Learn about Galaxy and how to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models.
FATES is a numerical terrestrial ecosystem model for use in Earth System Models (ESM) that simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions. Participants will learn about climate modelling as well as how to use the Galaxy Climate JupyterLab{:target="_blank"} for running FATES experiments and compare those with observational data.
This is an informal and interactive event with type-along type of presentations, live coding, and demos. Short tutorials alternate with practical exercises.
- You need to register to Galaxy before Galaxy CLM-FATES workshop.
- Watch or read the command line crash course, if you aren’t familiar.
- Knowing basic Python syntax can be useful but is not a mandatory requirement. We will not be teaching Python programming but will provide you with examples for plotting and analyzing FATES results.
Please do this - and check it - in advance, otherwise you'll start off behind.
Day 1
- 9:00 - 9:30 Welcome and Logistics
- 9:30 - 10:15 Introduction to Ecosystem Demography & FATES in ESMs
- 10:15 - 10:30 Break
- 10:30 - 11:15 Introduction to Galaxy
- 11:15 - 12:00 Presentation of the CLM-FATES hands-on
- 12:00 - 14:00 Lunch Break
- 14:00 - 15:00 Hands-on at your own pace
- 15:00 - 15:15 Break
- 15:15 - 16:00 Meet-up Q&A
Day 2
- 9:00 - 9:15 Welcome back
- 9:15 - 10:15 Hands-on: Running FATES-CLM in Galaxy (continue at your own pace)
- 10:15 - 10:30 Break
- 10:30 - 11:15 Workflows, Sharing and publishing Galaxy workflow
- 11:15 - 12:00 Meet-up Q&A
- 12:00 - 14:00 Lunch Break
- 14:00 - 14:30 Presentation of Galaxy Climate JupyterLab
- 14:30 - 15:00 Hands-on at your own pace: FATES-CLM in Galaxy Climate JupyterLab
- 15:00 - 15:15 Break
- 15:15 - 16:00 Meet-up Q&A and post-workshop survey