Galaxy Training/event

26-27 October, 2020

Contact

annefou@geo.uio.no

Course goals and format

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 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.

Workshop requirements

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.

Schedule

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

Who the course is for

This 2-day course is aimed at field ecologists, environmental scientists, climate modellers and biologists interested in improving climate models by better representing terrestrial ecosystems.

Instructors

Rosie Fisher
Anne Fouilloux
Hui Tang

Helpers

Elin Cecilie Ristorp Aas
Lasse Torben Keetz

Material

The training material is available on the Galaxy Training Network:

Location

The workshop will be held online, participant links will be sent to registered participants.

Price

Free of charge, supported and funded by the Galaxy Training Network, EOSC-Nordic and EOSC-Life.

Online Galaxy Training on Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

Learn how to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models