The Workshop on Diagnostics of data assimilation system performance will be held from 15 to 17 June 2009.
Data assimilation schemes have evolved into complicated systems with millions of degrees of freedom and handling massive amounts of observations. Effective monitoring of these systems is required and emerging techniques are now rapidly developing at most NWP centres. This review of the various methodologies and their effectiveness in diagnosing the impact of observations in NWP is suitably timely.
Workshop objectives
The workshop will consider all developed techniques to measure the performance of the assimilation system in numerical weather prediction. Impact of observations in the assimilation and the short range forecast will be assessed through different diagnostic techniques. In particular, methodologies to evaluate the analysis optimality related to all the analysis input parameters as the covariance matrices will be presented. Over the last few year, adjoint techniques have also been used to assess the observation impact in the short-range forecast, this methodology will be shown and compared with the more commonly used Observation System Experiment technique. Adjoint technique will further exploit to measure the impact in the short-range forecast of all the analysis input parameters. Methodology for assessing observation and model bias through re-analysis experiment will be also discussed.
Attendance
Workshop attendance is by invitation only. However, if you wish to give a poster at the workshop please submit a request via Call for Posters - CLOSED
Request should be submitted no later than 24 April 2009 and decision regarding acceptance will be communicated within one week after the deadline.
For further information please contact the workshop organizers.
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