One of the current interests of both government and private industry is the expanding volume of “Big Data” – large and diverse data sets that offer the potential of advanced insight into world trends and changes, but which also present increasing analytical and data management challenges. The Goddard Earth Sciences Data and Information Services Center (GES DISC), because of its heritage of handling large remote-sensing data sets from NASA Earth observation satellites, and providing tools for the research use of these data, was invited to give a presentation at the Chapman University Symposium on Big Data and Analytics: The 44th Symposium on the Interface of Computing Science and Statistics. (Chapman University is located in Orange County, California.) This symposium addresses different means of handling Big Data to advance analyzing, visualizing, and extracting useful information from large and diverse data sets, and the potential enabling of new scientific discoveries.
Christopher Lynnes of the GES DISC will give the presentation Giovanni-4: the next generation of an online tool for satellite data visualization, exploration and intercomparison on the second day of the conference, which takes place April 4-6. His presentation is part of the Analysis of Big Data for Atmospheric Aerosol Research technical session, co-chaired by Olga Kalashnikova and Michael Garay of the NASA Jet Propulsion Laboratory. Lynnes will highlight the re-architecture process which will make Giovanni-4 a more interactive user environment for data exploration.
The symposium includes several technical sessions addressing earth science and climate data, with many presentations given by scientists from NASA Goddard Space Flight Center. Also, Jack Kaye, the Associate Director for Research of the Earth Science Division in NASA’s Science Mission Directorate (SMD), will give a keynote address on the first day of the symposium entitled Earth System Science: Data Challenges Created by Observations and Models, and their use for Science and Applications.