Search Results
72-h HWRF simulation. In addition, the adjustment of MSLP during the first 6-h forecast of RL-4D-TCI is not observed in RL-4DRES-TCI ( Fig. 10b ), implying that the high-resolution background error covariance and denser observational bin can possibly reduce the initial adjustment in HWRF after DA. Following Pu et al. (2016) , the net radial force field F , which is defined as the difference between the sum of the Coriolis and centrifugal forces and the radial pressure gradient force, is
72-h HWRF simulation. In addition, the adjustment of MSLP during the first 6-h forecast of RL-4D-TCI is not observed in RL-4DRES-TCI ( Fig. 10b ), implying that the high-resolution background error covariance and denser observational bin can possibly reduce the initial adjustment in HWRF after DA. Following Pu et al. (2016) , the net radial force field F , which is defined as the difference between the sum of the Coriolis and centrifugal forces and the radial pressure gradient force, is
appropriate SAMURAI wind increments. For each of these three domain 2 time steps, three time steps are taken on the 5-km domain 3 centered on the TC forecast position (both domains 2 and 3 are moved with the storm). In each time step on each domain, the mass fields will be adjusted to the SAMURAI wind increment forcing derived for that 15-min AMV dataset. Since the time steps for domains 1, 2, and 3 are 90, 30, and 10 s, the SCDI with 15-min AMV datasets will have 10, 30, and 90 time steps, respectively
appropriate SAMURAI wind increments. For each of these three domain 2 time steps, three time steps are taken on the 5-km domain 3 centered on the TC forecast position (both domains 2 and 3 are moved with the storm). In each time step on each domain, the mass fields will be adjusted to the SAMURAI wind increment forcing derived for that 15-min AMV dataset. Since the time steps for domains 1, 2, and 3 are 90, 30, and 10 s, the SCDI with 15-min AMV datasets will have 10, 30, and 90 time steps, respectively
