Date: 27 August 2017
Location: Swissôtel, 323 E Upper Wacker Dr, Chicago, IL 60601, USA
Thank you to our Sponsor:
Description: Open Source Software (OSS) is a fundamental building block contributing to the process of Open Science. Recently, radar OSS packages have emerged that facilitate research and development, drive operational national and regional infrastructure, build community, and accelerate pushing the overall state of the art forward. Examples of such packages are the Py-ART (Python ARM Radar Toolkit), ARTView, BALTRAD, wradlib, and LROSE.
This course will introduce participants to OSS tools for working with weather radar data that use the Python programming language. The Objective of this course is to present the amazing results that can be archived with Open Source Community Development Process, in which different individuals and organizations contribute together to a project and provide the results to the community.
These tools are collected and made available in the form of a turn-key Open Radar Virtual Machine.
The course will consist of the following parts:
A luncheon will be provided during the short course.
Basic knowledge of radar and scientific programming are required. Knowledge of Python is beneficial but not necessary. Using your own laptop with at least 2 GB of memory and 1 GB of free space will be essential for the course. Software and Jupyter notebooks need to be preinstalled by participants prior to the course; instructions for preparation will be emailed in advance.
Anderson Luis Gama, University of Stuttgart
Nick Guy, The Climate Corporation
Daniel Michelson, Environment and Climate Change Canada
Scott M Collis, Argonne National Laboratory
Michael Bell, Colorado State University
Robert Jackson, Argonne National Laboratory
Sever, Gökhan, Argonne National Laboratory
Information: Please contact Gamma Anderson, University of Stuttgart, tel +49 176 2686 9109. Email: firstname.lastname@example.org