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A CLIMATOLOGY OF TORNADOES ASSOCIATED WITH GULF COAST LANDFALLING HURRICANES (1950-2005) Todd W. Moore and Richard W. Dixon Department of Geography, Texas State University-San Marcos INTRODUCTION Tornadoes associated with landfalling hurricanes (HTs) have the potential to exacerbate fatalities and economic losses associated with landfalling hurricanes. HTs associated with Hurricane Ivan (2004), for instance, were responsible for 8+ fatalities (Stewart 2005) and Hurricanes Allen’s (1980) and Cindy’s (2005) produced approximately $70 million and $40 million, respectively, in economic losses (Gentry 1983; Stewart 2006, respectively). Relatively few studies (e.g. Novlan and Gray 1974; Gentry 1983; McCaul 1991; Schultz and Cecil 2009), particularly in recent years, have provided climatological descriptions of HTs. An interesting geographical result of these studies is that HTs are more commonly associated with Gulf Coast- landfalling rather than East Coast-landfalling hurricanes (Novlan and Gray 1974; Gentry 1983). This study will therefore present an updated descriptive climatology of HTs associated exclusively with Gulf Coast-landfalling hurricanes using observational data from 1950 to 2005. DATA SOURCES AND METHODOLOGY Hurricane data: 1. National Hurricane Center’s Atlantic, Caribbean, and Gulf of Mexico Hurricane Seasons Tropical Cyclone report. 2. National Oceanic and Atmospheric Administration’s Coastal Service Center’s Historical Hurricane Tracks. Tornado data: 1. National Weather Service’s Storm Prediction Center’s Severe Weather Tornado database. Methodology: A geographic information system (ArcGIS 9, ArcMAP version 9.3 by ESRI) was used to identify HTs. To be associated with a hurricane landfall, a tornado must have met two parameters: 1. The tornado must have been located within 400 km of their hurricane’s center track on the day of tornado occurrence. 2. The tornado must have occurred the day before, the day of, or the day after their associated hurricane landfall. In all, data were collected for sixty hurricanes and 734 HTs. Descriptive statistics, linear regression, and chi-square (x 2 ) goodness-of-fit tests were used to explore general HT characteristics and their temporal and spatial distributions. Table 1 (below). HT frequency per F-Scale and HT path length and width statistics. Values in parentheses indicate frequencies and statistics with statistical extremes (> 3 SD). Path lengths of zero were excluded. N = HT frequency, Mdn = median, M = mean, CV = coefficient of variation (SD/M). A x 2 goodness-of-fit test (x 2 = 299.3, df = 3, p < 0.01) was used to examine the distribution of HTs per F-Scale and indicates that the observed distribution of HTs per F-Scale is not uniform, implying that the observed variability is real. HURRICANE-TORNADO CHARACTERISTICS Figure 1 (above). (a) Histogram illustrating the number of hurricanes (y-axis) producing a given range of HTs (x-axis). Vertical dashed line indicates statistical extremes (> 3 SD). (b) Descriptive statistics for HT frequency per hurricane landfall. With Extremes Without Extremes N 60 58 Range 0-101 0-49 Median 5.0 5.9 Mean 12.2 9.5 Coefficient of Variation 1.5 1.2 (b) HT Freq. Path Length (km) Path Width (m) N Mdn M CV N Mdn M CV F0 312 189 (190) 1.6 3.8 (4.0) 1.1 (1.3) 296 (299) 27.4 43.1 (46.3) 0.8 (1.0) F1 231 162 3.2 5.3 0.9 200 (204) 45.7 65.7 (74.0) 0.8 (1.1) F2 99 74 (77) 8 8.8 (10.3) 0.7 (0.9) 76 (84) 91.4 91.6 (128.6) 0.6 (1.0) F3 23 15 (18) 11.3 (13.7) 9.8 (13.8) 0.8 18 (19) 91.4 87.1 (106.6) 0.7 (0.9) F4 2 2 2.4 2.4 0.5 2 76.4 76.3 0.3 Total 667 456 (463) 3.2 5.3 (5.9) 1.0 (1.3) 614 (630) 45.7 58.3 (68.5) 0.8 (1.2) SPATIAL CHARACTERISTICS Figure 2. Observed spatial distribution of HTs associated with Gulf Coast-landfalling hurricanes. A x 2 goodness-of-fit test (x 2 = 36.8, df = 2, p < 0.01) indicates that HTs associated with Gulf Coast-landfalling hurricanes are non-uniformly distributed throughout the western, middle, and eastern sections of the Gulf Coast region. HTs were also dispersed inland but over half (54%) were located within 200 km and 78 percent within 400 km of the Gulf Coastline. Figure 3 and Figure 4. Selected examples of the observed spatial distribution of HTs relative to their associated