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SUMMARY:Training course: Data assimilation
DTSTART:20240304T090000Z
DTEND:20240308T143000Z
DTSTAMP:20260416T045400Z
UID:indico-event-376@events.ecmwf.int
CONTACT:training@ecmwf.int
DESCRIPTION:This five-day course focuses on describing data assimilation m
 ethods and general aspects of assimilating observations. Aspects of the im
 plementation of the assimilation techniques for real-size numerical weathe
 r prediction (NWP) systems will also be described.As well as lectures ther
 e will be discussion and hands-on sessions. Main topicsThe fundamental da
 ta assimilation conceptsOptimal Interpolation\, 3D-Var\, 4D-Var and the Ka
 lman filterEnsemble Kalman Filter methods\; Ensemble of Data Assimilations
  and uncertainty estimation\; Hybrid variational/ensemble based methodsMod
 elling of error covariances\; handling of non-Gaussian errorsThe global ob
 serving system\, with emphasis on how to use satellite observationsBias co
 rrection\, quality control and diagnosticsApplications of data assimilatio
 n methods for the land surface\, ocean\, atmospheric composition and reana
 lysisRequirementsParticipants should have a good meteorological and mathem
 atical background\, and in particular a good understanding of linear algeb
 ra. They are expected to be familiar with the contents of standard meteoro
 logical and mathematical textbooks.Introductory material not covered by th
 e course can be found in our lecture note series.Some practical experience
  in numerical weather prediction is an advantage.All lectures are given in
  English.\n\nhttps://events.ecmwf.int/event/376/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/376/logo-3547453490.png
LOCATION:ECMWF
URL:https://events.ecmwf.int/event/376/
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