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SUMMARY:Training course: A hands-on introduction to Numerical Weather Pred
 iction Models: Understanding and Experimenting
DTSTART:20231113T084500Z
DTEND:20231117T131500Z
DTSTAMP:20260714T124400Z
UID:indico-event-331@events.ecmwf.int
CONTACT:training@ecmwf.int
DESCRIPTION:This five-day course is mainly practical based and will draw o
 n numerical weather prediction expertise from across ECMWF and provide an 
 overview of the ECMWF model while giving hands-on sessions to give you con
 fidence to carry out your own experimentation with the OpenIFS model (or t
 he IFS).It is an opportunity to learn about: the building blocks of the NW
 P model (physics and dynamics)\; how to work with the output and input GRI
 B data and visualise it\; technical aspects of compiling and running model
  code efficiently.Please refer to the timetable on the left-hand side menu
  for the confirmed agenda of the week.Learning objectives:understand the c
 ore scientific and numerical elements of a NWP modelbe able to install\, m
 odify and work with the modelconduct experiments using a extreme weather e
 xample and manipulate model output.  RequirementsPractical sessions will 
 be run in Jupyter Hub / environment\; no coding experience is assumed but 
 is an advantage.A familiarity with the Unix/Linux environment will help wi
 th the practical sessions.All lectures will be given in English.\n\nhttps:
 //events.ecmwf.int/event/331/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/331/logo-3547453490.png
LOCATION:ECMWF 
URL:https://events.ecmwf.int/event/331/
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