Abstract: Interactive Scripting for Analysis and Visualization of Arbitrarily Large, Disparately Located Climate Data Ensembles Using a Progressive Runtime Server (2017 AGU Fall Meeting)

Interactive Scripting for Analysis and Visualization of Arbitrarily Large, Disparately Located Climate Data Ensembles Using a Progressive Runtime Server

Brian Summa¹, Cameron Christensen², Giorgio Scorzelli², Jiwoo Lee^3,4, Aniketh Venkat², Peer-Timo Bremer⁴ and Prof. Valerio Pascucci⁵, (1)Tulane University of Louisiana, New Orleans, United States, (2)University of Utah, Scientific Computing and Imaging, Salt Lake City, UT, United States, (3)Lawrence Livermore National Laboratory, Livermore, United States, (4)Lawrence Livermore National Laboratory, Livermore, CA, United States, (5)University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, United States

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