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Tuesday, May 10 • 2:00pm - 2:50pm
Using Apache Big Data Stack to Analyse Storm-Scale Numerical Weather Prediction Data - Suresh Marru, Indiana University

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This talk will discuss adaptation of Apache Big Data Technologies to analyze large, self-described, structured scientific data sets. We will present initial results for the problem of analyzing petabytes of weather forecasting simulation data produced as part of National Oceanic and Atmospheric Administration’s annual Hazardous Weather Testbed. The challenge is to enable weather researchers to perform investigative queries over the full forecast simulation outputs to find the signatures for severe weather phenomena like tornadogenesis. Given the size of the data and the complexity of weather phenomena, these data sets are candidates for exploration by machine learning techniques that can identify heretofore unknown relationships in the dozens of weather parameters generated by the simulations, guiding researchers into developing new scientific models.

Speakers
avatar for Suresh Marru

Suresh Marru

Member, Apache Software Foundation
Suresh Marru is a Member of the Apache Software Foundation and is the current PMC chair of the Apache Airavata project. He is a principal research systems architect at Indiana University. Suresh focuses on research topics at the intersection of distributed systems, application domain science; computational systems and has authored or co-authored over 75 peer-reviewed conference papers and journal articles in these areas. He gets his hands on... Read More →


Tuesday May 10, 2016 2:00pm - 2:50pm
Georgia B

Attendees (11)