Revised Pressure-Wind and Radial Profile Models: Implications for Tropical Cyclone Archives...
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Transcript of Revised Pressure-Wind and Radial Profile Models: Implications for Tropical Cyclone Archives...
Revised Pressure-Wind and Radial Profile Models: Implications for Tropical
Cyclone Archives
Mesoscale and Microscale Meteorology Division, ESSLNational Center for Atmospheric Research
NCAR is Sponsored by NSF
Greg Holland
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• What Use Tropical Cyclone Archives?– The single most important action we can take;– Most Important Parameters.
• Pressure-Wind Relationships– Role and Archive Requirements;– Pressure-Wind or Vice Versa.
• Reconstructing Historical Surface Winds– Approach and Archive Requirements;
Summary
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• Forecast Statistics;• Statistical Forecasting;• Assessing Climate Variability and Change;• Insurance Premiums;• Building Code Development and
Engineering of Major Structures.
What Use Tropical Cyclone Archives?
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What is the single most important action we can take?
• Intensity;• Overall Wind Structure;• Translational Speed.
What are the Most Important Damage and Engineering Factors?
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R2 : Vm3=27%, Vt=49%, Rh-2 =70%
Willis Hurricane Index α Vm3, Vt, Rh-2
Pressure-Wind Relationships
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Plotted are:• All known P-W Relationships (after Harper 2002);• Black dashed is AH;• Red triangles are Atlantic 1995-2005 observations
Generally take the form: x
mv a p e.g. Atkinson and Holliday: 0.6443.4(1010 )m cv p
Alternative is Dvorak Look-Up Table, which can be translated to:
0.6443.92(1015 )m cv p
What are the Implications for Historical Archives?
• The Good: – They introduced an important level of objectivity;– They can be reproduced, provided we know what was used.
• The Bad:– Widespread use of different approaches without adequate
documentation;– Mixing objective and subjective approaches.
• Further:– Historical relationships were 1-1 and could not possibly capture the true
relationship; however, they were easily reproduceable;– New relationships are multi-variate, which enable capture of some of the
observed scatter; however, this is at the cost of increased difficulty in reproducing what was done, especially if there is inadequate documentation.
Implications of P-W Relationships
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• AH tends to over-estimate intense hurricane winds (Knaff and Zehr 2007), and so does Dvorak (Holland 2008);
Some Known Issues
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• Ad-hoc application, including:– Lack of proper peer review of
many relationships;– Variations in PW relationships;– Sometimes wind as the
primary parameter, other times pressure.
Fortunately, many of these can be reversed later, given adequate documentation
Issues: Western Australia
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0 20 40 60 80
0
20
40
60
80
100
120
Vm (m/s)
DP
(h
Pa
)
Period 1970-2005 Lat 0-30 Long 120-135 Dir All
ActualAH1minAH10min
Atkinson and Holliday relationship using 10 min winds (blue) and 1 min winds (black), showing the incorrect use of AH with 1 min winds.
Improved documentation needed
• Knaff and Zehr (2007):
• Holland (2008):
Recent Revisions for P-W Relations
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0.6443.92(1015 ) ,m cv p
mxtv a bs c d p e p fv
5 2 xct
0.5
pb= -4.4*10 p + 0.01 p + 0.03 - 0.014 +0.15v + 1.0,
tp
x= 0.6 (1- ) , and215
( )m
bv p
e
Holland Model: Dependent NAT Data
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• The variable b reproduces about half the maximum scatter in HURDAT.
• But the scatter experienced by most storms is captured:
• RMSD=3.5 m/s
• 85%<5 m/s
Note Dvorak overestimate
The Importance of RMW
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Black: Holland (2008) model, left original, right including RMWRed: Hurricane model data courtesy of Yuqing Wang (f-plane, 5 km grid, no environmental flow)
20 30 40 50 60 70 80 90
20
40
60
80
100
120
Vm (m/s)
DP
(h
Pa
)
Wang Data 1 Type= 5
ActualDerived
20 30 40 50 60 70 80 90
20
40
60
80
100
120
Vm (m/s)
DP
(h
Pa
)
Wang Data 1 Type= 5
ActualDerived
Should we start with pressure and derive winds, or vice versa?
• Must archive both and document how they were derived;
• If either or both are directly observed, no issue, archive both and document this;
• However, >90% of archives use a combination of satellite inference and subjective judgment;
• Should we estimate winds and infer central pressure, or vice versa?
Maximum Winds/Central Pressure?
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• For Hurricanes, wind responds to changes in the mass field (i.e. heating);
• Pressures are much more conservative:– Easier to observe;– Not subject to wind definition issues;– Not subject to as much high-frequency, “random”
variation;– Less impact from cyclone translation speed variations;– Not affected by supergradient wind issues.
