice. Students are asked to mirror the instructor’s each step during lecture sessions using LEAP-Pangeo Hub and are encouraged to work in groups.
🪄 Click on the links here to open the materials up directly in the LEAP-Pangeo Hub
The lectures are based on the book An Introduction to Earth and Environmental Data Science. Book github repo You can find the lecture notebooks here
(navigate to `src/lectures' to find the notebooks).
8:30 a.m.: Check-in / Breakfast
9:00 a.m.: Introduction to Bootcamp + Team
9:05 a.m.: LEAP-Pangeo Login and Pre-Lecture Preparation
9:15 a.m.: Introduction of Climate Data & LEAP-Pangeo (Record)
9:25 a.m.: Session 1: Basic Xarray (Record)
10:55 a.m.: Studio 1: Analyzing Atmospheric Radiation Data
11:45 a.m.: Lunch + Break
12:45 p.m.: Session 2: Advanced Xarray (Record)
2:15 p.m.: Studio 2: Analyzing El Niño Variability in SST Data
3:05 p.m.: Break
3:15 p.m.: Session 3: Climate Data in the Cloud (Record)
4:05 p.m.: Studio 3: Multi-Model Analysis and Comparison
4:45 p.m.: Day 1 Concludes
8:30 a.m.: Check-in / Breakfast
9:00 a.m.: Session 1: Introduction to Neural Networks (Record)
10:00 a.m.: Break
10:15 a.m.: Neural Networks cont’d. (Record)
10:30 a.m.: Lab: Using Neural Networks with Climate Data in the Cloud
11:30 a.m.: Lunch + Break
12:30 p.m.: Session 2: Convolutional Neural Networks (Record)
1:15 p.m.: Break
1:30 p.m.: Lab: Using CNN to forecast global temperature
2:15 p.m.: Discussion to Recurrent Neural Networks (Record)
2:45 p.m.: Break
3:00 p.m.: Lab: LSTM Model
4:15 p.m.: Final Thoughts: Graph Neural Networks (Record)
4:30 p.m.: Bootcamp concludes
Past Events
| Time | Topic |
|---|---|
| Day 1 | Project Review, Getting Started (Python, Scientific Computing & Visualization) |
| Day 2 | Data Exploration and Analysis with Xarray, Dask |
| Day 3 | Advanced Xarray |
| Day 4 | Fundamental of Climate Science |
Instructor: Yu Huang, Ph.D. candidate, Department of Earth and Environment Engineering Columbia University
Learning Goals:
- Learn to process, analyze and visualize climate data in the cloud with scientific Python using the LEAP-Pangeo Jupyter Hub;
- Gain a understanding of fundamental climate concepts, alongside common diagnostic statistics and techniques.
The workplan for Day-1 is on the following page. We mainly follow the workshop 2023 Train- the-Trainer Bootcamp Day 1: Climate and Geospatial Data Analysis by Prof. Ryan Abernathey. The day is divided into lecture sessions and interactive studios, offering participants the chance to solidify their learning through hands-on practice. Students are asked to mirror the instructor’s each step during lecture sessions using LEAP-Pangeo Hub and are encouraged to work in groups.
🪄 Click on the links here to open the materials up directly in the LEAP-Pangeo Hub
The lectures are based on the book An Introduction to Earth and Environmental Data Science. Book github repo You can find the lecture notebooks here
(navigate to `src/lectures' to find the notebooks).
| Time | Topic |
|---|---|
| 8:30 – 9:15 | Check in / Breakfast |
| 9:15 – 9:20 | Greeting from Prof. Pierre Gentine, LEAP center director |
| 9:20 – 9:30 | LEAP-Pangeo Login and Pre-lecture Preparation |
| 9:30 – 9:40 | Introduction of Climate Data & LEAP-Pangeo |
| 9:40 – 11:10 | Session 1: Basic Xarray (Argo) |
| 11:10 – 12:00 | Studio 1: Analyzing Atmospheric Radiation (CERES) |
| 12:00 – 13:00 | Lunch + Break |
| 13:00 – 14:30 | Session 2: Advanced Xarray |
| 14:30 – 15:20 | Studio 2: Analyzing El Niño Variability (ERSST) |
| 15:20 – 15:30 | Break |
| 15:30 – 16:20 | Session 3: Climate Modeling and Simulations in the Cloud (CMIP6) |
| 16:20 – 17:00 | Studio 3: Multi-Model Analysis and Comparison |
Syllabi and links: Week 1 Schedule
Week 2 Additional Materials, Lectures, Codes
Preprocessing, visualization and climate analysis of REU dataset
Machine learning example using toy REU dataset
Bootcamp Recordings on YouTube
We will cover the Xarray Lectures from Ryan's class. Use this link to open the assignments for the studios.
Use this link to launch the material for Day 2.
Please refer to our guide on how to prepare and run a LEAP bootcamp.