“gustav” 2002
DESCRIPTION
Cyclone Phase Space: One method to diagnose current & forecast cyclone structure or “ Terapia para o ciclone com uma crise de identidade ”. “Gustav” 2002. “Catarina” 2004. Motivation. Cyclones are not simply “tropical” or “extratropical” There is a great range of hybrid-type cyclones - PowerPoint PPT PresentationTRANSCRIPT
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Cyclone Phase Space: One method to diagnose current
& forecast cyclone structureor
“Terapia para o ciclone com uma crise de identidade”
“Gustav” 2002 “Catarina” 2004
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Motivation• Cyclones are not simply “tropical” or “extratropical”
• There is a great range of hybrid-type cyclones
• These are often the most challenging since we do not have conceptual models for them
• Do these cyclones exist because of competing energy sources?
• We will take a fresh look at the range of cyclone structure and propose a method to classify them all
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Test: Separate the 5 tropical cyclones from the 5 non-tropical.
Images courtesy NCDC
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Some relevant questions…• What makes a cyclone warm or cold-core?
• If all low pressure areas result from a column of air that is on average warmer than its environment, how can there be cold-core cyclones?
• What are the hydrostatic consequences of this thermodynamic structure & the resulting profile of cyclone “strength”?
• What about existence of mixed phase cyclones?
• Why do we care? 60 knots is 60 knots!
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Some practical issues related to structure
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The benefits and drawbacks of relying on climatology
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Model interpretation: What type of development?
PMIN=1009hPa PMIN=1001hPa
PMIN=1003hPa PMIN=1005hPa
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Why is the phase of a cyclone important?
• Predictability is a function of cyclone phase• Model interpretation/trust is a function of phase• It is often not at first apparent what the model is
forecasting, or the nature of cyclone development• Peak intensity is a function of cyclone phase
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Additional relevance: Predictability
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Additional relevance: Predictability
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Non-conventional cyclones: Examples
1938 New England Hurricane
?
940hPa
Pierce 1939
• Began as intense tropical cyclone
• Rapid transformation into an intense hybrid cyclone over New England (left)
• Enormous damage ($5-10 billion adjusted to 2008). 10% of trees downed in New England. 600+ lives lost.
• Basic theories do not explain a frontal hurricane
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12
21 December 1994
22 December 1994
23 December 1994 24 December 1994
Example of nonclassic structure
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Non-conventional cyclones: ExamplesChristmas 1994
Hybrid New England Storm
NCDC
• Gulf of Mexico extratropical cyclone that acquired partial tropical characteristics
• A partial eye was observed when the cyclone was just east of Long Island
• Wind gusts of 50-100mph observed across southern New England
• Largest U.S. power outage (350,000) since Andrew in 1992
• Forecast 6hr earlier: chance of light rain, winds of 5-15mph.
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Non-conventional cyclones: ExamplesCatarina (2004)
NCDC
• Demonstrates that we cannot rely purely on the historical record to diagnose and forecast structure
• What was Catarina?
• We can say it “looks” more like a hurricane than a significant number of north Atlantic hurricanes!
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Summary of relevance:
• Classification
• Better understanding of the current state
• Applying conceptual models
• The type/extent of expected impact/damage
• Quantifying potential for intensity change and uncertainty– How can intensity change be forecast if there is great structural uncertainty?
• Amount of intrinsic (mis)trust of numerical model forecasts
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The end result:We need a diagnosis of basic
cyclone structure that is more flexible than only tropical
or extratropical
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Goal:A more flexible approach to cyclone characterization
To describe the basic structure of tropical, extratropical, and hybrid cyclones simultaneously using a cyclone phase space.
Phase Space
Parameter A
Par
amet
er B
Para
met
er C
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What parameters to use?• Maximum wind? Minimum pressure?
– Too simple & does not discriminate
• Vorticity?– What level?
