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SUMMARY:Training course: Data assimilation
DTSTART:20220228T083000Z
DTEND:20220304T174500Z
DTSTAMP:20260415T012800Z
UID:indico-event-272@events.ecmwf.int
CONTACT:events@ecmwf.int
DESCRIPTION:\n\nThis training course was held virtually.\n\nThis five-day 
 course focuses on describing data assimilation methods and general aspects
  of assimilating observations. Aspects of the implementation of the assimi
 lation techniques for real-size numerical weather prediction (NWP) systems
  will also be described.\n\nAs well as lectures there will be discussion a
 nd hands-on sessions.\n\nMain topics\n\n\n	The fundamental data assimilati
 on concepts\n	Optimal Interpolation\, 3D-Var\, 4D-Var and the Kalman filte
 r\n	Ensemble Kalman Filter methods\; Ensemble of Data Assimilations and un
 certainty estimation\; Hybrid variational/ensemble based methods\n	Modelli
 ng of error covariances\; handling of non-Gaussian errors\n	The global obs
 erving system\, with emphasis on how to use satellite observations\n	Bias 
 correction\, quality control and diagnostics\n	Applications of data assimi
 lation methods for the land surface\, ocean\, atmospheric composition and 
 reanalysis\n\n\nRequirements\n\nParticipants should have a good meteorolog
 ical and mathematical background\, and in particular a good understanding 
 of linear algebra. They are expected to be familiar with the contents of s
 tandard meteorological and mathematical textbooks.\n\nIntroductory materia
 l not covered by the course can be found in our lecture note series.\n\nSo
 me practical experience in numerical weather prediction is an advantage.\n
 \nAll lectures will be given in English.\n\nhttps://events.ecmwf.int/event
 /272/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/272/logo-3547453490.png
LOCATION:Virtual
URL:https://events.ecmwf.int/event/272/
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