1 / 87

“Gustav” 2002

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

milt
Télécharger la présentation

“Gustav” 2002

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Cyclone Phase Space: One method to diagnose current & forecast cyclone structureor“Terapia para o ciclone com uma crise de identidade” “Gustav” 2002 “Catarina” 2004

  2. 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

  3. Images courtesy NCDC Test: Separate the 5 tropical cyclones from the 5 non-tropical.

  4. 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!

  5. Some practical issues related to structure

  6. The benefits and drawbacks of relying on climatology

  7. Model interpretation: What type of development? PMIN=1009hPa PMIN=1001hPa PMIN=1005hPa PMIN=1003hPa

  8. 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

  9. Additional relevance: Predictability

  10. Additional relevance: Predictability

  11. ? 940hPa Non-conventional cyclones: Examples 1938 New England Hurricane • 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 Pierce 1939

  12. Example of nonclassic structure 21 December 1994 22 December 1994 23 December 1994 24 December 1994

  13. Non-conventional cyclones: Examples Christmas 1994 Hybrid New England Storm • 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. NCDC

  14. Non-conventional cyclones: Examples Catarina (2004) • 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! NCDC

  15. 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

  16. The end result:We need a diagnosis of basic cyclone structure that is more flexible than only tropical or extratropical

  17. 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. Parameter B Phase Space Parameter C Parameter A

  18. 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

  19. Let us begin with a review the structure of the text-book cyclone types

  20. Hurricane Bonnie (1998) Temperature Anomaly Classic warm-core cyclone: TC 12km 6km 1km - 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 Anomaly + Image courtesy Mark DeMaria, CIRA/CSU www.cira.colostate.edu/ramm/tropic/amsustrm.asp

  21. Classic warm-core cyclone: TC TC Height Field (m) from hydrostatic balance Warm: expansion of surfaces Cold: contraction of height surface

  22. Classic warm-core cyclone: TC Height anomaly from zonal mean shaded Height anomaly increases with altitude in troposphere

  23. - + Cold Stratosphere Z Troposphere Wa rm L Height anomaly 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.

  24. Classic cold-core cyclone: Extratropical Cleveland Superbomb Temperature Anomaly Low pressure results from column of air on average warmer than environment, with the anomalous warmth in the stratosphere L 2.5 NCAR/NCEP reanalysis

  25. Classic cold-core cyclone: Extratropical Height anomaly from zonal mean shaded Height anomaly decreases with altitude in troposphere

  26. - + Height anomaly over sfc center Classic cold-core cyclone: Extratropical • Intensifies through: baroclinic development, tropopause lowering. • Cyclone strength greatest near tropopause  QG balance in a minimally convective environ Cold Warm Stratosphere Z Troposphere Cold Warm L

  27. - + Warmer Stratosphere Z Troposphere Colder Warmer L Height anomaly over sfc center Hybrid (non-conventional) cyclone What if an occluded extratropical cyclone moves over warm water? Characteristics of tropical and extratropical cyclones.

  28. - - - + + + Height anomaly Height anomaly Height anomaly Cyclone Parameters 1 and 2: Vertical structure -VT: Thermal Wind [Warm vs. Cold Core] Warm core Hybrid Cold Core 300mb 600mb 900mb

  29. Two layers of interest Cyclone Parameter -VT: Thermal Wind Warm-core example: Hurricane Floyd 14 Sep 1999 Vertical profile of ZMAX-ZMIN is proportional to thermal wind (VT). Z Z Z Z Z Z Z Z Z

  30. Cyclone Parameter -VT: Thermal Wind Cold-core example: Cleveland Superbomb 26 Jan 1978

  31. 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)

  32. Cyclone Parameter 3: Horizontal structureB: Thermal Asymmetry Symmetric Hybrid Asymmetric

  33. Cyclone Parameter B: Thermal Asymmetry • Defined using storm-relative 900-600hPa mean thickness field (shaded) asymmetry within 500km radius: B >> 0: Frontal B0: Nonfrontal 3160m 3260m L Cold Warm

  34. Conventional Tropical cyclone: B  0 Forming Mature Decay L L L • Conventional Extratropical cyclone: B varies Developing Mature Occlusion L L L B >> 0 B > 0 B  0 Cyclone Parameter B: Thermal Asymmetry

  35. Constructing Phase Space

  36. Constructing 3-D phase space from cyclone parameters: B, -VTL, -VTU A trajectory within 3-D generally too complex to visualize in an operational setting  Take two cross sections (slices) : B -VTU -VTL -VTL

  37. Hurricane Mitch (1998)Case of symmetric, warm-core development and decay Classic tropical cyclone

  38. Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 1: B Vs. -VTL

  39. Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 1: B Vs. -VTL

  40. Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 2: -VTL Vs. -VTU Upward warm core development maturity, and decay. With landfall, warm-core weakens more rapidly in lower troposphere than upper.

  41. Symmetric warm-core evolution: Hurricane Mitch (1998)Slice 2: -VTL Vs. -VTU Upward warm core development maturity, and decay. With landfall, warm-core weakens more rapidly in lower troposphere than upper.

  42. December 1987 Extratropical CycloneCase of asymmetric, cold-core development and decayClassic occlusion of an extratropical cyclone

  43. Asymmetric cold-core evolution: Extratropical CycloneSlice 1: B Vs. -VTL

  44. Asymmetric cold-core evolution: Extratropical Cyclone Slice 2: -VTL Vs. –VTU

  45. Hurricane Floyd (1999)Multiple phase evolution:Case of extratropical transition of a tropical cyclone

  46. 5 4 Warm-to-cold core transition: Extratropical Transition of Hurricane Floyd (1999): B Vs. -VTL 3 5 B 2 4 3 1 1 2 -VTL

  47. Extratropical transition ends when –VTL < 0 B Extratropical transition begins when B=10m -VTL Warm-to-cold core transition: Extratropical Transition of Hurricane Floyd (1999) B Vs. -VTL Provides for objective indicators of extratropical transition lifecycle.

  48. Spaghetti Plot of 34 Cyclone Phase Trajectories based upon Navy NOGAPS operational analyses 960hPa 970hPa 980hPa 990hPa 1000hPa 1010hPa Asymmetric Cold-Core Asymmetric Warm-core B Symmetric Cold-core Symmetric Warm Core -VTL

  49. Composite Mean ET Structural Evolution Summary 34-Cyclone Composite Mean Phase NOGAPS-analysis based Trajectory with key milestones labeled TE+24h TE TE+48h TMID TB TE+72h TB-24h TB-72h TB-48h

  50. Variability About the Composite Mean Boxes represent the calculated one standard deviation spread about the 34-cyclone consensus mean trajectory for each time Considerable variability about mean once transition completed=> posttropical phase can take many forms….

More Related