PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE The impact of T-TREC-retrieved wind and radial 10.1002/2015JD024001 velocity data assimilation using EnKF Key Points: and effects of assimilation window • T-TREC-retrieved wind and radial velocity data are assimilated using an on the analysis and prediction ensemble Kalman filter • The relative impacts of two data sets of Typhoon Jangmi (2008) on analysis and prediction changes with assimilation windows Mingjun Wang1,2, Ming Xue1,2,3, and Kun Zhao1 • The combination of retrieved wind and radial velocity produces better 1Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing, analyses and forecasts China, 2Center for Analysis and Prediction of Storms, Norman, Oklahoma, USA, 3School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA Correspondence to: M. Xue, Abstract This study examines the relative impact of assimilating T-TREC-retrieved winds (VTREC)versusradial
[email protected] velocity (Vr) on the analysis and forecast of Typhoon Jangmi (2008) using an ensemble Kalman filter (EnKF). The VTREC and Vr data at 30 min intervals are assimilated into the ARPS model at 3 km grid spacing over four different Citation: assimilation windows that cover, respectively, 0000–0200, 0200–0400, 0400–0600, and 0000–0600 UTC, 28 Wang, M., M. Xue, and K. Zhao (2016), September 2008. The assimilation of VTREC data produces better analyses of the typhoon structure and intensity The impact of T-TREC-retrieved wind and radial velocity data assimilation than the assimilation of Vr data during the earlier assimilation windows, but during the later assimilation using EnKF and effects of assimilation windows when the coverage of Vr data on the typhoon from four Doppler radars is much improved, the window on the analysis and prediction assimilation of V outperforms V data.