Division of Typhoon Disaster Risk

The project titled “Considering the Effects of Nonflat Terrain in the Parametric Wind Field Model for Typhoons (19ZR1469200)”, funded by the Natural Science Foundation of Shanghai, was approved in January, 2019.


Modeling the resistance effects of the nonflat terrain to the wind fields is important. By using the terrain-following-coordinate system, the effects of nonflat terrain can be solved in the fully dynamic model, for example, the Weather Research and Forecasting Model (WRF), and the muti-layer parametric wind field model for typhoons. However, the above methods need more computational resource and storage capacity, especially in the evaluation aspects on the disaster, which usually needs calculations on the large samples of the order of magnitude over several ten thousand. One alternative method is to use the single-layer parametric wind field models for typhoons, in which the effects of nonflat terrain to the wind fields was modeled. In this project, a terrain drag coefficient ( ct.jpg) was introduced with a theoretical consideration to characterize the resistance effects of nonflat terrain to the wind fields. Then, it was incorporated in a single-layer parametric wind field model for typhoons. The scheme diagraph for the deriving the terrain drag coefficient ( ct.jpg) is shown in Figure 1, and the corresponding control equation for the single-layer parametric wind field model for typhoons is as the follow:

division1.jpg

where, V1.jpg  is horizontal velocity relative to the TC center; vc.jpg  is the moving velocity of the TC vortex; vg.jpg  is the large-scale environmental steering flow; gs1.jpg  is the Coriolis parameter, gs2.jpg is the average angular velocity of the Earth’s rotation,  6.jpg is the latitude of the TC center;  看.jpg is the unit vector in the vertical direction; pp.jpg  is the standard atmospheric density (1.225 么.jpg);  pp.jpg is the pressure corresponding to V1.jpgcd.jpg is the drag coefficient corresponding to the resistance effects of the topographic features; h.jpg  is the depth of the mean boundary layer and roughly equals the height of the mean boundary layer; the new term gs3.jpg  was included, and  cp.jpg is the pressure coefficient at the site point, as shown in Figure 1. As a demonstration on effects of the nonflat terrain to the wind fields, Super Typhoon Saomai in the year of 2006 (0608) is simulated because it made landfall at a site in southern Zhejiang Province, where the terrain is the most complex along the coastal zone in China. Effects of the nonflat terrain to the near surface wind fields can be seen, as shown in Figure 2. It can be clearly seen that the ring of the maximum wind was shrunk when compared to that without considering ct.jpg .

FL1.png

Figure 1. Schematic diagram of the effects of nonflat terrain on the air column.  大H.jpg is the height of site point, dx.jpg is the mesh size, 阿尔法.jpg  is the slope angle, then gs4.jpg  is the length along the interface,  gs5.jpg is the altitude difference corresponding to 德尔塔.jpgF.jpg  is the resistance force produced by the terrain on the air column,  F22.jpg is the horizontal component of resistance force. V.jpg is the moving speed of the air column,  h.jpg is the boundary layer height. 

FL2.png.jpg

Figure 2. Simulated wind fields at 10 m above the underlying surface for the cd.jpg  case (left column: a, d, g, and j) and cd.jpgct.jpg case (middle column: b, e, h, and k) of Super Typhoon Saomai (0608). The typhoon center is over the sea far away from the land (a and b, at 10:00 on 10 August before landfall); over the sea near the land (d and e, at 16:00 on 10 August before landfall); over the coastal zone (g and h, at 18:00 on 10 August right after landfall); and entirely over the land (g and h, at 22:00 on 10 August after landfall). The corresponding azimuth-averaged radial wind profiles and their differences are also shown in the right column (c, f, i, and l). The black arrow symbol shows the moving direction, and the red plus symbol indicates the typhoon center.