• Potential vorticity?– Separating vorticity and stability is important
• Q-vectors? – Does not simplify the continuum
• Energetics?– Ideal, but not practical in real-time
• Something more basic: thermal wind & asymmetry
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Let us begin with a review the structure of the text-book cyclone types
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Classic warm-core cyclone: TC
Low pressure results
from column of air on
average warmer than
environment, with the
anomalous warmth in
the troposphere
Source:
Advanced Microwave
Sounder (AMSU)
Temperature AnomalyImage courtesy Mark DeMaria, CIRA/CSU
www.cira.colostate.edu/ramm/tropic/amsustrm.asp
Hurricane Bonnie (1998) Temperature Anomaly12km
6km
1km
-
+
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Classic warm-core cyclone: TC
TC Height Field (m) from hydrostatic balance
Warm: expansion of surfaces
Cold: contraction of height surface
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Classic warm-core cyclone: TC
Height anomaly from zonal mean shaded
Height anomaly increases with
altitude in troposphere
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Classic warm-core cyclone: TC
• Intensifies through: sustained convection, surface fluxes.
• Cyclone strength greatest near the top of the PBL
Gradient wind balance in a convective environ.
L
Wa rm
Cold
Z Troposphere
Stratosphere
Height anomaly
- +
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Classic cold-core cyclone: Extratropical
L2.5 NCAR/NCEP reanalysis
Low pressure results from column of air
on average warmer than
environment, with the anomalous warmth in the stratosphere
Cleveland Superbomb Temperature Anomaly
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Classic cold-core cyclone: Extratropical
Height anomaly from zonal mean shaded
Height anomaly decreases with
altitude in troposphere
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Classic cold-core cyclone: Extratropical• Intensifies through: baroclinic development, tropopause
lowering.
• Cyclone strength greatest near tropopause
QG balance in a minimally convective environ
L
Cold
Warm
Z Troposphere
Stratosphere
Height anomaly over sfc center
- +
Warm
Cold
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Hybrid (non-conventional) cyclone
Troposphere
Stratosphere
Colder
Warmer
Z
Warmer
L Height anomaly over sfc center
- +
What if an occluded extratropical cyclone moves over warm water? Characteristics of tropical and extratropical cyclones.
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Cyclone Parameters 1 and 2: Vertical structure -VT: Thermal Wind [Warm vs. Cold Core]
Height anomaly
- +
Height anomaly
- +
Height anomaly
- +
Warm core Hybrid Cold Core
300mb
600mb
900mb
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Cyclone Parameter -VT: Thermal Wind
Warm-core example: Hurricane Floyd 14 Sep 1999
Z
Z
Z
Z
Z
Z
Z
Z
Z
||ln
)(600
900
LT
hPa
hPa
MINMAX Vp
ZZ
||ln
)(300
600
UT
hPa
hPa
MINMAX Vp
ZZ
Two layers of interest
Vertical profile of ZMAX-ZMIN is proportional
to thermal wind (VT).
||ln
)(T
MINMAX Vp
ZZ
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Cyclone Parameter -VT: Thermal Wind
Cold-core example: Cleveland Superbomb 26 Jan 1978
||ln
)(600
900
LT
hPa
hPa
MINMAX Vp
ZZ
||ln
)(300
600
UT
hPa
hPa
MINMAX Vp
ZZ
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Third dimension?• We now have two parameters of the CPS that
discriminate the vertical structure of a cyclone: warm vs. cold vs. hybrid core
• What about the horizontal structure?
• How do we separate the horizontal structure of the various types of cyclones?
• Ultimately, a good measure is frontal nature (baroclinic vs. barotropic structure)
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Cyclone Parameter 3: Horizontal structureB: Thermal Asymmetry
Symmetric Hybrid Asymmetric
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• Defined using storm-relative 900-600hPa mean thickness field (shaded) asymmetry within 500km radius:
B >> 0: Frontal B0:Nonfrontal
Cyclone Parameter B: Thermal Asymmetry
3160
m32
60mL
Cold Warm
LhPahPa
RhPahPa ZZZZB 900600900600
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Cyclone Parameter B: Thermal Asymmetry
L L L
Developing Mature Occlusion
B >> 0 B > 0 B 0
Conventional Extratropical cyclone: B varies
L L L
Forming Mature Decay
Conventional Tropical cyclone: B 0
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Constructing Phase Space
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Constructing 3-D phase space from cyclone parameters: B, -VT
L, -VTU
A trajectory within 3-D generally too complex to visualize in an operational setting
Take two cross sections (slices) :
B
-VTL
-VTU
-VTL
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Hurricane Mitch (1998)
Case of symmetric, warm-core development and decay
Classic tropical cyclone
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Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 1: B Vs. -VT
L
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Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 1: B Vs. -VT
L
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Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 2: -VT
L Vs. -VTU
Upward warm core development maturity, and decay.
With landfall, warm-core weakens more rapidly in lower troposphere than upper.
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Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 2: -VT
L Vs. -VTU
Upward warm core development maturity, and decay.
With landfall, warm-core weakens more rapidly in lower troposphere than upper.
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December 1987 Extratropical Cyclone
Case of asymmetric, cold-core development and decay
Classic occlusion of an extratropical cyclone
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Asymmetric cold-core evolution: Extratropical CycloneSlice 1: B Vs. -VT
L
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Asymmetric cold-core evolution: Extratropical Cyclone Slice 2: -VT
L Vs. –VTU
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Hurricane Floyd (1999)
Multiple phase evolution:
Case of extratropical transition of a tropical cyclone
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Warm-to-cold core transition: Extratropical Transition of Hurricane Floyd (1999): B Vs. -VT
L
-VTL
B
1 2
3
45
1
2
3
45
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Warm-to-cold core transition: Extratropical Transition of Hurricane Floyd (1999)
B Vs. -VTL
Provides for objective indicators of extratropical transition lifecycle.
Extratropical transition begins when B=10m
Extratropical transition ends when –VT
L < 0
-VTL
B
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Spaghetti Plot of 34 Cyclone Phase Trajectories based upon Navy NOGAPS operational analyses
B
-VTL
960hPa 970hPa 980hPa 990hPa 1000hPa 1010hPa
Symmetric Warm Core
Asymmetric Warm-core
Symmetric Cold-core
Asymmetric Cold-Core
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TE
TE+24h
TE+48h
TB
TMID
TB-24h
TB-48h
34-Cyclone Composite Mean Phase NOGAPS-analysis based Trajectory with key milestones labeled
Composite Mean ET Structural Evolution Summary
TB-72h
TE+72h
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Boxes represent the calculated one standard deviation spread about the 34-cyclone consensus mean trajectory for each time
Variability About the Composite Mean
Considerable variability about mean once transition completed=> posttropical phase can take many forms….
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Floyd (1999): Non-intensifying cold-core development
Hugo (1989): Explosive cold-core development
Charley (1986): Schizophrenia
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Dennis (1999): “ET-Interruptus”.Cindy (1999): Absorption.
Keith (1988): Explosive warm-seclusion development
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Hurricane Olga (2001)
Multiple phase evolution:
Case of tropical transition of a cold-core cyclone
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Cold-to-warm core transition: Tropical Transition of Hurricane Olga (2001)
-VTU Vs. -VT
L
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Cold-to-warm core transition: Tropical Transition of Hurricane Olga (2001)
-VTU Vs. -VT
L
-VTL
-VTU
Tropical transition begins when –VT
L > 0
(subtropical status)
Tropical transition completes when –VT
U > 0
(tropical status)
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Catarina: What was it in this context?
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Summary of cyclone types within the phase space
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Summary of cyclone types within the phase space
?Polar lows?
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Phase space limitations
• Cyclone phase diagrams are dependent on the quality of the analyses upon which they are based.
• Three dimensions (B, -VTL, -VT
U) are not expected to explain all aspects of cyclone development
• Other potential dimensions: static stability, long-wave pattern, jet streak configuration, binary cyclone interaction, tropopause height/folds, surface moisture availability, surface roughness...
• However, the chosen three parameters represent a large percentage of the variance & explain the crucial structural changes.
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Important Caveats:
Often model analysis representation is poor
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Important Caveats: Warm Seclusion Dilemma
• At middle to higher latitudes, often winter-type cyclones will develop tropical-type structure– Warm core
– Eye
– Extreme intensity
• These cyclones often are “the worst of both worlds”– Tropical
– Extratropical
• They represent the largest forecast problems for oceanic forecasting
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Forecast South Atlantic Warm Seclusion this week
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Cold-Core Post-transition ET
Warm Seclusion Post-transition ET
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Surface wind field of a warm seclusion
Figure courtesy Ryan Maue, FSU
40kt, 75kt, 90kt
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Vertical structure of a warm seclusion
Figure courtesy Ryan Maue, FSU
Warm core to the west, cold core to the east!!
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Revisit: Why is the phase of a cyclone important?
• Predictability is a function of cyclone phase• Model interpretation/trust is a function of phase• It is often not at first apparent what the model is
forecasting, or the nature of cyclone development• Peak intensity is a function of cyclone phase
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Cyclone Phase Forecasting & Real-time Web Site
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Real-time Cyclone Phase Analysis & Forecasting
• Phase diagrams produced in real-time for various operational and research models.
• Provides insight into cyclone evolution that may not be apparent from conventional analyses
• Web site: http://moe.met.fsu.edu/cyclonephase
• Also available a historical archive of CPS diagrams for nearly 100 cyclones
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Cyclone Phase Web Page Overview• Model analyses and forecast-based phase
diagrams:– GFS (0,6,12,18 UTC)– CMC (0,12 UTC)– GFDL (0,6,12,18 UTC)– HWRF (0,6,12,18 UTC)– MM5 (FSU) (0,12 UTC)– NAM (0,6,12,18 UTC)– NOGAPS (0,12 UTC)– UKMET (0,6,12,18 UTC)
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• Trajectory through phase space describes structural evolution– A = When cyclone was first detected– C = Current analysis time– Z = Cyclone dissipation time or end of model forecast data– AC = cyclone structural history– CZ = cyclone structural forecast– Date is labeled at 00Z along phase trajectory
• Color of trajectory gives cyclone intensity in MSLP
• Size of marker gives average radius of 925hPa gale-force wind
• Cyclone track & underlying SST provided in inset
• Phase diagram quadrants are shaded to give more rapid interpretation
Cyclone Phase Web Page Overview
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Example real-time cyclone availability for GFS
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Example GFS forecast oceanic extratropical cyclone
Forecast phase analysis
Zoomed
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Ensembling
Structural Predictability
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Sensitivity to initial conditions & physics• Often there is phase dependency on the type of
data assimilation or model physics
11 November 2003 GFDL vs GFS AVN
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Multiple model solutions: Measure of structural forecast uncertainty
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Multiple model solutions: Measure of structural forecast uncertainty
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Tropical Storm Noel: GFS ENS
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Tropical Storm Noel: GFS ENS
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CPS provides a method to verify model cyclone
structure forecasts
GFS ANALYSIS GFS 5-day FORECAST
DIFFERENCE
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Closing thoughts• They have been shown to be very helpful for:
– Understanding the current analysis of a cyclone– Understanding the subtlety among many models– Quantifying the timing of
• Extratropical to tropical transition• Tropical to extratropical transition• Genesis
– Used by NHC, CHC, JTWC, JMA [approx 100 citations]
• We must remember they cannot replace other tools– If used, they should be in addition to other tools– They are only as useful as the source data
• We always welcome new model output to the web page
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Obrigado
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Extra Slides
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Three key subcomposites
• Fast [<=12hr] vs. Slow [>=48hr] Transitioning
• Post-ET Intensification (N=6) vs. Weakening (N=11)
• Post-ET Cold-Core (N=15) vs. Warm-Seclusion (N=6)
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TB: Fast (left) vs. Slow (right) Transitioning
500mb Height
& Anom.
SST & Anom.
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TB: Post-ET Weakening (left) vs. Intensification (right)
Strengthen (N=6)
500mb Height
& Anom.
SST & Anom.
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TE: Post-ET Cold-core (left) vs. warm-seclusion (right)
Strengthen (N=6)
320K PV
320K PV