Data Assimilation toward Big Data and Post-Peta-scale Supercomputing: A Personal Perspective
Takemasa Miyoshi
RIKEN, Japan Noon August 24 in Room 2155
Abstract: I will present my personal perspective on the
next 10-20 years of data assimilation with the future-generation
sensors and post-peta-scale supercomputers, based on our own experience
with the 10-petaflops “K computer”. New sensors produce orders of
magnitude more data than the current sensors, and faster computers
enable orders of magnitude more precise simulations, or “Big
Simulations”. Data assimilation deals with the “Big Data” from both new
sensors and Big Simulations. We started a “Big Data Assimilation”
project, aiming to develop a revolutionary weather forecasting system
to refresh 30-minute forecasts at a 100-m resolution every 30 seconds,
120 times more rapid than the typical hourly-updated systems. We also
investigated ensemble data assimilation using 10240 ensemble members,
largest ever for the global atmosphere. Based on the experience using
the K computer, we will discuss the future of data assimilation in the
forthcoming Big Data and Big Simulation era.