The course will take place on September 15th 2019, right before the 2019 AMS Radar Conference. We will introduce the participants to community software packages designed for radar data processing, including (but not limited to) BALTRAD, Py-ART, and wradlib. Following a welcome, there will be an introduction to Open Science concepts and the Open Radar context.
The common ground for most of those tools is Python, so we'll feature a quick intro to the Python programming language, and endow participants with the basics of how to contribute to community software. For the course, we will provide a platform-independent virtual machine that contains all the required software, data, and course materials. We will also, for the first time, be experimenting with cloud based solutions like Binder and Pangeo.
- Crisologo, Irene (Northwestern University, USA)
- Collis, Scott (Argonne National Laboratory, USA)
- Jackson, Bobby (Argonne National Laboratory, USA)
- Michelson, Daniel B. (Environment and Climate Change, Canada)
- Soderholm, Joshua (Australian Bureau of Meteorology, Australia)
- Javornik, Brenda, (National Center for Atmospheric Research)
Participants need to bring their own 64-bit notebook (Linux, Windows, Mac). All you need to do is to install VirtualBox and import the Virtual Machine for the course. Please see here for general instructions, and here for an overview specific to this course.
- 10:00 - 10:15 Welcome and getting started
- 10:15 - 10:45 Community weather radar software and Open Science
- 10:45 - 11:00 Coffee break
- 11:00 - 11:30 Launching the virtual machine
- 11:30 - 12:00 A feel of scientific Python
- 12:00 - 12:30 Collaborative development: git live demo
- 12:30 - 13:30 Lunch break
- 13:30 - 14:30 Hands on BALTRAD
- 14:30 - 15:30 Hands on Py-ART
- 15:30 - 16:30 Hands on wradlib
- 16:30 - 17:00 The LROSE software ecosystem and wap up.