PRESENTATION OF THE COURSE

9:00 AM

A very Brief History

The first workshop of this type took place at ERAD 2014
Open Radar Shortcoure at 37th AMS Radar
AMS Annual Radar Data in the Cloud
Open Radar Shortcourse v2.0 at 38th AMS Radar

Py-ART Course Objectives

To give a familiarity with Python and the Scientific Python ecosystem and IPython and project Jupyter
To introduce the Python ARM Radar Toolkit and reveal the data model used
To show how to plot a variety of different radar data with Py-ART
Demonstrate how to add a field so you can do processing on your own data
Introduce you to several tools in Py-ART including texture retrieval, dealiasing and gridding

Time estimates are roughly adhered
The design is purposefully dynamic. It can and will grow, expand, have error corrections, etc.

9:15 A.M. PRESENTATION OF THE SOFTWARE. Nick Guy, The Climate Corporation, Seattle, WA

9:45 A.M. AN INTRODUCTION TO PYTHON. Robert Jackson, ANL, Argonne, IL

10:00 A.M. COFFEE BREAK

10:15 A.M. COMMUNITY SOFTWARE DEVELOPMENTS. Daniel Michelson, Environment and Climate Change Canada, Toronto, Canada

10:45 A.M. RADAR PROCESSING AND VISUALIZATION USING PY-ART. Robert Jackson, ANL, Argonne, IL and Nick Guy, The Climate Corporation, Seattle, WA

12:00 P.M. SHORT COURSE LUNCHEON (included).

1:30 P.M. DEVELOPMENT OF ARTVIEW, A MODULAR GRAPHICAL USER INTERFACE FOR RADAR DATA. Anderson L. Gama, Stuttgart University, Stuttgart, Germany

2:30 P.M. BALTRAD, DATA PROCESSING FUNDAMENTALS. Daniel Michelson, Environment and Climate Change Canada, Toronto, Canada

3:00 P.M. COFFEE BREAK

3:15 P.M. BALTRAD, INTEROPERABILITY PROOF-OF-CONCEPTS: BALTRAD TO Py-ART AND BALTRAD TO wradlib. Daniel Michelson, Environment and Climate Change Canada, Toronto, Canada

4:00 P.M. LROSE OVERVIEW. Michael Bell, Colorado State University, Fort Collins CO

4:15 P.M. WRAP UP AND FURTHER DISCUSSION.

5:00 P.M Adjourn

Resources

Data is at: This figshare repository

DO WE HAVE DATA STORED ANYWHERE??

Materials live in This GitHub Repository

There are a couple of main points of access to the Open Source Radar Community (though there very probably more)
- A Community Wiki with links to projects
- A Repository of code and course material



In [ ]: