Data Assimilation with FIM: results and prospects

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Monday, 3 February 2014
Hall C3 (The Georgia World Congress Center )
Mariusz Pagowski, NOAA, Boulder, CO; and S. G. Benjamin

FIM (Flow-following Finite-volume Icosahedral Model, http://fim.noaa.gov) is being developed at NOAA/ESRL in Boulder. For the last four years, this global weather prediction model provided real-time forecasts allowing for an extensive evaluation and comparison with other models as FIM development has matured.

Using the FIM model with existing NOAA/NCEP global data assimilation, ESRL has recently implemented a data assimilation system relies on the same components as the GFS model: the Gridpoint Statistical Interpolation (GSI) and a deterministic Ensemble Kalman Filter used in a hybrid mode. In the presentation we will show performance of the system, discuss its shortcomings and outline future development.