Python Disdrometer Processing: From Prototyping to Library Development Using Open Source Tooling

Date and Time: 
2014 April 7th @ 4:15pm
CG1 Auditorium
Joseph Hardin

A common instrument utilized in the atmospheric sciences is the disdrometer. This instrument gives a count of the numbers of different size drops that pass through it's sensor area. This talk will cover the development of a Python disdrometer and rain gauge library using open source tools focusing on the tooling, with the actual library as a motivating need.

Several important workflow tools will be addressed in this talk. We will start by showing how the algorithms were prototyped using the Ipython Notebook, a browser based system that empowers reproducible research methodologies and collaboration in Python. We utilize several different open source Python packages to enable electromagnetic scattering simulation, statistical inference, and visualization. The code is then transitioned into a library meant to be used by engineers and scientists to assist in their research. The goal is to demonstrate an efficient workflow for rapid prototyping of Python algorithms with real atmospheric science data using fully open source tools.

Speaker Description: 

Joseph Hardin is an electrical engineering Ph.D. student at Colorado State University studying radar engineering. His current research area is radar network microphysical retrievals. He is also currently the maintainer of the VCHILL radar data visualization program. Before CSU he received his M.S. in electrical engineering from New Mexico State University for work on audio compression quality metrics and computational neuroscience.

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