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Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

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Page 1: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Analysis of Cloud-to-Ground Lightning Within 16 Landfalling HurricanesDanielle Nagele

Page 2: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Previous Literature

•Squires and Businger 2008▫ RI outbreaks – strike density increased (decreased) rapidly

before (after) reaching max. strike density

•Samsury and Orville 1994▫ Hugo had only 33 flashes, Jerry had 691 flashes▫ Majority of flashes on right side

Page 3: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Previous Literature

•Molinari et al. 1999▫ Findings support 3 regions

eyewall inner bands, 20–80 km outside the eyewall outer bands, outside of the 100-km radius

▫ Predictive value of eyewall flashes Lightning outbreak in core of storm can indicate intensity

changes

•Lyons and Keen 1994▫ Lightning within convective elements of outer bands during

most stages of life cycle▫ Lightning bursts within 100-150 km of the center may indicate

intensification

Page 4: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Hypothesis and Goals

•Climatology of CG lightning within hurricanes during landfall period▫ Reveal patterns with regards to the number/location of

flashes

•Hypothesis▫ There will be bursts of CG lightning along the coast as

the right, front quadrant moves across land

Page 5: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

• Greater updraft strength▫ Increase in surface convergence due to friction cause by

surface roughness

• Powell 1982, Powell 1991, and Powell 1996 looked at Hurricanes Fredric, Hugo, and Andrew respectively▫ Enhanced convergence to the right of the center, divergence to

the left▫ Powell 1982 – ratio of wind speeds directly inland to

immediately offshore from .74 to .84

• Results in more graupel-sized particles above the freezing level and more vigorous charge seperation▫ Enough to create small bursts in lightning during this

time

Page 6: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Hurricanes

Page 7: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Methodology

• Data▫ NLDN lightning data (Vaisala)

Updated in 1995, increasing detection efficiency to 80-90%, 2002/2003 to 90-95%

Reliable up to 400 km away from sensor▫ NEXRAD WSR-88D Level II radar data (NCDC)▫ HURDAT satellite data (NCDC)▫ Six hourly best track (NHC)▫ H*Wind track files (HRD)

• Lightning, radar, satellite data viewed on ANGEL (IDL GUI created by Dr. Kyle Wiens)

Page 8: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Methodology• Rainbands start interacting with coast - six hours after

landfall Storm center within 300 km of the coast

• Storms from 1997-2007 Landfall as a hurricane along the Gulf or Florida coasts

• Landfall defined as the time center of the eye passes over land

• Overlay range rings centered around the center of the eye

• Overlay approximate storm track

• Break storms into three regions – inner core, inner rainband, outer rainbands

• Break three regions up into four storm relative quadrants

• Record flashes every ten min.

Page 9: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Schematic

R1 - Inner Core

R2 - Inner Rainband

R3 - Outer Rainband

Page 10: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele
Page 11: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Methodology

•Bursts:▫Increase by 50% from one ten minute

period to the next Avg. flash rate less than five, threshold 15 Avg. flash rate more than five, threshold 20

▫Analyzed each burst that occurred inland, within 20 km of the coast Gridded radar, examined cross sections Height of 35 dBZ line, max. dBZ, lightning

Page 12: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Bursts•Summary:

▫ 252 bursts in all▫ 190 over water▫ 27 inland, beyond 20 km of the coast▫ 37 inland, within 20 km of the coast

3 occurred within an eyewall▫ Q1-100, Q2-95, Q3-32, Q4-25▫ Most bursts - Katrina, Ivan, Bret, Danny

•Height of 35 dBZ line▫ In 8 bursts, greatest height 1 or 2 scans before burst▫ In 12 bursts, greatest height scan during burst▫ In 5 bursts, greatest height 1 or 2 scans after ▫ In 2 bursts, no correlation seen

Page 13: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Example Burst (during)

Page 14: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele
Page 15: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Burst

Page 16: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele
Page 17: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Example Burst (before)

Page 18: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele
Page 19: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Burst

Page 20: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele
Page 21: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Percentage of TotalYear Storm Cat % Pos % R1 % R2 % R3 % Q1 % Q2 % Q3 % Q42007 Humberto 1 8 14.9 2.2 82.8 66.7 19.3 1.9 12.12005 Katrina 3 13 1.0 0.7 98.3 55.3 27.8 3.1 13.7

Rita 3 14 3.5 2.4 94.1 13.5 80.2 5.0 1.2Dennis 3 21 9.5 0.0 90.4 45.7 48.6 2.4 3.3Wilma 3 32 11.2 1.6 87.2 3.9 0.7 6.2 89.2

