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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260420T093904Z
DTSTART:20260413T130000Z
DTEND:20260413T140000Z
SUMMARY:SQUIDS Seminar: Treating sample covariance matrices in weather fo
 recasting applications
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}c21p-mo706b
 as-s0924e
DESCRIPTION:Speaker: Dr Jemima M. Tabeart (TU Eindhoven\, NL)\n\nAbstract
 : \nIn applications\, real-world data can often result in matrices which
  don't respect known theoretical properties (e.g. loss of symmetry\, neg
 ative eigenvalues). Practitioners use various techniques to alter this r
 aw data\, but what is the mathematical effect of these methods? In this 
 talk I will present two methods that are used at weather forecasting cen
 tres to mitigate problems of ill-conditioning associated with sample mea
 surement covariance matrices\, and study them from a theoretical perspec
 tive. I will present some results in conjunction with the Met Office\, i
 ncluding a case study in the full-scale system. Based on these findings 
 I will then present some new preconditioners that can be used to acceler
 ate the solution of linear systems for matrices with realistic\, but cha
 llenging\, mathematical properties. 
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Frank Adams Room 2\, Alan Turing Building\, Manchester
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