DavidJ.Raymondkestrel.nmt.edu/~zeljka/downloadfiles/tswap/davep.pdf · TyphoonNurioverview 120 125...
Transcript of DavidJ.Raymondkestrel.nmt.edu/~zeljka/downloadfiles/tswap/davep.pdf · TyphoonNurioverview 120 125...
Thermodynamics of Tropical Cyclogenesis1
David J. Raymond
New Mexico TechSocorro, NM, USA
May 23, 2011
1This work supported by the US Office of Naval Research and NationalScience Foundation.
Collaborators
I Carlos LópezI Sharon SessionsI Saška Gjorgjievska
Flux Form of Vorticity Equation (Haynes and McIntyre 1987)
Vertical component of absolute vorticity:
∂ζz∂t
+ ∇h · Z + k̂ ·∇hθ ×∇hΠ = 0
Horizontal flux of vertical vorticity:
Z = Z 1 + Z 2 + Z f = vhζz − ζhvz + k̂ × F
Vertical component of baroclinic generation (ignore):
k̂ ·∇hθ ×∇hΠ ≈ 0
Circulation Tendency Equation
dΓ
dt= −˛
vnζzdl +
˛ζnvzdl +
˛Ftdl
Γ =
ˆζzdA
n
t
A
Top and bottom-heavy mass flux profiles
strong downdrafts weak downdrafts
updraft and downdraft mass flux
Typhoon Nuri overview
120 125 130 135 140 145 150 155 160longitude (deg E)
0
5
10
15
20
25
30
lati
tude (
deg N
)
TWTDTSTY
Nuri track, sea surface temperature (C)
26
27
28
29
30
31
Nuri 1 (tropical wave)
10 m/s
143 144 145 146 147 148 149 150longitude (deg E)
11
12
13
14
15
16
17
18
lati
tude (
deg N
)
z = 1.2 km
−0.3
−0.2
−0.1
0.0
0.1
0.2
0.3
143 144 145 146 147 148 149 150longitude (deg E)
11
12
13
14
15
16
17
18
lati
tude (
deg N
)
z = 5.0 km
−0.3
−0.2
−0.1
0.0
0.1
0.2
0.3
Nuri 1: relative winds, absolute vorticity (ks−1 )
Nuri 2 (tropical depression)
10 m/s
138 139 140 141 142 143longitude (deg E)
13
14
15
16
17
18
lati
tude (
deg N
)
z = 1.2 km
−0.3
−0.2
−0.1
0.0
0.1
0.2
0.3
0.4
138 139 140 141 142 143longitude (deg E)
13
14
15
16
17
18
lati
tude (
deg N
)
z = 5.0 km
−0.3
−0.2
−0.1
0.0
0.1
0.2
0.3
0.4
Nuri 2: relative winds, absolute vorticity (ks−1 )
Nuri 1 vorticity budget
0 5 10 15 20 25
circulation (km2 /s)
0
4
8
12
16
heig
ht
(km
)
−30 −15 0 15 30
circ tend (km2 /s/day)
0
4
8
12
16
convergence
tilting
friction
net
−5 0 5 10 15
mass flux (109 kg/s)
0
4
8
12
16
Nuri 1
Nuri 2 vorticity budget
0 5 10 15 20 25
circulation (km2 /s)
0
4
8
12
16
heig
ht
(km
)
−30 −15 0 15 30
circ tend (km2 /s/day)
0
4
8
12
16
convergence
tilting
friction
net
0 5 10 15
mass flux (109 kg/s)
0
4
8
12
16
Nuri 2
Tropical wave TCS030 overview
120 125 130 135 140 145 150 155 160longitude (deg E)
0
5
10
15
20
25
30
lati
tude (
deg N
)
TW
TCS030 track, sea surface temperature (C)
26
27
28
29
30
31
TCS030 (Weak tropical wave)
10 m/s
140 141 142 143 144 145 146 147longitude (deg E)
10
11
12
13
14
15
16
17
lati
tude (
deg N
)
z = 1.2 km
−0.3
−0.2
−0.1
0.0
0.1
0.2
0.3
140 141 142 143 144 145 146 147longitude (deg E)
10
11
12
13
14
15
16
17
lati
tude (
deg N
)
z = 5.0 km
−0.3
−0.2
−0.1
0.0
0.1
0.2
0.3
TCS030: relative winds, absolute vorticity (ks−1 )
TCS030 vorticity budget
0 5 10 15 20 25
circulation (km2 /s)
0
4
8
12
16
heig
ht
(km
)
−30 −15 0 15 30
circ tend (km2 /s/day)
0
4
8
12
16
convergence
tilting
friction
net
−5 0 5 10 15
mass flux (109 kg/s)
0
4
8
12
16
TCS030
Summary 1
I Circulations spin up when the positive circulation tendency dueto the convergence of vorticity exceeds the negative tendencydue to friction.
I Top-heavy convective mass flux profiles generate mid-levelspinup.
I Bottom-heavy mass flux profiles generate low-level spinup.
Question: What controls the magnitude and shape of mass fluxprofiles?
