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Relationships Between Eye Size and Intensity Changes of a N. Atlantic Hurricane

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Title: Relationships Between Eye Size and Intensity Changes of a N. Atlantic Hurricane


1
Relationships Between Eye Size and Intensity
Changes of a N. Atlantic Hurricane
  • Author Stephen A. Kearney
  • Mentor Dr. Matthew Eastin,
  • Central College

2
Introduction
  • Two primary components to hurricane forecasting
  • - Track
  • - Intensity
  • Current research on structure and intensity
  • Knowledge gained about storm structure with
    flight level data (e.g., Jorgensen, 1984)
  • Do relationships exist between eye size and
    intensity?
  • Previous studies (e.g., Weatherford and Gray
    1988) show weak correlation between eye size and
    minimum sea level pressure (MSLP)

3
Introduction/Hypothesis
  • Temporal changes associated with eye wall
    replacement cycles also noted (Willoughby et al.
    1990 Willoughby et al. 1982 Black et al. 1992)
  • Generally, smaller eye sizes coincident with
    greater intensity
  • Project investigates impact of eye diameter
    asymmetries on intensity changes
  • Hypothesis Eye sizes are characterized by
    changes in storm intensity

4
Overview
  • Procedures
  • Investigations
  • - Direct relationship
  • - Intensity change with eye size change
  • Effect of eye symmetry on storm intensity

5
Procedure
  • 88 total flights analyzed, only at hurricane
    strength
  • Flights analyzed at 850 mb and 700 mb levels
  • 14 various N. Atlantic hurricanes from 1979
    through 1995
  • Included some notable storms
  • Gilbert, 1988 Andrew, 1992

6
Procedure
  • Flights composed of several legs, or passes
    through eye
  • RMW Radius of Maximum Wind (Shea et al. 1973)
  • - Value of eye size
  • Two values for mean RMW
  • RMW1 Average of RMW from first four legs
  • RMW2 Average of RMW from last four legs
  • Only flights with at least eight legs used

7
Procedure
  • Mean times found in same way as mean RMW.
  • Labeled t1 and t2 , respectively
  • Change in Mean RMW per second

Mean RMW RMW2 RMW1
Change t2 t1
8
Procedure
  • Calculated change in Maximum Wind (m/s) and
    change in MSLP (mb)
  • Change values covered separate six-hour periods
    during and after each flight
  • - Immediate or future impact?
  • RMW Standard Deviation (RMW SD) found separately
    for RMW-1 and RMW-2

9
Investigations of RMW
  • Direct relationship
  • Initial Max Wind to RMW1
  • Final Max Wind to RMW2
  • Initial MSLP to RMW1
  • Final MSLP to RMW2

10
RMW vs Max Wind
  • Any direct relationship between RMW and Max Wind?

11
RMW vs MSLP
  • Any direct relationship between RMW and MSLP?
  • Very low pressures with small RMW values
    (Gilbert, 888 mb)

12
Investigations of RMW Change
  • Intensity change relationship with eye change
  • Max Wind Change during flight
  • Max Wind Change after flight
  • MSLP Change during flight
  • MSLP Change after flight

13
RMW Change vs Max Wind Change During Flight
  • Any immediate effect on Max Wind?
  • Little to no correlation found
  • Statistics
  • y 2.496 - 1.095 x
  • R0.039804

14
RMW Change vs Post Flight Max Wind Change
  • Any future effect on Max Wind?
  • Little to no correlation found
  • Statistics
  • y 1.888 - 0.298 x
  • R 0.003811

15
RMW Change vs MSLP Change During Flight
  • Any immediate effect on MSLP?
  • Little to no correlation found
  • Statistics
  • y 2.722 0.602 x
  • R 0.034097

16
RMW Change vs Post Flight MSLP Change
  • Any future effect on MSLP Change?
  • Little to no correlation found
  • Statistics
  • y 1.534 0.392 x
  • R0.01604

17
Results
  • Direct Relationship
  • Very little correlation present
  • Relationship to RMW Change
  • Not much correlation
  • Agrees with findings of Weatherford and Gray
    (1988)

18
RMW Std Dev
  • Approximate measure of eye structure symmetry
  • Larger RMW SD RMW values dissimilar
  • Indicated more asymmetric eye structure
  • Smaller RMW SD RMW values similar
  • Indicated more symmetric eye structure

19
MSLP vs RMW SD
  • MSLP and RMW SD had noticeable correlation
  • Found ranges of RMW SD to get different levels
    of eye symmetry (i.e., lt 3, 3 to 6, 6 to 9)
  • Calculated Mean and Std Dev of MSLP Change within
    each RMW SD range

20
MSLP Change vs RMW1 SD During Flight
  • Std Dev bars on left - Variability of MSLP Change
  • Diagonal lines indicate mean MSLP in each level
  • MSLP change values plotted on right against RMW1
    SD

21
MSLP Change vs RMW2 SD During Flight
  • Std Dev bars on left - Variability of MSLP Change
  • Diagonal lines indicate mean MSLP in each level
  • MSLP change values plotted on right against RMW2
    SD

22
Post Flight MSLP Change vs RMW1 SD
  • Std Dev bars on left - Variability of MSLP Change
  • Diagonal lines indicate mean MSLP in each level
  • MSLP change values plotted on right against RMW1
    SD

23
Post Flight MSLP Change vs RMW2 SD
  • Std Dev bars on left - Variability of MSLP Change
  • Diagonal lines indicate mean MSLP in each level
  • MSLP change values plotted on right against RMW2
    SD

24
Summary and Conclusion
  • Very little relationship between eye diameter and
    intensity change, current or future
  • Symmetric structure indicated by RMW SD
  • Lower MSLP Std Dev trended with higher RMW SD
  • MSLP changed the most with more symmetric
    structure

25
Summary and Conclusion
  • More asymmetric structure negative impact on
    storm
  • More time for vertical shear
  • More time for colder SSTs to inhibit
    strengthening
  • More symmetric structure positive impact on
    storm
  • Allows winds to increase quicker
  • Other studies (e.g. Shapiro and Willoughby 1982)
    show more symmetric structure has better
    spin-up effect

26
Summary and Conclusion
  • Eye symmetry important to forecasting
  • Case study by Willoughby et al. 1990
  • - Outer eye wall observed to contract before
    becoming asymmetric
  • - Retained intensity on one side, then weakened
    on the other
  • - Can create different effects on a local area,
    depending on landfall time and location

27
Points to Consider
  • Only flights from 1979 to 1995 were used
  • Tropical cyclones stronger and more frequent in
    past ten years
  • Further studies, especially on 2005 record
    breaking season, can be done
  • More frequent flights into storms today
  • Higher resolution data may indicate further
    relationships

28
Acknowledgements
  • Author would like to thank the following
  • Dr. Matthew Eastin - mentorship, guidance, and
    data
  • Dr. Takle - advice
  • NOAAs Hurricane Research Division - data
  • Classmates and Professors - moral support

29
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