BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Colloquium/Seminar
DESCRIPTION:Ian Grooms\, Department of Applied Mathematics\, University of 
 Colorado Boulder\n\nDiffusion-based smoothers for spatial filtering of grid
 ded geophysical data\n\n"The large-scale part" and "the small-scale part" a
 re intuitively meaningful ideas\, but it can be hard to give them a precise
  meaning when dealing with curved geometries and complex boundaries. We des
 cribe a new way to apply a spatial filter to gridded data\, e.g. from geoph
 ysical models or observations\, focusing on low-pass filters. The new metho
 d is analogous to smoothing via diffusion\, and its implementation requires
  only a discrete Laplacian operator appropriate to the data. The new method
  can approximate arbitrary filter shapes\, including Gaussian filters\, and
  can be extended to spatially-varying and anisotropic filters. The new diff
 usion-based smoother's properties are illustrated with examples from ocean 
 model data and ocean observational products. A Python package called gcm-fi
 lters is available that implements the algorithm.
DTEND:20220222T190000Z
DTSTAMP:20260313T082109Z
DTSTART:20220222T180000Z
LOCATION:
SEQUENCE:0
SUMMARY:Geophysical/Astrophysical Fluid Dynamics Seminar - Ian Grooms
UID:tag:localist.com\,2008:EventInstance_39360790474376
URL:https://calendar.colorado.edu/event/geophysicalastrophysical_fluid_dyna
 mics_seminar_-_ian_grooms
END:VEVENT
END:VCALENDAR