hurricane center. Approximately 80% of the observed HTs were located to the right of their associated hurricane center relative to directional heading. Hurricane Ivan (2004) illustrates this tendency. Hurricane Andrew (1992) was the only to have a large portion (43%) of its HTs to the left of center. Figure 5. (a) Observed inter-annual HT trend. (b) Coefficients of determination (R 2 ), regression coefficients (B), and probability levels (p) for linear regression analysis of the inter-annual trend of HTs per F-Scale. Values in parentheses indicate results when statistical extremes (> 3 SD) are included. The observed increase illustrated in (a) is mostly attributable to increased reporting of F0s and F1s. No inter-annual trend is observed with strong or violent HTs. TEMPORAL CHARACTERISTICS R 2 B p F0 0.185 (0.116) 0.295 (0.327) 0.001 (0.010) F1 0.084 (0.122) 0.127 (0.192) 0.030 (0.008) F2 0.000 (0.020) 0.001 (0.030) 0.951 (0.304) F3 0.004 (0.007) -0.004 (-0.006) 0.655 (0.553) TEMPORAL CHARACTERISTICS (continued) Figure 7. Diurnal distribution of HTs. A x 2 goodness-of-fit test (x 2 = 228.5, df = 11, p < 0.01) indicates that HTs are not uniformly distributed throughout the day, implying that the observed variability is real. Figure 6. Monthly distribution of HTs. A x 2 goodness-of-fit test (x 2 = 199.34, df = 4, p < 0.01) indicates that HTs are not uniformly distributed throughout the season, implying that the observed variability is real. Figure 8. Histogram illustrating the time difference between HT touchdown and their associated hurricane landfall. Vertical dashed line indicates landfall. 52% occurred within 12-hrs of landfall. The largest cluster (33%) occurred in the first 11-hrs post-landfall. CONCLUSIONS Hurricane-Tornado Characteristics: 1. HT frequency per hurricane landfall is variable. Extreme events, such as Hurricane Ivan [2004(101 HTs)] do occur, however, the majority (80%) of hurricanes produce relativelyfew HTs (< 20). 2. HTs are overwhelmingly weak. HT path lengths and widths are variable, with the ability to be extreme, but are most commonly relatively short and narrow. HT path length and width generally increase with F-Scale. Temporal Characteristics: 1. A time series of annual HT frequency indicates an increasing trend, with most of this increase attributable to an increase in the reporting of F0s and F1s. It is important to keep in mind, however, that much of the observed increase is likely due to advancements in tornado detection technology and increased public awareness. 2. HTs occur throughout hurricane season. HT activity increases from June to maximum activity in middle season (August and September), followed by a decreasing trend to a minimum in November. 3. HTs occur at all hours of the day but are most common during afternoon hours. Environmental parameters are most favorable for HT development during afternoon hours, but some of the observed preference could be due to diurnal observation bias. 4. HTs can occur well before and after landfall with clustered activity within 12-hrs of landfall, with a majority (75%) occurring post-landfall. Spatial Characteristics: 1. HTs associated with Gulf Coast-landfalling hurricanes are non-uniformly distributed longitudinally and latitudinally. Grand HT frequency and mean HT count per hurricane landfall were greatest in the eastern Gulf Coast section (east of 87°W longitude). HTs are most common within 200 km of the Gulf Coastline. 2. Within their associated hurricane environment, HT location is overwhelmingly to the right of center relative to the hurricane’s directional heading. (a) (a) (b) REFERENCES 1. Gentry, R. C. 1983. Genesis of tornadoes associated with hurricanes. Monthly Weather Review 111: 1793-1805. 2. McCaul, E. W. 1991. Buoyancy and shear characteristics of hurricane-tornado environments. Monthly Weather Review 119: 1954- 1978. 3. Novlan, D. J. and W. M. Gray. 1974. Hurricane-spawned tornadoes. Monthly Weather Review 102: 476-488. 4. Schultz, L. A. and D. J. Cecil. 2009. Tropical Cyclone Tornadoes, 1950-2007. Monthly Weather Review 137: 3471-3484. 5. Stewart, S. R. 2005. Tropical Cyclone Report-Hurricane Ivan. http://www.nhc.noaa.gov/2004ivan.shtml? 6. . 2006. Tropical Cyclone Report-Hurricane Cindy. http://www.nhc.noaa.gov/pdf/TCR-AL032005_Cindy.pdf.