Over the Pacific at dawn
Nice clouds
Rough ocean
Thermodynamic study of 5 Pacific systems
I Nuri (1 and 2) developing typhoonI TCS025 (1 and 2) strong waveI TCS030 weak waveI TCS037 developing midget tropical cycloneI Hagupit developing typhoon (very early stage)
Soundings in moist entropy form – TCS030
200 220 240 260 280 300 320moist entropy (J/K/kg)
0
2
4
6
8
10heig
ht
(km
)Mean Soundings
TCS030
Soundings in moist entropy form – Nuri1
200 220 240 260 280 300 320moist entropy (J/K/kg)
0
2
4
6
8
10heig
ht
(km
)Mean Soundings
TCS030
Nuri1
Soundings in moist entropy form – Nuri2
200 220 240 260 280 300 320moist entropy (J/K/kg)
0
2
4
6
8
10heig
ht
(km
)Mean Soundings
TCS030
Nuri1
Nuri2
Thermodynamic Effect of Vortices
Developing disturbanceWest Pacific wave
PV anomaly
warmPV anomaly
warmReed and Recker (1971)
cool
Rain and Mass Flux Profiles (Raymond and Sessions 2007)
2 1 0 1 2
θ perturbation (K)
0
5000
10000
15000
20000
he
igh
t (m
)
unperturbed
δθ = ± 0.5 K
δθ = ± 1.0 K
δθ = ± 2.0 K
A
0 0.5 1
moisture perturbation (g/kg)
unperturbed
δr = 0.25 g/kg
δr = 0.5 g/kg
δr = 1.0 g/kg
B
Rain and Mass Flux Profiles (cont...)
5 10 15 20
imposed windspeed (m/s)
0
10
20
30
40
50
60
rain
ra
te (
kg
/m2/d
ay)
unperturbed
δθ = ± 2.0 K
δr=1.0 g/kg
A
5 10 15 20
imposed windspeed (m/s)
0
0.2
0.4
0.6
0.8
1
NG
MS
unperturbed
δθ = ± 2.0 K
δr = 1.0 g/kg
B
Rain and Mass Flux Profiles (cont...)
0 0.01 0.02 0.03
mass flux (kg/m2s)
0
5000
10000
15000
20000
he
igh
t (m
)
unperturbed
δθ = ± 0.5 K
δθ = ± 1.0 K
δθ = ± 2.0 K
vy=7m/s
A
0 0.01 0.02 0.03
mass flux (kg/m2s)
unperturbed
δr = 0.25 g/kg
δr = 0.5 g/kg
δr = 1.0 g/kg
vy=7m/s
B
Rain and vorticity convergenceWater budget in a control volume:
d [r ]
dt= − [∇h · (vhr)]− g(R − F rs)
Mixing ratio: r ; Rainfall rate: R ; Surface evaporation rate: F rs ;Area average: X ; Area average and pressure integral: [X ];Use to estimate rainfall rate (steady state):
R ≈ F rs − [∇h · (vhr)]
Boundary layer vorticity convergence and rainfall rate:
−∇h · (vhζz)bl
ζz= −C
[∇h · (vhr)]
W
Precipitable water: W
Rain and vorticity convergence observed
−0.3 0.0 0.3 0.6 0.9scaled moist conv (day−1 )
−0.4
0.0
0.4
0.8
1.2
1.6
2.0
2.4
scale
d v
ort
conv (
day−1)
slope = 1.05
Mid-level vortex and low-level spinup
0.03 0.06 0.09 0.12 0.15mid-level vorticity (ks−1 )
−0.04
0.00
0.04
0.08
0.12
0.16
vte
nd
low
(ks−1day−1)
Summary 2
I A mid-level circulation provides a thermodynamic environmentwhich promotes bottom-heavy convective mass flux profilesand more intense rain.
I Intense rain is correlated with strong vorticity convergence.I These factors promote low-level spinup and consequent
formation of a warm-core cyclone.
Question: What limits mid-level vortices?
Clouds from G-V over Atlantic
Visible image of Hurricane Earl (2010)
View from the hotel
Rain and Saturation Fraction (Raymond, Sessions, andFuchs 2007)
0 0.2 0.4 0.6 0.8 1
saturation fraction
300
290
280
270
260
250
240
230
220
210
200IR
brightn
ess tem
pera
ture
(K
)EPIC soundings
EPIC dropsondes
ECAC soundings
5
10
15
20
25E
PIC
P3
radar ra
inra
te (m
m/d
)
Saturation Fraction and Moist Entropy
Saturation fraction (S):
S =[r ]
[r∗]=
[s − sD ]
[s∗ − sD ]
Approximate moist entropy (s) and saturated moist entropy (s∗):
s = CP ln(T/TF )− R ln(p/pR) + Lr/TF = sD + Lr/TF
s∗ = sD + Lr∗(sD , p)/TF
Moist entropy budget in a control volume:
d [s]
dt= − [∇h · (vhs)] + [G ] + g
(F es − F et
)Area average: X ; Area average and pressure integral: [X ];Irreversible generation: [G ]; Upward fluxes: F es − F et
Environmental injection of dry airNormalized Okubo-Weiss parameter (measure of rotation vs.horizontal strain; Dunkerton et al. 2009):
N =ζ2r − σ2
1 − σ22
ζ2r + σ2
1 + σ22
where
ζr =∂v∂x− ∂u∂y
σ1 =∂v∂x
+∂u∂y
σ2 =∂u∂x− ∂v∂y
Averaged over middle levels (3-5 km).
vorticity strain
Entropy tendency and Okubo-Weiss
0.3 0.5 0.7 0.9 1.1
normalized Okubo-Weiss
−1.8
−1.2
−0.6
0.0
0.6
ent
tend (
J/K
/m2
/s)
Summary 3
I The entropy tendency should be a measure of futureintensification, since this tendency is related to the saturationfraction tendency, and hence the prospects for future rainfall.
I A small value of the normalized Okubo-Weiss parameter islikely to be correlated with the import of dry air via strainflow, and hence a negative entropy tendency.
I Entropy tendency and normalized Okubo-Weiss are wellcorrelated and the three systems undergoing intensificationhad positive entropy tendency and N > 0.8.
The NCAR Gulfstream-V aircraft in St. Croix