Let's use https://github.com/openradar/erad2022 instead of this one. Thank you!
The course will take place on August 28th 2012, right before the 2022 ERAD 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.
- Collis, Scott (Argonne National Laboratory, USA)
- Jackson, Bobby (Argonne National Laboratory, USA)
- Grover, Maxwell (Argonne National Laboratory, USA)
- Michelson, Daniel B. (Environment and Climate Change, Canada)
- Figueras i Ventura, Jordi (MeteoFrance, France)
- Wolfensberger, Daniel (MeteoSwiss, Switzerland)
- Dixon, Mike (National center for Atmospheric Research, USA)
- Mühlbauer Kai (University of Bonn, Germany)
- Pejčić, Velibor (University of Bonn, Germany)
Participants need to bring their own 64-bit notebook (Linux, Windows, Mac). The exercices will take place on a cloud server. On Windows, the use of a ssh-client such as Putty or MobaXterm will be necessary.
- 09:00 - 09:15 Welcome and getting started
- 09:15 - 09:45 Community weather radar software and Open Science
- 09:45 - 10:30 Overview of the open source radar processing packages
- 10:30 - 11:00 Coffee break
- 11:00 - 11:45 Hands on Py-ART
- 11:45 - 12:30 Hands on wradlib
- 12:30 - 13:30 Lunch break
- 13:30 - 14:15 Hands on BALTRAD
- 14:15 - 15:00 Hands on LROSE
- 15:00 - 15:30 Coffee break
- 15:30 - 16:00 Combining multiple packages
- 16:00 - 16:30 Becoming a developer in a open project, best practices
- 16:30 - 17:00 Open slot, discussion, evaluation