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Page 1: A CLIMATOLOGY OF TORNADOES ASSOCIATED WITH GULF …gato-docs.its.txstate.edu/jcr:357ffb8f-73b8-4644... · A CLIMATOLOGY OF TORNADOES ASSOCIATED WITH GULF COAST LANDFALLING HURRICANES

A CLIMATOLOGY OF TORNADOES ASSOCIATED WITH GULF COAST LANDFALLING HURRICANES (1950-2005)

Todd W. Moore and Richard W. DixonDepartment of Geography, Texas State University-San Marcos

INTRODUCTIONTornadoes associated with landfalling hurricanes (HTs) have the potential to exacerbate fatalities andeconomic losses associated with landfalling hurricanes. HTs associated with Hurricane Ivan (2004), forinstance, were responsible for 8+ fatalities (Stewart 2005) and Hurricanes Allen’s (1980) and Cindy’s(2005) produced approximately $70 million and $40 million, respectively, in economic losses (Gentry1983; Stewart 2006, respectively).

Relatively few studies (e.g. Novlan and Gray 1974; Gentry 1983; McCaul 1991; Schultz and Cecil 2009),particularly in recent years, have provided climatological descriptions of HTs. An interestinggeographical result of these studies is that HTs are more commonly associated with Gulf Coast-landfalling rather than East Coast-landfalling hurricanes (Novlan and Gray 1974; Gentry 1983). Thisstudy will therefore present an updated descriptive climatology of HTs associated exclusively with GulfCoast-landfalling hurricanes using observational data from 1950 to 2005.

DATA SOURCES AND METHODOLOGYHurricane data:1. National Hurricane Center’s Atlantic, Caribbean, and Gulf of Mexico Hurricane Seasons Tropical

Cyclone report.2. National Oceanic and Atmospheric Administration’s Coastal Service Center’s Historical Hurricane

Tracks.Tornado data:1. National Weather Service’s Storm Prediction Center’s Severe Weather Tornado database.

Methodology:A geographic information system (ArcGIS 9, ArcMAP version 9.3 by ESRI) was used to identify HTs. Tobe associated with a hurricane landfall, a tornado must have met two parameters:1. The tornado must have been located within 400 km of their hurricane’s center track on the day of

tornado occurrence.2. The tornado must have occurred the day before, the day of, or the day after their associated

hurricane landfall.

In all, data were collected for sixty hurricanes and 734 HTs. Descriptive statistics, linear regression, andchi-square (x2) goodness-of-fit tests were used to explore general HT characteristics and their temporaland spatial distributions.

Table 1 (below). HT frequency per F-Scale and HT path length and width statistics. Values inparentheses indicate frequencies and statistics with statistical extremes (> 3 SD). Path lengths of zerowere excluded. N = HT frequency, Mdn = median, M = mean, CV = coefficient of variation (SD/M). A x2

goodness-of-fit test (x2 = 299.3, df = 3, p < 0.01) was used to examine the distribution of HTs per F-Scaleand indicates that the observed distribution of HTs per F-Scale is not uniform, implying that theobserved variability is real.

HURRICANE-TORNADO CHARACTERISTICS

Figure 1 (above). (a) Histogram illustrating the number of hurricanes (y-axis) producing a given rangeof HTs (x-axis). Vertical dashed line indicates statistical extremes (> 3 SD). (b) Descriptive statistics forHT frequency per hurricane landfall.

With Extremes

Without Extremes

N 60 58

Range 0-101 0-49

Median 5.0 5.9

Mean 12.2 9.5

CoefficientofVariation

1.5 1.2

(b)

HT Freq.

Path Length (km) Path Width (m)

N Mdn M CV N Mdn M CV

F0 312 189 (190) 1.6 3.8 (4.0) 1.1 (1.3) 296 (299) 27.4 43.1 (46.3) 0.8 (1.0)

F1 231 162 3.2 5.3 0.9 200 (204) 45.7 65.7 (74.0) 0.8 (1.1)

F2 99 74 (77) 8 8.8 (10.3) 0.7 (0.9) 76 (84) 91.4 91.6 (128.6) 0.6 (1.0)

F3 23 15 (18) 11.3 (13.7) 9.8 (13.8) 0.8 18 (19) 91.4 87.1 (106.6) 0.7 (0.9)

F4 2 2 2.4 2.4 0.5 2 76.4 76.3 0.3

Total 667 456 (463) 3.2 5.3 (5.9) 1.0 (1.3) 614 (630) 45.7 58.3 (68.5) 0.8 (1.2)

SPATIAL CHARACTERISTICS

Figure 2. Observed spatial distribution of HTs associated with Gulf Coast-landfalling hurricanes. A x2

goodness-of-fit test (x2 = 36.8, df = 2, p < 0.01) indicates that HTs associated with Gulf Coast-landfallinghurricanes are non-uniformly distributed throughout the western, middle, and eastern sections of theGulf Coast region. HTs were also dispersed inland but over half (54%) were located within 200 km and78 percent within 400 km of the Gulf Coastline.