2004 Ivan 3 33 0.0 2.0 97.9 60.6 38.9 0.5 0.0Jeanne 3 30 9.3 0.0 90.7 25.6 9.3 9.3 55.8Charley 4 25 6.2 0.7 93.1 65.4 3.3 2.6 28.7Frances 2 8 0.6 0.4 98.4 15.9 35.5 39.5 9.2

2003 Claudette 1 20 3.6 6.4 90.0 4.3 73.5 20.9 1.32002 Lili 1 17 12.2 1.1 86.7 60.0 36.1 0.3 3.71999 Bret 3 6 0.4 0.2 99.4 33.3 58.7 6.1 2.0

Irene 1 13 11.8 16.8 71.4 63.9 18.4 0.3 17.31998 Georges1 2 16 8.3 3.1 88.5 30.7 46.7 11.3 11.3

Georges2 2 16 0.0 0.0 100.0 35.3 62.8 1.9 0.01997 Danny 1 11 7.5 10.0 82.5 51.2 33.4 11.1 4.3

• Irene, 3 stdev. above mean for R2 • Irene, 2 stdev. below mean for R3• Frances, 3 stdev. above mean for Q3• Wilma, 3 stdev. above mean for Q4

Page 22: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Year Storm Cat 6 Hr Before 6 Hr After % Increase

2007 Humberto 1 621 1090 76

2005 Katrina2 3 574 2656 363

Rita 3 481 1814 277

Dennis 3 699 523 -25

Wilma 3 83 109 31

2004 Ivan 3 793 731 -8

Jeanne 3 18 1 -94

Charley 4 1272 7240 469

Frances 2 321 433 35

2003 Claudette 1 857 1356 58

2002 Lili 1 429 433 1

1999 Bret 3 1887 623 -67

Irene1 1 111 329 196

1998 Georges1 2 783 1945 148

Georges2 2 82 595 626

1997 Danny 1 1112 2622 136

Before and After Landfall

Page 23: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Patterns• Rita, Katrina, Ivan, Georges1, Danny, Bret, Charley showed similar

pattern ▫ Steady decrease in R3 lightning before landfall, slight or large increase after

Page 24: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

• Rita, Irene, Humberto, Dennis all had a peak in R1 flashes during landfall▫ Wilma had a peak ~1 hr. before and Charley ~1 hr. after

• Dennis (1200) and Humberto (0600) had peak in R1 flashes at min. press.

Page 25: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Conclusions

• Bursts along coast seen in right, front quadrant▫ Isolated, within outer bands or eyewall▫ Most bursts correspond with an increase in the 35 dBZ line

(scan before or during burst)▫ Multiple bursts from same rainband occurring in regular

intervals

• Bursts along coast predominantly in Q1 ▫ Only 7 of 37 in other quadrants

• Of all types of bursts, largest concentration seen in Q1 and Q2▫ 195 in Q1 and Q2, 57 in Q3 and Q4

Page 26: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

Conclusions• Most lightning concentrated in outer band, Q1

• 7/16 storms show similar trend of a gradual decrease in flashes before landfall

• On avg., stronger storms had a higher % of pos. flashes, but lower % of inner core flashes

• The 3 storms that made landfall on west coast of FL, had a higher than avg. % of flashes in Q4

• Weaker storms had a greater increase in flashes after landfall

• Inner core lightning may be correlated with strengthening and/or landfall

Page 27: Analysis of Cloud-to-Ground Lightning Within 16 Landfalling Hurricanes Danielle Nagele

References

Lyons, Walter A., and Cecil S. Keen. “Observations of Lightning In Convective Supercells within Tropical Storms and Hurricanes.” Monthly Weather Review 122 (1994): 1897-1916.

Molinari, et al. “Convective Structure of Hurricanes as Revealed by Lightning Locations.” Monthly Weather Review 127 (1999): 520-534.

Powell, Mark D. “The Transition of the Hurricane Fredric Boundary-Layer Wind Field from the Open Gulf of Mexico to Landfall.” Monthly Weather Review 110 (1982): 1912 – 1932.

Samsury, Christopher E., and Richard E. Orville. “Cloud-to-Ground Lightning in Tropical Cyclones: A Study of Hurricanes Hugo (1989) and Jerry (1989).” Monthly Weather Review 122 (1994): 1887-1896.

Squires, K., and S. Businger. “The Morphology of Eyewall Lightning Outbreaks in Two Cat. 5 Hurricanes.” Monthly Weather Review 135 (2008): 1706-1726.