Andrea Donnellan
2018-01-10 02:15:17
Dear Colleagues,
We would like to draw your attention to a Special Session at the 2018 Annual Meeting of the Seismological Society of America, taking place 14–17 MAY 2018 in Miami, Florida.
Abstract Deadline is 24 January 2018.
Science Gateways and Computational Tools for Improving Earthquake Research
Science gateways allow research communities to access shared data, software, computing services, instruments, educational materials and other resources. Advances in earthquake science are becoming increasingly tied to the ability to fuse and model multiple data types, requiring advances in computational infrastructure. Earthquake scientists must rely on computational laboratories to integrate disparate data sets and perform simulation experiments, particularly because earthquake processes span multiple spatial and temporal scales, ranging from microscopic, millisecond source physics to long-term, global tectonic scales. This session focuses on advances in computational infrastructure and data synthesis for enhancing earthquake science, including software, supercomputing, simulation models, sensor technology, heterogeneous data sets, cloud computing, management of huge data volumes and development of community standards.
Session Conveners,
Andrea Donnellan, Jet Propulsion Laboratory, California Institute of Technology, <andrea.donnellan<at>jpl.nasa.gov<andrea.donnellan<at>jpl.nasa.gov>>
Lisa Grant Ludwig, University of California, Irvine, <lgrant<at>uci.edu<lgrant<at>uci.edu>>
We would like to draw your attention to a Special Session at the 2018 Annual Meeting of the Seismological Society of America, taking place 14–17 MAY 2018 in Miami, Florida.
Abstract Deadline is 24 January 2018.
Science Gateways and Computational Tools for Improving Earthquake Research
Science gateways allow research communities to access shared data, software, computing services, instruments, educational materials and other resources. Advances in earthquake science are becoming increasingly tied to the ability to fuse and model multiple data types, requiring advances in computational infrastructure. Earthquake scientists must rely on computational laboratories to integrate disparate data sets and perform simulation experiments, particularly because earthquake processes span multiple spatial and temporal scales, ranging from microscopic, millisecond source physics to long-term, global tectonic scales. This session focuses on advances in computational infrastructure and data synthesis for enhancing earthquake science, including software, supercomputing, simulation models, sensor technology, heterogeneous data sets, cloud computing, management of huge data volumes and development of community standards.
Session Conveners,
Andrea Donnellan, Jet Propulsion Laboratory, California Institute of Technology, <andrea.donnellan<at>jpl.nasa.gov<andrea.donnellan<at>jpl.nasa.gov>>
Lisa Grant Ludwig, University of California, Irvine, <lgrant<at>uci.edu<lgrant<at>uci.edu>>