Wednesday, April 13, 2011 - 2:00pm - 3:00pm
Peter Kitanidis (Stanford University)
The subsurface is where most of the available freshwater is stored; in the United States, groundwater is the primary source of water for over 50 percent of Americans, and roughly 95 percent for those in rural areas. Cleaning up the surface from industrial and nuclear wastes is quite challenging. A major impediment in studying processes in the subsurface and in managing resources is that it is difficult to achieve accurate and reliable imaging, i.e., identification of properties, of geologic formations.
Monday, March 11, 2013 - 10:00am - 11:00am
Jeffrey Anderson (National Center for Atmospheric Research)
Data assimilation for a climate system model is the process of combining model forecasts with observations to produce improved estimates of the model state. Ensemble filter data assimilation algorithms attempt to provide a discrete sample of model state estimates that are consistent with observations and model constraints. A practical introduction to ensemble filters is presented emphasizing empirically motivated aspects of the algorithms that are in need of theoretical understanding from the mathematical community.
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