Pressure vs Winds
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e.g. Schubert et al (1980):
Winds Respond to Mass Changes
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Hurricane Core
Wind responds to massMass responds to windE
ffic
ienc
y
Inverse of Deformation Radius
Deep TropicsLarge, weak systems
Mass adjusts to wind
Wind adjusts to mass
Wind vs Pressure Variation
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Blue: cold SST= 26.3C
Red: warm SST=30.3C
Solid: dx = 1.67 km
Dashed: dx = 0.556 km
Wind “noise” at 556 m resolution is ~10 m/s
At 62 m resolution it is >20 m/s (gusts are explicitly simulated)
Model results from Rotunno et al (2008)
Roll Vortices at Landfall
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• Hurricane Dean simulation using ARW• Vertical motion advects low-momentum air upward and
high momentum air downward.• Leads to low level wind variations of ~20 ms-1
Recommend pressure be the primary variable
Reconstructing the Surface Winds
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CY CP L OT : I s ov e l s : V3 ( peak ) m/ s ; Vec t o r s : V3, T he t am Sc a l e : 1mm = 0 . 5 k m
Bur eau o f Me t eo r o l o gy : T C T r ac y _ 19 74Gr i d : C6 Run: T RACY _ 1974 T o t a l V3_ p eak ( max ) Env e l op e
25
30
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35
35
40
40
45
45
50
55
60
65
70
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85
8 5
85
85
90
90 90
90
9090
90 90
90
90
909
0
V 3 ( ma x ) =9 4 . 8 m/ s @ ( 9 3 , 1 1 6 ) ; v b =3 0 6 . 0 d e g , S t e p = 6 7 3 V e c t o r S c a l e : 2 0 . 0 m/ s
Da r wi n A MO Di ne s
S t a r t : 2 0 - D e c - 1 9 7 4 0 0 : 0 0 GMT E n d : 2 5 - De c - 1 9 7 4 1 1 : 5 0 GMTV 3 ( ma x ) : 2 4 - De c - 1 9 7 4 1 6 : 0 0 GMT
Hurricane Tracy Maximum Surface Wind Reconstruction Courtesy Bruce Harper
Needs: Track, Vm, Pc, Penv, RMWDesirable: Venv
Reconstructing the Surface Winds
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Willoughby et al 1982
New approaches enable a good reconstruction of the surface wind field for historical storms, provided the archive includes information on: RMW, Pc, Vm, and Vne.
Vne is winds in the near environment and preferably 4 obs at orthogonal directions.
Also having an estimate of major secondary wind maxima would be useful, but not essential.
Examples of Profile Error Sensitivity
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0 50 100 150 200 250 300-10
-5
0
5
10
Radius (km)
Azi
mu
tha
l W
ind
Dif
fere
nc
e (
m/s
)pn= 1005 pc= 950 bs= 18 vm= 56 vob= 56 RMW= 20 rob= 300
Error Range +5 to -5 m/s
a
0 50 100 150 200 250 300-15
-10
-5
0
5
10
15
Radius (km)
Azi
mu
tha
l W
ind
Dif
fere
nc
e (
m/s
)
pn= 1005 pc= 950 bs= 18 vm= 56 vob= 20000 RMW= 21 rob= 300
Error Range +5 to -5 km
b
0 50 100 150 200 250 300-10
-5
0
5
10
Radius (km)
Azi
mu
tha
l W
ind
Dif
fere
nc
e (
m/s
)
pn= 1005 pc= 950 bs= 18 vm= 56 vob= 17 RMW= 20 rob= 300
Error Range +5 to -5 m/s
c
0 50 100 150 200 250 300-10
-5
0
5
10
Radius (km)
Azi
mu
tha
l W
ind
Dif
fere
nc
e (
m/s
)
pn= 1005 pc= 950 bs= 18 vm= 56 vob= 20 RMW= 20 rob= 300
Error Range +100 to -100 km
d
Maximum Wind Error
External Radius ErrorExternal Wind Error
RMW Error
Needs: Track, Vm, Pc, Penv, RMW and Venv
Summary
Holland, IBTraCS Workshop Asheville 0509
• Tropical Cyclone Archives need to be customer driven, Climate/CAT-Modeling are very important customers:• Track, Pc, RMW, Vm, Penv, Venv,
Quality Flags;• Unless there are good quality direct
observations, Pc is recommended as the primary archive for intensity, with wind derived from a documented P-W relation and other knowledge of wind variations;
• Perhaps we should include an extra section in Annual Tropical Cyclone Reports, which discusses quality issues and uncertainty assessments for the season.
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