Figure 3 and Figure 4. Selected examples of the observed spatial distribution of HTs relative to theirassociated hurricane center. Approximately 80% of the observed HTs were located to the right of theirassociated hurricane center relative to directional heading. Hurricane Ivan (2004) illustrates thistendency. Hurricane Andrew (1992) was the only to have a large portion (43%) of its HTs to the left ofcenter.

Figure 5. (a) Observed inter-annual HT trend. (b) Coefficients of determination (R2), regressioncoefficients (B), and probability levels (p) for linear regression analysis of the inter-annual trend of HTsper F-Scale. Values in parentheses indicate results when statistical extremes (> 3 SD) are included.The observed increase illustrated in (a) is mostly attributable to increased reporting of F0s and F1s. Nointer-annual trend is observed with strong or violent HTs.

TEMPORAL CHARACTERISTICS

R2 B p

F0 0.185 (0.116) 0.295 (0.327) 0.001 (0.010)

F1 0.084 (0.122) 0.127 (0.192) 0.030 (0.008)

F2 0.000 (0.020) 0.001 (0.030) 0.951 (0.304)

F3 0.004 (0.007) -0.004 (-0.006) 0.655 (0.553)

TEMPORAL CHARACTERISTICS (continued)

Figure 7. Diurnal distribution of HTs. A x2

goodness-of-fit test (x2 = 228.5, df = 11, p <0.01) indicates that HTs are not uniformlydistributed throughout the day, implyingthat the observed variability is real.

Figure 6. Monthly distribution of HTs. A x2

goodness-of-fit test (x2 = 199.34, df = 4, p <0.01) indicates that HTs are not uniformlydistributed throughout the season, implyingthat the observed variability is real.

Figure 8. Histogram illustrating the time difference between HT touchdown and their associatedhurricane landfall. Vertical dashed line indicates landfall. 52% occurred within 12-hrs of landfall. Thelargest cluster (33%) occurred in the first 11-hrs post-landfall.

CONCLUSIONSHurricane-Tornado Characteristics:1. HT frequency per hurricane landfall is variable. Extreme events, such as Hurricane Ivan [2004(101

HTs)] do occur, however, the majority (80%) of hurricanes produce relatively few HTs (< 20).2. HTs are overwhelmingly weak. HT path lengths and widths are variable, with the ability to be

extreme, but are most commonly relatively short and narrow. HT path length and width generallyincrease with F-Scale.

Temporal Characteristics:1. A time series of annual HT frequency indicates an increasing trend, with most of this increase

attributable to an increase in the reporting of F0s and F1s. It is important to keep in mind, however,that much of the observed increase is likely due to advancements in tornado detection technologyand increased public awareness.

2. HTs occur throughout hurricane season. HT activity increases from June to maximum activity inmiddle season (August and September), followed by a decreasing trend to a minimum in November.

3. HTs occur at all hours of the day but are most common during afternoon hours. Environmentalparameters are most favorable for HT development during afternoon hours, but some of theobserved preference could be due to diurnal observation bias.

4. HTs can occur well before and after landfall with clustered activity within 12-hrs of landfall, with amajority (75%) occurring post-landfall.

Spatial Characteristics:1. HTs associated with Gulf Coast-landfalling hurricanes are non-uniformly distributed longitudinally and

latitudinally. Grand HT frequency and mean HT count per hurricane landfall were greatest in theeastern Gulf Coast section (east of 87°W longitude). HTs are most common within 200 km of the GulfCoastline.

2. Within their associated hurricane environment, HT location is overwhelmingly to the right of centerrelative to the hurricane’s directional heading.

(a)

(a)(b)

REFERENCES1. Gentry, R. C. 1983. Genesis of tornadoes associated with hurricanes. Monthly Weather Review 111: 1793-1805.2. McCaul, E. W. 1991. Buoyancy and shear characteristics of hurricane-tornado environments. Monthly Weather Review 119: 1954-

1978.3. Novlan, D. J. and W. M. Gray. 1974. Hurricane-spawned tornadoes. Monthly Weather Review 102: 476-488.4. Schultz, L. A. and D. J. Cecil. 2009. Tropical Cyclone Tornadoes, 1950-2007. Monthly Weather Review 137: 3471-3484.5. Stewart, S. R. 2005. Tropical Cyclone Report-Hurricane Ivan. http://www.nhc.noaa.gov/2004ivan.shtml?6. . 2006. Tropical Cyclone Report-Hurricane Cindy. http://www.nhc.noaa.gov/pdf/TCR-AL032005_Cindy.pdf.