n fŻÈwêU n ÈwçtÁÊuï ú: 2010N122ú(à) 15:00 - 16:30 ê: sċww1Ù 563ş èÚ: Targeted Observation, Data Assimilation, and Tropical Cyclone Dynamics and Predictability uÒ: Dr. Chun-Chieh Wu (Department of Atmospheric Sciences, National Taiwan University, Taiwan) uv|: In this lecture, highlights of three advanced tropical cyclones (TC) research issues are presented: 1) the targeted observation of tropical cyclones (TC) in DOTSTAR (Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region) and T-PARC (THORPEX - Pacific Asian Regional Campaign) in 2008, 2) a newly-developed TC initialization and assimilation method based on EnKF, and 3) a unique investigation of dynamical processes during eyewall evolution in Typhoon Sinlaku during T-PARC. Three observation operators are designed for the TC assimilation, including the vortex center location, vortex translation vector, and lower-level axisymmetric component of the wind-radius profile. It is shown that after the 24-h assimilation period in the high-resolution mesoscale model, with the above three parameters assimilated through EnKF, a more realistic, dynamically well-balanced, and model-consistent vortex structure can be constructed. This method provides a useful means to improve the initial condition for TC model simulations and predictions, especially when detailed TC structure data are available. The valuable TC data obtained from multiple airplanes in DOTSTAR and T-PARC are then assimilated through the continuous update cycle to reconstruct a model- observation consistent dataset, which can be used to examine the evolution of TC track, intensity and structure change. Typhoon Sinlaku is a case in point under DOTSTAR and T-PARC with the most flight observation with the potential to address major scientific issues in T-PARC ranging from structure change, targeted observations to extra-tropical transition. By assimilating all available dropwindsondes and SFMR (Stepped Frequency Microwave Radiometer) data from 9 T-PARC flight missions with 157 dropwindsondes deployed for Typhoon Sinlaku (2008) during September 9 to 13, a unique high-spatial/ temporal-resolution and model/observation-consistent dataset is constructed for Sinlaku. Further sensitivity simulations of Sinlaku are conducted starting at different initial time, and therefore with different data assimilated. It is striking that some of the simulations are able to capture the secondary eyewall cycle, while the others with fewer data assimilated are not. This provides an opportunity to investigate the dynamical processes of the concentric eyewall formation in Sinlaku and its predictability. In particular, important parameters, including the filamentation time and beta skirt (vorticity gradient) in 2D-turbulence context, are calculated to examine the validity of the extant theory on the formation of concentric eyewall. The uncertainty of the ensemble members in predicting the TC track, eyewall, and structure evolution also provides useful physical insights into the TC predictability. â˘íıĉ: ÎŞ \ê