We further demonstrate the potential of using the ensemble-based data assimilation system to assimilate satellite infrared radiance observations from to-be-launched GOES-R on the analysis and forecast of tropical cyclones. GOES-R will contain 10 infrared channels with 2 km x 2 km spatial resolution with images produced every 15 minutes. The assimilation of such high-resolution GOES-R satellite observations in both clear and cloudy skies is challenging but the preliminary results through the observing system simulation experiments are very encouraging for both convection-permitting hurricane analysis and prediction.
Empowered by sufficient computing resources, advances in both deterministic and probabilistic hurricane prediction will enable emergency management officials, the private sector, and the general public to make more informed decisions that minimize the losses of life and property.
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