The analysis of typhoon parameters
by using AMSU data
DATA
METHOD
RESULTS
CONCLUSION
n
T ( p ) = C o ( p , θ s ) + Σ C i ( p , θ s ) T b (ν i , θ s )
i =1
f∇ 2ψ + 2(ψ xxψ yy − ψ 2 xy ) + ψ x f x + ψ y f y = ∇ 2φ
1
1 2
2 1
2
2
(ψxx +ψyy + f ) − (ψxx +ψyy) −2ψ xy +(ψx fx +ψy fy) −(Φxx +Φyy + f ) =0
2
2
2
V= k ¡ Ñ
¡ ψ
¾
∂ 2ω
∂
∇ (σω ) + fξ a 2 = f
(Vψ + Vx ) ⋅ ∇ξ
∂p
∂p
R
+ (∇ 2Vψ + ∇ 2Vx ) ⋅ ∇T
P
∂
∂
∂ξ
(ξ∇ 2 x) + f
(ω )
−f
∂p
∂p ∂p
∂
∂ψ
+f
(∇ω ⋅ ∇
)
∂p
∂p
2
∂2
R
2
−
∇ Q + fg 2 ∇ × τ
CpP
∂p
∂ω
∇ x+
=0
∂p
2
CLW = cosθ {D0 + D1 ln[Ts − TB (ν 1 )]
+ D
2
ln[ T s − T B (ν
R = 0.002(100CLW )
1.7
£ =
n C D ¡ ýu b ¡ ýu b
2
]}
Time 2001 / 09 / 14 / 23 / 34
276
256
236
217
197
178
AMSU channel 2
Time : 2001/ 09 / 16 / 10 / 24
278
255
233
210
188
166
500hPa
Conclusion and future work
• Three dimensional Typhoon temperature and wind fields
can be estimated by AMSU data. And typhoon various
structure at different environments could be depicted.
• The typhoon fields driven from AMSU could provide an
initial condition for NWP forecast.
• In estimating process assumed 50 hPa height is constant
and integrated from top to lower levels to calculate height
at each levels seem reasonable.
• More case test
• More accurate temperature estimate ( data or technique)