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A Numerical Study of the Track Deflection of Supertyphoon Haitang (2005) Prior to Its Landfall in Taiwan Speaker: Chen, D-S Advisor : Prof. Yang, M-J REFERENCE:

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Presentation on theme: "A Numerical Study of the Track Deflection of Supertyphoon Haitang (2005) Prior to Its Landfall in Taiwan Speaker: Chen, D-S Advisor : Prof. Yang, M-J REFERENCE:"— Presentation transcript:

1 A Numerical Study of the Track Deflection of Supertyphoon Haitang (2005) Prior to Its Landfall in Taiwan Speaker: Chen, D-S Advisor : Prof. Yang, M-J REFERENCE: Jian, G.-J., and C.-C. Wu, 2008: A Numerical Study of the Track Deflection of Supertyphoon Haitang (2005) prior to its landfall in Taiwan. Mon. Wea. Rev., 136,

2 Outline Introduction Brief overview Model setup and experiment design
Numerical results Discussion and conclusions

3 Introduction The prior from1958 to 2005,161 Typhoons, 86 of them making landfall in Taiwan. 70% of total land area consists of mountain In 2005 ,3 supertyphoon landfall in Taiwan, supertyphoon Haitang have the track deflection.

4 Introduction (cont.) The three question:
1)What dynamical processes are responsible for Haitang’s track deflection before landfall in Taiwan? 2)What is the role played by Taiwan’s terrain? 3)What is the impact of the vortex structure ,that is, with different values of structure parameter in the initial vortex?

5 Brief Overview TD 230 N TS 17 m/s 00Z 12 July 2005
Guam NNE 900 Km ST m/s Z 16 July 2005 # Max. intensity Wind speed m/s Z 16 July MSLP h Pa # Landfall About 30 km north of Hua-Lien at 0650 UTC 18 July radar

6 Brief Overview (cont.) Caused 12 deaths and the property damage of at least $150 million Moving across the CMR , further weakened to a tropical storm at 06Z 19 July Finally , second landfall over the Fulian and then became a TD at 12Z 20 July Radar Wu-Fen-Shan (WSR-88D) Hua-Lien (METEOR 1000S) 18Z 17 July ~ 05Z 18 July

7 Model Setup Model Domain Levels Microphysics PBL Radiation IC BC
WRF-ARW modeling system, V (72-h integration and begin from 00Z 17 July 2005) Domain D1 : 12 km (191 x 191) ; D2 : 4 km (121 x 121) two-way Levels 31 levels, 8 levels in the lowest 1 km, extend vertically up to100 hPa Microphysics WSM 5-class scheme (Hong et al. 2004) PBL YSU (Hong et al.) Radiation Rapid Radiative Transfer Model (RRTM) long wave (Mlawer et al ) and Dudhia short wave scheme (Dudhia 1989) IC CWB Non-hydrostatic Forecasting System (NFS), IC are available every 12h and 15 Km x 15 Km grid and BC 6h intervals BC TY bogusing NCAR-AFWA scheme (Davis and Low-Nam 2001)

8 Experiment Design • The NCAR–AFWA bogusing scheme (Davis and Low-Nam 2001) to implant an initial Rankine vortex into the operational CWB NFS analysis. The Rankine vortex is

9 Numerical Results CTRL CTRL NT NT

10 Numerical Results dBz 17/18Z ~ 18/05Z CTRL 27h ~ 42h

11 Numerical Results Max. Wind Speed (m/s) 28h 29h 30h 31h 32h 33h
W-E

12 Numerical Results

13 Average asymmetric flow
Numerical Results 33h 3.3 m/s Average asymmetric flow Storm motion vector

14 Numerical Results

15 Max. tangential wind inside the radius
Numerical Results R=100km E S W N Max. tangential wind inside the radius The higher Vmax before about 31h is on the northeastern , between 31 and 35 h, the max. shifts to the western side of the storm.

16 Numerical Results The advection wind vectors ( red arrow) of H70 and H40 experiment are also pointing to the southwest. 2.5 m/s 2.4 m/s The storm motion vector (yellow arrow) parallel with 700 hPa. The region of stronger wind in H10 and FLAT simula-tions generally appears in the NNE. 1.5 m/s 2.3 m/s Moving westward with translation speed of 1.5 m/s and 2.3 m/s, which agree well with the adv-ection wind vectors

17 Numerical Results A35 A47 CTRL MMTW (m/s) 52.3 47.4 42.1
MSLP (hPa) RMWs (km) MMTW : max. mean tangential wind MSLP : mean sea level pressure RMW : the radius of max. wind

18 Numerical Results

19 Discussion and Conclusions
All experiments are performed with highest horizontal resolution of 4 km using the WRF-ARW modeling system, v , all the 72-h model simulations begin at 00Z 17 July 2005. Sensitivity experiments of the Taiwan terrain, for experiments with the terrain height decreased to 70% or 40% of that in CTRL, the simulated storm still exhibits a looping path before landfall. The Taiwan terrain plays a significant role in the track deflection. When Haitang was about 60km east of Taiwan, the low-level flow on the western side of storm center accelerated because the air parcels originate from a relatively wider area.

20 Discussion and Conclusions (cont.)
The high terrain in Taiwan plays a critical role in inducing the strong low-level northerly jet to the west of the center of Haitang, and thus a southward advection flow that leads to the southward drift. The storm in A35 is larger, more intense , and more rapidly moving vortex and therefore would be more likely to move across the Taiwan terrain with less track deflection. Although a low-level northerly jet is also predicted in the western portion of the A35 storm, the strongest winds associated with the storm are on the eastern side of the storm.

21 ~ THANK YOU ~


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