Distributed Computing for Large-Scale Climate Science and Analytics
It is a scalable system for interactive model evaluation and for the rapid development of climate metrics and analysis to address the pain points in the current model evaluation process.
"Interactive and Highly Scalable Climate Model Analytics" presentation by Chris Mattmann at NASA Earth Science Technology Forum 2015, Pasadena, CA.
Interview with Chris Mattmann, Chief Architect of Instruments and Science Data at NASA JPL at Spark Summit 2015
We introduce a 3-part course module on SciSpark, our AIST14 funded project for Highly Interactive and Scalable Climate model Metrics and Analytics. The three part course session introduces a 101, 201, and 301 class for learning how to use SciSpark for science.