Inverse problems in meteorology and seismology
Aim茅 Fournier
Mesoscale & Microscale Meteorology Laboratory聽(MMM),聽National Center for Atmospheric Research聽(NCAR)
Date and time:聽
Friday, April 10, 2015 - 3:00pm
尝辞肠补迟颈辞苍:听
ECCR 265
础产蝉迟谤补肠迟:听
In this talk I will review recent work on gigabyte-scale inverse problems, namely: data assimilation for regional meteorology; and anisotropic exploration seismology. The solution to these and other problems partly unifies the approaches of regularization, Bayesian inference, linear-model preconditioning and truncated SVD. Selected results and delivered products include: compressed representation of meteorological measurement influence; uncertainty quantification for faults, traps and wells in oil & gas exploration; and formal decision analysis and value of information. I will conclude by discussing potential new research directions: compression of聽data聽assimilation聽for high-order non-uniform grids e.g., spectral elements; and聽value聽of聽information聽for聽wind-turbine farm simulation and management.