AMS Short Course on Open Source Radar Software

AMS

An AMS Short Course on Open Source Radar Software will be held on the 13th of September 2015 in Norman, Oklahoma preceding the 37th Conference on Radar Meteorology. Preliminary programs, registration, hotel, and general information on the conference are available on the AMS conference web site.

From the short course announcement:

As radar technology has advanced, a whole ecosystem of software has flourished in order to cope with the volume of new data. Often scientists will work on their own code bases built on top of processing software that has enjoyed long-term support. Recently, new community-based interactive architectures have emerged, which allow users to contribute code back and grow software organically. Examples of these are the Python-ARM Radar Toolkit (Py-ART), wradlib and BALTRAD.

This course will introduce participants to open source tools for working with weather radar data that use the Python programming language. The primary tool taught will be Py-ART, as well as some higher level applications which have been built using Py-ART. The objective of the course is to equip attendees with the tools needed to read, plot, correct, grid and analyze data from a variety of radar types.

The course will be split into three parts: 1. The Python language and a quick introduction to interacting with data using the IPython notebook; 2. An introduction to Py-ART including reading, plotting, basic manipulation and saving radar data; 3. Intermediate usage including retrievals and tools built on top of Py-ART and other Python radar applications.

The instructor for the course is Dr. Scott Collis of Argonne National Laboratory. He will be joined by Drs. Jonathan Helmus, Nick Guy, Timothy Lang, Joseph Hardin and Marcus van Lier-Walqui.

A luncheon will be provided during the short course. Access to your own laptop with at least 2 GB of memory and 1 GB of free space will be essential for the course. Attendees will receive a thumb drive with all materials, software and data.

For more information please contact Scott Collis at
Argonne National Laboratory
Building 240
9200 S Cass Ave.
Argonne, IL, 60439
Tel: 630-252-0550
Email: scollis@anl.gov

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