J7.5 Ensemble data assimilation across a range of scales and phenomena with WRF/DART

Monday, 24 January 2011: 5:00 PM
2B (Washington State Convention Center)
C. Snyder, NCAR, Boulder, CO; and J. Anderson, S. M. Cavallo, D. Dowell, S. Y. Ha, G. Romine, and R. Torn

Ensemble Kalman filters are appealing for mesoscale data assimilation because of the generality of their background covariance model, which potentially is applicable across a range of flows and phenomena. We have developed a set of interfaces and observation operators for the Weather Research and Forecasting model (WRF) within the Data Assimilation Research Testbed (DART). The capabilities of WRF/DART will be summarized, along with results from applications of an ensemble Kalman filter to convective storms (using Doppler radar observations and resolution of ~1 km), tropical cyclones (using mainly conventional observations and resolution of ~10 km) and mesoscale analyses based on surface observations (at resolution of ~10 km).
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