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The Workshop on Flow-dependent aspects of data assimilation will be held from 11 to 13 June 2007.
The workshop will consider advances in data assimilation methods that address the flow-dependence of the analysis problem. Current assimilation methods for operational numerical weather prediction rely on time-averaged covariance statistics that may be close to optimal on average, but which are quite incorrect in extreme situations such as intense baroclinic development, strong organised convection and tropical cyclones. Such cases are of particular interest, both to weather forecasters and to the general public, because of their unusual nature, high intensity, and impact on society. Flow dependence is important in less extreme situations too. Properly accounting for the day-to-day variation of error statistics, as well as their anisotropies and inhomogeneities, has the potential to significantly improve analysis quality.
Flow dependence would also allow more effective use of the available observations, and facilitate quality control that could retain extreme observations. Topics for the workshop will include: ensemble-assimilation methods, state-dependent modelling of background-error statistics, flow-dependent quality control, data selection, and targeting of observations.
Workshop attendance is by invitation only.
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