This tutorial covers how to get started with the Open Radar Science stack!
The course will take place on 28 August 2022, the day before 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, LROSE, Py-ART, and wradlib. Following a welcome, there will be an introduction to Open Science concepts with 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.
Scott Collis (Argonne National Laboratory, USA)
Bobby Jackson (Argonne National Laboratory, USA)
Maxwell Grover (Argonne National Laboratory, USA)
Daniel Michelson (Environment and Climate Change Canada)
Jordi Figueras i Ventura (Météo-France, France)
Daniel Wolfensberger (MeteoSwiss, Switzerland)
Mike Dixon (National Center for Atmospheric Research, USA)
Kai Mühlbauer (University of Bonn, Germany)
Velibor Pejčić (University of Bonn, Germany)
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 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 an open source project, best practices
16:30 - 17:00 Open slot, discussion, evaluation
Content relevant to each of the Open Radar packages (ex. Py-ART, wradlib, LROSE, BALTRAD).
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.